PROSIDING SNAST

PENYULINGAN AIR MENGGUNAKAN PANAS MATAHARI DENGAN PENAMBAHAN LAPISAN PASIR

Agus Dwi Korawan — 2024-11-23

Solar water distillation is one of the most efficient, economical and simple for purifying dirty water, this is because it uses renewable energy. Many researchers are perfecting the distillation for its effectiveness. In this study, it was carried out by adding a layer of sand with the aim of increasing the distillation results. It was carried out with variations in the addition of sand layers of 20 mm, 40 mm, and 60 mm. The study was conducted in August 2024 located at STT Ronggolawe. The results showed that there was an increase of 5.5% in distillation with a 20 mm sand layer, a 12% increase in distillation with a 40 mm sand layer, and a 23.6% increase in distillation with a 60 mm sand layer when compared to without an sand layer.

INOVASI DALAM ENERGI TERBARUKAN: JARINGAN SYARAF TIRUAN UNTUK MERAMALKAN DAYA FOTOVOLTAIK

Bagus Tri Kuncoro — 2024-11-23

Variations in meteorological conditions cause intermittency, voltage spikes, and feedback power flow, impacting the uncertainty of photovoltaic output, which affects the reliability, stability, and scheduling of photovoltaic operations. Optimal prediction of photovoltaic output power is necessary in the planning and operation of power systems. Photovoltaic technology is utilized to generate electrical energy from direct sunlight. Climatic factors such as cloud cover, humidity, and wind speed also contribute to the electrical energy produced by solar modules. This research discusses a model for predicting photovoltaic output power for the next day using the backpropagation neural network method and multi-factor analysis. In this study, there are 2 different input neurons with 10 predetermined network architectures, a learning rate of 0.1, and a minimum target error of 0.001. The best performance prediction results with the smallest Mean Squared Error (MSE) value were obtained using a backpropagation neural network structure from the 5-20-1 model, which is almost close to the actual value. However, further research is needed to improve the prediction results.

OPTIMASI SUDUT KEMIRINGAN PANEL SURYA JENIS MONOKRISTALIN DAN POLIKRISTALIN DI WILAYAH KOTA PRABUMULIH

Teguh Yuwono — 2024-11-23

The tilt angle of the solar panel is one of the factors that affect the performance of the solar panel considering its function is to maximize the reception of solar energy radiation. Therefore, it is necessary to study the potential of solar energy and optimize the reception of solar radiation by maximizing the tilt of the solar panel. This research will simulate and optimize the angle of the monocrystalline and polycrystalline solar panels by utilizing the potential of solar energy in the Prabumulih City area. Based on this data, data will be collected from solar cell panels which include solar radiation data, and the resulting power output at each variation of the tilt angle of 1º, 3º, 5º, 10º, 15º, 20º, 25º, 30º, 35º, 40º, and 45º. The purpose of this study was to determine the most appropriate tilt position of the solar panels on the efficiency of the solar panels. The research method used is to simulate the tilt angle of the solar panels which is carried out using variations of the tilt angle of the solar panels using RETScreen Expert software. From the simulation results of the monocrystalline and polycrystalline solar panel tilt angle using RETSreen Expert that has been carried out, it is obtained that the tilt position of the solar panels and different output power is obtained, the simulation results of the monocrystalline type solar panel tilt angle is 1º with an output power of 230,492 kWh per year and solar panels polycrystalline is 3º with an output power of 215,608 kWh per year.

KAJI EKSPERIMENTAL PENGARUH CAMPURAN BIOETANOL DARI MOLASSE PADA BAHAN BAKAR GASOLINE TERHADAP EMISI GAS BUANG YANG DIHASILKAN

Muhammad Risky — 2024-11-23

Bioethanol is an alcohol compound that comes from the fermentation process of carbohydrate compounds using the help of the microbe saccaromyches cereviceae. Bioethanol production from plants containing cellulose, including molasses, is carried out through the conversion process of lignocellulose into cellulose using several methods, namely; physical, chemical and biological hydrolysis. Molasses which comes from the Gendis Multi Manis Jepon Blora Sugar Factory, Central Java, is a by-product of the sugar processing industry which still contains sugar and organic acids. The molasses produced has a fairly high sucrose content in molasses, around 48-55% so it can be used as a good raw material for making ethanol. The results of tests carried out using a mixture of Bioethanol with Pertalite fuel have an influence on exhaust gas emissions by increasing the bioethanol mixture. produces different values of CO, HC, CO2, O2. The highest CO value in pure pertalite fuel is 7.79% and the lowest CO value is in the 30% Bioethanol mixture, namely with a CO value of 0.27%. The highest HC value in pure pertalite fuel is 7.31 ppm and the HC value the lowest was in the 10% Bioethanol mixture, namely 1.52 ppm. The highest CO2 value was in the 30% Bioethanol mixture, namely 9.00% and the lowest CO2 value was in the 10% Bioethanol mixture, namely with a CO2 value of 2.30%. Furthermore, the highest O2 value was in the 30% Bioethanol mixture, namely 14.46% and the lowest O2 value was in the 10% Bioethanol mixture, namely with an O2 value of 3.46%.

EVALUASI SISTEM PENGAMANAN BERDASARKAN NILAI ROCK MASS RATING (RMR) PADA TEROWONG PENGAMBILAN BENDUNGAN DI LOMBOK BARAT, NUSA TENGGARA BARAT

Nabila Rizky Anggraeni — 2024-11-23

The construction of the dam in West Lombok is one of the National Projects of the Ministry of Public Works and Public Housing (Kemen PUPR) located in West Nusa Tenggara. The tunnel excavation process for this dam entails blasting and digging, which could potentially disrupt the stability of the surrounding area and lead to rock mass movement, including rock falls. The aim of this study is to analyze the quality of the rock mass related to the design of the support system in the tunnel segments. The results of this study show that the tunnel segment STA 0+290.704 - 292.804 exhibits good rock mass quality (RMR 61-80), where, based on the support recommendations (Bieniawski, 1989), the use of rock bolts on the roof with a length of 3m, spacing of 2.5m, and combined with wire mesh, is advised. Additionally, shotcrete with a thickness of 50mm should be applied to the roof. For the segments STA 0+285.309 - 288.104, STA 0+288.104 - 290.704, STA 0+416.068 - 414.864, and STA 0+417.134 - 416.068, which exhibit fair rock mass quality (RMR 41-60), the recommended support system (Bieniawski, 1989) includes the use of rock bolts on both the walls and roof with a length of 4m, spacing of 1.5–2m, combined with wiremesh, and shotcrete application with thicknesses of 50-100mm on the roof and 100 mm on the walls. For the segment STA 0+420.144 - 417.134, which has poor rock mass quality (RMR 21-40), the support system recommendations (Bieniawski, 1989) suggest using rock bolts on both the walls and roof with a length of 4m, spacing of 1.5–2m, combined with wiremesh, and shotcrete with a thickness of 100-150mm on the roof and 100mm on the walls. Additionally, the installation of steel ribs/steel sets is recommended.

ANALISIS SEBARAN BATUPASIR KARBONATAN BERDASARKAN KENAMPAKAN GEOMORFOLOGI DAERAH WAY SABU, PESAWARAN, LAMPUNG

Aida Rafiqah — 2024-11-23

The Menanga Formation is part of the Woyla terrane which is the last large plain that formed the island of Sumatra. Woyla terrane rocks are affiliated with the Cretaceous volcanic arc and there has been relatively little research on this formation in the Lampung area and its surroundings. This study aims to determine the Carboniferous Sandstone in the Pesawaran area, Lampung. The research process begins with identification through interpretation based on field appearances obtained through direct observation at several strategic points, and supporting data is obtained based on data collection from the research area. the results of the analysis with field conditions are classified into two categories, namely, the Way Sabu structural elongated hills and the Way Sabu structural plains. The results of observations on the Carboniferous Sandstone lithology in the research area were found to be in geomorphological conditions with the category of Way Sabu structural elongated hills, this geomorphological unit has a morphography with a V Valley shape.

ANALISIS SIFAT OPTIS LAVA BASALT DAERAH KARANGKULON DAN SEKITARNYA KECAMATAN TEGALREJO KABUPATEN MAGELANG PROVINSI JAWA TENGAH

Eben Patriot Maury — 2024-11-23

This study was conducted in the Karangkulon area and its surroundings, Tegalrejo District, Magelang Regency,

Central Java Province, with coordinates 07°30'00" - 07°25'00" S and 110°15'00" - 110°20'30" E. The location was chosen due to the comprehensive exposure of basalt lava, which facilitates sample collection and analysis. This research aims to determine the mineral composition and identify and compare the types of minerals in basalt lava through petrological analysis. The methods employed include surface geological mapping through direct observation, supported by laboratory analysis and literature review. Laboratory analysis of three basalt lava samples revealed mineral structure and size variations. Sample 1 cooled rapidly and exhibited a scoria structure with small crystals. Sample 2 showed a vesicular structure and more uniform crystallization, while Sample 3 displayed larger crystals with an intergranular texture. These findings indicate different formation times among the three samples. Mineral composition analysis suggests a complex formation process at the study site, including rapid plagioclase crystallization during basaltic magma cooling. Magma differentiation separates minerals based on temperature and their mineral content. The presence of pyroxene and olivine indicates high temperature and pressure conditions during formation. The groundmass containing quartz microlites, feldspar, and volcanic glass shows rapid post-eruptive cooling, forming microcrystalline and amorphous structures in the basalt rock.

KARAKTERISTIK GEOMORFOLOGI DAN HUBUNGANNYA DENGAN SEBARAN LITOLOGI DAERAH WAY LAGA DAN SEKITARNYA, KOTA BANDAR LAMPUNG, PROVINSI LAMPUNG

Daniel Owen Sinaga — 2024-11-23

The study of the shape of the earth's surface appearance as evidence of geological processes that occur in an area, or geomorphology, often expresses the characteristics and distribution of the lithology of the constituent rocks. The aims and objectives of this study were to determine the geomorphologic characteristics and their relationship with the distribution of constituent lithologies in the Way Laga area and its surroundings, Bandar Lampung City, Lampung Province. The research was conducted using DEM SRTM data and compilation with geological maps from previous studies which were then processed in Global Mapper and ArcGis software. Geomorphological characteristics were analyzed by approaching geomorphological aspects such as morphography (landform and drainage pattern), morphometry (slope), and morphogenetics (endogenous and exogenous). The landscape/geomorphology formed in the study area is influenced by the characteristics of its constituent lithology. The study area has geomorphological characteristics that can be grouped into 3 units, namely the Moderately Steep - Very Steep Structural Hills Geomorphology Unit with volcanic rock lithology, namely tuff and some clays, the Sloping - Moderately Steep Hills Geomorphology Unit with schismic lithology, the Structural Plain Geomorphology Unit with tuff lithology.

KARAKTERISTIK GRANIT DI GIRIHARJO, LAMPUNG SELATAN

Elpani Br Ginting — 2024-11-23

This study aims to identify the characteristics of granitoids in Giriharjo, Lampung Selatan, which formed due to crust thickening from the collision between the Woyla volcanic arc and the western Sumatra terrain. The primary focus is on Granodiorite Sulan (Kgdsn), which has received limited research attention. The methodology employed is descriptive-analytical, involving field observations and laboratory analyses using petrographic microscopes. Four granodiorite samples were collected from an area of 9 km². The results indicate two types of granitoid rocks: Tonalite and Granodiorite, with variations in mineral composition and texture. Granodiorite is characterized by a grayish-white color and a massive structure, while Tonalite is predominantly composed of plagioclase. Microscopic analysis reveals suture and intergrowth textures that indicate the influence of plastic deformation. This research contributes significantly to the understanding of Sumatra's geology and the potential for mineral resource exploration in the future. By addressing gaps in knowledge regarding the petrological characteristics and tectonic processes that shaped Granodiorite Sulan, this study hopes to enhance the understanding of magmatic and tectonic processes in this region, providing valuable insights for future geological explorations.

KARAKTERISTIK BASAL DAERAH TANJUNG AGUNG

Learning Halawa — 2024-11-23

Research on crystalline rocks in Lampung has been carried out by various researchers, but this research still does not cover other areas, such as Tanjung Agung village, Katibung District, South Lampung. Therefore, this research aims to analyze the characteristics of basalt rocks in the Tanjung Agung area, South Lampung, which is important for expanding understanding of the geological diversity in the region. These rocks are found in the form of entablature-type columns formed from basalt lava flows. The methods used include literature studies, field observations, and laboratory analysis, especially petrographic analysis, to identify mineral content and rock structure to understand the crystallization process and formation of columnar joints. The results of the petrographic analysis show a porphyritic texture with plagioclase, pyroxene, and hornblende phenocrysts, as well as a finer groundmass. These rocks show gradual crystallization and textural variations such as trachytic, sieve, glomeroporphyritic, and zoning, which reflect processes of decompression, pressure reduction, and magma mixing. Based on the mineral composition, this rock is classified as basalt which undergoes a gradual crystallization process, namely the formation of large crystals (phenocrysts) at depth and the formation of a finer groundmass at the surface. This research also opens up opportunities for geochemical analysis to understand the origin and evolution of magma in the region. Thus, this research provides further insight into the dynamics of magmatism and rock formation in the Tanjung Agung area.

ANALISIS PALEOEKOLOGI BERDASARKAN FOSIL FORAMINIFERA BENTONIK PADA FORMASI KEREK DI DAERAH WONOSEGORO, DAN SEKITARNYA, KECAMATAN WONOSEGORO, KABUPATEN BOYOLALI, PROVINSI JAWA TENGAH

Prita Hanani — 2024-11-23

The Kerek Formation at the research site is generally composed of two rock units, interbedded carbonate sandstone and carbonate mudstone Kerek (a) and interbedded carbonate sandstone and carbonate siltstone (b) indicating that the location of the deposition is a marine environment, so it is an ideal location for paleoecological analysis. Benthonic foraminifera is a type of foraminifera that lives by mooring itself using vagile or sesile and lives on the seabed at a certain depth. Paleoecology is an ancient ecological constance or a description of ecological conditions (sedimentary environment, salinity and temperature) in the past. The location of data collection was carried out at five points (Observation Locations) located in the Wonosegoro. The research site consists, interbedded carbonate sandstone and carbonate mudstone Kerek (LP 32, LP 52, LP 71) and interbedded carbonate sandstone and carbonate siltstone (LP 15 and LP 143) which represent the top-middle and battom areas of the two rock units that make up the Kerek Formation. In the paleobatimetry analysis, it was obtained that at the five points of the research location there was a bathymetric zone in the form of an inner bathyal (Tipsword, et al. 1966). Paleosalinity based on classification according to Boltovskoy (1991) and Murray (1989; 1991) is in a salinity condition that changes five times, starting from high salinity / hypersaline (>40%) and ending with medium salinity (32-40%). Meanwhile, the paleotemperature condition based on the temperature characteristic genus according to Ujetz (1996), there are 6 temperature changes with the initial phase of medium temperature (10 – 20 C), in the middle phase there is a change to cold (<10) and closed with the final phase of medium temperature.

ANALISIS KOMPREHENSIF KARAKTERISTIK GEOLOGI DAN GEOKIMIA MINERALISASI PORFIRI CU-AU DI PRIGI, JAWA TIMUR

Augie Arisna Firmansyah — 2024-11-23

This research focuses on understanding porphyry Cu-Au deposits in the Oligocene-Miocene Sunda-Banda magmatic arc, specifically in Prigi Village, Watulimo District, Trenggalek Regency, East Java. The region, located on an ancient volcanic circular structure within this metallogenically significant arc, holds potential for porphyry Cu-Au deposits. The study uses surface geological mapping, laboratory analyses (petrography, mineragraphy, AAS), and report preparation. Alteration in the area is classified into five zones based on mineral associations: propylitic (chlorite-epidote±carbonate), potassic (magnetite-biotite-sericite±chlorite), SCC (sericite-clay-chlorite-magnetite), phyllic (sericite-illite±pyrite-quartz), and argillic (illite-smectite±quartz). Ore minerals include sulfides like chalcopyrite, bornite, covellite, chalcocite, magnetite, pyrite, and gold, and oxides such as malachite, hematite, goethite, and jarosite. AAS analysis shows copper content of 0.09% and 0.02%, and gold content of 0.9 ppm and 0.04 ppm in samples LP 93 A and 94, respectively. The study area also features porphyry stockwork veins, classified as type A (granular quartz±pyrite-chalcopyrite), type M (quartz-magnetite±chalcopyrite), type B (comb quartz-centerline chalcopyrite-bornite-pyrite), type C (chalcopyrite±quartz), and type D (pyrite-quartz). The porphyry deposits experienced three stages of alteration and mineralization: early mineralization with diorite intrusion and prograde alteration, intermineral phase with porphyritic andesite intrusion, and a late retrograde alteration phase linked to the final intrusion.

KARAKTERISTIK ALTERASI -MINERALISASI ENDAPAN EPITERMAL SULFIDASI TINGGI DAERAH KARANGGANDU DAN SEKITARNYA, KECAMATAN WATULIMO, KABUPATEN TRENGGALEK

Ahmad Zaki Zakaria — 2024-11-23

The research location is located in the Karanggandu area and its surroundings, Watulimo subdistrict, Trenggalek Regency, with an area of 4 x 4 at coordinates 8º17’45’’ South Latitude - 8º20’0’’ South Latitude and 111º41’0’’East Longitude - 111º43’0’’ East Longitude. The aim of this research is to identify geological conditions and characteristics of alteration and mineralization in the research area. The methods used in this research are field mapping (geomorphology, geology, hydrothermal alteration), petrography, mineralography, X-ray diffraction (XRD), and atomic absorption spectrophotometers (AAS). Based on the results of the analysis, it was identified into 3 geological units, namely the andesite lava unit, andesite intrusion unit, and dacite intrusion unit with five alteration zoning zones with the help of the X-Ray Diffraction (XRD) analysis method in the research area, namely, vuggy quartz alteration zone, alteration zone advanced argillic (quartz + alunite + diaspor + pyrophyllite), intermediate argillic alteration zone (quartz + illite + kaolinite ± pyrite - chalcopyrite), argillic alteration zone (illite + kaolinite + quartz ± pyrite), and propylitic alteration zone (chlorite ± epidote + quartz ± pyrite). This alteration zone falls into the type of high sulfidation epithermal deposit with characteristic features of overprinting porphyry and vuggy quartz. Based on the mineralization pattern that develops from mineragraphic observations, it shows a special texture in the form of a disseminated texture in the sulfide minerals pyrite and chalcopyrite, an intergrowth/simultaneous texture, and a replacement texture in the covellite, bornite, pyrite, and chalcopyrite minerals replaced by oxide minerals such as hematite, goethite, and jarosite, which characterize the zone change from the hypogene zone to the supergene zone. In the geochemical analysis of the ore using the Atomic Absorption Spectrophotometry/AAS method on 2 samples LP 95 and LP 93, the Au element content value was 1148 (ppb) and 146 (ppb), the Ag element was 6 (ppm) in both samples, and for the element Cu, it was 140 (ppm) and 215 (ppm).

IDENTIFIKASI FOSIL FORAMINIFERA BESAR DI BATUPASIR EKUIVALEN ANGGOTA GREBE, FORMASI JOHNSTON, RAIJUA

Rivay S Lumbantobing — 2024-11-23

Raijua Island is an island formed by accretion of the Australian Passive Margin sequence that collided with the Banda Arc. The lithology in this study area is generally sedimentary complexes such as sandstone, siltstone, claystone, limestone, conglomerate and tuff. The scope of this research study focuses on identifying the characteristics of fossils in sandstones at Bukit Wata Dagi, Raijua Island, East Nusa Tenggara to determine the relative age and depositional environment. The methods used in this analysis are statigraphic cross section and petrographic analysis. Microscopically, this rock is a type of Allochemic sandstone (Mount, 1985). There are 7 types of Large Bentic Foram fossil species namely Discocyclina.sp, Nummulites, Opercunella, Operculina, Heterostegina.sp, Eulepydina.sp, Alveolina.sp and Spiroclypeus. Based on the analysis that has been done, the sandstones in Bukit Wata Dagi are Paleocene - Eocene in age (Adam, 1970). These sandstones were deposited in a shoreline environment, which is closely related to the shallow marine environment - offshore transition. The sandstones in Bukit Wata Dagi are equivalent to the Jhonston Formation, Australia in terms of age characteristics and the same depositional environment.

FASIES DAN LINGKUNGAN PENGENDAPAN FORMASI GADING DI RANTAUTIJANG, PUGUNG, TANGGAMUS

Pidelia Hartanti Tinambunan — 2024-11-23

Lampung area has a basin, namely the Lampung Intermountain Basin which has the potential as a hydrocarbon system (Amin et al., 1994). The composition of the basin consists of various types of sedimentary rocks formed through sedimentation processes in different environments (Pettijohn et al., 1987). There is a group of sedimentary rocks exposed in the Bukit Barisan Strip, namely the Gading Formation (Amin et al., 1994). The Gading Formation has the same characteristics as the Talang Akar Formation which is used as a hydrocarbon reserve. In the Gading Formation there is sandstone lithology that has the potential as a reservoir rock. Analysis of Facies Association and depositional environment is an important part of oil and gas exploration, to provide information on the distribution and geological characteristics of oil and gas reserves in an area. Walker and James (1992) explained that facies is a rock body with several specific characteristics or characteristics that can be determined from lithology, biological structure, and sedimentary structure that show different facies aspects from other rock bodies, whether below, above, or around it. Facies association is a combination of two or more facies that form a rock body with a certain size. The research is located in the Rantautijang area, Pugung District, Tanggamus Regency, Lampung Province. The research uses a megascopic texture and lithology structure analysis method and stratigraphic cross-section measurements with a facies analysis approach, facies associations and determination of depositional environments. Stratigraphic cross-section measurements were carried out on the Gading Formation on the banks of the Way Tebu River. From the results of the research that has been carried out, namely the Facies in the Gading Formation are fine sandstone, conglomerate, medium sandstone, silt with a laminated structure, clay with a laminated structure, lensed shale, sandstone with a load cast structure. The channel fill facies association is composed of fine sandstone facies, conglomerate, medium sandstone and sandstone with a load cast structure. The floodplain facies association consists of laminated silt facies, laminated clay and lensed shale. The depositional environment is fluvial because it consists of fine and coarse material that is deposited.

GEOLOGI DAERAH CIMINCUL DAN SEKITARNYA, KECAMATAN KASOMALANG, KABUPATEN SUBANG, PROVINSI JAWA BARAT

Dicky Falahuddin — 2024-11-23

This research aims to analyze geomorphology, stratigraphy, and geological structure in Pasanggrahan Village and its surroundings, Kasomalang Sub-district, Subang Regency, West Java. This is to determine the main control of the abundant spring water in the study area. The research methods used include literature study, study and making pre-mapping maps, field data collection, and data analysis and processing. The results showed that the research area consists of two geomorphological units, namely the Steep Volcanic Hills Unit and the Slightly Inclined Volcanic Wavy Plain Unit. The stratigraphic arrangement of the study area consists of four rock units, namely Lahar Breccia Inserted in Tuff Sand, Tuff Sand, Crystal Tuff, and Andesite Lava. The geological structure of the study area consists of primary structures in the form of twin and vesicular braces, and secondary structures indicated by horizontal faults based on the analysis of alignment patterns and spring manifestations. The geological history of the study area is influenced by the subduction of the Indo-Australian plate under the Eurasian plate, which caused volcanic activity and the formation of volcanic arcs. Rock formations in the study area were formed from volcanic activity during the Tertiary to Holocene-Recent periods, with contributions from volcanoes such as G. Tangkubanparahu and G. Tampomas.

ANALISIS KETERDAPATAN AIR TANAH DENGAN METODE GEOLISTRIK KONFIGURASI SCHLUMBERGER DI DAERAH BENDOWO DAN SEKITARNYA, KECAMATAN MANYARAN, KABUPATEN WONOGIRI, PROVINSI JAWA TENGAH

Yohanes Kristantyo — 2024-11-23

Penelitian ini dilakukan di Daerah Bendowo, Kecamatan Manyaran, Kabupaten Wonogiri, Provinsi Jawa Tengah dengan koordinat 7°48’30” - 7°53’30” LS dan 110°45’00” - 110°50’00” BT. Air tanah memiliki peranan yang penting bagi manusia mulai dari pemenuhan kebutuhan rumah tangga, irigasi hingga sektor industri. Kebutuhan ini tentu akan meningkat seiring dengan meningkatnya jumlah penduduk. Sebagai usaha dalam pemenuhan kebutuhan sumber daya air khususnya di Daerah Bendowo perlu dilakukan analisis menggunakan metode geolistrik dengan tujuan mendapatkan potensi air tanah, dengan mengetahui potensi air tanah dapat dilakukan pemanfaatan sumber daya air secara optimal tanpa menimbulkan kerugian.. Penelitian ini bertujuan untuk mengetahui keterdapatan air tanah di Daerah Bendowo Kecamatan Manyaran Kabupaten Wonogiri Provinsi Jawa Tengah. Metode yang digunakan adalah pemetaan geologi permukaan melalui observasi langsung, didukung oleh analisis studio dan literatur. Berdasarkan hasil analisis nilai resistivitas batuan yang dilakukan pada daerah penelitian, dari 11 titik pengukuran di jumpai 3 titik yang terdapat air tanah. Titik-titik tersebut yaitu: GL 1 dengan keterdapatan air tanah pada kedalaman 33,77-50 meter, Titik GL 8 dengan keterdapatan air tanah pada kedalaman 56,30-84 meter, dan titik GL 9 dengan keterdapatan air tanah pada kedalama 28,51-42,5 meter. Selain ketiga titik tersebut tidak dijumpai adanya air tanah berdasarkan nilai resistivitas batuan.

ANALISIS FAKTOR-FAKTOR PENGARUH KEPUASAN MAHASISWA TERHADAP SARANA DAN PRASARANA LABORATORIUM DI INSTITUSI XYZ

Kartinasari Ayuhikmatin Sekarjati — 2024-11-23

XYZ Institution has the responsibility to provide facilities and infrastructure in the student learning process. The provision of these facilities and infrastructure is in the form of supporting facilities for the theoretical learning process and supporting facilities for the practical learning process. Learning facilities and infrastructure are one of the facilities to shape student success in meeting the Graduate Learning Outcomes (CPL) for each Course. However, this does not yet know student satisfaction in the use of learning facilities and infrastructure, especially supporting facilities for Practical Courses. In XYZ Institution, there is competition for accepting new students, both in State and Private Educational Institutions. One of the roles in the promotion of XYZ Institution is students. In analyzing these factors, the servqual method and importance performance analysis (IPA) were used. The results obtained were a gap value of -0.49668. This negative value indicates that respondents are not satisfied with the laboratory facilities and infrastructure of XYZ Institution. The influential attributes are the punctuality and operational hours of the laboratory, the implementation of practice in increasing understanding, the attitude and behavior of laboratory assistants and always accompanying during practicums, the implementation of practice in increasing understanding of theory and skills, laboratory assistants and assistants always provide assistance during practicums, administrative services, the value obtained is in accordance with what is done, students understand and comprehend the assistant's explanation, the ability to provide motivation for interest in learning, the existence of a practicum module and clarity of the material.

PERBAIKAN KUALITAS NEPS SLIVER RAYON PADA PROSES CARDING DENGAN METODE DMAIC

Hamdan S. Bintang — 2024-11-23

High levels of neps are a critical problem in the carding process in the spinning industry because they will affect the quality of the sliver. The purpose of writing this paper is to reduce the level of neps from 6 neps/gram to 4 neps/gram according to company standards with the DMAIC (Define, Measure, Analyze, Improve and Control) method. The implementation of the DMAIC method in the textile and clothing industry is a successful strategy to reduce defects generated along the production line. At the defined stage using the Pareto diagram found the highest type of neps defect in the daily quality check of sliver carding. Cause and effect analysis with a fishbone diagram illustrates that the critical cause is the neglect of machine cleanliness according to the applicable Standard Operational Procedures. After making improvements with the DMAIC method, the neps level decreased from 6 neps/gram to 3 neps/gram, exceeding the standards set by the company. Although the results show a significant decrease in the number of neps, there is a small variation in weekly results that may be caused by environmental factors or variations in the production process that are not fully controlled. Further research is needed to understand these factors and control them more effectively. The results of this study indicate that the DMAIC method not only helps in identifying problems but also in implementing effective solutions. This study contributes to the theoretical benefits of DMAIC in process improvement and practically in the textile industry.

PENGARUH VARIASI TEMPERATUR HOLDING TIME TERHADAP KEKERASAN DAN BEBAN IMPAK BAJA AISI 1045 DENGAN MEDIA PENDINGIN OIL

Novta Sukma Cahya Ramadhan — 2024-11-23

Hardening is one method to increase the hardness of a material with the aim of making the material resistant to friction and not easily broken. The hardening process will be optimal if the temperature and cooling media used are considered. This research is experimental using AISI 1045 steel specimens with a length of 55 mm, a width of 10 mm, and a thickness of 10 mm. The number of specimens tested was 10 specimens. The specimens were given heat treatment (hardening) with temperature variations of 800°C, 850°C, and 900°C with a holding time of 30 minutes, followed by rapid cooling using oil media. After that, the hardness of the specimen was measured using the Rockwell Cone Hardness (HRC) test and the Charpy impact test. The results showed that at a temperature of 800°C, the average hardness value was 56 HRC, and the energy absorbed was 21,890 J. At a temperature of 850°C, the average hardness value decreased to 51.6 HRC with an absorbed energy of 30,894 J, while at a temperature of 900°C, the average hardness value becomes 45.6 HRC with an absorption energy of 32,719 J. In conclusion, there is a significant effect of the variation in hardening temperature on the hardness and impact value of AISI 1045 steel with oil cooling media. Increasing temperature correlates with a decrease in hardness value and, conversely, correlates with an increase in absorption energy and impact value of AISI 1045 steel

ANALISIS EFISIENSI BOILER BERBAHAN BAKAR AMPAS TEBU DENGAN METODE LANGSUNG

Krisna Putra Mahendra — 2024-11-23

In the White Crystal Sugar processing industry from sugar cane plants, the boiler is the main station in the steam production process. The steam produced by the boiler is used for the sugar making process and also as a turbine driver for power plants. In the steam production process, PT GMM-BULOG Blora utilizes dregs from the sugar cane milking process or called bagasse to be used as boiler fuel. So the boiler is called Bagasse Boiler. In this study, an analysis of the efficiency of the PT GMM-BULOG Blora bagasse boiler was carried out to determine the actual performance of the bagasse boiler during operation during the 2024 sugar cane grinding season. The method used for this analysis is Direct Method Efficiency. In this direct method, the analysis is carried out by directly comparing the energy produced by the boiler with the amount of energy required for the combustion process. With the direct method, this study collected data including: steam capacity, steam temperature, feed water pressure, feed water temperature, amount of fuel, and fuel calorific value. From this study, the results of the analysis of the efficiency of the PT GMM-BULOG Blora bagasse boiler using the direct method were 61.1%, with an average consumption of bagasse fuel of 15.02 tons/hour, and an average steam production of 45.9 tons/hour. These results indicate that the bagasse boiler is working inefficiently because the standard efficiency of the bagasse boiler based on the boiler specifications from the manufacturer is 84.6% with the amount of steam produced being 60 tons/hour.

ANALISIS REGRESI DAN KORELASI PENDIDIKAN AGAMA DAN KEWARGANEGARAAN DENGAN KARAKTER MAHASISWA UNIVERSITAS AKPRIND INDONESIA

Untung Joko Basuki — 2024-11-23

Religion and Citizenship Education (RCE) courses are an integral part of the higher education curriculum in Indonesia. These two courses have an important role in forming the character and personality of students who are oriented towards moral values and loyalty to the country. This research aims to explore the relationship between Religion and Citizenship courses in Higher Education and students' moral character as measured by the variables of honesty, loyalty and respect. This research uses quantitative methods using multiple regression and correlation analysis models. The operational variables taken are the value of religion and citizenship courses as the independent variable and the value of moral character as the response variable. The data sample was taken from 100 students at Akprind University Indonesia. Data processing uses the R statistical package. This study shows that there is a close correlation between the variables religious education and RCE on moral character, with a correlation value between Religion and Citizenship with the moral character of honesty of 0.4305, the character of loyalty of 0.4438 and the character of respect. of 0.5615. In separate independent variable tests, it was also proven to have a significant effect on the three response variables.

ANALISIS PENGENDALIAN BAHAN BAKU TERHADAP JUMLAH PERMINTAAN MENGGUNAKAN METODE MATERIAL REQUIREMENT PLANNING PADA PT KILANG PERTAMINA INTERNASIONAL (KPI) RU V BALIKPAPAN

Davin Satria Nugraha — 2024-11-23

PT Kilang Pertamina International (KPI) Refinery Unit V Balikpapan actively meets the needs of oil and gas in Indonesia, with a capacity of 260 mbsd, upgraded to 360 mbsd, requiring proper production planning and raw material availability. The Refinery Business & Optimization (RBO) department is responsible for planning, managing operations, and controlling feedstock inventory. Crude oil availability is key to successful production. Research shows the importance of inventory control for operational efficiency. The Material Requirement Planning (MRP) method systematically plans material requirements, helping reduce the risk of shortages or excess raw materials. In analyzing with MRP, three perspectives are used: Economic Order Quantity, Lot for Lot, and Period Order Quantity, where the minimum total inventory cost and setup cost will be sought as a basis for decision-making in controlling raw materials. The results of the data analysis show forecasting calculations to predict the minimum crude oil demand in 2024, based on actual monthly data in 2023. The Moving Average-4 method produces an estimated demand of 7,776,131 barrels per period, with a total procurement of 93,313,584 barrels for 2024. Data processing is continued with the MRP method using Economic Order Quantity (EOQ), Lot For Lot (LFL), and Period Order Quantity (POQ). The ordering results show that the initial stock is 3,948,093.67 barrels, and the EOQ calculation results in a total procurement cost of $6,697,177.70. Meanwhile, the LFL method resulted in a cost of $6,634,913.42. With POQ, the optimal cost obtained is $6,363,031.38. Of the three methods, POQ was chosen as the planning method for crude oil procurement in 2024.

ANALISIS KINERJA MESIN AIR JET LOOM PICANOL PAT-A DI PT Z MENGGUNAKAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE)

Hefni Rosyadi — 2024-11-23

PT Z produces gray fabric using the Picanol PAT-A Air Jet Loom. In May 2023, the company's efficiency declined, producing 56,432 meters of gray cloth, 73,15% efficiency, and a total grade C of 0,89%. The results fell short of the company's target of 67,800 meters with an 85% minimum efficiency of 85% and a 2% maximum grade C target. To address the low efficiency, research was conducted in June 2023 using overall equipment effectiveness (OEE) and six big loss analyses to identify improvement areas. The research method involves direct field observation of the machine monitor and literature study. It begins by measuring machine effectiveness using the OEE method, which includes calculating availability, performance efficiency, and product quality rates, and assessing the six big losses. The average OEE value is 67,28%, below the JIPM standard of >85%. Analysis of six big losses shows reduced speed losses at 39,14, idling and minor stoppage losses at 32, 18%, breakdown losses at 16,61%, and setup and adjustment losses at 11,16%. 16% yield loss at 0,92% and rework losses at 0%. Reduced speed losses are the main factor causing losses due to low engine operational speed below the ideal. Based on a fishbone diagram analysis, the main factor of reduced speed losses is the machine factor, namely the age of the machine 32 years, continuous use, worn machine parts, and difficult to find on the market. To enhance efficiency with modifying spare parts, re-establish a replacement schedule, and document all machine damage events.

ANALISIS BREAK EVENT POINT (BEP) DAN ADDED VALUE PADA USAHA PETERNAKAN BEBEK PEDAGING DI DESA PLOSOWANGI KECAMATAN CAWAS KLATEN

Joko Susetyo — 2024-11-23

This study was conducted to calculate the Break Even Point (BEP) unit, production BEP, and added value in the meat duck farming industry in Plosowangi Village, Cawas District, Klaten Regency. The objective of this research is to assess the feasibility of developing duck farming. The research methods employed include R/C ratio, B/C ratio, Net Present Value (NPV), and BEP graphs. Data were collected through interviews and observations, and subsequently analyzed using descriptive analytical methods. The results indicate that the cost value for each harvest period is IDR 23,033,500. Calculations based on sales per kilogram show an R/C ratio of 1.33, a B/C ratio of 0.339, NPV of IDR 6,697,900, with a production BEP of 822.65 kg and a price per unit BEP of IDR 29,480.99. Based on unit sales, the R/C ratio value is 1.15, B/C ratio is 0.153, NPV is IDR 2,753,940, production BEP is 677.45 units, and price BEP is IDR 29,480.99. The potential added value can be realized by selling the product as processed duck meat directly to consumers, which could increase the profit ratio by 0.6%. It can be concluded that by selling per kilogram, farmers can maximize their profits, indicating that meat duck farming is feasible for continuation and development.

Key words: Broiler Duck, R/C ratio, B/C ratio, Break Even Point, Added Value

PENDEKATAN CONCURRENT ENGINEERING GUNA MENGEMBANGKAN PRODUK JAM DINDING DENGAN METODE QUALITY FUNCTION DEPLOYMENT

Cyrilla Indri Parwati — 2024-11-23

UMKM MAQ is a home industry that produces handicraft products from resin and wood waste located in the Playen Gunungkidul area. In recent months, sales of wall clock products have decreased, only being able to sell 6-9 products compared to previously being able to sell an average of 25 wall clock products per month. This problem is likely to occur because consumers are starting to become bored with previous wall clock models, the unavailability of other models, and the decreasing competitiveness of these products, so it is necessary to develop new wall clock models by considering consumer satisfaction so that MAQ is able to increase the number of wall clock sales again. The aim of the research is to develop wall clock products using the Quality Function Deployment (QFD) and Concurrent Engineering (CE) methods. Both methods are used to identify consumer needs that are linked to process needs. The product process needs with the highest contribution value indicate that these process needs are the focus of development for new wall clock product designs, while the consumer needs attributes with the highest value are things that must be improved to overcome existing problems. The results of the approach using both methods show that the process needed with the highest value is the provision of a new design with a normalized contribution value of 36%, while of the six consumer needs attributes that obtain a contribution value is the response to variations in other sizes with a value of 1.6083.

DAMPAK PENGGUNAAN HEAD-MOUNTED DISPLAYS TERHADAP POSTUR DAN AKTIVITAS OTOT: SEBUAH TINJAUAN PUSTAKA

Dewa Ngurah Mahaswara Putera — 2024-11-23

The use of Head-Mounted Displays (HMDs) has rapidly expanded across various sectors, including entertainment, education, healthcare, and training. HMDs provide real-world simulations that enhance learning processes, surgical simulations, and doctor training, and are effective for industrial training. However, the use of these devices can negatively impact posture and muscle activity, posing a risk of increased muscle strain and injury to the musculoskeletal system. This study aims to evaluate the effects of HMD use on posture and muscle activity by analyzing articles published between January 2019 until September 2024. Through the PRISMA method, 15 final articles from Scopus database were analyzed, including aspects of HMDs, physical characteristics, experimental characteristics, and impact of use on posture and muscle activity. The results indicate that the use of non-ergonomically designed HMDs can increase muscle strain in the neck, back, and eyes, as well as affect body posture. Several factors influencing this impact include headset weight, visual effects, field of view, and user body movement. The analysis showed that lighter and ergonomically designed headsets can reduce the risk of musculoskeletal injuries and improve user comfort. Visual effects and field of view of HMDs also play a key role in reducing muscle strain, especially through visual feedback and postural interaction with an optimal field of view. Ergonomic adjustments, such as user body movement, can help alleviate discomfort and reduce injury risk. This study’s findings provide recommendations for developers to consider ergonomic factors in HMDs design in VR or AR to create safe and comfortable user experiences.

PENGARUH HARGA, KUALITAS PELAYANAN DAN PROMOSI TERHADAP KEPUASAN PELANGGAN PADA J&T EXPRESS SLM 09 SETURAN CABANG YOGYAKARTA

Muhammad Nur Nasution — 2024-11-23

The shift in consumer behavior for online shopping and consumer expectations for delivery speed have increased competition in shipping services. J&T Express SLM 09 Seturan, Yogyakarta, faces challenges related to customer satisfaction, as seen from the 3.3 star rating on Google Review, which is lower than other branches. If this continues, it will certainly have a negative impact on the continuation of the business. This study aims to test the effect of price, service quality, and promotion on customer satisfaction at J&T EXPRESS SLM 09 Seturan, Yogyakarta branch. The questionnaire was filled out using Google Forms with the target respondents being people who had used the J&T EXPRESS SLM 09 Seturan, Yogyakarta. The number of respondents was 97 people whose data was then processed using SPSS Software. The results of this study indicate that price does not have a significant effect on customer satisfaction, while service quality and promotion have a significant effect on customer satisfaction. J&T EXPRESS SLM 09 Seturan needs to improve employee competence, improve systems, and strengthen promotions through targeted campaigns and loyalty programs to increase customer satisfaction.

PENGARUH KELAS LIPATAN JAHITAN (SEAM) TERHADAP PEMAKAIAN BENANG POLYESTER SPUN 40/2 PADA MATERIAL KAIN TENUN ANYAMAN KEPER GRAMASI 200-220 g/m2

Dinarisni Purwanningrum — 2024-12-23

Seam or seam folds, is one of the variables that affect the consumption of thread usage in the clothing production process. ISO 4916:1982 classifies seam folds into 8 classes, namely from class 1 to class 8. At the Surakarta Textile and Textile Product Industry Community Academy, the implementation of the clothing production process is carried out during practical courses, and one of the outputs is a student uniform with woven fabric material using a keper woven construction with a grammage of 200-220 g / m2, using polyester spun yarn 40/2 sewing thread. The research methodology was carried out by measuring thread consumption in 8 seam classes, then the measurement data was processed using statistical tests in the form of normality tests and one-way ANOVA. The result is a normally distributed experiment with data from each seam class being homogeneous, and the results of the average analysis show that between one seam class and another, there is no significant effect on thread usage. The study results of the sample length with the average thread length show that the minimum thread usage requirement for each seam class is twice the length of the sample.

PENGARUH MASSA ABSORBER KOH DAN MASSA KATALIS ZEOLIT ALAM TERHADAP PRODUK PIROLISIS TANDAN KOSONG KELAPA SAWIT DENGAN REAKTOR MICROWAVE

Bayu Megaprastio — 2024-11-23

This research aims to explore the effects of varying the mass of the KOH absorber and natural zeolite catalyst on the pyrolysis yield of empty palm fruit bunches (EFB) using a microwave reactor. EFB was chosen as the feedstock due to its abundant availability and potential as a renewable energy source. The use of a microwave reactor enables faster heating of EFB and improved temperature control. The pyrolysis process was carried out with a configuration of two separate reactors: a microwave reactor to pyrolyze EFB with KOH as an absorber to absorb microwaves and convert them into heat, and a catalyst reactor with heating provided by an oven. The operating temperature for the microwave reactor was set at 450°C, and for the catalyst reactor at 400°C. The methodology involved varying the mass of KOH (0%, 50%, 100%) and zeolite (0%, 10%, 20%, 30%) to evaluate their effects on pyrolysis product distribution. The results showed that adding KOH as an absorber improved heating efficiency, with a higher KOH mass (100%) tending to increase gas production. The addition of zeolite also proved to enhance bio-oil yield, especially under conditions of 50% absorber and 30% zeolite, which achieved the highest yield of 34.8%. The optimal combination of KOH absorber and zeolite catalyst shows great potential in increasing bio-oil yield, thus supporting the use of EFB as a sustainable alternative energy source.

PENGARUH KETEGANGAN (TENSION) BENANG DAN KERAPATAN JAHITAN TERHADAP KERUTAN DAN KEKUATAN JAHITAN

Rita Istikowati — 2024-11-23

In the sewing process, thread tension is one of the key factor. It is important to adjust the thread tension correctly to achieve a balanced stitch and avoid defects such as skipped stitches, uneven stitch, or puckering. Stitch density (stich per inch) affect the quality of the stitch. In this study, an experiment was conducted to see the effect of upper thread tension, lower thread and stitch density on stitch strength and stitch quality, especially seen from puckering on a single needle lockstitch machine. Each factor was varied for 3 levels, there were 190mN, 220mN, 250mN for upper thread tension; 220mN, 270mN, and 320mN for lower thread tension and 9spi, 11spi, 13spi for stitch density. Experiments were carried out with all combinations and 3 times replication. The technical responses assessed were the pucker value and strength stitch. Only the upper thread tension (x1) affected the pucker and the stitch density (x3) affected the stitch strength. Combination of x1-1: Upper Thread Tension 190mN, x2-3: Lower Thread Tension 320 mN, x3-3: Stitch density 13 spi would produce best pucker value of 4.00 and best stitch strength of 348.67mN.

IDENTIFIKASI PRIORITAS DEFECT DENGAN MENGGUNAKAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) PADA FINAL DRIVE UNIT HD785-7 DI PT XYZ

Devi Apriyanti — 2024-11-23

This study aims to determine the priority order of improvements that the company must undertake to minimize defects in the remanufacturing results at PT XYZ, an industry engaged in remanufacturing and assembling heavy equipment components such as engines, transmissions, torque converters, power modules, final drives, and other components. In the remanufacturing process of the Final Drive unit HD785-7 from January to June 2024, 16 frequently occurring failure modes were identified through the completion of a Failure Mode and Effect Analysis (FMEA) questionnaire at PT XYZ. Based on the analysis results, the failure modes categorized as critical failures and prioritized for improvement include abnormal damaged threads with the highest Risk Priority Number (RPN) of 495.6, incorrect physical parts with an RPN of 384, worn-out hole threads with an RPN of 264, abnormal dents on the contact surface with an RPN of 251.1, and unevenly worn threads with an RPN of 204.4. From these five critical failure modes, a priority order for improvement has been established for the company to reduce defect risks in remanufacturing results. The proposed improvements are developed using a fishbone diagram to identify the main causes of critical failure modes, encompassing four main aspects: human, material, machine, and method. With this approach, the company is expected to implement more effective and targeted improvements addressing the root of the issues, thereby enhancing product reliability and reducing the risk of defects in the future.

ANALISIS PERBAIKAN TAKE UP MOTION PROCESS PADA MESIN TENUN AIR JET LOOM DENGAN METODE FMEA

Mohadi — 2024-11-23

Take up motion is a crucial problem in the loom section because one of the core motions of the machine process. There were 67 process failures on the take up motion for three months. The study aims to decrease process failure on the take up motion which impacts on production loss, i.e down time and defects by applying FMEA. After analyzing the flow process, 11 potential causes were found from 3 potential failure modes in the areas. The first priority with RPN value of 108 is the quality of the roll teeth gear is not up to standard. Improvement recommendation is replacing the lower roll gear from plastic material to steel to increase component lifetime and performance. The Second priority with RPN value of 105 is the operator accuracy in installing the fabric roll at the beginning of the process. Improvement recommendation is implementing double checking procedures with inspection by supervisor. The Second priority with RPN value of 105 is the operator accuracy in installing the fabric roll at the beginning of the process. Improvement recommendation is implementing double checking procedures with inspection by supervisor. The third priority with RPN value of 96 is improper lubrication. Improvement recommendation is replacing the oil lubricant with grease which is appropriate for the engine speed. This research can recommend an improvement on take up motion based on the proposed repairs or maintenance list, using the FMEA method to decrease the process failure loom machine in the weaving industry.

ANALISIS RISIKO DAN STRATEGI MITIGASI MENGGUNAKAN METODE HOUSE OF RISK (HOR) PADA INCOMING NEW PART AREA WAREHOUSE PT. XYZ

Dwi Kurniawan — 2024-11-23

Risk is an unavoidable part of human life, and it cannot be entirely eliminated. However, while risk cannot be removed, its likelihood can be reduced through risk management. PT XYZ, a company specializing in remanufacturing heavy equipment under the Komatsu brand, requires effective risk mapping to minimize potential losses for the company and its employees. This study implements the House of Risk (HOR) method to identify and manage risks in PT XYZ's warehouse, specifically in the incoming new part activities. The research aims to identify risk events and their causes (risk agents) and provide recommendations for mitigating significant risk factors. A total of 18 risk events and 19 risk agents were identified, with 10 proposed risk mitigation strategies. The primary risk factor identified is the large volume of incoming items at a single time. The suggested main mitigation strategy involves implementing a more rigorous scheduling system and coordinating delivery times to better manage incoming parts.

PENGAMBILAN KEPUTUSAN DENGAN MENGGUNAKAN METODE ANALYTIC NETWORK PROCESS PADA STUDI KASUS ANALISIS PEMILIHAN SUPPLIER TAHU TEMPE DI UMKM BILQIS CATERING

Hanifah Nur Fadhillah — 2024-11-23

Analytic Network Process (ANP) is a method used to measure relative priorities through the calculation of weights between interacting elements based on control criteria. UMKM Bilqis Catering is a business in the food industry that faces fierce competition and requires suppliers who are able to meet the needs of raw materials well, especially in the aspects of price, delivery time, and service quality. Choosing the right supplier is important to maintain and improve the company's productivity. Through ANP, this MSME can analyze and prioritize suppliers based on predetermined criteria, so that it is expected to provide accurate weights for each element in decision making. ANP allows a comprehensive assessment by considering the reciprocal relationship between existing elements. With the data that has been collected, ANP analysis is applied to compare several alternative tofu and tempeh suppliers that suit the needs of UMKM Bilqis Catering. The evaluation results show that Sumedang Super Tofu Supplier is the best choice in supplying the main raw materials for this MSME, according to the priority weights obtained through the predetermined criteria. By choosing Sumedang Super Tofu Supplier, it is expected that UMKM Bilqis Catering can improve its operational efficiency and competitiveness in the food industry.

PENGUKURAN GELEMBUNG MIKRO MENGGUNAKAN ALGORITMA HOUGH CIRCLE TRANSFORM

Dinda Salsabiila Padmakirana — 2024-11-23

An analysis of the Hough transform algorithm as a microbubble measurement method with manual annotation and accuracy testing methods was conducted. Existing microbubble measurement methods are unable to measure bubble sizes smaller than 150 μm and have equipment that is not compact enough. The Hough transform algorithm may be a more optimized microbubble measurement method than the existing microbubble measurement methods. This research aims to apply and test the Hough circle transform algorithm as a microbubble measurement method. This research was conducted with 5 samples, each sample lasted 10 seconds. In this study, it can be concluded that the Hough Circle Transform algorithm, as a method for measuring microbubbles, is able to detect bubbles with sizes ranging from 0.11 to 0.36 µm, with an average size of 0.20 µm. The average accuracy across the five data samples is 98%.

STUDI RANCANG BANGUN ALAT PENGUKUR BOILING WATER SHRINKAGE PADA BENANG TEKSTIL

Fahmi Fawzy Rusman — 2024-11-23

Boiling water shrinkage measurement is a critical method in the textile industry for evaluating the dimensional stability of yarn, particularly during finishing processes which involve hot water. This study aims to design and develop a yarn shrinkage measurement device using the boiling water shrinkage method, referring to ISO 18066:2015 standard. The prototype is designed to be compact and energy-efficient, utilizing easily accessible smaller materials and components using a microcontroller for manual temperature control. The device was tested on 100% acrylic yarn, with results showing accuracy comparable to industrial-grade testing instruments used by PT Hanil Indonesia. A t-test analysis revealed no significant difference between the developed device and industrial testing tools, indicating that the prototype can provide reliable and accurate measurement results. This research offers a practical, cost-effective solution for yarn quality control in both the textile industry and educational institutions, enhancing testing capabilities for textile materials.

ANALISA PENGARUH SUDUT ELEVASI PANEL SURYA TERHADAP KELUARAN DAYA YANG DIHASILKAN

Eva Hertnacahyani Herraprastanti — 2024-11-23

The sun is a clean and environmentally friendly energy source, this energy is very suitable for use in tropical countries such as Indonesia. Currently, human dependence on energy is causing an energy crisis in the world. Therefore, there is a need to develop renewable energy such as the application of solar panels that are sourced from solar energy. converted into electrical energy. The problem that arises is how the elevation angle of the solar panel affects the power produced with the aim of knowing the effect of the correct elevation angle to obtain the highest power output produced by the solar panel. The methods used are literature study, preparation of tools and materials, assembly of tools, installation, data collection.The test carried out was an elevation angle experiment with variations in angles of 0o, 15o, 30o. From the results of the research that has been carried out, it is known that 0o, is highest at 12.00, which is 260.92 watts and the lowest is at 16.00, which is 133.74 watts. At an angle of 15o, the highest is at 11.00, namely 266.69 watts and the lowest is at 16.00, namely 127.90 watts. At an angle of 30o, the highest is at 12.00, namely 291.70 watts and the lowest is at 16.00, namely 129,368 watts. The highest average power produced by solar panels is at an angle of 30o, amounting to 214.70 watts, this happens because the greater the intensity of sunlight, the greater the power produced by solar panels.

PERBAIKAN INSTRUKSI KERJA PATROLI MESIN TENUN SHUTTLE UNTUK PENINGKATAN EFISIENSI PRODUKSI

Adhy Prastyo Eko Putranto — 2024-11-23

In general, the weaving manufacturing process at PT XYZ still has low productivity (79%), low efficiency (75%), and low product quality (grade C-). In fact, the company has implemented comprehensive quality control (on materials, processes and products) in the form of patrol inspection work instructions for shuttle loom machines. This research aims to improve or update existing work instructions so that they meet the rules of work instructions that are clear, detailed, easily accessible and comprehensive. Improvements to work instructions are chosen among a variety of other causes because the variables of work instructions and the people who carry them out are relatively easier to do and do not take long time. The selected sample includes 6 types of weaving machines in the production period from January to July 2024. The construction of woven fabrics that are the object of research is the manufacture of woven fabrics from cotton warp yarn and weft yarn with yarn number 40, end per inch 94, pick per inch 70, 50 inch fabric width, plain woven type and 100000 meter fabric length.This production batch needs 36 weaving machine shuttle-type for 49 days. After the work instructions were corrected and the operator was given training to be consistent and correct in carrying out work instructions, there was a change in the quality of weaving production at PT XYZ. The productivity value increased to 81%, the efficiency value increased to 76% and the product grade became C+ grade.

ANALISIS KERUSAKAN UNIT EXCAVATOR KOBELKO SK210LC DENGAN PENDEKATAN FAULT TREE ANALYSIS PADA CV. CAHAYA INDRA LAKSANA

Taufiq Hidayat — 2024-11-23

Excavators greatly assist human work with a work system that wants to be completed quickly and has a greater production capacity compared to conventional power. Heavy equipment if used continuously will shorten its life. Therefore, maintenance is important on Excavators. This study uses the Fault Tree Analysis (FTA) method as a tool that can determine basic damage to the object being studied which is continued by calculating MTBF (Mean Time Between Failure), MTTR (Mean Time To Repair), and Availability. This method is used to determine how long the tool can operate before damage occurs, as well as the time needed to repair damage to the tool, then the effectiveness of the tool's performance within a certain period of time. The results of the analysis with FTA explain the basic damage to the Gear Swing due to operator error, dirty oil being inserted, late oil changes, poor oil quality, insufficient grease lubrication and/or contaminated grease. Damage to the injector is broken due to the quality of the cheap diesel filter, late replacement of the diesel filter, poor diesel, the tank is condensing and has not been drained for a long time. Damage to the hydraulic hose is broken because it is time to replace it, the relief valve is jammed, rubber flakes are broken inside, the hose specifications are not right and/or the engine overheats. The MTBF calculation results of this tool are 91.25 hours, MTTR is 8.84 hours, Availability is 90.3%..

STUDI PEMANFAATAN CAMPURAN MATERIAL WASTE PADA PRODUKSI BENANG POLYESTER: PERBANDINGAN BLEND RATIO TERHADAP KUALITAS

Hasna Khairunnisa — 2024-11-23

Textile industry is a big industrial sector which produces wastes in its processes, including the initial process of textile, the yarn spinning manufacturing. Yarn spinning process converts raw material of fibers into yarn, it also produces waste in each stage of the production. Waste generated from the blowing to winding process has various characteristics and properties. This study aims to identify waste generated in the polyester yarn spinning process and make a categorization of waste, based on the characteristics of waste: whether it can be reused or cannot be reused (called Unused). Waste sorting process parameters are also determined to be able to produce waste material that is ready to be reused for the yarn production. The mixing of waste material and original non-waste material is then used for production with 3 combinations of blend ratio, showing the percentage of waste content in each material mixing. After the mixing process, material is manufactured to produce finished yarn. Yarn quality testing is performed to test the effect of waste material mixtures on the yarn quality itself. The quality parameters involved are yarn unevenness, neps and trash contents. The test results show that the results of the material mixture for the 3 type of blend ratio meet the company’s quality standards. To conclude, it is as expected that the lower the waste percentage, the higher the yarn quality. However, in order to optimize waste usage, as high as 3.2% waste still can be utilized while maintaining the yarn quality standards.

PENERIMAAN DAN PENGARUH PENGGUNAAN QUICK RESPONSE CODE INDONESIAN STANDARD (QRIS) PADA USAHA MIKRO, KECIL, DAN MENENGAH

Arbaina Mayasari — 2024-11-23

This study aimed to identify the factors influencing the adoption of the Quick Response Code Indonesian Standard (QRIS) among Micro, Small, and Medium Enterprises (MSMEs) in the D.I. Yogyakarta Region and its surrounding areas, as well as to examine the impact of this payment method on MSMEs' performance. By utilizing an extended Technology Acceptance Model (TAM) and Structural Equation Modeling-Partial Least Square (SEM-PLS), this research explored the relationships between perceived ease of use, attitude towards using, behavioral intention, actual use, and SMEs performance. The findings revealed that perceived ease of use significantly influenced attitude towards using, which in turn positively impacted behavioral intention and actual use. Furthermore, actual use was found to have a significant positive effect on SMEs performance. Path analysis also indicated a mediation relationship, whereby attitude towards using had a significant positive impact on SMEs performance through behavioral intention and actual use. These findings highlight the importance of government efforts to cultivate a positive attitude among MSMEs towards QRIS, particularly by enhancing perceived ease of use.

STUDI UJI IMPAK PADA KOMPOSIT BERBAHAN CAMPURAN SERBUK KEONG SAWAH UNTUK FRAME DRONE

Ahmad Ihsan Fuady — 2024-11-23

The rice snail (Pilla ampullacea) is an aquatic snail that is commonly found in the freshwater waters of Southeast Asia. The shell of the sawah snail has a dark green to blackish color and contains calcium carbonate (CaCO3), which has the potential to be used as a filler in the manufacture of composites. This study aims to identify the effect of the addition of rice snail shell powder on the mechanical properties of composites, as well as to compare their performance with conventional filler-based composites. In addition, this study also evaluates the production cost of the composite of rice snail shell powder for drone frames. In this study, researchers used the literature study method. The testing stages include making specimens, then conducting impact, tensile and bending tests on these specimens, as well as collecting and analyzing test data. The results showed that rice snail shell powder was not very significant in improving performance as a composite filler. Carbon fiber still shows superior performance, with average impact test results of 332,5 kJ/m2, tensile test of 742,8610 MPa and bending test of 187,8 MPa. Although the test data is relatively far in performance, the use of rice snail shell powder is still worthy of further research because of its abundant availability in nature, so it has economic value. In addition, the potential to reduce environmental pollution due to carbon waste and help farmers overcome pests in rice plants is also a reason.

EFEKTIVITAS PENGENDALIAN MUTU TERINTEGRASI UNTUK MENINGKATKAN KONSISTENSI KUALITAS BENANG KATUN DALAM INDUSTRI PEMINTALAN

Bambang Yulianto — 2024-11-23

This study aims to identify and control the primary factors causing defects in Cotton 30 W yarn at PT Bintang Asahi Textile Industry using fishbone analysis. The research hypothesis states that yarn defects are caused by variations in raw material quality, insufficient operator accuracy, suboptimal mixing methods, and unfavorable environmental conditions. Data collected included Ne and TPI checks on uneven yarn samples analyzed from the packing area. The results revealed inconsistencies in TPI values for dark yarns, attributed to inconsistencies in raw materials and operational factors. Improvement measures are proposed, including selecting raw materials based on micronaire standards, retraining operators, and adjusting production methods. These findings highlight the importance of stringent quality control in the production process to enhance consistent yarn quality. Implementing these results is expected to increase product competitiveness in the global market by meeting export quality standards.

MICROWAVE PYROLYSIS LIMBAH SEKAM PADI DENGAN VARIASI HOLDING TIME DAN PARTICLE SIZE UNTUK MENGHASILKAN BAHAN BAKAR TERBARUKAN

Ahmad Murtadlo Zaka — 2024-11-23

This study aims to examine the pyrolysis of rice husk waste mixed with silicon carbide (SiC) as an absorber using a primary microwave reactor, as well as the role of natural zeolite catalysts heated in a secondary reactor. Microwave pyrolysis converts rice husks into products with more value, in the form of biochar, bio-oil, and gas. Pyrolysis is carried out in a primary reactor, by mixing rice husks and SiC absorber. SiC is used to maximize microwave absorption to produce fast and efficient heating, and increase pyrolysis results. Meanwhile, the natural zeolite catalyst in the secondary reactor is heated conventionally with an oven maintained at a temperature of 400 °C. Then the variations in the holding time of the test are 5, 10, 15, and 20 minutes, while the particle size of rice husk waste is 18-35 and 35-60 mesh. The pyrolysis results show that the particle size of 18-35 mesh with a holding time of 5 minutes gives the highest biochar yield (72.20%). In addition, the larger particle size of rice husk waste (18-35 mesh) with a holding time of 20 minutes gave the highest bio-oil yield of 18.80%, due to the slower pyrolysis reaction compared to the size of 35-60 mesh. Then the highest gas product (21.60%) was obtained at a particle size of 35-60 mesh with a holding time of 20 minutes. In addition, the particle size of 35-60 mesh was 37 seconds faster to reach a temperature of 450 ˚C compared to the particle size of 18-35 mesh.

PERANCANGAN ULANG TATA LETAK FASILITAS DEPARTEMEN SAWMILL MENGGUNAKAN METODE ACTIVITY RELATIONSHIP CHART (ARC) DI PT. INHUTANI I UMI JUATA

Siti Nur Jannah — 2024-11-23

PT Inhutani UMI I Juata is a state-owned enterprise (SOE) engaged in the forestry sector, focusing primarily on timber processing, natural forest management, and plantation forest management. The company operates a single Sawmill Department, which faces layout issues that impact production time and increase the physical effort required from workers. Several machines are not fully aligned with the production process flow. This study aims to redesign an effective and efficient facility layout for the Sawmill Department at PT Inhutani I UMI Juata. The method employed is the Activity Relationship Chart (ARC), which analyzes the interactions between activities and optimizes facility placement based on the importance of these relationships. The recommendations include relocating several facilities, such as placing the pony bandsaw 8 and pony 3 machines near conveyor 4, whereas in the initial layout, these machines were located near conveyor 5. Additionally, ripsaw 3 should be moved closer to conveyor 5, and assembly area 1 should be positioned between ripsaw 3 and ripsaw 6 to follow the production flow. In the initial layout, ripsaw 3 was placed near conveyor 4, and assembly area 1 was located near ripsaw 3 and breakdown bandsaw 1. Furthermore, ripsaw 9 should be positioned between conveyor 6 and assembly area 3, while in the initial layout, ripsaw 9 was situated between conveyor 2 and conveyor 3.

ANALISIS PENERAPAN METODE ANALYTICAL NETWORK PROCESS (ANP) PADA PEMILIHAN SUPPLIER AYAM POTONG TERBAIK PADA RUMAH MAKAN PADANG UPIK KM 10 KOTA BALIKPAPAN

Dewa Gede Satria Dharma — 2024-11-23

Supplier selection is a strategic decision in supply chain management that significantly influences the development of competitive advantage, especially in sourcing raw materials. This study aims to identify the most influential criteria in the selection of chicken suppliers and to evaluate the best supplier alternatives, providing guidance for Rumah Makan Padang Upik KM 10 Balikpapan in their decision-making process. The method used is the Analytical Network Process (ANP), which considers the interrelationships between criteria and sub-criteria in determining the best alternatives. This study utilizes Super Decision software for analysis and to obtain a ranking of the chicken suppliers. Four criteria were used, namely product quality, price, location, and delivery. Each criterion has associated sub-criteria, such as chicken condition, taste, size, payment methods, discounts, price, supplier location, infrastructure condition, and delivery process and time. Based on the analysis, the top three suppliers identified were Ayam Potong Abu Firas, Ayam Potong Madinah, and Ayam Potong Kampung Timur. Product quality had the highest weight (0.092059), and among the sub-criteria, the discount on chicken price had the highest weight (0.123772). Ayam Potong Abu Firas ranked first with the highest ideal value (1.000000), Ayam Potong Madinah ranked second with an ideal value of (0.505683), and Ayam Potong Kampung Timur ranked third with an ideal value of (0.316273). The results of this study provide valuable insights for Rumah Makan Padang Upik KM 10 in selecting the most suitable supplier to meet their needs.

ANALISIS RISIKO DAN STRATEGI MITIGASI MENGGUNAKAN METODE HOUSE OF RISK (HOR) PADA INCOMING NEW PART AREA WAREHOUSE PT. XYZ

Dwi Kurniawan — 2024-11-23

STUDI PENGARUH KOMPOSISI DAN ORIENTASI SERAT TERHADAP SIFAT FISIS DAN MEKANIS KOMPOSIT SERAT KULIT JAGUNG MATRIKS RESIN EPOXY

Rizhal Azhar Nurfatoni — 2024-11-23

This paper presents composite materials with an epoxy resin matrix reinforced with corn husk fiber. The research variations include fiber orientation and volume fraction of corn husk fiber. The composite fabrication process includes soaking the fibers in a NaOH, combing, and fiber extraction, followed by preparation of a specimen for testing. Testing was conducted to measure density, water absorption, impact strength, and hardness. The impact test followed the ASTM D256 standard (Standard Test Methods for Determining the Izod Pendulum Impact Resistance of Plastics). The results showed that the physical properties and mechanical strength of random fibers with 40% fiber orientation had more dominant results compared to other compositions and orientations. Random fiber orientation with 40% fiber fraction had a density of 1.81 g/cm3, a percentage of water absorption of 4.39%. Impact energy 0.4306 Joules, and value of Vickers hardness is 10.2844 kg/mm2. The strength of the composite increases with the increase in fiber volume fraction. Random fiber composites with a fiber fraction of 40% have a more even stress distribution and resistance to loads from various directions, as well as a larger contact area between the fiber and the matrix which increases strength.

PENGEMBANGAN SIMULASI VIRTUAL MESIN SIZING SEBAGAI ALTERNATIF METODE PEMBELAJARAN PRAKTIKUM TEKNOLOGI PERSIAPAN PERTENUNAN

Verawati Nurazizah — 2024-11-23

This study has developed a virtual simulation of a sizing machine as an alternative approach for practical learning in weaving preparation technology. This simulation was created by emulating the interface and functionalities of an industrial sizing machine. This study applies the five-stage Research and Development (R&D) ADDIE model developed by Robert Maribe Branch in 2009. The first stage is analysis, then design, development, implementation, and evaluation. The design and development method of this simulation employs graphic design applications CorelDraw, Adobe Illustrator, and Animate CC for component production, user interface assembly, encoding, movie testing, and publication. A Likert scale questionnaire with a 1–5 scale is used to evaluate the user experience and determine whether the simulation content is adequate. Using the validity and practicality criteria, the percentage value is then calculated from the entire score. According to the study's findings, the simulation sizing machine's concept and operation were given a 100% validity percentage with a very valid category, and the degree of fit between the simulation's features and the industry-standard sizing machine was given a 90% validity percentage with a very valid category. Additionally, with a percentage of 79.45%, the user evaluation results of the virtual simulation of the sizing machine indicated that this program was feasible to use. It is possible to employ the produced virtual simulation of the size machine as an alternate approach to hands-on learning in weaving preparation.

PENGARUH PROSES SHAW DAN UNICAST TERHADAP SIFAT FISIS DAN MEKANIS CETAKAN COR PASIR KROMIT

Jauhar Khoirul Umam — 2024-12-23

Steel casting has been done using sand molds, both river sand and silica sand, tends to experience casting defects, especially surface defects. One way to overcome surface defects is to use sand that has a higher melting point, including chromite sand and zircon sand. Chromite sand has a higher price, so it is often mixed into silica sand, but this mixing can cause clumping when exposed to molten metal at high temperatures (e.g. steel). One solution proposed in several literature is using ceramic molds. Ceramic molds are molds made of ceramics or minerals, in this case, sand that has been sintered to become ceramics. For this reason, it is necessary to test the ability of chromite sand as a raw material for this ceramic mold. There are two ceramic sintering processes, namely the Shaw process and the Unicast process, where the Shaw process requires higher production costs because the sintering time is longer. In this study, the Shaw process showed better ability than the Unicast process in producing chromite sand ceramic molds, with an optimum sintering temperature of 1050°C. The Fenotec 810 resin produced by PT. Foseco Indonesia is a binder that has varying drying time characteristics, so it can be adjusted according to needs in forming ceramic molds.

ANALISIS RISIKO K3 DENGAN METODE HIRARC PADA PROSES BENDING SEMI FINISH PLATE BUMPER HM400 KOMATSU DI PT. KHARISMA LOGAM UTAMA BEKASI

Alexander Gerald Adityamurti — 2024-11-23

The increasing competition in the industrial sector has driven companies to enhance productivity while maintaining the safety standards. PT. Kharisma Logam Utama (KLU), a manufacturing company specializing in metal and machinery components, is a key partner for PT. Komatsu Indonesia, producing parts for heavy equipment such as the KOMATSU HM400 articulated dump truck. The bending process of semi-finished plates, an essential step in bumper production, poses significant risks to worker safety. This study aims to analyze occupational health and safety (OHS) risks using the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method. Data collection was conducted through direct observation and interviews over August to September 2024. The findings highlight that most risks in the bending area are categorized as Level II (acceptable with monitoring), constituting 45% of identified activities. Level I risks, deemed acceptable, made up 35%, while Level III (problematic, requiring immediate action) constituted 15%. The highest risk level, IV (unacceptable), accounted for 5% and demands urgent corrective measures due to potential serious injuries or fatalities. The analysis identified mechanical hazards such as cuts, pinches, and material falls as prevalent. Implemented controls included personal protective equipment (PPE) like anti-impact gloves, safety boots, and safety goggles, alongside procedural guidelines. The application of the HIRARC method proved effective in prioritizing risk mitigation measures and improving workplace safety, ultimately contributing to a safer production environment.

KARAKTERISASI KOMPOSIT BERPENGUAT SERAT PELEPAH PISANG SEBAGAI MATERIAL BOX KACAMATA

Wikan Novantoro — 2024-11-23

Considerations in choosing banana stem fiber as an alternative in reducing the use of metal materials or synthetic fibers because they are more environmentally friendly and easy to obtain. Utilizing unused waste from plantation products has a lighter weight because banana stem fiber has quite good mechanical properties. This research aims to determine the mechanical properties of composites reinforced with banana stem fiber with random fiber orientation and using the Eposchon Epoxy Resin A + Hardener EPH 555 matrix as a replacement material for eyeglass cases made of plastic. Banana stem fibers were soaked in 5% NaOH for 2 hours, then composites were made using the hand lay up method with fiber weight fractions of 5%, 10% and 15%. Composite materials produced from the three variations in weight fractions were each subjected to 3 tests, namely tensile tests to ASTM D3039 standards, impact tests to ASTM D256 standards, and bending tests to ASTM D790 standards. The research results showed that the highest tensile strength at the 10% fiber weight fraction was 15.71 MPa, the highest impact value at the 5% weight fraction was 0.611 Joules, and the highest bending strength was obtained at the 5% fiber weight fraction at 69.9 MPa. Judging from the tensile, impact and bending strength of the banana stem fiber composite, it is feasible and meets the requirements to be an alternative material for eyeglass cases made from Polypropylen (PP) plastic.

PENERAPAN TEKNOLOGI TEPAT GUNA UNTUK OPTIMALISASI PRODUKSI MIE GANYONG DI DESA TERBAH, GUNUNGKIDUL

Joko Waluyo — 2024-11-23

Product development based on tubers such as ganyong (Canna edulis) has great potential to support local food independence and improve community welfare. This activity aims to assist micro business partners in Terbah Village, Gunungkidul, in adopting appropriate technology to optimize the production of ganyong noodles. The methods used include identification of partner needs, operational training, and technical assistance during the production process. The applied technology includes high-efficiency milling, drying, and noodle-making tools. The results showed an increase in production capacity of up to 30%, more consistent noodle quality, and a decrease in operational costs. In addition, this mentoring provided partners with an understanding of production management and digital-based marketing strategies. The implementation of TTG proved effective in increasing the competitiveness of ganyong noodle products in the local market. This research is expected to be a model in the development of TTG-based food products that support the economic empowerment of rural communities.

PENERAPAN TEKNOLOGI TEPAT GUNA UNTUK PENINGKATAN PRODUKTIVITAS DAN DAYA SAING UMKM COKELAT DI NGLANGGERAN WETAN

Muhammad Sholeh — 2024-11-23

Increasing the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) is one of the strategic steps in supporting economic growth, especially in the food processing sector based on superior commodities such as chocolate. This community service activity aims to implement appropriate technology to support the productivity and efficiency of chocolate MSMEs in Nglanggeran Wetan. One of the products of the chocolate MSMEs is chocolate melted banana chips. The main focus of this activity includes optimizing the production process through the use of appropriate technology equipment such as the use of banana chopper, oil drainer and packaging machine. The methods used include an initial survey of MSME needs, technical skills training, installation assistance and technology use. The result of the application of TTG is the increased capacity of MSME actors in managing their businesses better, especially in the production of banana chips. The use of the banana cutting machine, before using the TTG, cut bananas as much as 20 kg/hour and after using the tool can produce cuts as much as 40kg/hour. The use of the banana cutter TTG is able to increase the yield of banana pieces by 100%. In terms of safety, the use of this TTG can reduce the risk of work injury and can increase the comfort and safety of workers.

PENINGKATAN PRODUKTIVITAS DAN LINGKUNGAN DENGAN METODE GREEN PRODUCTIVITY PADA UMKM SALAK LERENG MERAPI

Muhammad Yusuf — 2024-11-23

The current production process for processing snake fruit does not pay attention to water use efficiency, resulting in excess water use. Another problem that occurs is the large amount of liquid waste, which causes a strong odor and pollution of the water. One approach that can be taken to increase productivity while reducing environmental impacts is the Green Productivity (GP) model. The average value of productivity in the period January - September 2024 is 148.07% and the EPI Index is -27.50. In this research, efforts were made to handle liquid waste by proposing two alternative solutions. Alternative 1 is by adding a salak fruit mixer machine for efficient use of water and alternative 2 is by processing waste into biogas. Based on the alternatives proposed, alternative 2 was chosen as an alternative solution, namely making a liquid waste processing plant into biogas. This alternative was chosen because it can increase company productivity to 152.32% or provide a contribution of 4.25%. Alternative 2 also contributes to changes in liquid waste levels of the BOD5 variable by 89.70%, COD by 88.28%, TSS by 79.83%, as well as increasing the pH value by 61.59% so that environmental performance is better with an EPI index of -2.64.

EFEKTIVITAS METODE PDCA DALAM MENINGKATKAN AKURASI PENGUJIAN KOMPOSISI BENANG DI INDUSTRI PEMINTALAN

Ahmad Darmawi — 2024-11-23

This study investigates the effectiveness of the Plan-Do-Check-Act (PDCA) method in improving the accuracy of polyester-cotton blend yarn composition testing within the spinning industry. The PDCA methodology was applied to address current testing inaccuracies, focusing on achieving the industry-standard blend ratio of 65/35 polyester-cotton. Adjustments in procedural standards, including drying times, washing techniques, and oven temperatures, were made to align with AATCC guidelines. The results show a significant improvement in testing accuracy, reducing variability and ensuring consistency with work order specifications. This research demonstrates that the PDCA cycle enhances quality control processes and contributes to more reliable outcomes in textile manufacturing. Future work could explore integrating advanced technologies such as AI into the PDCA framework for further optimization.

DISEMINASI PADA KELOMPOK REMAJA PUTRI PUTUS SEKOLAH MELALUI PEMBUATAN SABUN CUCI TANGAN DI DESA MAGGENRANG

Andi Rosdaliani — 2024-11-23

Maggenrang Village is a village located in Kahu District, Bone Regency. One of the hamlets in Maggenrang Village that stands out is Pettungnge Hamlet, where maja plants grow in abundance. Each house in this hamlet has around 3-4 maja trees which are used as hedges. However, maja fruit in Pettungnge Hamlet is left lying around or even used as toys by children. Most of the maja fruit that falls from the trees is also thrown into the river because it has an unpleasant aroma. The main problem related to maja fruit in Pettungnge Hamlet is the lack of public knowledge in using it. Maja fruit has a taste that tends to be bitter and has a strong smell, especially old fruit1. In fact, maja fruit has great potential to be used as raw material for making hand washing soap as a sanitation product. The solution offered by the Proposing Team is to transform maja fruit into environmentally friendly hand washing soap. Currently, hand washing soap on the market contains chemicals that are not good for the environment and skin health. Using natural ingredients such as maja fruit as an alternative can help reduce the negative impacts of chemical soap. Maja fruit contains saponin compounds which cause this fruit to foam when mixed with water. Therefore, maja fruit can be processed into safer and more effective hand washing soap. By producing hand washing soap from maja fruit, people can increase their knowledge and skills in producing products of high economic value. Apart from that, it is also in line with the village's sustainable development goals (SDGs), especially in creating healthy, prosperous and environmentally conscious villages.

TINJAUAN TERKINI: TRANSFORMASI LIMBAH MENJADI HARTA DENGAN ALTERNATIF PENANGANAN URIN SAPI DAN SEKAM PADI MENJADI PUPUK KOMPOS ORGANIK

Hasniar — 2024-11-23

The potential of cow urine and rice husk waste in Bulu Ulaweng Village has not been fully realized due to a lack of knowledge and insufficient community outreach. Consequently, both the community and the Working Group IV (Pokja) of the Healthy Village in Bulu Ulaweng have struggled to harness this potential. This community service program aims to bridge this gap by converting cow urine and rice husk waste into organic compost fertilizer. This innovative product has not been introduced by agricultural extension workers or other initiatives in Bone Regency, highlighting the urgent need for this program. The program follows a three-stage community empowerment model: counseling, training, and mentoring. In the counseling stage, participants learn the benefits and methods of processing cow urine and rice husk waste. The training stage provides hands-on experience in creating organic compost fertilizer, ensuring practical skill acquisition. The mentoring stage supports the community in independently applying their new knowledge and skills, promoting long-term sustainability. The program has had highly positive outcomes. Partners now understand the benefits of processing these materials and have developed the skills to convert them into organic compost fertilizer. They have also successfully marketed their products online, achieving a productivity increase of up to 99%. Beyond economic benefits, this program contributes significantly to advancing Sustainable Development Goal No. 3, which focuses on creating healthy and prosperous communities. This initiative is expected to serve as a benchmark for other villages, encouraging effective local resource utilization.

OPTIMASI PENGGUNAAN ARANG AKTIF DARI LIMBAH BAGLOG JAMUR TIRAM (Pleurotus ostreatus) DALAM PENGOLAHAN MINYAK GORENG BEKAS: STUDI PENURUNAN KADAR ASAM LEMAK

Ronae Meryam — 2024-11-23

The potential for baglog mushroom waste in Bleberan Village, Playen District, Gunungkidul Regency is very large and has not been utilized properly, as well as the potential for used cooking oil waste. In this research, activated charcoal was made which was used as an adsorbent for free fatty acids in used cooking oil. The characterization of refined cooking oil is carried out based on SNI 7709:2019 including odor, color and free fatty acids. Measurement of the effectiveness of activated charcoal adsorption was carried out by varying the concentration of NaOH activator 1 N, 2 N, 3 N, 4 N, and 5 N, varying the granule size of 20, 40, 60, 80, and 100 mesh, and varying the mass of activated charcoal 2 g, 4 g, 6 g, 8 g and 10 g. The research results showed that optimum conditions were obtained at a NaOH activator concentration of 5 N with a grain size of 100 mesh and an activated charcoal mass of 8 g. In these conditions, used cooking oil experiences an increase in odor quality from abnormal to normal, color from brown to yellow, and a decrease in free fatty acids from 1.73 to 0.27%, so that it meets quality standards according to SNI 7709:2019

PENGEMBANGAN EKONOMI HIJAU DI ERA SOCIETY 5.0: KOLABORASI TEKNOLOGI DAN LINGKUNGAN UNTUK MASA DEPAN

Aloysius Agus Subagyo — 2024-11-23

The intensifying global environmental crisis, driven by climate change, pollution, and resource depletion, necessitates a shift towards sustainable economic models. The green economy, which emphasizes resource efficiency, renewable energy, and ecosystem protection, offers a framework for achieving sustainable growth. However, the transition to a green economy requires substantial technological innovation and a coordinated effort across multiple sectors. Society 5.0, a concept pioneered in Japan, integrates advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and big data to address pressing social and environmental issues. Unlike previous industrial models, Society 5.0 aims to balance economic growth with social well-being and environmental stewardship. This study explores how Society 5.0 can accelerate the green economy by fostering a synergy between technology and environmental practices. Utilizing a qualitative descriptive approach and analyzing secondary data from industry reports and academic literature, the research examines the contributions of Society 5.0 technologies in supporting sustainable practices. Findings reveal that these technologies enable efficient resource management, lower carbon emissions, and improve waste management processes. However, significant challenges remain, including high initial costs, limited infrastructure, and resistance to change. The study concludes that collaborative efforts among governments, industries, and communities are essential for overcoming these obstacles, facilitating a smoother transition towards a sustainable green economy that harmonizes technological advancement with environmental protection.

SINTESIS NATRIUM SILIKAT DARI ABU HASIL GASIFIKASI SEKAM PADI

Ani Purwanti — 2024-11-23

Soil degradation in Indonesia due to excessive use of chemical fertilizers leads to a decline in soil quality, increased toxicity, and environmental damage, which negatively impacts crop productivity. This study aims to synthesize sodium silicate from gasified rice husk ash as an alternative organic fertilizer and to determine the optimal operational conditions for the synthesis process. Organic fertilizers have the potential to improve soil structure and reduce compaction, while nano-fertilizer technology offers efficiency in nutrient release. The research was conducted in the Chemical Engineering Operations Laboratory at Universitas AKPRIND Indonesia, with varying soaking times in a 2 M NaOH solution of 45, 60, 75, and 90 minutes. The results indicate that the optimal soaking time for sodium silicate synthesis is 45 minutes, yielding 0.6 grams of sodium silicate with a yield of 12%. The increase in NaOH concentration is associated with the solubility of sodium silicate, but the results show the presence of unreacted excess NaOH. This study underscores the importance of optimizing soaking time and NaOH concentration to enhance the efficiency of sodium silicate production from rice husk ash and contributes to the development of more environmentally friendly and sustainable organic fertilizers within the context of modern agriculture. Furthermore, this research has the potential to open opportunities for farmers to reduce their dependence on chemical fertilizers, thereby supporting environmental sustainability. The implementation of sodium silicate as an organic fertilizer can improve soil health and crop quality. Additionally, the findings are expected to contribute to sustainable agricultural policies in Indonesia. Finally, the utilization of rice husk ash as a source of sodium silicate will enhance the added value of agricultural waste and support more efficient natural resource management.

ANALISIS PENGARUH VARIASI JENIS PAKAN TERHADAP KUALITAS MAGGOT PADA PENGOLAHAN SAMPAH ORGANIK

Widya Kasuma Dewi — 2024-11-23

Waste is the main problem faced by the city of Yogyakarta to date. To reduce this waste, an easy, efficient and effective waste reduction process can be carried out, namely by using Black soldier fly maggot larvae. The aim of this research is to determine the effectiveness of reducing organic waste; knowing the weight and length of the maggot; and determine the maggot content in the form of water content, ash content and protein with variations in type of feed and test times on days 12, 14, 16 and 18. The research was carried out for 18 days with an initial egg weight in cultivation of 0.5 g. Variations in the type of feed used in container 1, namely food waste, and container 2, namely vegetable and fruit waste. The greatest reduction in organic waste from food waste was 65%. The largest maggot weight was a maggot with the type of feed in the form of food waste with a total maggot weight of 415 g while the type of feed was vegetable and fruit waste at 96 g. The length of the food waste maggots was 0.5 cm on the 6th day and 2 cm on the 18th day, while the size of the vegetable and fruit waste maggots was 0.4 cm to 1.4 cm. The maggot water content obtained ranged from 28.5-64.9%. Maggot ash content will decrease with age. Maggot protein content ranges from 4.15-19.3%.

REVITALISASI USAHA KELOMPOK PETERNAK RINDU KELURAHAN BAHOI PULAU TAGULANDANG MELALUI PROGRAM KOSABANGSA

Nindy Gaby Sepang — 2024-11-23

The Rindu Breeders Group, Bahoi Village, Tagulandang Island produces free-range chicken carcasses of ± 100 kg/week. Mitra has a very traditional cage with chicken mortality reaching 25%, basic feed without formulation and not meeting the needs of free-range chickens with a weight gain of rearing chickens of 1000 g/90 days, hatchability of 40% in breeding and embryo mortality of 50%. Agricultural products are cloves amounting to 250-500 kg/harvest, nutmeg and salak fruit which are marketed without processing. The eruption of Mt. In early 2024, 1304 people from Bahoi sub-district were forced to evacuate because they were worst affected due to the proximity of their residence to Mt. Room. Target Partner Areas are Kosabangsa's Priority, namely underdeveloped areas (3T areas) and Disaster Prone. Kosabangsa Regional Sector Rindu Farmers Group: Animal Husbandry, the problems of the Rindu farmer-livestock group are the production aspect and the marketing aspect. In terms of production, after the disaster, the number of chicken livestock decreased greatly and livestock cages were badly damaged. Animal feed without good feed formulation. Low production of day old chicks. In the management aspect, there is no clear division of tasks in the group organization and the marketing aspect has not been formed so that marketing is not optimal. The Rindu Science and Technology Farmers Group that will be invested in includes the modernization of free-range chicken colony cages, animal feed processing equipment technology, implementation of egg incubator technology, implementation of solar cell technology, implementation of salak, nutmeg cutting equipment technology and livestock waste processing equipment technology.

PENGOLAHAN LIMBAH CAIR TEKSTIL INDUSTRI LURIK MENGGUNAKAN METODE ELEKTROLISIS

Sih Parmawati — 2024-11-23

Lurik cloth is a textile product that is very popular with the public. Its existence boosts the community's economy. However, on the other hand, the process of making lurik cloth produces liquid waste that can damage the environment, ecosystems and is harmful to human health. This study aims to reduce the color intensity in textile industry liquid waste using the electrolysis method to improve the quality of wastewater so that it is suitable for disposal. This study used textile waste from the Lurik industry; Klaten; Central Java as a sample material. The parameters observed were color intensity, pH, Total Dissolved Solids (TDS) and Total Suspended Solids (TSS). After the electrolysis process, the solution was analyzed qualitatively and quantitatively with a UV-Vis Spectrometer and TSS value analysis. The results showed that the electrolysis method was effective in reducing pollution parameters in liquid waste. At a voltage of 15 volts for 90 and 120 minutes, the pH value of the liquid waste decreased to 12.17%. In addition, there was a decrease in TDS and TSS levels. The highest TDS level decreased to 23.16% at a voltage of 15 volts and a contact time of 120 minutes, while TSS decreased by 7.36% under the same conditions. Based on these results, researchers provide practical recommendations to the textile industry in the management of lurik fabric dyeing liquid waste to apply the electrolysis method as a sustainable and environmentally friendly liquid waste processing strategy. Thus, this study is expected to provide a positive contribution in efforts to reduce liquid waste pollution and environmental preservation.

PERBAIKAN MASALAH PADA KOMPONEN ROTARY MESIN JAHIT SNL DENGAN METODE FISHBONE di PT X

Abdul Rohman Heryadi — 2024-11-23

PT X is a garment company that specializes in producing underwear, with the majority of its market share in exports. Observations in the D-8 production line reveal machine issues that disrupt the smoothness of the production process. Among the machine problems that arise, the issues with the rotary component of the SNL sewing machine require the longest time for repair and reinstallation. The technical team needs 25 hours to carry out the repairs and adjustments to the machine so that it can be operated again on the D-8 production line. Based on the problem cause analysis method, three causes of the issues with the rotary component of the SNL sewing machine can be identified: human factors, methods, and machines. Field discussion and analysis indicate that the machine factor is the most dominant cause of the issue, specifically due to wear on the rotary hook. The first stage of repair involves a temporary solution by modifying the rotary hook to restore it to its original condition, which can be done by smoothing the rotary hook using sanding. The second stage of repair involves replacing the entire rotary component if the rotary hook can no longer be smoothed.

PEMANFAATAN KULIT SINGKONG SEBAGAI ALTERNATIF RAMAH LINGKUNGAN UNTUK PENGOLAHAN LIMBAH ZAT WARNA REAKTIF

Nurfadilah Ikhsani — 2024-12-23

Pada penelitian ini telah dibahasi mengenai potensi kulit singkong yang digunakan sebagai adsoben alami untuk penyerapan zat warna reaktif jenis Remazol Red. Kulit singkong yang merupakan limbah pertanian sebagian besar mengandung selulosa dan lignin yang terdiri dari gugus hidroksil (-OH). Gugus tersebut memungkinkan adanya interaksi dengan gugus reaktif yang ada pada zat warna Remazol red yaitu gugus vinil sulfon (-SO2-CH=CH2).
Ikatan yang terjadi antara gugus hidroksil dengan gugus vinil sulfon yaitu ikatan kovalen. Serbuk kulit singkong divariasikan beratnya dengan variasi berat 0,2 g, 0,5 g, 1 g, dan 2 g. Tujuannya untuk menguji efektivitas kulit singkong dalam adsorpsi zat warna Remazol Red. Hasil penelitian menunjukan bahwa semakin banyak serbuk kulit singkong yang digunakan, maka semkain banyak juga zat warna yang terserap sehingga menghasilkan larutan zat warna yang semakin bening putih. Kadar zat warna berkurang secara signifikan pada variasi serbuk kulit singkong 1 gram dan 2 gram, sedangkan pada variasi 0,2 dan 0,5 gram warna larutan tidak banyak berubah. Penelitian ini dapat disimpulkan bahwa serbuk kulit singkong terbukti dapat digunakan sebagai alternatif adsorben yang ramah lingkungan untuk pengolahan limbah zat warna di industri tekstil.

PEMANFAATAN KULIT DAUN SINGKONG SEBAGAI ALTERNATIF RAMAH LINGKUNGAN UNTUK PENGOLAHAN LIMBAH ZAT WARNA REAKTIF

Nurfadilah Ikhsani — 2024-11-23

In this research, the potential of cassava peel to be used as a natural adsorbent for the absorption of Remazol Red type reactive dyes has been discussed. Cassava peel, which is agricultural waste, mostly contains cellulose and lignin which consists of hydroxyl groups (-OH). This group allows interaction with the reactive group in the Remazol red dye, namely the vinyl sulfone group (-SO2-CH=CH2). The bond that occurs between the hydroxyl group and the vinyl sulfone group is a covalent bond. Cassava peel powder varied in weight with variations in weight of 0.2 g, 0.5 g, 1 g, and 2 g. Aims to test the effectiveness of cassava peel in the adsorption of Remazol Res dye. The results of the research show that the more cassava peel powder used, the more dye is absorbed, resulting in a dye solution that is increasingly clear and white. The color content was reduced significantly in the 1 gram and 2 gram variations of cassava peel powder, while in the 0.2 and 0.5 gram variations the environmental color did not change much. This research can be concluded that cassava peel powder has been proven to be used as an environmentally friendly alternative adsorbent for processing dye waste in the textile industry.

ANALISIS KARAKTER DAN MANFAAT LORONG SAYUR DI KOTA YOGYAKARTA SEBAGAI RUANG TERBUKA HIJAU

Angga Mahardika Syahrul Putra — 2024-11-23

The Spatial Planning Law No. 26 of 2007 and the Regulation of the Minister of Agrarian Affairs and Spatial Planning No. 14 of 2022 state that a city should have a minimum of 30% green open space of its total area. Yogyakarta City, which has an area of 32.85 square kilometers, only has an area of 23.52% green open space. In order to meet the 30% Green Open Space coverage level in accordance with the law, the Yogyakarta City Government has a Lorong Sayur program as one of the solutions to the Green Open Space problem in Yogyakarta City. This research aims to identify the form and role of Lorong Sayur using the literature study method obtained through journal articles, proceedings, government documents, regulations, and spatial data. With this method, the results of the study found that Lorong Sayur is a form of urban agriculture in the city of Yogyakarta vertically by utilizing land on the side of the alleys or neighborhood road. Lorong Sayur has an ecological impact because it is able to minimize non-organic waste, is beneficial in changing people's lifestyles, and is able to improve the socio-economic life of the people of Yogyakarta City.

PERENCANAAN PENGEMBANGAN SISTEM DISTRIBUSI AIR BERSIH DI DESA BEBIDAS, KECAMATAN WANASABA, KABUPATEN LOMBOK TIMUR, NUSA TENGGARA BARAT

Muh Roni Hasbiani — 2024-11-23

Clean water is important in the lives of rural communities, one of which is Bebidas Village. It has been observed that four hamlets in Bebidas Village do not have a distribution system because their geographical location is higher than that of the previously used water sources. These hamlets include Jurang Koak, Burnei, Dasat Erot, and Tanak Betian. Therefore, it is necessary to develop a clean water distribution system so that the need for clean water in Bebidas Village can be met.

The distribution system in Bebidas Village is planned to use a gravity system designed with the EPANET 2.2 application. The projected population growth is calculated using arithmetic and geometric methods to determine the projected need for water.

In 2028, the population are 728 for Jurang Koak, 1037 for Tanak Betian, 520 for Burnei, and 1079 for Dasan Erot. The total need for clean water in 2028 is 3.76 liters/second, while the availability of water from the Bawak Pusuk, Sebau, and Sanggah springs reaches 6 liters/second, so it can be concluded that the need for water for these four hamlets until 2028 is met. The plan to develop a water distribution network uses three reservoirs, namely Reservoir 1 dimensions 4.66m x 2.33m x 3.3m for Dasan Erot, while Reservoir 2 dimensions 6.78m x 3.39m x 3.3m for Burnei and Jurang Koak. Reservoir 3 dimensions 4.56m x 2.28m x 3.3m for Tanak Betiant. The distribution uses PVC pipes with a diameter of 5” and 4” for Dasan Erot, 3”, 4”, 5” for Burnei and Jurang Koak, and 3” for Tanak Betian.

STRATEGI PEMANFAATAN DANA DESA UNTUK KELESTARIAN LINGKUNGAN HIDUP DI INDONESIA

Fauzy Ade Priyatna — 2024-11-23

Nowadays, environmental issues have not been prioritized in village development. Village funds as a village financial instrument have the potential to be used in activities that support environmental sustainability. However, the utilization of village fund still focuses on economic and infrastructure issues. Therefore, this study aims to analyze the strategy of utilizing village fund to support environmental sustainability. This research used a library research approach. The results of study explain that there are 4 strategies in utilizing village funds to support environmental sustainability in Indonesia, namely (1) Formulating and budgeting the provision of incentives as environmental services through village fund; (2) Evaluating regulations that related to the priority utilization of village fund; (3) Increasing synergy and collaboration between stakeholders to provide education and socialization on the use of village funds to support environmental sustainability; and (4) Applying the concept of green budgeting in the state financial planning and budgeting process. These four strategies can be implemented if the village community and government are aware about the importance of environmental sustainability. Thus, the natural and environmental conditions in Indonesia will become better. The author realizes that this research still has limitations in collecting and studying references based on a library research approach.. In addition, research related to village fund needs to conduct field studies to deepen existing problems. However, the author hopes that this research can be used as a recommendation or reference for the Ministry of Villages in formulating priorities for the use of village fund.

ANALISIS KOMPARATIF KEKUATAN TARIK DAN KETAHANAN LUNTUR WARNA PADA VARIASI KONSTRUKSI KAIN TIE DYE PRODUKSI UMKM SURAKARTA

Galuh Yuli Astrini — 2024-11-23

Testing and analyzing fabric quality is crucial in the fashion industry to ensure regulatory compliance and meet consumer expectations. Tie-dye fabrics, as increasingly popular products, require specific testing to ensure their quality and durability. This study aims to analyze and compare the strength characteristics of grey fabrics made from rayon and cotton before and after stamp batik and tie-dye treatments, as well as evaluate their color fastness to soap washing. Standard testing methods were employed to measure tear strength, tensile strength, and elongation in both weft and warp directions. Results showed that rayon fabric exhibited higher tear strength (1728 g weft, 1354.67 g warp) compared to cotton (1237.3 g weft, 1194.67 g warp). However, cotton demonstrated superior tensile strength (126.2 N weft, 293.64 N warp) compared to rayon (103.6 N weft, 189.006 N warp). Fabric elongation was higher in rayon (23.37% weft, 14.08% warp) compared to cotton (10.08% weft, 11.48% warp). Stamp batik treatment increased tear strength in rayon but decreased it in cotton, while both fabric types experienced decreased tensile strength and increased elongation. Tie-dye treatment resulted in decreased tear and tensile strength but increased elongation in both fabric types. This research provides valuable insights into the changes in fabric strength characteristics following stamp batik and tie-dye treatments, which can serve as a reference for the textile industry in optimizing production processes.

IMPLEMENTASI GREEN LOGISTICS DI ERA SOCIETY 5.0 DALAM MENDUKUNG EKONOMI HIJAU DAN PEMBANGUNAN BERKELANJUTAN

Sukma Maharany — 2024-11-23

Logistics is a concrete form of implementing a green economy in the logistics sector so that green logistics and green logistics have a positive relationship. The implementation of sustainable development focuses on three things, namely, the economic field, the social field, and the environmental field. The economic sector refers to the implementation of the green economy, the social sector which focuses on society 5.0 and the implementation of green logistics in the environmental field. In this era of society 5.0, sustainable development is a matter of great concern, not only providing short-term benefits but also considering the long-term impact on the environment and society. This research uses a qualitative method with descriptive literature search analysis, by collecting journals and other documents to help write this research. The purpose of this research is to analyze how green logistics supports the implementation of a green economy to realize sustainable development in the era of society 5.0. The results show that the implementation of green logistics is a form of realizing a green economy that supports sustainable development in the era of society 5.0. By implementing green logistics practices, it can reduce the increase in pollution, reduce carbon emissions, promote renewable energy, and social inclusion resulting from the logistics industry. This also boosts the improvement of the green economy and the role of society so that the impact on damage is reduced.

TEKNOLOGI GREEN ENERGY BIOSAM DAN BIO-SLURRY DARI SAMPAH ORGANIK

Suparni Setyowati Rahayu — 2024-11-23

This innovation has led to the development of the BIOSAM digester, which efficiently processes organic waste into renewable energy through an anaerobic process, producing high-quality biogas and bio-slurry as byproducts. Bio-slurry is a nutrient-rich sludge that serves as a high-quality organic fertilizer enriched with humus. It not only provides essential nutrients but also contains probiotic microbes that enhance soil fertility and health, improving the quality and yield of crops, vegetables, fruits, and plantation crops.Users need to understand proper reactor maintenance to ensure biogas production remains efficient, energy-saving, safe, and environmentally friendly. The processing of underutilized organic waste offers a solution to issues such as odor, air pollution, and health risks caused by waste burning. The BIOSAM digester is designed with state-of-the-art technology to process household organic waste using cow manure as a starter. This reactor has the potential to be utilized by various entities, such as village-owned enterprises (BumDes), the food industry, NGOs, and environmental CSR programs, enabling easy waste management, reduced operational costs, and increased productivity.Tests on liquid bio-slurry fertilizer have shown its potential for plants and livestock feed, with organic carbon content ranging from 0.08–0.62%, a C/N ratio of 0.16–22.85, pH levels of 7.4–8.2, and macro (N, P, K) and micro (Mn, Zn, Mo, B) nutrients that support plant growth and livestock health. Dried bio-slurry, with a dry matter content of 18.6–43.6%, ash content of 22–33.2%, crude protein of 10–12.6%, crude fiber of 27.8–35%, and energy of 3,035–3,284 Kcal/kg, shows great potential as livestock feed. Water quality tests in fish ponds indicate that using dried bio-slurry in feed does not affect water quality, reduces pollution risks, and improves fish farming efficiency.

PENGGUNAAN LARVA BLACK SOLDIER FLY UNTUK MEREDUKSI SAMPAH ORGANIK BUAH DAN SAYUR DENGAN MEMODIFIKASI UKURAN PAKAN DAN VARIASI SUHU

Elsandytia Umbu Sebu Talu Peka — 2024-11-23

Waste is a complex problem and is faced by all countries in the world, including Indonesia. One of the regions that contributes the largest amount of waste in Indonesia is the Special Region of Yogyakarta Province. The amount of waste produced by the people of Yogyakarta in 2022 will reach 313,245,20 tonnes with the largest amount of waste generated being organic waste amounting to 20,000,00 kg. One alternative that can be used to deal with waste problems is the use of black soldier fly (BSF) larvae. BSF larvae can reduce organic fruit and vegetable waste. This research aims to determine which feed size variations and temperature variations are effective for BSF larvae in reducing organic fruit and vegetable waste. The research method used is experimental. The object of this research is organic fruit and vegetable waste at Bantengan Market, Banguntapan. The subjects in this research were BSF larvae. The independent variables in this research are feed size and temperature. The feed sizes used in this research were 0,4 mm, 0,6 mm, 0,8 mm, 1 mm and 1,5 mm while the temperatures used were 27 oC and 33 oC and the dependent variable in this research was larval effectiveness. BSF in reducing organic waste. The data analysis method uses one-way ANOVA and waste reduction index (WRI) tests. The parameters in this research are feed size, amount of organic waste reduced, and temperature.The results of this research show that BSF larvae can reduce fruit and vegetable organic waste with a WRI value percentage of 73,8% at a temperature of 27 oC and 75% at a temperature of 33 oC. The variation in feed size that is effective for BSF larvae in reducing fruit and vegetable organic waste is feed size A (0,4 mm). The effective temperature variation for BSF larvae is 33 oC.

IDENTIFIKASI BENTUK DAN KELIMPAHAN MIKROPLASTIK PADA IKAN KAKAP PUTIH (Lates calcarifer) DAN IKAN KEMBUNG (Rastrelliger) DI PERAIRAN PANTAI DEPOK

Dinda Rana Pertiwi — 2024-11-23

Microplastics are plastic particles < 5 mm in size from large plastic fragments, industrial waste, and household products (microbeads). Some microplastics come from rivers that flow into ocean which can threaten marine biota and are vulnerable to consumption by marine organisms because they are considered foods. Microplastics have spread widely in Indonesia seas, one of which is Depok Beach, Yogyakarta. White snapper and mackerel are two types of fish often consumed by tourists and local people in the Depok Beach. This research aims to identify the form of microplastics and their content in mackerel and white snapper. This research method includes three stages, namely 1) taking samples of white snapper and mackerel from the fish's stomach, intestines and gills, 2) testing samples using the National Oceanic and Atmosphere Administration (NOAA) method for analyzing microplastics in the marine environment and FTIR to determine chemical compound groups in microplastics. The results of microscope observations showed that the forms of microplastics found in fish were fibers, fragments, pellets and films. For three months of data collection, the results of increasing microplastics in mackerel each month were 28.74% in fiber, 14.96% in fragment, 17.04% in film and 20% in pellet with the largest abundance value being 430 particles/gram in fragment. The results of increasing microplastics in white snapper each month were 5.93% in fiber, 20.84% in fragment, 27.60% in film and 29.41% in pellet with the largest abundance value being 248 particles/gram in fragment. The group of microplastic compounds found was propylene type plastic.

PEMANFAATAN LIMBAH DAUN NANAS SEBAGAI ALTERNATIF BAHAN BAKU CAMPURAN SERAT KAPAS UNTUK PEMBUATAN BENANG OE

Irham Aribowo — 2024-11-23

ABSTRACT

Pineapple is one of the plants that is widely grown on Indonesian plantations. From 2018 to 2022, total pineapple production in Indonesia was 2,149,733 tons yearly. Pineapples are not only used for the fruit but the pineapple leaves can be processed into something with higher economic value. One use of pineapple leaves is as an alternative raw material for textile thread. The process of making thread from pineapple begins with making pineapple fiber. Making pineapple fiber is done by extracting pineapple leaves, and then carrying out a traditional spinning process. In Indonesia, there is still no use of pineapple fiber as raw material for textile yarn in an industrial-scale production process. Therefore, this research aims to assess the suitability of pineapple fiber as a raw material for textiles. In this research, pineapple fiber was mixed with cotton fiber and the production effectiveness was observed. It was found that a mixture of pineapple fiber and cotton fiber with a composition of 45%:55% had the best effectiveness compared to fiber compositions of 14%:86% and 29%:71% with the lowest average number of broken threads, namely 16.33 in 60 minutes. However, the number of thread breaks is still relatively high so it is considered not yet effective or the OE thread production process is not yet running smoothly.

KONDISI KUALITAS SUNGAI BUKIT BATU DI KABUPATEN BENGKALIS

Zakiah — 2024-11-23

River water pollution in Bengkalis Regency, particularly in Bukit Batu River, has seen an increase in pollution levels that significantly affect water quality. This study aims to analyze the water quality and pollution load in Bukit Batu River, Bengkalis Regency, as well as to explore the socio-economic factors of the communities that depend on the river. Bukit Batu River plays an essential role in the local community's life, serving as a source of water for domestic and agricultural purposes, as well as supporting the fisheries sector. However, in recent years, the river's water quality has deteriorated significantly due to deforestation, land conversion for oil palm plantations, and pollution from domestic, agricultural, and industrial activities. This study employs a quantitative approach with methods including observation, in-depth interviews, and literature review. Water samples were collected at three observation points representing the upstream, midstream, and downstream sections of the river. The water quality data were analyzed and compared with the standards set in government regulations. The results show that in June and September 2024, the water quality of Bukit Batu River decreased, with parameters for BOD and COD exceeding the established quality standards. The increase in BOD and COD was primarily influenced by domestic waste, agricultural runoff, and weather factors such as high rainfall. In June, the water quality was slightly better due to clear weather, which reduced pollution activity, while in September, heavy rainfall increased the water flow, carrying pollutants into the river. The pollution load analysis indicated a rise in pollution in September, showing that water conditions change significantly depending on environmental factors and human activities around the river. The increased pollution load analysis suggests potential adverse impacts on the ecosystem and public health in the surrounding areas. This study is expected to provide recommendations for sustainable river management policies and to help maintain the water quality of Bukit Batu River within safe and healthy standards for both the ecosystem and local communities.

ALTERNATIF DALAM PENANGGULANGAN LIMBAH BAKO ROKOK BERUPA BUNGA HIASAN DINDING (ARTIFICIAL)

Indri Putriansyah — 2024-11-23

The potential for cigarette burnt waste in Massila Village is not utilized due to a lack of knowledge and skills of partners in processing cigarette burnt waste. As a result, the community, especially the Sipakainge Youth Organization Group in Massila Village, has not utilized cigarette waste and tends to just throw it away. Therefore, this community service program aims to maximize the potential of cigarette waste by processing it into artificial wall decoration flowers. This product has never been introduced by extension workers or other product innovations, especially in Bone Regency. Community empowerment through this service program is carried out through three main stages, namely counseling, training and mentoring. The results of this program show that partners are able to understand the benefits of processing cigarette waste and have the skills to turn it into artificial wall decoration flowers. Apart from that, partners have also succeeded in marketing products through the Marketplace with an increase in productivity of up to 99%. The impact of this service can realize sustainable development goals no. 3, namely healthy and prosperous villages.

ANALISIS UI/UX PADA DESAIN DETEKSI KEASLIAN TANDA TANGAN BERBASIS WEB MENGUNAKAN METODE UNMODERATED REMOTE USABILITY TESTING DAN USER EXPERIENCE QUESTIONNAIRE

I Wayan Julianta Pradnyana — 2024-11-23

Forgery or imitation of signatures poses a serious issue in everyday life and various official transactions, especially with manual verification methods that have many drawbacks, prompting the development of applications to address these limitations. Web-based signature authenticity detection offers advantages in saving time and reducing the risk of fraud. This study also emphasizes factors such as user-friendliness and personalized design to enhance the User Experience in web applications. Usability testing methods for User Interface (UI) and User Experience (UX), particularly the combination of Unmoderated Remote Usability Testing (URUT) and User Experience Questionnaire (UEQ), emerge as the best choice for analyzing UI/UX. Findings from the study involving 35 respondents give high ratings to aspects of Attractiveness, clarity, and Efficiency, although the Stimulation aspect requires special attention. The research results provide valuable insights for the improvement of digital signature detection applications, ensuring optimal User Experience and security in the digital era.

PERBANDINGAN PENGUKURAN TINGKAT KEPUASAN PENGGUNA TERHADAP WEBSITE DESAIN GRAFIS CANVA DAN VISTACREATE MENGGUNAKAN METODE IMPORTANCE PERFORMANCE ANALYSIS (IPA)

Asih Winantu — 2024-11-23

ABSTRACT

This study aims to make an analysis and comparison of the level of user satisfaction with two online graphic design platforms, Canva and VistaCreate, using the Importance Performance Analysis (IPA) method. The IPA method is used to evaluate the extent to which the performance of the two platforms meets the expectations and needs of users based on the attributes considered important. Data was collected through a survey of several users who had used both websites. 3 tests were carried out, including the conformity level test, the gap level test (GAP), and the quadrant level test. The study results show that both websites have not met the expectations of user satisfaction levels, even though the Canva website has a higher satisfaction value. Evaluation and improvement on both websites should be carried out continuously.

ANALISIS KINERJA JARINGAN SYARAF BERBASIS SKIP CONNECTION UNTUK KLASIFIKASI HAMA SERANGGA

Bayu Adhi Nugroho — 2024-11-23

Insect pests are a significant problem in food crop production. Identifying insects that threaten food crop production is an effort to overcome these pest problems. The proper identification process will be able to provide the right treatment solution according to the type of insect that is the problem. Artificial intelligence is a technology-based solution for more accurate identification, where human fatigue will likely cause identification errors. Artificial neural networks are algorithms in artificial intelligence capable of carrying out image-based classification tasks. Skip Connection is a layer in an artificial neural network that can improve the performance of a convolutional-type artificial neural network (CNN). DenseNet121 and ResNet50 are two CNN architectures that are pretty popular. Both have a Skip Connection layer with different variations. This research explores and analyzes the performance of two different Skip Connection architectures, DenseNet 121 and ResNet50, in handling insect pest image classification. The results were obtained using two different insect pest image datasets. DenseNet121 has a better performance than ResNet50. Using the balanced accuracy score metric, the performance of DenseNet121 versus ResNet50 is 0.6361:0.5053 and 0.8598:0.7017. The difference in the performance of Skip Connection on DenseNet121 compared to ResNet50 is ± 10% better in the image classification of two insect pest datasets.

DETEKSI PENYAKIT DIABETES RETINOPATHY MENGGUNAKAN CITRA DIGITAL DENGAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)

Nurohman — 2024-11-23

Diabetic retinopathy (DR) is a serious complication of diabetes that can lead to blindness if not detected and treated early. Conventional screening methods involve fundus examination by trained medical personnel, which is time-consuming and costly. This study proposes an automated detection approach for diabetic retinopathy using digital fundus images and Convolutional Neural Network (CNN) methods. CNN, a deep learning architecture, is utilized to automatically learn and extract features from retinal fundus images. The dataset used for detection and classification consists of 5 classes: mild, moderate, no_DR, proliferative, and severe. The image training process employs the VGG-19 model trained for 100 epochs, achieving a commendable accuracy of 72% with a dataset of 3000 fundus images split into a 70:30 ratio for training and validation (70% for training, 30% for validation). The diagnosis results include 2160 images classified as DR and 840 images classified as NDR. Training with an 80:20 data split (80% for training, 20% for validation) yielded an accuracy of 69%, with 2070 images diagnosed as DR and 930 images as NDR.

PENERAPAN KOMUNIKASI EFEKTIF DI ERA TEKNOLOGI INFORMASI UNTUK MENINGKATKAN PEMBELAJARAN

Siti Saudah — 2024-11-23

Effective communication has an important role in the learning process, especially in the era of information technology advancements. This study aimed to explore the application of effective communication, its urgency, and its benefits in the learning process in the era of information technology. The method used in this study was a qualitative descriptive method, a method for observing activities in the learning process by using data presentation, interpreting the data, and then drawing conclusions. Data collection was carried out using interviews and participatory observation techniques. The subjects of the study were English lecturers and 28 students of the Statistical and Computer Systems Engineering departments of AKPRIND University of Indonesia who take the English course in the first semester of the academic year 2024/2025. The data analysis used is qualitative descriptive analysis with the following steps: data from the interview were interpreted directly, while the results of the questionnaire and observations were interpreted using qualitative descriptive analysis. The results of the study show that: 1) the application of effective communication is very important in the learning process, especially in conveying messages to students. 2) Information technology supports the learning process as a means of realizing effective communication through online platforms and communication applications. 3) The benefits of effective communication in the learning process are as follows: increasing students’ activeness in the learning process, developing students' social skills, creating a positive learning atmosphere, increasing learning motivation, and building harmonious relationships between lecturers and students.

SISTEM PAKAR DIAGNOSA PENYAKIT PADA TANAMAN JAGUNG MENGGUNAKAN METODE FORWARD CHAINING

Asep Afandi — 2024-11-23

The development of information technology has had a significant impact in the field of agribusiness, often cultivators have difficulty in caring for it. In Trimodadi village, most of the people have not been trained to handle corn plant diseases, so that if they experience symptoms of the disease faced by the community, they may not necessarily know how to deal with it. The Expert System will act like an expert. The system will provide a list of symptoms until it can identify an object based on the answers it receives. So the system will provide a list of symptoms until it can identify an object based on the answers received by looking at the symptoms experienced by the user, and later this Expert System can explain and diagnose whether the user is affected by downy mildew, leaf spot, leaf blight, rust, midrib rot, stem rot, cob rot, and maize dwarf mosaic virus. The method used in this research is Forward Chaining, which is a search method or forward tracking technique and combining rules to produce a conclusion or goal. The results of this study have created an application program in the form of software that can be used to diagnose corn plant diseases using the Forward Chaining method. The system can determine the disease by way of diagnosis, namely answering questions in the form of symptoms that are in accordance with what is experienced in corn plants, after making a diagnosis it will get results in the form of types of diseases and their remedies.

PENGEMBANGAN WEB COMMERCE PADA BANDENG PRESTO DURI LUNAK BU YUWONO

Toga Aldila Cinderatama — 2024-11-23

Bandeng Presto Duri Lunak Bu Yuwono currently markets its products using conventional methods, specifically through WhatsApp status updates, which limits its reach. Therefore, the development of an E-Commerce website is necessary. This study aims to develop the Bandeng Presto Bu Yuwono E-Commerce Website to improve transaction management and marketing convenience for the Bandeng Presto Bu Yuwono MSME located at Jl. Sudanco Supriyadi Gg. DKK No.10, Mojoroto, Kec. Mojoroto, Kediri City, East Java. The website features two main activities: the ordering process for customers and the order recording process for administrators. The system development method used is the waterfall model, resulting in a web commerce platform integrated with a transaction recording module built using PHP and a MySQL database. The results show the successful design and development of the Bandeng Presto Duri Lunak Bu Yuwono web commerce, which has positively impacted the marketing and sales of its products.

IMPLEMENTASI ALGORTIMA GENETIKA UNTUK OPTIMALISASI RUTE PENGIRIMAN PESANAN DI RESTO PAK LANJAR SLEMAN

Anang Hidayat — 2024-11-23

Multi-destination travel is one of the problems in the Traveling Salesman Problem (TSP), which has a large problem space if solved combinatorially. This study aims to design and implement a Genetic Algorithm model to provide route recommendations for order deliveries at Resto Pak Lanjar, Sleman. The proposed Genetic Algorithm takes into account both symmetric and asymmetric distances. The route recommendations consider not only the distance but also the travel time, which is obtained using Google Maps API. The encoding scheme uses permutation encoding, parent selection is done through roulette-wheel selection, with order crossover as the crossover method and swap mutation as the mutation method. The algorithm also ensures that the best individual from a given generation is not lost during the evolutionary process. This study fills the gap in the literature, especially in applying Genetic Algorithms for route optimization in small restaurants by considering both time and distance factors. The experimental results show that for fewer than 8 objects, the optimal population size consists of 30 individuals, while for more than 8 objects, the optimal population size consists of 180 individuals. The stopping criterion is set when the highest fitness value remains unchanged for 30 consecutive generations. The optimal combination of crossover and mutation probabilities is {0.5:0.5}.

SISTEM PAKAR UNTUK MENDUKUNG POLA MAKAN PENDERITA DIABETES MELITUS TIPE 2

Nabila Febriyanti Valentin — 2024-11-23

In Indonesia, the number of people with Type 2 Diabetes Mellitus continues to increase, often experiencing difficulties in managing their diet due to limited time and access to nutritionists. This worsens health and increases the risk of serious complications such as kidney failure and heart disease. To solve this problem, a web-based expert sistem using the Certainty Factor (CF) method was developed. This method is effective in handling uncertainty in medical diagnosis. By collecting the user's health data, such as height, weight, physical activity, blood sugar level, and stress level, the sistem calculates the certainty to provide personalized dietary recommendations.

This research went through several stages, namely Problem Formulation, Sistem Design, Implementation, Evaluation, and Feedback Collection. Problem formulation is done by identifying the challenges and needs faced by people with type 2 diabetes mellitus in choosing a healthy diet. The next stage is sistem development that starts with the design stage, where an initial prototype is created. The next stage is the implementation of the sistem in a real environment. At this stage, data is collected from users who use the sistem to get the right dietary recommendations. In the next stage, feedback from users is collected to identify weaknesses and areas that need improvement.

Results indicate that the CF method effectively provides accurate and accessible dietary recommendations, helping maintain stable blood sugar levels and reduce complication risks. Despite the lack of formal testing, the sistem shows significant potential to enhance the quality of life for diabetes patients.

ANALISIS SENTIMEN MENGGUNAKAN NBC DAN SVM UNTUK MENGETAHUI RESPON TERHADAP KINERJA PRESIDEN MELALUI MEDIA INSTAGRAM

Amir Hamzah — 2024-11-23

The president's performance can be revealed through the public's response to various presidential programs in the economic or industrial sector which are uploaded on the President's official Instagram media. The public's response to each uploaded post is interesting data to analyze. This research aims to conduct sentiment analysis of the public's response to the president's performance, by uploading the president's activities on Instagram using the Naive Bayes Classifier (NBC) and Support Vector Machine (SVM) methods. A total of 18,660 responses to the President's 5 Instagram posts on economic and industrial activities between March and September 2024. The data was then filtered to just 15,306 comments which were determined as a dataset. Dataset labeling before classification is carried out using the lexicon based method. The research results show that sentiment towards the president's performance is 28.3% positive, 36.8% neutral and 34.9% negative. Meanwhile, the NBC and SVM classification results obtained showed an accuracy of 68.7%, precision of 68.5%, recall of 67.8% and F1-score of 68.2% for the NBC algorithm. The SVM algorithm produces an accuracy of 80.5%, a precision value of 80.5%, a recall value of 79.6%, and an F1-score value of 79.6%. It can be seen that the SVM algorithm is superior to the NBC algorithm in all classification parameters. From several training and testing compositions, it was also found that the best composition was the 70:30 composition.

MEDIA PEMBELAJARAN APLIKASI GAME PUZZLE UNTUK ANAK USIA DINI BERBASIS ANDROID

Romadon — 2024-11-23

In children aged 3-5 years have various basic potentials that need to be developed. The basic potential is generally divided into two, namely behavior and basic abilities. The development of this basic potential is the foundation for children to be able to live their next life better. So it takes a learning media while playing using a smartphone, namely the Cartoon Bus Puzzle Game. The Cartoon Bus Puzzle Game application uses the C # (C sharp) programming language which can be used on Android-based devices with the help of the SDK and JDK programs. The final result of this study is to produce a Cartoon Bus puzzle game as a means of entertainment that can also be a learning tool that can influence the development of cognitive abilities in children involving devices such as Android-based smartphones.

ANALISIS DAN PERANCANGAN SISTEM PAKAR BERBASIS WEB DALAM MENDIAGNOSA JENIS PENYAKIT KULIT WAJAH MENGGUNAKAN METODE CERTAINTY FACTOR

Siti Aisah — 2024-11-23

Health science continues to develop along with advances in technology, research, and increasingly in-depth scientific understanding. This development includes not only the diagnosis and treatment of diseases, but also improving prevention and overall health management. One of the conditions that is often encountered is skin disease, the symptoms of which can vary from mild to severe. The causes of skin disease vary, including poor hygiene, exposure to hazardous substances, infections, and immune disorders such as allergies. Some people consider skin care unimportant until disturbing physical symptoms appear, such as rashes, itching, or redness. Constraints such as limited doctor's practice hours, distance, and consultation costs also make people need alternative solutions for initial diagnosis. System testing was carried out by comparing the diagnosis results from the expert system with the diagnosis given by medical personnel. The test results showed that the system can provide a fairly accurate diagnosis, with a low error rate. The certainty factor method allows the system to provide predictions based on uncertainty in the answers or symptoms given. This system is expected to be an efficient solution for diagnosing facial skin diseases, helping people get initial information without having to consult a doctor directly, and supporting cost and time efficiency. Based on testing using symptom data entered by users, it shows that the system is able to provide accurate diagnosis with a success rate of 85%, while the error rate is only around 15%. This study focuses on skin diseases such as acne vulgaris, premature aging, rosacea, and dermatitis. The results of this study are expected to support the community in understanding and overcoming facial skin health problems and increasing the use of technology in web-based health services.

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMILIHAN CALON KEPALA DESA MENGGUNAKAN METODE COMPOSITE PERFORMANCE INDEX (CPI)

Akni Widiyastuti — 2024-11-23

Selection of village head candidates is an important process in determining leaders who are able to take the village in a better direction. In this process, a system is needed that can support decision making objectively and efficiently. The Decision Support System (DSS) is a solution that can be used to assist related parties in assessing and selecting village head candidates based on predetermined criteria. The Composite Performance Index (CPI) method was chosen because of its ability to combine various assessment criteria into one comprehensive index. CPI allows comparisons between village head candidates based on scores resulting from a combination of these criteria. This research aims to design and implement SPK using the CPI method in the process of determining the most suitable village head candidate. The results of this research show that the CPI method can provide more accurate and objective results in determining the best candidate for village head, as well as simplifying the decision-making process for interested parties. Thus, it is hoped that this system can be an effective tool in the village head election process in the future.

PENERAPAN METODE K-MEANS UNTUK MENGELOMPOKKAN REKAM MEDIS PASIEN BERDASARKAN DIAGNOSA PENYAKIT GUNA MENENTUKAN DIAGNOSA TERTINGGI PADA SUATU PERIODE (Study Kasus : Klinik Dokter Kita)

Pendi Supratman — 2024-11-23

The development of information technology in the digital era has driven major transformation in the health sector, especially in data management. One technique that plays an important role is data mining, which allows the discovery of hidden patterns and complex relationships in large amounts of data. This technique is very relevant for patient data analysis and disease diagnosis, especially in grouping patients based on disease type in order to understand distribution patterns and carry out more appropriate interventions. The K-Means method is an algorithm that is often used in the data grouping process, which allows identifying groups of patients with similar characteristics and helps determine the dominant disease in a certain period. At Our Doctor's Clinic, patient data continues to increase, but management is still manual so it is not optimal for in-depth analysis. The current grouping process based on disease diagnosis is general and makes it difficult for management to identify diseases that frequently appear in a certain period, which has an impact on difficulties in making strategic decisions. Therefore, This research applies the K-Means clustering method and RapidMiner Studio software version 10.2. with the aim of automating patient grouping based on diagnosis. The data used is patient data for 2023 which consists of 966 patients with a total of 1609 controls with 20 types of disease. The results of the research show that there are three groups of disease diagnoses that occur frequently (highly dominant) and therefore require careful attention, namely the diagnosis of Grastitis, the diagnosis of ISPA and the diagnosis of Myalgia. Through this analysis, it is hoped that clinics can identify dominant diseases, understand distribution patterns, and increase the effectiveness of drug procurement planning and resource allocation. The results of this clustering are also expected to provide a basis for predicting future disease trends, allowing clinics to take preventive measures more proactively. Thus, it is hoped that the K-Means method can improve the quality of health services at Our Doctor's Clinic, make data-based decision making easier, and provide faster and more precise treatment for patients.

IMPLEMENTASI METODE SCRUM UNTUK RANCANG BANGUN APLIKASI MANAJEMEN KEUANGAN UMKM

Muhammad Fajrul Khaq — 2024-11-23

Micro, small and medium enterprises (MSMEs) have a huge contribution to economic growth, but currently MSMEs also face many problems including digital marketing, decreased revenue, legality or licensing and loss of product demand. One of the most common problems faced is financial management. This happens because MSME players are less aware and do not consider the role of recording and bookkeeping important because their main priority is to make a profit. In addition, the lack of knowledge of accounting makes MSME actors even less interested in applying accounting or bookkeeping. Even though an important factor in conducting business development is bookkeeping. Technology-based financial management records are still very rarely found, especially in medium to low-scale business activities or what is often called Micro, Small and Medium Enterprises (MSMEs). Therefore, an accounting software is needed that is easy to understand and in accordance with the needs of the scale of MSME operations. In designing this financial management application, using the Scrum method to ensure effective collaboration, quickly identify and resolve obstacles, and increase productivity and efficiency during the development process. The results of testing the application using a black box are declared 100% appropriate and each feature functions properly. Then based on the results of UEQ (User Experience Questionnaire) testing, the application gets a positive impression from users having a value above 0.8 so that the UMKM financial management application is suitable for use.

PENGEMBANGAN APLIKASI MANAJEMEN ARSIP SURAT BERBASIS WEB MENGGUNAKAN METODE RAD

A. Arwini Tri Lestari — 2024-11-23

The problem of SMAN 16 Bulukumba is in the management of mail archives that still use manual methods, so that they become inefficient and prone to errors, such as losing documents or irregular storage. Difficulties in finding the required documents slow down the performance of school administration and reduce the effectiveness of archive management. To overcome these problems, this study will develop a web-based mail archive management system to improve its efficiency and accuracy. The Rapid Application Development (RAD) method will be implemented in the development of a website-based mail archive management application for SMAN 16 Bulukumba. The RAD method was chosen because of its excellence in speeding up the software development process and its ability to tailor the product to the specific needs of the user. The development process is carried out iteratively and collaboratively, involving users to provide feedback that is immediately integrated into the improvement of the application. The results of this implementation show that the website- based mail archive management application developed is able to increase efficiency in mail archive management. Features such as digital recording, storage, searching, and archiving of letters make the school administration process easier. The intuitive interface and easy-to-understand navigation also make it easier for users to operate the application. Overall, this application has successfully overcome the challenges faced in managing the mail archive at SMAN 16 Bulukumba, so that the administrative process becomes more efficient and accurate.

KLASIFIKASI PENERIMA PROGRAM KELUARGA HARAPAN MENGGUNAKAN METODE RANDOM FOREST PADA KELURAHAN 13 ULU SEBERANG ULU DUA PALEMBANG

Agung Nasrullah — 2024-11-23

The Family Hope Program (Program Keluarga Harapan, PKH) is a social assistance program aimed at helping poor and vulnerable families. This program is provided to families registered in the Unified Database for Social Welfare (DTKS) and meet certain criteria, such as having school-aged children, toddlers, pregnant women, or elderly members. In its implementation, PKH distribution often faces challenges, such as inaccurate targeting and insufficiently detailed data on poor families. Therefore, this research aims to classify PKH beneficiaries in 13 Ulu Village, Seberang Ulu II District, Palembang, to ensure that social assistance is given to those who truly meet the eligibility criteria. The method used in this research is the Random Forest method, which involves several stages. These stages include Data Preprocessing, Data Splitting, Random Forest Method Implementation, and Evaluation. Several attributes used in this research include House Ownership, Number of Children, School-Aged Children, Toddlers, Pregnant Women, Elderly, Occupation, and Income, with the target attribute being PKH eligibility. In this research, 117 datasets were used, which had gone through the Preprocessing stage. The data was then split with a 70:30 ratio for training and testing, resulting in an accuracy of 97%, precision of 96%, recall of 100%, and an F1-Score of 98%. These results indicate that the Random Forest method is quite effective in accurately classifying PKH beneficiaries.

IMPLEMENTASI SISTEM MANAJEMEN EVENT TERINTEGRASI UNTUK MENINGKATKAN EFEKTIVITAS KEGIATAN ORGANISASI MAHASISWA

Eko Riswanto — 2024-11-23

Effective event management is a major challenge for student organizations, particularly in terms of coordination, scheduling, and activity reporting. To address this issue, this study aims to develop and implement an integrated web-based event management system, with a case study on student organizations at STMIK El Rahma Yogyakarta, including the Student Executive Board (BEM), Study Program Student Associations (HMP), and Student Activity Units (UKM). Using the Rapid Application Development (RAD) approach, the system was designed with active user involvement in requirement gathering, prototyping, development, and iterative testing. Evaluation results showed that 75% of respondents were highly satisfied, and 20% were satisfied with the system's ease of use, effectiveness, and reliability, proving its ability to increase efficiency in organizational activity management. The implications of this study indicate that the RAD approach can produce systems that are adaptive to user needs and relevant for application in similar institutional contexts.

PENYEIMBANGAN DATA PADA KLASIFIKASI DENGAN SUPPORT VECTOR MACHINE TERHADAP DATA PEMBAYARAN PINJAMAN BANK

Delvin Wang — 2024-11-23

Loan default in banking can cause losses. Therefore, lenders need to predict the criteria of customers who fail to pay their loans. In this study, a classification model was built to predict customers who fail to pay bank loans by applying the Support Vector Machine algorithm, especially with the Radial Basis Function (RBF) kernel. Because the occurrence of default is not balanced with the occurrence of smooth payments, a data balancing process was carried out. This study also compared the effect of data balancing methods using Random Over Sampling and Near Miss techniques on the performance of the SVM algorithm. The dataset used is the Loan Default Prediction Dataset taken from the kaggle site, which consists of 255,347 records and 18 attributes. The results showed that the SVM model trained without data balancing had the highest accuracy of 88.49%, but with a recall of only 10% and an F1-score of 17%. After using ROS, the model accuracy decreased slightly to 83.52%, but the recall increased significantly to 94% and the F1-score to 89%. With Near Miss, the model accuracy drops further by 65.29%, but produces better precision and recall compared to without balancing. It can be concluded that balancing with ROS provides the best performance in terms of the balance between precision and recall, as seen from the highest F1-score value among the three methods.

MODEL FORECASTING TREN KUNJUNGAN WISATAWAN DI DIY MENGGUNAKAN REGRESI LOGISTIK BINER

Erma Susanti — 2024-11-23

The Special Region of Yogyakarta (DIY) is a province that has special features in terms of arts and culture, nature, culinary, shopping, and other tourism. Visits by both foreign and domestic tourists to DIY before the COVID pandemic and after the pandemic have fluctuated. The many choices of tourist attractions in DIY attract tourists to come. An increase or decrease in the number of tourists can affect various aspects of people's lives. An increase in tourist visits will affect congestion and traffic on the highway, while a decrease in the number of visits can affect regional income and the income of people who depend on tourism for their livelihood. In addition, the increase in the number of tourists also needs to be anticipated by the government to provide road infrastructure, buildings, city planning, traffic order, waste management, and so on. The existence of a forecasting model that can predict future tourist visits can help stakeholders make decisions to handle problems related to the impact of tourism on the community and to improve the governance of tourist visits. The use of a binary logistic regression algorithm in this case is used to predict the trend of an increasing or decreasing number of tourists for the next two years until 2026. Historical data of tourist visits from 2018 to 2024 from BPS is used for this study. The forecasting results show an increase in tourist visits in June 2025 and 2026. The evaluation results show the accuracy, precision, recall, and f1-score values of 1.0 (for the range 0-1). These results indicate that the forecasting model has a very good accuracy value.

PENGENALAN BIBIT PEPAYA CALIFORNIA MENGGUNAKAN TEKSTUR URAT DAUN DENGAN METODE JST-PB DAN GLCM

Rohman Miansyah — 2024-11-23

California papaya plants have three sex types: female, male and perfect. Early identification of the sex of papaya plants is very important to improve production efficiency. However, this process is difficult to do because sex characteristics only appear 4-6 months after flowering. This study aims to identify California papaya seedlings as male or female by analyzing the texture of leaf veins using the Back Propagation Artificial Neural Network (JST-PB) method and Gray Level Co-occurrence Matrix (GLCM). The JST-PB method is used to model complex patterns, while GLCM measures the spatial distribution of pixel intensity in leaf images. The dataset consists of 300 images of young California papaya leaves, with the number of each class as follows: 100 images for the female class, 100 images for the male class, and 100 images for the perfect class. All images were cropped to 200x200 pixels, focusing on young leaves, while old or dry leaves were not used. The results showed that the JST-PB method was able to achieve an overall accuracy rate of 71% in California papaya sex recognition. The accuracy for female papaya reached 76%, while that for male papaya was 66%. However, further testing showed that the perfect class could not be identified significantly, so this study concludes that two-class classification (female and male) is more reliable than three-class classification.These findings suggest that JST-PB has potential in California papaya sex recognition and classification, although improvements are needed especially in male papaya identification. Further research is recommended to increase the amount of training data, explore variations in JST architecture, and use different cross-validation methods or test datasets.

PENERAPAN DEEP LEARNING DALAM SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS DAMPAK PERUBAHAN IKLIM

Edi Iskandar — 2024-11-23

Climate change is increasingly contributing to the frequency and intensity of natural disasters, especially in archipelagic countries like Indonesia. This study aims to develop a predictive model for disaster risk levels using deep learning with climate and geographical variables. The simulated data includes variables such as average temperature, precipitation, humidity, wind speed, elevation, land cover type, and population density. The model was designed to classify disaster risk into four categories: no risk, low risk, moderate risk, and high risk. Data preprocessing involved normalization and an 80:20 train-test split. The model was trained using the Adam optimization algorithm with activation functions suitable for multi-class classification. Evaluation results show that the model can accurately predict disaster risk levels. This study demonstrates that simulated data can effectively support disaster risk prediction when observational data is limited. With further development using more comprehensive data, this model has the potential to be implemented in an early warning system to support decision-making in climate change mitigation in Indonesia.

PENGARUH IMPLEMENTASI SISTEM POINT-OF-SALE (POS) BERBASIS CLOUD TERHADAP PENINGKATAN LAYANAN PELANGGAN

Ivan Jaka Perdana — 2024-11-23

The advancement of cloud computing technology has transformed the retail industry landscape, particularly through the adoption of cloud-based Point-of-Sale (POS) systems. This system not only simplifies store operations management but is also believed to improve the quality of customer service. However, studies that directly measure the impact of cloud-based POS implementation on customer experience and satisfaction remain limited. This study aims to explore the influence of cloud-based POS technology on enhancing customer service in the retail sector in Indonesia. This research employs a quantitative approach with a survey method. Data were collected from 100 respondents consisting of customers and retail store managers who have been using cloud-based POS systems for over a year. Data analysis was conducted using simple linear regression to determine the relationship between cloud-based POS system implementation (independent variable) and customer service improvement (dependent variable). The results show that the implementation of a cloud-based POS system has a significant and positive impact on improving customer service. The regression coefficient of 0.765 indicates that each improvement in cloud-based POS implementation contributes to an increase in customer service quality, including transaction speed, product information accuracy, and service personalization. An R-squared value of 63.4% indicates that most of the variation in customer service improvement can be explained by the use of cloud-based POS. This research makes a new contribution by demonstrating that cloud-based POS technology not only enhances operational efficiency but also significantly improves the quality of interaction and customer satisfaction. These findings can serve as a reference for retail industry players in adopting cloud-based POS technology as a strategy to enhance customer service and business competitiveness.

INTEGRASI METODE SCRUM DAN DEVOPS PADA PENGEMBANGAN SISTEM INFORMASI UKM MULTIMEDIA AISKA UNIVERSITY

Irfan Sadida — 2024-11-23

The increasing need for information systems by organizations, especially in managing resources efficiently, drives the importance of implementing effective software development methods. This research discusses the integration of the Scrum method and the DevOps method in a web-based information system development project for multimedia SMEs at Aiska University (MUSKA). This integration aims to utilize the advantages of the Scrum and DevOps methods to optimize the information system development process. The integration of the two methods is assessed through team performance, by identifying the benefits and challenges faced in its implementation. This research shows that collaboration between Scrum and DevOps results in a more effective and reliable development process, because each method complements each other in overcoming MUSKA system development challenges. Projects can be managed more systematically, and automation allows for faster responses to changes and increased quality of the final output. The evaluation of this research shows that further optimization of the roles and functions of each team member requires an increase in project resources, both in terms of adding team members and using more advanced technology. These findings provide recommendations for future development, especially for large-scale information system development projects.

KLASIFIKASI STATUS PENGAJUAN KPR RUMAH SEDERHANA MENGGUNAKAN ALGORITMA RANDOM FOREST

Raksi Andika — 2024-11-23

The property industry has a strategic role in supporting economic growth, especially through Home Ownership Credit (KPR) financing which enables people to own housing. In big cities in Indonesia, various property developers are innovating to meet the demand for modern, affordable housing, but some of them are facing obstacles in the KPR feasibility evaluation process. Developers experience difficulties in managing the eligibility selection process, because inaccurate analysis can make consumers disappointed after paying the down payment (DP) if their KPR application is ultimately rejected. This research aims to classify the status of consumer mortgage applications, with historical data of 969 samples covering previous projects, which contains features such as consumer income, number of dependents, employment, credit history, and type of property being applied for, as well as 1 status feature which states the results of the application. The Random Forest algorithm is used to produce a KPR status classification model into three main categories: Contract, Reject Bank, and Reject Customer. Based on model evaluation using the average multiclass matrix, this model achieved 99% accuracy, with an average precision, recall and f1-score of 98%, which shows this model is very effective in identifying and classifying the three categories of KPR status.

RANCANG BANGUN SISTEM POINT OF SALE (POS) BERBASIS WEBSITE DENGAN METODE WATERFALL PADA TOKO NANS BEAUTY TOILI

Ali Givahri — 2024-11-23

In the era of digitalization and technological advancement, one sector experiencing significant change is the trade industry, including retail stores. These stores face challenges in managing transactions, inventory, and other operational aspects efficiently and accurately. Most retail stores use cash registers or record transactions manually. This is also a challenge at Nans Beauty Toili Store, with issues like difficulties in inventory input, slow transaction processing during busy times, and frequent errors in sales reporting and reconciliation. Technological advancements have highlighted the limitations of conventional cash registers, which only record and calculate transactions. As a result, new developments have emerged, such as Point of Sale (POS) software. POS can be defined as software that facilitates recording and transactions within a company. Therefore, this study aims to design a web-based POS system to improve efficiency, accuracy, and customer experience in transaction processing and inventory management. The research methods used include the waterfall method for system design and Blackbox Testing for system testing. The results show that the POS system at Nans Beauty Toili Store has restricted user access roles—Administrator, Supervisor, and Operator (cashier)—to meet specific user needs. Based on Blackbox Testing across eight parameters from login to logout, the system operates in line with the designed specifications.

SISTEM PENGENALAN WAJAH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN)

Erfanti Fatkhiyah — 2024-11-23

The use of passwords is common in digital security and verification systems, but it is still vulnerable to manipulation, hacking, and theft. Alternative methods that can be done such as facial recognition have begun to be used, because facial features are difficult to fake, stable throughout life, and unique to each individual. Facial recognition can be done using various methods, one of which is using Convolutional Neural Network (CNN). CNN is a modern method based on deep learning that offers higher accuracy and processing speed, but requires greater computing resources. This study uses the CNN method to recognize faces in digital security and verification systems, with a dataset from the Yale Face Database, which contains 560 black and white facial images from 28 different subjects with varying formal expressions and lighting conditions, divided into 80% training data (448 images) and 20% testing data (112 images). The results of the study using the CNN method showed that its performance was quite good in terms of computational time efficiency for facial recognition. From the test results, it can be seen that CNN has a level of facial recognition accuracy, which is 98.6607%, in addition, the computation time for the CNN algorithm is quite fast, with a speed of 0.0030 seconds per image. This shows the superiority of CNN in capturing complex features of facial images and efficiency in data processing. However, it should be noted that the CNN algorithm requires quite a lot of computing resources.

ANALISA MALWARE PADA TRAFFIC JARINGAN BERBASIS POLA LALU LINTAS DATA MENGGUNAKAN METODE ANOMALY

Jian Malik Hidayat — 2024-11-23

Network security is a major challenge in the era of increasingly rapid digitalization. PDF files, which are widely used for sharing information, are often exploited by cybercriminals to insert malware. This research aims to analyze the impact of malware in PDF files on network traffic using Wireshark software. With a traffic pattern-based approach and anomaly detection, this research identifies malicious activities such as connections to servers, data exfiltration, traffic spikes, and the use of obfuscation techniques.

The malware in the PDF file shows suspicious traffic patterns that include increased volume of outgoing data, and repeated data packets to certain destinations. Additionally, these activities cause significant disruption to network performance, open security gaps, and increase the risk of sensitive data leakage. Wireshark is used to capture, analyze and identify traffic anomalies in real-time.

The research results show that pattern and anomaly-based analysis using Wireshark effectively improves the accuracy of PDF malware detection at the network level. These findings support the importance of applying traffic analysis methods to detect hidden cyber threats. In addition, this research makes an important contribution to the development of network analysis-based cyber attack mitigation strategies, helping organizations respond to threats more quickly and reduce potential losses. With this approach, network security can be strengthened to deal with evolving threats.

PENGEMBANGAN SISTEM PENGUKUR PAKAIAN BERBASIS PENGOLAHAN CITRA DIGITAL

Wilda Murti — 2024-11-23

The garment manufacturing industry is known for its complex production processes and heavy reliance on labor. The demand for high product quality makes quality control an essential step. In vocational education, where students are prepared to become competent workers, it is crucial for instructors to evaluate garments produced by students in a manner consistent with industry standards. However, a common challenge is the difficulty of measuring the dimensions of student-produced garments, often constrained by limited time and workforce. The number of garments produced by students frequently exceeds three times the number of students, leaving instructors overwhelmed during measurements. Garment dimension measurements can only be conducted in the garment workshop during practical sessions, as the garments cannot be taken elsewhere for evaluation. This limitation reduces flexibility and impacts the quality of education, which should provide comprehensive feedback on students’s work. To address this issue, a garment measurement system based on digital image processing has been developed as an alternative evaluation method. This system has been validated using two-way ANOVA testing, demonstrating no significant differences compared to manual measurement methods, with a 95% confidence level. Additionally, the system proves to be more efficient, saving 20–30 seconds per measurement compared to manual methods. Furthermore, a survey of 32 respondents shows positive feedback on this system.

PENERAPAN METODE WEIGHTED PRODUCT UNTUK PENENTUAN PELUANG BISNIS KULINER YANG TEPAT DI PADANGAN

Adhika Pramita Widyassari — 2024-11-23

Padangan is one of the sub-districts in Bojonegoro Regency where the majority of the people's livelihoods are trading, especially in the culinary business. However, the types of culinary businesses that exist today are very diverse, making it difficult to determine the right type of culinary business. Therefore, a Decision Support System (DSS) is needed to help business actors so that they do not make mistakes in determining the type of culinary business. The DSS method used in this study is Weighted Product (WP) because it can choose the best alternative based on criteria through ranking. The criteria for determining the right type of culinary business include initial capital, number of competitors, number of enthusiasts, number of human resources needed, level of difficulty (process time), and number of variations. Method testing was carried out on 23 alternative types of culinary businesses in Padangan. The test results showed that the top 3 types of culinary that are right in Padangan are Traditional Herbal Medicine, Bread and Cakes, and Fried Food with the highest alternative preference value of 0.06701506 so that "Traditional Herbal Medicine" is used as an alternative culinary business that has the best opportunities in the Padangan area.

ANALISIS PERBANDINGAN ALGORITMA MACHINE LEARNING KLASIFIKASI UNTUK DETEKSI TINGKAT KEGANASAN PENYAKIT KANKER PAYUDARA

Muhammad Raffi — 2024-11-23

This research focuses on implementing Machine Learning (ML), an Artificial Intelligence (AI) branch, to enhance breast cancer detection. The Synthetic Minority Over-sampling Technique (SMOTE) method is implemented for the first time in this study. The research compares various ML algorithms to improve the accuracy and efficiency of diagnosing the malignancy level of breast cancer, using the Wisconsin Breast Cancer dataset. Support Vector Machine (SVM) is identified as the best-performing algorithm, demonstrating high accuracy, a high Area Under the Curve (AUC), and good precision. Experimental results show the highest accuracy with an AUC value close to perfection (0.99). Furthermore, the identification of 10 factors causing breast cancer malignancy provides valuable insights. Despite contributing significantly to developing more effective detection methods, the research has two main limitations: reliance on a single dataset and the potential for expanding experiments by testing more classification algorithms. In conclusion, this study supports efforts for more effective breast cancer detection, hoping its findings can be applied more broadly.

MENGADOPSI KODE OTP UNTUK MEMVERIFIKASI AKUN APLIKASI WHATSAPP DAN EMAIL

Miftah Farid — 2024-11-23

Usernames and passwords as authentication requirements for a system that are used repeatedly can make account security on that system vulnerable to data theft. Digital application access security is increasingly important, especially with the increase in cyber-attacks against login systems that use statistical passwords. One-Time Password (OTP) is one of the popular security solutions to enhance the login verification layer. This research aims to implement an OTP system on the WhatsApp and email applications as an authentication method. The method used is through experimental web-based application development by sending WhatsApp OTP and email and users are required to verify their identity using the code. Testing was carried out on 10 users by dividing them into two groups who received authentication via WhatsApp and email. The research results show that implementing OTP has succeeded in reducing the risk of unauthorized access by up to 80%. Thus, it is hoped that the use of OTP will effectively increase the security of the login process without involving the user. Thus, it is hoped that this research can contribute to better passcode security.

TRANSFORMASI DIGITAL PEMBELAJARAN POLA MANUAL: APLIKASI PANDUAN POLA DASAR BERBASIS TECHNICAL PACK

Reski Alya Pradifta — 2024-12-23

Inovasi dalam pembelajaran berperan penting dalam meningkatkan kompetensi sumber daya manusia industri. Dalam mendukung hal tersebut, dilakukan integrasi teknologi ke dalam program pendidikan agar meningkatkan kualitas hasil pembelajaran dan meningkatkan daya saing mahasiswa di sektor industri serta mempermudah dalam pembelajaran yaitu dengan membuat aplikasi "Pattern Ease". Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi dampak implementasi aplikasi mobile "Pattern Ease" sebagai solusi pembelajaran dalam pembuatan pola dasar garmen di pendidikan vokasi. Pengembangan aplikasi menggunakan format Android Package Kit (APK), yang menggabungkan empat modul pola dasar utama: rok, blouse, kemeja, dan celana. Metode evaluasi yang dilakukan meliputi pengujian black box untuk menilai fungsionalitas pada sistem aplikasi dan survei
kepuasan pengguna menggunakan skala Likert yang melibatkan 30 responden, terdiri dari 26 mahasiswa dan 4 pengajar program studi Teknik Pembuatan Garmen. Hasil pengujian black box menunjukkan bahwa seluruh komponen aplikasi berfungsi secara optimal sesuai spesifikasi. Evaluasi kepuasan pengguna menghasilkan nilai rata-rata 4,5 dari 5,0, dengan aspek manfaat pembelajaran mencapai 4,63, kemudahan penggunaan 4,62, dan rekomendasi penggunaan 4,57. Penelitian ini berkontribusi dalam modernisasi pendidikan vokasi garmen melalui integrasi teknologi digital yang mendukung pembelajaran efektif dan inklusif. Aplikasi "Pattern Ease" memberikan solusi praktis untuk mempermudah pembelajaran sekaligus memberikan landasan untuk
pengembangan lebih lanjut dalam teknologi pembelajaran vokasi garmen.

DIGITALISASI MANAJEMEN PRODUKSI DALAM UPAYA GREEN PRODUK INDUSTRI LURIK DI CAWAS PEDAN KLATEN

RR Yuliana RK — 2024-12-23

Daerah pedan klaten telah lama menjadi sentra kerajinan kain lurik, yang menjadi salah satu unggulan produksi wastra warisan budaya Indonesia . Persoalan umum produksi lurik ini adalah di kelola secara manual turun temurun dikelola oleh keluarga . Hal tersebut menjadi kendala ketika penerus yang tidak ikut mengelola langsung harus menjadi penerus usaha tersebut ditambah dengan tuntutan perkembangan jaman yg membuat digitalisasi manajemen produksi lurik sangat diperlukan. Secara umum proses pembuatan lurik di industri rumahan manapun tidak banyak perbedaan yang membedakan dari sisi kualitas bahan baku yang digunakan sehingga proses produksi hampir semua mirip. Hal tersebut memudahkan dalam digitalisasi sistem manajemen produksi lurik terutama yang berkaitan dengan rancangan database yang dibuat. Meskipun nantinya dimungkinkan disesuaikan dengan nama
masing masing industri. Rancangan dibuat dari memberikan nama id untuk masing masing produksi dan menghubungkan dalam bentuk relational database. Digitalisasi data dalam bentuk rancangan database ini akan
menjadi dasar bagi pengolaan manajemen data selanjutnya.

DETEKSI PENYAKIT DIABETES RETINOPATHY MENGGUNAKAN CITRA DIGITAL DENGAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)

Nurohman — 2024-12-23

Diabetic retinopati (DR) merupakan komplikasi serius dari diabetes yang dapat menyebabkan kebutaan jika tidak dideteksi dan diobati secara dini. Metode skrining konvensional melibatkan pemeriksaan fundus oleh tenaga medis terlatih membutuhkan waktu dan biaya yang besar. Penelitian ini mengusulkan pendekatan deteksi otomatis retinopati diabetik menggunakan citra digital fundus dan metode Convolutional Neural Network (CNN). CNN adalah salah satu arsitektur deep learning, dimanfaatkan untuk secara otomatis mempelajari dan mengekstraksi fitur-fitur dari citra fundus retina. Dataset yang digunakan dalam peroses deteksi dan klasifikasi mempunyai 5 kelas yauitu: mild, moderate, no_DR, proliferative, dan severe. Proses pelatihan citra menggunakan model VGG- 19 dengan pelatihan 100 epoch mendapat hasil akurasi yang cukup baik yaitu 72% dengan jumlah data 3000 citra fundus yang dibagi menjadi 70:30, 70% untuk data train dan 30% untuk data validasi. Hasil diagnosa DR sebanyak x2160 citra dan NDR sebanyak 840 citra. Pada pelatihan menggunakan rasio data 80:20 yaitu 80% data train dan 20% data validasi, rasio ini mendapat hasil akurasi 69% dengan hasil diagnosa DR sebanyak 2070 citra dan NDR sebanyak 930 citra.

PENGEMBANGAN APLIKASI LIVE VIDEO STREAMING BERBAYAR UNTUK KONSER MUSIK INDONESIA MENGGUNAKAN PROGRESSIVE WEB APPS

Rachmad Sanuri — 2024-12-23

Live streaming adalah penyiaran konten video secara langsung di internet. Kemajuan teknologi telah memungkinkan bertambahnya alternatif hiburan untuk menonton konser musik dengan teknologi live streaming. Penyiaran langsung konser musik telah menjadi tren yang berkembang pesat, memberikan alternatif bagi penggemar musik di seluruh dunia untuk menikmati penampilan langsung tanpa batas geografis. Dengan munculnya platform digital dan peningkatan aksesibilitas internet berkecepatan tinggi, konser musik live streaming kini dapat diakses oleh audiens yang lebih luas, melampaui kapasitas tempat duduk yang terbatas pada venue konser tradisional. Penggunaan Progressive Web Apps (PWA) dalam penyelenggaraan konser musik secara live streaming menjadi sangat relevan mengingat kemampuannya dalam menghadirkan pengalaman pengguna yang cepat, efisien, dan dapat diakses melalui berbagai perangkat. PWA mengeliminasi kebutuhan untuk mengunduh aplikasi khusus dari apps store. Implementasi PWA dalam penyelenggaraan konser musik secara live streaming telah menunjukkan hasil yang signifikan dalam meningkatkan pengalaman pengguna. Aplikasi berhasil di install pada smartphone menggunakan teknologi PWA.

PENGGUNAAN CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK KLASIFIKASI JENIS REMPAH – REMPAH

Putri Kinanti — 2024-12-23

Rempah-rempah memiliki peran penting dalam kuliner dan industri pangan, namun identifikasi yang akurat terhadap berbagai jenis rempah sering kali menjadi tantangan, terutama karena kesamaan visual antara beberapa jenis rempah. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan menerapkan Convolutional Neural Networks (CNN), khususnya arsitektur VGG-19, untuk mengklasifikasikan rempah-rempah berdasarkan citra digital. Dalam penelitian ini, digunakan dataset yang terdiri dari 15 jenis rempah, termasuk bunga lawang, cabe jawa, jahe, dan merica. Model dilatih dengan berbagai epoch (20, 80, 50, 100) untuk mengevaluasi akurasi dan performa model. Hasil eksperimen menunjukkan bahwa model dengan 80 epoch mencapai akurasi 90%, dengan presisi 8,33%, sensitivitas 8%, dan F1-score 8,16%. Sedangkan model dengan 20 epoch menghasilkan akurasi 86%, presisi 4,64%, sensitivitas 4,64%, dan F1-score 4,64%. Penelitian ini menunjukkan bahwa penggunaan CNN dapat meningkatkan akurasi dalam klasifikasi rempah-rempah, dan dapat diintegrasikan dalam aplikasi praktis seperti sistem pengolahan makanan dan pengawasan kualitas.

SISTEM INFORMASI ADMINISTRASI KEUANGAN DI PONDOK PESANTREN TANFIDZUL QUR’AN AT – TAFSIRIYAH BERBASIS WEB

Masruhin — 2024-12-23

Penelitian ini berfokus pada pengembangan Sistem Informasi Administrasi Keuangan di Pondok Pesantren At-
Tafsiriyah Berbasis Web dengan tujuan meningkatkan efisiensi dan efektivitas dalam pengelolaan administrasi

keuangan Pondok Pesantren. Sistem ini dirancang untuk mengobati masalah yang muncul dari pengelolaan
pencatatan administrasi keuangan secara manual, seperti risiko kehilangan data dan kesulitan dalam membuat
laporan keuangan. Dengan sistem yang terintegrasi, administrator Pondok Pesantren dapat dengan mudah
mengelola administrasi keuangan, termasuk pencatatan pendapatan, pengeluaran, dan pembuatan laporan. Metode
penelitian yang digunakan meliputi observasi, wawancara, dan studi literatur, dengan pendekatan Waterfall yang
mencakup analisis kebutuhan, desain, pemrograman, pengujian, dan pemeliharaan. Pengembangan sistem
dilakukan menggunakan PHP dan Visual Studio Code, dengan XAMPP sebagai database. Pengujian sistem
dilakukan dengan metode black box untuk memastikan bahwa sistem ini sesuai dengan spesifikasi yang
ditentukan. Hasil dari pengujian sistem yaitu fitur yang ada sesuai dengan kebutuan yang ditentukan, saat
melakukan pengoprasioan fitur dan menginput data sistem berjalan dengan baik, juga ketika melakukan
penghapusan, pengeditan, dan membuat laporan sistem berjalan sesuai dengan sempurna. Oleh karena itu,
pengujian yang dilakukan oleh 2 responden menunjukkan bahwa semua responden memberikan tingkat
persetujuan yang tinggi, menandakan bahwa sistem dianggap sangat efektif dan sesuai dengan apa yang
dibutuhkan. Implementasi sistem ini akan memberikan dampak positif yang signifikan dalam pengelolaan
keuangan dan mendukung kelangsungan administrasi keuangan Pondok Pesantren At-Tafsiriyah berbasis web.

SISTEM INFORMASI PRESENSI MAHASISWA STMIK PGRI ARUNGBINANG KEBUMEN BERBASIS WEB

Bellinda Adisty Pura — 2024-11-23

Saat ini presensi kehadiran di STMIK PGRI ARUNGBINANG KEBUMEN masih menggunakan lembar kertas yang ditandatangani oleh mahasiswa secara estafet. Hal ini menyebabkan beberapa masalah, diantaranya xmemerlukan waktu yang lama dan cukup merepotkan untuk mengumpulkan rekap presensi mahasiswa bahkan banyak mahasiswa yang curang dengan cara menitipkan kehadiran pada rekan sekelas mereka, sehingga metode fisik ini kurang efektif dan efisien. Untuk itu diperlukan adanya sistem informasi presensi mahasiswa STMIK PGRI ARUNGBINANG KEBUMEN berbasis website. Sistem presensi mahasiswa online dengan penandaan lokasi ini mencakup informasi kehadiran, serta status ketidakhadiran seperti sakit atau izin. Metodologi modified
waterfall digunakan untuk mengembangkan perangkat lunak sistem ini. Tujuannya adalah untuk mengembangkan sistem dengan prosedur yang jelas, sistematis dan terkendali. Teknik pengumpulan data yang digunakan meliputi wawancara, dan tinjauan pustaka. Implementasi perangkat lunak menggunakan bahasa pemrograman PHP dan SQL. Hasil dari penelitian ini menunjukkan bahwa sistem informasi presensi mahasiswa STMIK PGRI Arungbinang Kebumen berbasis website ini dapat mempermudah proses penghitungan kehadiran mahasiswa, mengurangi waktu yang dibutuhkan dalam melakukan penghitungan, meningkatkan akurasi dalam pengelolaan data presensi dan mengurangi kecurangan mahasiswa.

LITERATURE REVIEW METODE PENGEMBANGAN SISTEM INFORMASI BERBASIS WEBSITE

Aliy Hafiz — 2024-12-23

Analisa mengenai metode pengembangan yang digunakan dalam develop sistem informasi perlu dilakukan. Penelitian ini menggunakan Pendekatan literature review dengan memanfaatkan aplikasi Publish or Perish sebagai alat bantu pencarian literatur. Kajian ini mencakup artikel ilmiah yang dipublikasikan dalam rentang waktu 2019-2023. Metode penelitian dilakukan dengan mengumpulkan data menggunakan Publish or Perish yang mengakses database Google Scholar, dengan kata kunci metode pengembangan sistem informasi website, dan kombinasi kata kunci terkait. Dari total 183 artikel yang teridentifikasi, dilakukan penyaringan berdasarkan kriteria inklusi dan eksklusi sehingga diperoleh 52 artikel yang relevan untuk dianalisis lebih lanjut. Hasil penelitian menunjukkan bahwa metode Waterfall masih menjadi metode yang paling dominan digunakan, diikuti oleh Rapid Application Development (RAD) dan Rational Unified Process (RUP), serta Prototype. Sektor pendidikan dan bisnis merupakan area yang paling banyak menjadi fokus pengembangan sistem informasi berbasis website. Penelitian ini juga mengidentifikasi kelebihan dan kekurangan dari masing-masing metode pengembangan, serta faktor-faktor yang mempengaruhi pemilihan metode tersebut. Kontribusi penelitian ini adalah menyediakan panduan komprehensif bagi pengembang dalam memilih metode yang sesuai untuk proyek sistem informasi berbasis website berdasarkan analisis tren terkini.

SISTEM INFORMASI PENDAFTARAN SISWA BARU PADA SMP NEGERI 5 TANJUNG RAJA BERBASIS WEB MOBILE

Sigit Mintoro — 2024-12-23

Teknologi di bidang komputer saat ini sangat berkembang pesat sehingga dapat meningkatkan keefisienan dan keefektifitas dalam melakukan setiap pekerjaan. Komputer bukan hanya sekedar pengolah data dan gambar saja tetapi penggunaannya semakin meluas menjadi salah satu sarana komunikasi, media informasi dan edukasi. Sistem ini terdiri dari beberapa modul yaitu modul home, modul Tentang Kami, modul PSB Online, modul berita terbaru, galeri foto dan modul Perancangan sistem ini menggunakan bahasa pemrograman PHP, dan MySQL sebagai basis data. Tools yang digunakan untuk membangun sistem ini adalah Macromedia Dreamweaver 8 dan AppServ sebagai web server. Setelah dilakukan pengujian terhadap semua modul yang terdapat dalam perancangan sistem informasi pendaftaran dan penerimaan siswa baru pada SMP Negeri 5 Tanjung Raja Berbasis Web mobile, maka dapat diambil kesimpulan bahwa hasil pengujian terhadap perancangan sistem informasi telah sesuai dengan konsep rancangan yang telah ditentukan sebelumnya. Dengan perancangan sistem informasi ini diharapkan dapat mempermudah calon siswa untuk mendapatkan informasi yang cepat dan akurat serta mempermudah pihak sekolah dalam mendapatkan laporan yang dibutuhkan.

PENGARUH TINGKAT PENCAHAYAAN PADA IDENTIFIKASI JENIS BERAS DENGAN METODE PENGENALAN JST-PB DAN FITUR GLCM

Merti Paensi — 2024-11-23

Penelitian ini dilakukan untuk mengetahui Pengaruh Tingkat Pencahayaan Pada Identifikasi Jenis Beras Dengan Metode Pengenalan Jaringan Syaraf Tiruan Propagasi Balik (JST-PB) dengan fitur Gray Level Co-occurrence Matrix (GLCM). Dengan memanfaatkan dataset citra dari 3 jenis beras yaitu beras belitang, beras jalur dan beras basmati hasil menunjukan bahwa melakukan pengujian pemotretan dengan 3 tingkatan pencahayaan yaitu, 1 Lampu, 2 Lampu, dan 3 Lampu memiliki dampak terhadap akurasi identifikasi. Tingkat pencahayaan yang digunakan berpengaruh pada hasil potret identifikasi beras. Tingkat pencahayaan yang redah dapat menyebabkan noice sedangkan Tingkat pencahayaan yang tinggi mempengaruhi bagaimana warna yang terekam oleh kamera. Hasil potret pencahayaan yang tepat dapat meningkatkan kejernihan warna objek dan focus visual. Pengujian dilakukan dengan resolusi kamera 12 MP dengan jarak potret 7 cm dengan menggunakan 450 dataset sebagai data latih dan 90 dataset sebagai data uji. Berdasarkan hasil penelitian yang telah dilakukan maka dapat disimpulkan pencahayaan 1 lampu merupakan pencahayaan yang paling tinggi tingkat akurasi sebesar 46.6% dengan citra uji yang dikenali sebanyak 14 dari 30 total citra uji.

PENGARUH PENCAHAYAAN PADA PEMOTRETAN URAT DAUN PADA IDENTIFIKASI JENIS BIBIT KELENGKENG DENGAN METODE PENGENALAN JST- PB DAN FITUR GLCM

Deni Setiya Nugraha — 2024-12-23

Dari hasil percobaan yang dilakukan dapat disimpulkan bahwa nilai pencahayaan terbaik juga bergantungpada
jumlah neuron pada lapisan tersembunyi. Bila menggunakan lampu 5 watt, digunakan 30 neuron. Karena dapat
mengenali 48 gambar latih dan 13 gambar uji dengan total 61 gambar. Saat menyalakan lampu 9 watt, 30 neuron
digunakan. Sebab, mampu mengenali 52 gambar latih dan 10 gambar uji dengantotal 62 gambar. Saat menyalakan
lampu 10 watt, 30 neuron digunakan. Karena dapat mengenali 60 gambarlatih dan 11 gambar uji dengan total 71
gambar. Saat menyalakan lampu 12 watt, 30 neuron digunakan. Karena dapat mengenali 50 gambar latih dan 15
gambar uji dengan total 65 gambar. Dan pencahayaan 15watt menggunakan 30 neuron. Karena dapat mengenali
56 gambar latih dan 11 gambar uji dengan total 67gambar.

SISTEM INFORMASI PERPUSTAKAAN BERBASIS WEB STUDI KASUS STMIK DIAN CIPTA CENDIKIA

Ngajiyanto — 2024-12-23

Perpustakaan merupakan salah satu pusat informasi, sumber ilmu, referensi agar mahasiswa dapat mencari suatu informasi dengan tepat dan benar. Tujuan dari penelitian ini adalah mempermudah anggota perpustakaan dalam melakukan pencarian buku, peminjaman buku, membaca buku, dan mempermudah admin dalam mencetak laporan dengan menggunakan web. Dari data yang penulis amati pada STMIK Dian Cipta Cendikia Kotabumi sehingga dalam pencatatan peminjam buku, pencarian buku, pencatatan anggota sulit untuk ditemukan. beberapa kendala yang dihadapi dengan sistem pelayanan offline antara lain petugas perpustakaan tidak selalu berada di dalam perpustakaan dan juga ruangan yang sempit menyulitkan dalam hal pencarian buku. Demi kenyamanan dan kemudahan bagi para mahasiswa, Perpustakaan STMIK Dian Cipta Cendikia Kotabumi harus mengembangkan fasilitas pelayanan secara online. supaya para mahasiswa dapat dengan mudah mengakses informasi yang terdapat pada Perpustakaan STMIK Dian Cipta Cendikia Kotabumi dalam waktu yang tak terbatas tanpa harus datang ke perpustakaan. Dengan adanya masalah ini maka penulis berniat membuat sebuah web perpustakaan untuk kampus STMIK Dian Cipta Cendikia agar mempermudah anggota saat ingin mencari buku atau peminjaman buku dan
mempermudah admin dalam melakukan pencatatan laporan, pemi njaman, buku, dan anggota. Penulis menggunakan metode Xtreme Programing untuk perancangan web dan sebuah software untuk membuat web seperti XAMPP, Notepad++, UML, CSS, HTML, CSS, PHP dan sebagainya. Sehingga mahasiswa bisa mendapatkan informasi yang diinginkan dengan cepat, kapanpun dan dari manapun. Informasi yang akurat, relevan dan juga tepat waktu. Informasi ini diproses melalui media komputer dan internet.

IMPLEMENTASI KOMUNIKASI DATA ANTAR SISTEM INFORMASI MENGGUNAKAN TRANSMISI KONTROL PROTOKOL (TCP)

Joko Triyono — 2024-12-23

INTISARI Era digital menjadikan komunikasi data antar sistem informasi penting dalam jaringan komputer modern, Siklus Input Proses Output dalam sebuah sistem informasi menjadi semakin dib2utuhkan, sehingga output sebuah sistem informasi akan menjadi input bagi sistem informasi yang lain. Semakin banyaknya sistem informasi yang dibangun maka akan semakin terbuka peluang juga untuk pengembangan komunikasi antar sistem informasi dan tidak harus selalu dalam kondisi online atau publik bahkan dimungkinkan client merupakan device mobile seperti laptop yang dilengkapi dengan koneksi internet saat akan membutuhkan sinkronisasi data. Penelitian ini membuktikan bahwa komunikasi data antar sistem informasi dengan menggunakan Transmisi Kontrol Protokol (TCP) bisa dilakukan dengan kondisi pengujian masing-masing sistem informasi terletak pada sebuah jaringan lokal yang saling asing dan hanya terhubung ke server TCP. Dibuktikan juga bahwa akses masing-masing Client langsung ke RDBMS sehingga tidak akan mengganggu sistem informasi yang sedang berjalan dan implementasi sistem informasi pada jaringan lokal akan meningkatkan efisiensi penggunaan bandwidth internet serta meningkatkan keamanan sistem informasi karena tidak diletakkan pada hosting luar juga akan menjadikan proses bisnis lebih stabil karena semua transaksi dilakukan pada jaringan lokal. Kekurangan penelitian ini adalah belum diuji jika penggunaan protokol TCP pada data yang besar akan berhasil atau tidak, juga tingkat keamanan transaksi saat pengiriman data belum di bahas.

SISTEM PENDUKUNG KEPUTUSAN SELEKSI KARYAWAN BARU PADA PBH PERADI PONOROGO MENGGUNAKAN METODE WEIGHT PRODUCT

Mochammad Taufan — 2024-12-23

Dalam era kemajuan teknologi informasi, perusahaan sangat membutuhkan sistem yang dapat membantu mengatasi permasalahan yang ada, termasuk kaitannya masalah seleksi karyawan, PBH Peradi Ponorogo dalam menjaring masalah seleksi karyawan masih banyak dikerjakan secara manual yang sangat rentan terhadap kesalahan dan subjektivitasnya, sehingga riskan terhadap adanya kesalahan user ataupun unsatisfied akan hasil akhir. Sistem yang dibangun diharapkan dapat memberikan hasil yang lebih obyektif dalam menentukan kandidat yang layak berdasarkan kriteria yang telah ditentukan, juga untuk meningkatkan efisiensi dan akurasi proses seleksi, sehingga dapat membantu PBH Peradi Ponorogo mendapatkan karyawan yang sesuai dengan kebutuhan perusahaan.

Penelitian ini menggunakan metode Weight Product untuk menentukan kandidat terbaik berdasarkan kriteria yang telah ditetapkan, seperti IPK, tes keterampilan dasar, pengalaman kerja, dan tes psikologi. Sistem ini dirancang dan diimplementasikan menggunakan bahasa pemrograman PHP dan database MySQL.Sistem pendukung keputusan yang dibangun telah berhasil diimplementasikan dan diuji menggunakan black box testing. Hasil pengujian menunjukkan bahwa sistem berjalan sesuai dengan tujuan juga menghasilkan perhitungan manual dan hasil sistem dengan valid.

OPTIMALISASI PENGGABUNGAN TIGA ANTARMUKA WEBSITE DENGAN PENERAPAN METODE DESIGN THINKING (Studi Kasus Sistem Informasi Mega Finance)

Linda Puspita Sari — 2024-12-23

Dalam era digital yang sangat dinamis, perusahaan Mega Finance harus beradaptasi dengan cepat terhadap perkembangan teknologi dan kebutuhan pengguna. Mega Finanace memiliki tiga antar muka website berbeda untuk keperluan pengguna, permasalahan yang dihadapi Mega Finance adalah kesulitan dalam menciptakan pengalaman pengguna yang konsisten dan intuitif pada tiga antarmuka website yang berbeda, yang digunakan oleh karyawan. Hal ini menyebabkan navigasi yang rumit dan menurunkan kepuasan serta produktivitas karyawan.

Untuk mengatasi masalah optimalisasi tiga antarmuka website yang berbeda ini menerapkan metode design thinking. Pendekatan ini melibatkan tahapan empati, perumusan masalah, ideasi, prototipe, dan pengujian. Langkah pertama adalah memahami kebutuhan dan masalah pengguna melalui wawancara dan survei. Berdasarkan hasil tersebut, dihasilkan solusi kreatif yang diimplementasikan dalam bentuk prototipe, yang kemudian diuji oleh pengguna, umpan balik dari pengujian ini digunakan untuk menyempurnakan desain agar lebih terintegrasi, intuitif, dan user-friendly, untuk mengukur tingkat kegunaan antarmuka terpadu dari website Mega Finance, digunakan system usability scale (SUS). Pengujian ini menghasilkan skor rata-rata 81,75, yang termasuk dalam kategori acceptable. Skor ini menunjukkan bahwa desain aplikasi memiliki antarmuka yang intuitif dan efisien, serta memenuhi kebutuhan pengguna dengan baik.

Penelitian ini menghasilkan rancangan aplikasi yang menggabungkan tiga website Mega Finance menjadi satu antarmuka terpadu. Peningkatan kenyamanan, kepuasan, efisiensi, dan kemudahan penggunaan dibandingkan dengan penggunaan tiga website secara terpisah. Manfaat dari pengembangan antarmuka yang lebih terpadu dan mudah digunakan adalah peningkatan kemudahan bagi pengguna dalam mendapatkan informasi serta menyelesaikan tugas dengan lebih cepat dan jelas. Penelitian ini menunjukkan bahwa penggabungan berbagai fitur dan fungsi dari ketiga website dalam satu platform tidak hanya meningkatkan efisiensi dan kenyamanan pengguna, tetapi juga memudahkan manajemen dan pemeliharaan sistem secara keseluruhan.

MENINGKATKAN EFISIENSI PROMOSI WISATA MELALUI STRATEGI IKLAN BERBAYAR DI META BUSINESS SUITE PADA KELOMPOK SADAR WISATA NGLANGGERAN

Dimas Taufiq Ridlo — 2024-12-23

Perkembangan teknologi informasi, terutama media sosial, telah mengubah cara bisnis melakukan pemasaran, termasuk dalam sektor pariwisata. POKDARWIS Nglanggeran, yang mengelola potensi wisata di Desa Nglanggeran, Yogyakarta, menghadapi tantangan dalam memanfaatkan promosi digital secara optimal. Meskipun telah berhasil mengembangkan Geosite Gunung Api Purba Nglanggeran, promosi yang terbatas dan kurangnya strategi digital marketing menghambat daya tarik destinasi ini. Salah satu solusi yang diusulkan adalah pemanfaatan Meta Business Suite, sebuah platform yang memungkinkan pengelolaan media sosial Facebook dan Instagram secara efisien. Melalui program sosialisasi, pelatihan, dan pendampingan yang dilakukan dengan kolaborasi antara Institut Teknologi Yogyakarta dan Universitas AKPRIND Indonesia, anggota POKDARWIS dibekali keterampilan dalam membuat konten menarik, menjadwalkan unggahan, dan menganalisis performa untuk memperluas jangkauan promosi. Hasil yang diharapkan adalah peningkatan visibilitas dan daya saing Nglanggeran di industri pariwisata, serta membangun hubungan yang lebih kuat dengan wisatawan melalui strategi digital yang terstruktur dan efektif.

OPTIMALISASI WEBSITE E-COMMERCE MENGGUNAKAN TEKNIK SEARCH ENGINE OPTIMIZATION (SEO) ON-PAGE DAN OFF-PAGE UNTUK MENINGKATKAN PENJUALAN PADA TOKO BINTANG MANDIRI SNACK

Indarti anggrain — 2024-12-23

Bintang Mandiri Snack Shop is a shop that sells various kinds of dry cakes. The main problem faced by this shop is the lack of use of information technology to improve operational efficiency and product marketing. In addition, this shop has not utilized e-commerce technology and search engine optimization (SEO) effectively to expand market reach and increase sales. This research method includes several stages, namely problem identification using the Fishbone Diagram model, literature study, analysis of the running system with the Business Model Canvas, and SEO implementation. SEO optimization was carried out for 16 days, including homepage optimization (on-page) and the use of backlinks through social profiles and social media (off-page). The results showed that the Bintang Mandiri Snack website was successfully indexed by Google and began to appear on the search results page on July 12, 2024. SEO optimization increased the number of visitors from 0 to 123 visitors in the period 11-21 July 2024, with a percentage increase of 62.32%. The total impressions on Google reached 1,500 impressions during the optimization process.

PENGARUH JARAK POTRET URAT DAUN PADA IDENTIFIKASI BIBIT JERUK MENGGUNAKAN METODE JST-PB DAN FITUR GLCM

M Mursaliin Kurniawan — 2024-11-23

Tanaman jeruk memiliki peran penting di Indonesia. Namun, kurangnya pemahaman masyarakat dalam memilih jenis bibit jeruk yang tepat dapat menyebabkan penanaman yang tidak efektif dan hasil panen yang kurang memuaskan. Penelitian ini menggunakan pendekatan inovatif dengan memanfaatkan software aplikasi MATLAB, khususnya Jaringan Saraf Tiruan-Propagasi Balik (JST-PB) dan fitur Gray-Level Co-occurrence Matrix (GLCM), untuk mengidentifikasi jenis bibit jeruk. Fokus utama penelitian ini adalah menganalisis pengaruh jarak potret terhadap efektivitas identifikasi bibit. Penelitian ini juga membatasi metode, jenis bibit, resolusi kamera, jarak potret, waktu dan tempat pengambilan gambar, serta pencahayaan untuk memastikan validitas hasil. Tujuan dari penelitian ini adalah menemukan jarak potret terbaik yang menghasilkan tingkat akurasi tinggi dalam identifikasi jenis bibit jeruk menggunakan jaringan saraf tiruan dan fitur GLCM.

ALGORITMA NAIVE BAYES UNTUK MEMPREDIKSI KELAYAKAN PENERIMA BANTUAN PANGAN NON TUNAI (BPNT) DESA JAGANG LAMPUNG UTARA

Rustam — 2024-11-23

Jagang Village is a government agency in Blambangan Pagar District, North Lampung Regency. Jagang Village runs a government program, namely the Non-Cash Food Assistance (BPNT) program in running the program, some residents who are considered capable actually get assistance. In this study, the method used in predicting the eligibility of recipients and non-recipients of Non-Cash Food Assistance (BPNT) is the Naïve Bayes method with manual calculations using Excel formulas that are composed in such a way as to facilitate data input and testing using RapidMiner 7.1 and produces the same accuracy as manual calculations. The results of the implementation of Data Mining using the Naïve Bayes Method to predict the Eligibility of recipients and non-recipients of Non-Cash Food Assistance (BPNT) obtained a prediction accuracy value of 91% and was tested with RapidMiner software with an Accuracy result of 90.91%.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KENAIKAN JABATAN AKADEMIK DOSEN STMIK DCC KOTABUMI DENGAN METODE PROFIL MATCHING

Bambang Suprapto — 2024-11-23

STMIK Dian Cipta Cendikia Kotabumi is a higher education institution located on Jl. Negara No. 03 Candimas Kotabumi North Lampung Postal Code 34581 which has been established since 2007 and always maintains a commitment to human resources, especially lecturers. The academic positions held by lecturers are still Expert Assistant and Lector. Therefore, the aim of this research is to build a decision support system that can make it easier to determine promotions to lecturers' academic positions correctly so that errors do not occur in making the selection. The research method uses Profile Matching, and the system development method uses Extreme Programming (XP) with the PHP programming language and MySQL database. This research uses several criteria to determine promotion to a lecturer's academic position, namely Performance, Education, Position, Discipline, Honesty, Ways of Working, Years of Service, Collaboration, Organization and Achievement. The final result of this writing is the design of a Decision Support System for Selection of Lecturer Academic Position Promotion at STMIK Dian Cipta Cendikia Kotabumi. It is hoped that this design will help STMIK Dian Cipta Cendikia Kotabumi in developing a promotion system for lecturers' academic positions.

PENGELOMPOKAN PROVINSI DI INDONESIA BERDASARKAN PENGELUARAN PER KAPITA TAHUN 2023 DENGAN METODE K-MEANS DAN K-MEDOIDS

Sitti Ulfa Nur Fadhilah — 2024-11-23

Berdasarkan data Survei Sosial-Ekonomi Nasional (Susenas) Maret 2023 pada level nasional, rata-rata pengeluaran per kapita sebulan untuk konsumsi makanan dan bukan makanan naik 9,35 persen sejak Maret tahun 2022. Kenaikan ini diduga dipicu oleh beberapa faktor seperti nilai inflasi, meningkatnya pertumbuhan ekonomi, menurunnya tingkat pengangguran terbuka serta dampak dari program-program perlindungan sosial yang telah pemerintah jalankan. Tujuan dari penelitian ini untuk mengetahui hasil pengelompokan pengeluaran per kapita di Indonesia pada tahun 2023 berdasarkan kelompok makanan dan non makanan serta memberikan gambaran sehingga dapat menjadi acuan bagi pemerintah untuk mengestimasi kebutuhan pasar di masing-masing provinsi. Dari hasil analisis diketahui bahwa jumlah total variabel yang digunakan sebanyak dua puluh variabel dan terdapat lima variabel yang mengalami multikolinieritas sehingga dilakukan analisis PCA untuk mengubah dimensi dari data tanpa menghilangkan informasi penting dari data tersebut. Dalam penelitian ini dilakukan perbandingan analisis klaster K-Means dan K-Medoids dengan menggunakan jarak Euclid dan jarak Manhattan. Penentuan metode terbaik menggunakan beberapa uji validasi yakni Silhouette Index, Davies-Bouldin Index (DBI) dan Connectivity Index. Uji validasi menunjukkan bahwa metode terbaik adalah metode K-Medoids dengan jarak Manhattan karena memiliki nilai DBI dan Connectivity Index yang paling kecil dibandingkan metode lainnya. Pengelompokan berdasarkan metode terbaik menghasilkan 2 klaster dimana klaster 1 memuat 21 provinsi dan klaster 2 memuat 13 provinsi.

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN SMK FAVORIT DI WAY KANAN DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Kurniawati — 2024-12-23

Pemilihan sekolah yang tepat sangat penting dan memerlukan analisis khusus pada Sekolah Menengah Kejuruan (SMK) yang relevan. Di Kabupaten Way Kanan, jumlah SMK terus bertambah, yang turut meningkatkan minat belajar siswa SMP/MTs di wilayah tersebut. Kondisi ini memunculkan kebutuhan akan Sistem Pendukung Keputusan (SPK) yang dapat membantu para lulusan SMP dan MTs dalam memilih dan menentukan SMK yang paling sesuai. Untuk menjawab kebutuhan ini, penulis merancang SPK menggunakan metode SAW, Metode pengembangan sistem yang diterapkan adalah Extreme Programming, yang memberikan keunggulan dalam kecepatan dan kemampuan beradaptasi dengan kebutuhan pengguna. SPK Penentuan SMK Favorit di Way Kanan ini diharapkan dapat memfasilitasi Dinas Pendidikan Way Kanan dalam mengumpulkan arsip nilai dari seluruh SMK di wilayah tersebut. Selain itu, sistem ini membantu mempercepat evaluasi dan mempermudah proses perhitungan dalam memilih SMK terbaik secara akurat. Dengan adanya SPK ini, Dinas Pendidikan memiliki dasar yang kuat dalam memberikan rekomendasi kepada masyarakat terkait SMK yang dianggap unggul. Ini tidak hanya mendukung pemilihan SMK favorit dengan lebih efektif, tetapi juga meningkatkan transparansi dalam pengambilan keputusan terkait pendidikan di Kabupaten Way Kanan. Berdasarkan hasil dari penelitian ini diperoleh informasi bahwa sistem pendukung keputusan dengan menggunakan metode SAW dapat menyelesaikan permasalahan mengenai pengambilan keputusan dalam pemilihan SMK favorit di Kabupaten Way Kanan. Hasil tersebut menghasilkan nilai sebesar 0.779 dari hasil perangkingan.

IMPLEMENTASI K-NEAREST NEIGHBOR (K-NN) UNTUK PREDIKSI PENERIMA PINJAMAN (Study Kasus: KSP. Sukri Jaya Mandiri)

Sidik Rahmatullah — 2024-12-23

KSP. Sukri Jaya Mandiri Lampung Tengah merupakan salah satu lembaga keuangan koperasi simpan pinjam yang sukses menarik banyak nasabah menjadi anggota tiap tahunnya, terbukti dengan meningkatnya jumlah anggota baru tiap tahun. masalah yang sering terjadi yaitu pola perilaku atau karakteristik nasabah yang kurang baik. Pada Ksp. Sukri Jaya Mandiri Lampung Tengah pengklasifikasian layak atau tidaknya nasabah yang mendapat pinjaman belum akurat atau belum tepat. Untuk pengklasifikasiannya masih menggunakan manual yang belum teruji dengan metode dan menggunakan Microsoft excel yang belum teruji ke dalam sistem pemrograman seperti Rapidminer. Pada penelitian ini digunakan metode pengumpulan data studi pustaka, dan wawancara. Data nasabah yang digunakan yaitu data dalam waktu 3 tahun terakhir dengan jumlah nasabah sebanyak 200 data. Digunakan beberapa atribut diantaranya Nama, Umur, Pekerjaan, Gaji, Jenis Tinggal, Kondisi Rumah, Status Pernikahan, Jumlah Tanggungan, Jenis Pinjaman, Jaminan, status keanggotaan, dan Pinjaman Lain. Prediksi data mining menggunakan algoritma K-Nearest Neighbor (K-NN) telah berhasil diimplementasikan dengan bantuan perangkat lunak RapidMiner. Dalam eksperimen ini, parameter nilai k yang menghasilkan tingkat akurasi terbaik adalah k=5, dengan tingkat akurasi mencapai 82,50%. Berdasarkan hasil analisis, diperoleh suatu pola yang memungkinkan klasifikasi nasabah baru ke dalam kategori layak atau tidak layak dengan tingkat kepercayaan yang tinggi. Pola ini diharapkan dapat membantu pengambilan keputusan yang lebih efektif dalam pengelolaan nasabah.

ANALISIS PREDIKSI KELULUSAN MAHASISWA DENGAN METODE NAIVE BAYES CLASSIFIER

Masungging Dwi Cahyo — 2024-12-23

Kelulusan dalam waktu yang ditetapkan merupakan salah satu indikator keberhasilan mahasiswa dan kualitas Perguruan tinggi. Prediksi kelulusan tepat waktu perlu dilakukan guna meningkatkan efesiensi sistem pendidikan pada Perguruan Tinggi. Metode Naive Bayes Classifier merupakan metode klasifikasi yang dapat digunakan memprediksi mahasiswa akan lulus tepat waktu atau tidak. Metode Naive Bayes Classifier didasarkan pada teorema Bayes dengan asumsi independensi antar fitur. Data penelitian yang digunakan sebanyak 247 mahasiswa telah lulus. Atribut yang digunakan meliputi jenis kelamin, asal daerah, Indeks Prestasi Semester (IPS) 1 hingga 4, dan nilai mata kuliah kompetensi dengan variabel target empat kategori. Untuk data latih diambil sebanyak 197 (80%) sedangkan data uji diambil sebanyak 50 (20%). Hasil penelitian menunjukkan bahwa model Naive Bayes Classifier memiliki akurasi yang tinggi dalam memprediksi kelulusan mahasiswa, yaitu sebesar 94%. Nilai presisi model untuk kategori 1 dan kategori 3, masing-masing mencapai 94% dan 100% sedangkan presisi model untuk kategori 2 dan kategori 4 adalah 0. Nilai recall untuk kategori 1 dan kategori 3 mencapai 100% sedangkan untuk kategori 2 dan kategori 4 adalah 0. Nilai F1-Score menunjukkan keseimbangan yang cukup baik antara presisi dan recall, yaitu sebesar 49%.

PREDIKSI KESEHATAN PARU-PARU PADA PASIEN KANKER PARU-PARU MENGGUNAKAN METODE RANDOM FOREST

Anggelina Karolina Teti — 2024-12-23

Kesehatan paru-paru merupakan salah satu aspek penting dalam penanganan pasien kanker paru-paru. Kondisi paru-paru yang sehat dapat mempengaruhi prognosis dan kualitas hidup pasien. Penelitian ini bertujuan untuk melakukan prediksi klasifikasi kesehatan paru-paru pada pasien kanker paru-paru menggunakan metode Random Forest. Hasil analisis menunjukkan bahwa model optimal diperoleh dengan menggunakan parameter m = 2, k = 50, dan k = 100 dengan proporsi data 80:20. Variabel yang paling mempengaruhi hasil prediksi adalah Batuk Darah. Evaluasi model menggunakan confusion matrix menghasilkan tingkat akurasi sebesar 95%. Semua variabel bebas memiliki pengaruh signifikan terhadap prediksi kesehatan paru-paru antara lain usia, jenis kelamin, polusi udara, penggunaan alkohol, obesitas, merokok, perokok pasif, dan batuk darah.

KLASIFIKASI PROVINSI DI INDONESIA DENGAN METODE CART DAN KNN BERDASARKAN PDRB PER KAPITA

Petrus Chanelius Laumay — 2024-12-23

Pertumbuhan ekonomi dapat diukur menggunakan Produk Domestik Regional Bruto (PDRB) per kapita dengan menekankan pada kemampuan daerah untuk meningkatkan PDRB melebihi tingkat pertumbuhan penduduk. Dalam penelitian ini dilakukan pengklasifikasian provinsi di Indonesia berdasar Produk Domestik Regional Bruto per kapita per tahun atas harga konstan menggunakan metode Classification and Regression Trees (CART) dan K-Nearest Neighbors (KNN). Variabel yang digunakan meliputi tingkat pengangguran terbuka (X1), upah minimum provinsi (X2), persentase penduduk miskin (X3), rata-rata lama sekolah (X4), dan partisipasi Angkatan kerja (X5). Data diambil dari publikasi Badan Pusat Statistik tahun 2023. Algoritma CART adalah metode klasifikasi data dengan mengkategorikan data berdasarkan proporsi terbesar pada simpul terminal. Algoritma KNN adalah algoritma klasifikasi data berdasar k tetangga terdekatnya (nearest neighbors). Dari hasil penelitian ini menunjukkan bahwa hasil prediksi PDRB per kapita per tahun atas harga konstan menggunakan algoritma CART dan KNN memperoleh nilai akurasi yang baik. Diketahui juga bahwa algoritma CART merupakan model terbaik dalam mengklasifikasikan PDRB per kapita per tahun atas harga konstan karena memiliki nilai rata-rata akurasi paling tinggi yaitu sebesar 90,475%.

PREDIKSI BERKURANGNYA JUMLAH MAHASISWA REGISTRASI SEMESTER MENGGUNAKAN MULTI REGRESI PADA STMIK DIAN CIPTA CENDIKIA KOTABUMI

Dona Prania — 2024-12-23

STMIK Dian Cipta Cendikia Kotabumi sering kali mengalami pengurangan jumlah mahasiswa yang dipengaruhi oleh beberapa faktor yaitu : Biaya semester, rentang waktu pembayaran, dan besarnya biaya denda. Oleh karena itu penulis mencoba memprediksi apa yang menjadi pengaruh yang signifikan terhadap berkurangnya jumlah mahasiswa registrasi semester. Dalam penelitian ini dilakukan prediksi dengan menggunakan metode multi regresi untuk memprediksi berkurangnya jumlah mahasiswa registrasi berdasarkan data pembelajaran dengan menggunakan Microsoft Excel 2010 dan aplikasi RapidMiner. Dalam penelitian ini terdapat variabel dependen (bebas) yaitu: Biaya semester, rentang waktu pembayaran, dan besarnya biaya denda dan variabel independent (terikat) yaitu : Jumlah mahasiswa. Hasil dari penelitian ini dengan perhitungan menggunakan metode multi regresi dalam memprediksi jumlah mahasiswa registrasi dapat digunakan untuk membantu mengetahui berapa banyak mahasiswa registrasi semester berikutnya dangan nilai prediksi yang mendekati data asli yang diolah sebagai data pembelajaran dengan hasil 14.93872 dan data asli sebesar 17 dengan nilai error 0,006. Dengan menggunakan prediksi ini maka diharapkan dapat memberikan ketepatan yang akurat dalam perhitungan berkurangnya jumlah mahasiswa registrasi semester.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA TUBERKULOSIS DI PROVINSI JAWA TENGAH DENGAN PENDEKATAN REGRESI NONPARAMETRIK SPLINE TRUNCATED

Sinta Widarti — 2024-12-23

Tuberkulosis merupakan penyakit infeksi kronik dan menular yang erat kaitannya dengan keadaan lingkungan dan perilaku masyarakat yang disebabkan oleh bakteri Mycobacterium tuberculosis. Penelitian ini dilakukan di Jawa Tengah dikarenakan di provinsi ini termasuk peringkat ketiga banyaknya kasus tuberkulosis di Indonesia pada tahun 2022 yaitu sebesar 77.426 kasus dan kurangnya penelitian yang dilakukan di provinsi ini. Faktor-faktor yang diduga mempengaruhi angka kasus tuberkulosis yaitu persentase rumah tangga yang memiliki akses terhadap sanitasi layak, persentase penduduk miskin, persentase penduduk usia 15 tahun ke atas yang merokok, Indeks Pembangunan Manusia, dan persentase penduduk yang memiliki jaminan kesehatan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi angka kasus tuberkulosis di Jawa Tengah menggunakan Regresi Nonparametrik Spline Truncated. Metode ini digunakan karena pola hubungan antara kasus tuberkulosis dengan faktor faktor yang diduga mempengaruhinya tidak mengikuti pola tertentu. Hasil penelitian menunjukkkan bahwa model regersi nonparametrik spline truncated terbaik adalah menggunakan 3 titik knot dengan nilai GCV minimum yaitu 7051,75, nilai MSE sebesar 2326,96, dan empat variabel berpengaruh signifikan yaitu persentase rumah tangga yang memiliki akses terhadap sanitasi layak, persentase penduduk miskin, persentase penduduk usia 15 tahun ke atas yang merokok, dan Indeks Pembangunan Manusia. Koefisien determinasi dari model sebesar 96,60%.

PEMODELAN MIXED GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) PADA ANALISIS FAKTOR YANG MEMPENGARUHI DEMAM BERDARAH DENGUE DI POVINSI JAWA BARAT

Benediktus Boli Tukan — 2024-12-23

Penyakit Demam Berdarah Dengue (DBD) merupakan salah satu penyakit infeksi virus yang ditularkan melalui gigitan nyamuk. Penyebaran penyakit Demam Berdarah Dengue (DBD) sangat dipengaruhi oleh faktor-faktor spasial. Data pada penelitian ini yaitu Jumlah kasus Demam Berdarah Dengue (DBD) Kab/Kota di Provinsi Jawa Barat. Dalam penelitian ini dilakukan pemodelan terkait faktor-faktor yang mempengaruhi Demam Berdarah Dengue dengan menggunakan Regresi Linear Berganda, Mixed Geographically Weighted Regression. Hasil analisis menunjukan bahwa variabel yang berpengaruh signifikan secara global adalah variabel persentase rumah tangga berperilaku hidup bersih, persentase rumah tangga yang memiliki akses sanitasi layak, serta jumlah fasilitas kesehatan sementara variabel yang berpengaruh signifikan secara lokal adalah persentase penduduk miskin. Pemodelan dengan menggunakan metode GWR menghasilkan nilai AIC = 172,073 lebih kecil dibandingkan metode MGWR dan regresi berganda. Namun Kemudian metode MGWR menghasilkan nilai MSE = 26,174 lebih kecil dibandingkan metode GWR dan regresi linear berganda.

ANALISIS PERFORMANSI PADA MOTOR INDUKSI SATU FASA TERHADAP BESAR TEGANGAN DAN ARUS DENGAN PENAMBAHAN KOMPONEN RLC

Slamet Hani — 2024-12-23

Motor induksi satu fasa memiliki beberapa jenis kapasitor salah satunya motor kapasitor permanen atau disebut
dengan motor kapasitor running yang banyak digunakan untuk keperluan rumah tangga sebagai penggerak pada
pompa air, kipas angin dan lain sebagainya. Kontribusi penelitian ini terhadap industri motor induksi atau teknologi
listrik rumah tangga sangat diperlukan dalam mengoptimalkan kinerja motor induksi juga akan meningkatkan daya
tarik pemakaian motor induksi. Motor induksi satu fasa umumya tersedia dengan daya kurang dari 1 HP. , pengujian
motor induksi satu fasa menggunakan tambahan komponen RLC serta mengetahui besar tegangan, arus dan
kecepatan putar yang dihasilkan. Penambahan komponen RLC dalam sistem ini untuk mengukur parameter.
Resistive (resistor variabel), Inductive (lilitan induksi), Capasitive (kapasitor) yang berjenis polyster dengan kedua
kabel dapat digunakan secara bolak-balik. Pemasangan komponen tersebut disusun secara seri. Hasil dari
pengujian saat hambatan divariasikan tertinggi sebesar 31,2 Ω, output tegangan running sebesar 199 V dan arus
running 1,2 A dikeadaan tersebut motor berputar pada kecepatan 2552 rpm. Pengujian pada saat menggunakan
lilitan induktor 15 mH didapatkan nilai tegangan running terendah sebesar 135 V dan arus 0 A, pada keadaan
tersebut motor berputar dengan kecepatan 2306 rpm. Sedangkan pengujian menggunakan kapasitor 12 μF
didapatkan tegangan running 223 V dan arus running 1,6 A pada keadaan tersebut motor dapat berputar.

PENGUSIR BURUNG PINTAR BERBASIS INTERNET OF THINGS (IoT)

Gatot Santoso — 2024-12-23

Penelitian ini bertujuan untuk merancang sistem otomasi pengusir burung pintar berbasis Internet of Things (IoT). yang dirancang untuk pertanian pintar di Desa Pandan. Sistem ini menggunakan modul ESP32 sebagai pengendali utama, yang dipasangkan dengan sensor ultrasonik untuk mendeteksi burung hama, serta termasuk buzzer dan motor servo untuk mengusir burung tersebut. Sistem ini dikendalikan melalui aplikasi Blynk, memungkinkan pengoperasian manual dan otomatis dari jarak jauh menggunakan smartphone. Proses perancangan alat mencakup pembuatan skematik rangkaian dan desain wiring diagram yang diterapkan dalam bentuk modul fisik. Hasil pemrograman ESP32 berhasil diupload dan diuji, memastikan alat beroperasi sesuai dengan pengaturan yang telah ditetapkan. Pengujian dilakukan untuk mengukur kinerja sensor ultrasonik, keaktifan buzzer dan servo, serta efektivitas kontrol manual dan virtual melalui aplikasi Blynk. Pengujian jarak kontrol manual beroprasi dengan baik dan deley rata-rata berada di 1,55 detik – 1,59 detik yang di peroleh hanya selisish sedikit hanya karena diakibatkan oleh sinyal dari smartphone. Pada data sheet sensor ultrasonik komponen dapat mendeteksi objek hingga jarak 5 meter tetapi sensor ultrasonik sistem ini efektif mendeteksi objek dalam jangkauan 3 meter, dan buzzer serta servo berfungsi sesuai harapan. Kontrol melalui Blynk bekerja dengan baik selama perangkat terhubung ke Wi-Fi. Penelitian ini menyimpulkan bahwa sistem otomasi pengusir hama burung berbasis IoT dapat diterapkan dengan baik untuk mendukung smart farming.

VARIABLE SPEED DRIVE (VSD) SEBAGAI PENGENDALIAN KECEPATAN MOTOR INDUKSI

Prasetyono Eko Pambudi — 2024-12-23

Penggunaan motor induksi tiga fasa sangat masif digunakan pada industri. Penerapan sistem kendali telah mengalami perkembangan yang pesat untuk mendukung otomasi industri yang berlangsung saat ini. Berdasarkan hal tersebut keterampilan dalam penguasaan sistem kendali dirasa perlu. Tujuan pembuatan modul kendali motor induksi 3 fasa pada penelitian ini untuk dapat mengendalikan kecepatan motor induksi 3 fasa secara otomatis dan manual dengan kecepatan yang diinginkan melalui setting parameter frekuensi pada VSD dan kontrol VSD oleh PLC. PLC digunakan sebagai kontrol VSD. Sementara motor dikontrol oleh keluaran VSD. PLC adalah sebuah alat yang diprogram untuk mengatur kontrol kerja dari modul kontrol motor. Pada modul latih ini VSD telah dilakukan setting parameter kecepatan terlebih dahulu sehingga PLC dapat mengatur jalannya variasi kecepatan motor. Pengoperasian alat modul ini memiliki dua sistem operasi yaitu otomatis dan manual dengan delapan variasi kecepatan yang dapat dikendalikan. Mode otomatis menggunakan fungsi timer dan fungsi counter pada mode manual menggunakan pemrograman ladder diagram dengan software ecostruxure machine basic-expert. Pada nilai frekuensi paling kecil 2 Hz menghasilkan output tegangan 30 VAC dan kecepatan 110 Rpm. Sementara nilai frekuensi tertinggi 50 Hz menghasilkan output tegangan 227 VAC dan kecepatan 2991 Rpm.

IMPLEMENTASI SISTEM PENDINGIN PADA PERMUKAAN BAWAH PANEL SURYA UNTUK MENINGKATKAN EFISIENSI KELUARAN DAYA LISTRIK

Muhammad Suyanto — 2024-12-23

Indonesia merupakan negara beriklim tropis sehingga memiliki intensitas cahaya matahari cukup tinggi. Intensitas cahaya matahari yang tinggi memungkinkan pemasangan panel surya dapat maksimal. Panel surya adalah komponen elektronik yang berfungsi merubah energi matahari menjadi energi listrik melalui gejala fotovoltaik. Dimana, panel surya memiliki NOCT(Nominal Operating Cell Temperature) sebesar 45°C. Panel surya bekerja dengan baik saat tidak melewati batas NOCT. Penelitian yang dilakukan pada panel surya menggunakan aliran air dialirkan melalui kisi kisi radiator, panel surya ber pendingin rata rata pada suhu 40,5 °C sedangkan panel surya tanpa pendingin rata rata mencapai 50,5°C. Peningkatan daya keluaran, dapat dicapai dengan panel surya berpendingin 2,21 % dan tanpa pendingin 2,68 %. Untuk persentase kenaikan tegangan Open Circuit pada panel surya berpendingin 2,45 % dan tanpa pendingin 1,47 %. Penurunan suhu yang dapat dicapai panel surya berpendingin mencapai 24,9 %, sedangkan tanpa pendinginan hanya 14,29 %.

TRANSFORMASI DIGITAL PELAYANAN BAHAN HABIS PAKAI DI BENGKEL LISTRIK MENGGUNAKAN PLATFORM APPSHEET

Riri Octaviani — 2024-12-23

Bahan yang ada di Bengkel Listrik merupakan barang milik negara (BMN), dimana barang tersebut harus dikelola dan dipertanggungjawabkan pemakaiannya oleh Pranata Laboratorium Pendidikan (PLP) yang bertugas di Bengkel Listrik. Bahan ini digunakan oleh Pelanggan (Mahasiswa/Dosen) untuk kegiatan praktik ataupun penelitian.

Saat ini pelayanan bahan, masih dilakukan pencatatan secara manual (paper based). Hal ini tentu tidak efektif dan efisien, baik dari sisi pelanggan maupun dari sisi PLP. Pelanggan harus menulis/mengisi formulir permintaan Bahan secara manual. PLP harus mengolah data pemakaian bahan pada formulir yang diisi Pelanggan secara manual dalam membuat laporan pertanggungjawaban pemakaian Bahan yang ada di Bengkel Listrik.

Untuk meningkatkan pelayanan dan menghasilkan laporan pemakaian Bahan yang valid di Bengkel Listrik, maka pada penelitian ini dirancang sebuah aplikasi pelayanan Bahan. Aplikasi akan ditambahkan sebagai menu baru pada aplikasi hasil penelitian penulis sebelumnya menggunakan platform AppSheet dan database Google Spreadsheet. Aplikasi dapat menampilkan Database Bahan, Formulir Order Bahan dan Daftar Transaksi Bahan. Pengisian Formulir Order Bahan dilakukan dengan cara scan QR Code Bahan dan QR Code Pelanggan menggunakan perangkat android. Hal ini tentu dapat mempercepat waktu proses pengisian formulir. Setiap aktivitas pada aplikasi akan terekam pada Daftar Transaksi Bahan, sehingga dapat menghasilkan data pemakaian Bahan yang valid. Aplikasi ini selanjutnya disosialisasikan dan diuji coba oleh Pelanggan dan dilakukan survey menggunakan kuesioner kepada 100 Pelanggan di Bengkel Listrik, dan memperoleh hasil 96% responden lebih menyukai penggunaan aplikasi dari pada formulir manual.

PERBANDINGAN K-NEAREST NEIGHBORS (KNN) DAN SUPPORT VECTOR REGRESSION (SVR) UNTUK PREDIKSI KONSUMSI ENERGI LISTRIK

Retno Wahyusari — 2024-12-23

Kebutuhan prediksi konsumsi energi listrik penting dalam manajemen energi seiring peningkatan kebutuhan energi akibat pertumbuhan penduduk dan perkembangan teknologi. Prediksi yang akurat membantu optimalisasi distribusi energi, pengurangan biaya operasional, dan mendukung kebijakan berkelanjutan. Penelitian ini menggunakan algoritma K-Nearest Neighbors (KNN) dan Support Vector Regression (SVR) untuk memprediksi konsumsi energi listrik pada dataset Tetuan City Power Consumption dengan tujuan mengukur performa kedua model berdasarkan Root Mean Squared Error (RMSE) dan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa model KNN memiliki performa yang lebih baik dengan RMSE sebesar 0,14 dan MAPE sebesar 0,23 (atau 23%), sedangkan model SVR memiliki RMSE sebesar 0,16 dan MAPE sebesar 0,31 (atau 31%). Hal ini menunjukkan bahwa KNN lebih akurat dan andal dalam memprediksi konsumsi energi listrik dibandingkan SVR. Penelitian lebih lanjut dapat mempertimbangkan penggunaan model lain yang mampu menangani fluktuasi data yang lebih ekstrem atau menggabungkan beberapa algoritma agar dapat memberikan prediksi yang lebih akurat. Selain itu, penggunaan dataset dengan variabel tambahan atau penyempurnaan proses prapengolahan data dapat meningkatkan kinerja model.

RANCANG BANGUN SISTEM MONITORING ALAT NON INVASIVE UNTUK SCREANING GEJALA KLINIS PENYAKIT KARDIOVASKULAR BERBASIS INTERNET OF MEDICAL THINGS (IoMT )

Danang Widyawarman — 2024-12-23

Proses pengukuran nilai asam urat, kolesterol dan kadar gula darah umumnya dilakukan dengan menggunakan metode invasive atau dengan melukai bagian tubuh untuk mengambil sampel darah. Pada metode invasive diperlukan 3 alat yang berbeda untuk dapat mengetahui kadar gula darah, kolestrol dan asam urat. Pada penelitian ini pengukuran dilakukan dengan menggunakan metode non-invasive atau tanpa melukai bagian tubuh dengan berbasis Internet of Medical Things (IoMT). Alat ini dilengkapi dengan Liquid Crystal Display dan aplikasi Web server sebagai penampil nilai hasil pengukuran. Penelitian ini bertujuan untuk mengukur nilai asam urat, kolesterol, kadar gula darah dan saturasi oksigen yang dilakukan dengan memanfaatkan pemancaran cahaya LED merah pada sensor yang dipasangkan pada jari. Nilai output dari sensor berupa tegangan diproses pada arduino NodeMCU ESP 32 untuk diubah menjadi bit dan dilakukan perhitungan untuk mendapatkan nilai asam urat, kolesterol, kadar gula darah, dan saturasi oksigen. Nilai yang terukur kemudian akan dikirimkan ke firebase agar dapat ditampilkan pada aplikasi Web server dan LCD yang digunakan untuk pemetaan penyakit di suatu wilayah dan membantu monitoring dokter.

IMPLEMENTASI METODE SOSTAC PADA STRATEGI DIGITAL MARKETING DI UMKM COKLAT VIP PONTIANAK

Adiyath Randy Yudimamase — 2024-12-23

Penelitian ini bertujuan untuk mendesain model metode SOSTAC dan implementasinya dalam mempromosikan bisnis melalui digital marketing di UMKM Coklat VIP sehingga dapat memperluas pemasaran dan meningkatkan profitabilitas. Konsep dalam penelitian ini adalah metode SOSTAC. Dalam metode SOSTAC terdapat 6 siklus yaitu Situation analysis, Objectives, Strategy, Tactics, Actions, Control. Pada penelitian ini penulis menggunakan metode penelitian yang meliputi teknik pengamatan (observasi), teknik wawancara (interview), dokumentasi, dan studi pustaka. Dari hasil tes yang telah dilakukan pada penelitian ini maka dapat disimpulkan bahwa dengan biaya yang dikeluarkan untuk melakukan kampanye di facebook dan Instagram yang ekonomis sebesar Rp. 3.600.000, dalam periode 3 bulan dapat menghasilkan profit pertumbuhan jangkauan pada sosial media UMKM Coklat VIP sehingga pemasaran menjadi lebih luas dan meningkatnya profitabilitas dengan jangkauan postingan total pada Facebook sebesar 214.635 orang dan jangkauan postingan total pada Instagram sebesar 582.301 orang. Pada interaksi postingan total pada Facebook sebesar 1.362 orang dan interaksi postingan total pada Instagram sebesar 2.615 orang. Serta pengikut halaman total pada Facebook sebesar 20 orang dan pengikut halaman total pada Instagram sebesar 705 orang.

THE INFLUENCE OF PRODUCT QUALITY, PRICE AND SITUATIONAL FACTORS ON PURCHASING DECISIONS FOR POST-PANDEMIC MASKS WITH PURCHASE INTENTION AS AN INTERVENING VARIABLE IN YOGYAKARTA

Chrisna Sulistyaningsih — 2024-12-23

Penelitian ini bertujuan untuk menganalisis pengaruh kualitas produk, harga, faktor situasional terhadap keputusan pembelian dengan minat pembelian sebagai variabel intervening. Penelitian ini menggunakan metode SEM-PLS dengan SmartPls untuk mengetahui hubungan antar variabel kualitas produk, harga, faktor situasional dan minat pembelian. Populasi penelitian masyarakat kota Yogyakarta yang membeli masker. Metode pengumpulan data dilakukan dengan survei melalui kuesioner dengan menggunakan skala Likert. Jumlah sampel sebanyak 100 responden, pemilihan responden dengan metode purposive sampling. Hasil uji validitas menunjukkan semua variabel valid dan hasil uji reliabilitas semua item reliabel. Hasil penelitian menunjukkan kualitas produk, harga dan faktor situasional terbukti berpengaruh terhadap minat beli, Adapun intervening hanya terbukti untuk faktor situasional terhadap keputusan pembelian, tidak untuk variabel lainnya.

KAJIAN TENTANG NIAT BERKUNJUNG GENERASI MILENIAL PADA TOSKA KAHVE ROASTERY

Desi Setiasih — 2024-12-23

Secara kontekstual, industri kafe di Daerah Istimewa Yogyakarta telah mengalami pertumbuhan selama 10 tahun terakhir, termasuk di Kulon Progo. Toska Kahve Roastery telah menjadi tempat populer bagi generasi milenial; namun, dalam enam bulan terakhir, kafe ini menghadapi fluktuasi jumlah pengunjung yang mengindikasikan ketidakstabilan dalam niat berkunjung. Untuk mengatasi permasalahan ini, penelitian ini berfokus pada faktor-faktor seperti e-WoM, citra merek, dan lingkungan fisik yang mungkin memengaruhi niat berkunjung konsumen. Berdasarkan bukti empiris dari penelitian sebelumnya yang menunjukkan hasil yang beragam terkait hubungan antara variabel independen dan variabel dependen, penelitian ini bertujuan memberikan wawasan lebih mendalam mengenai respons generasi milenial terhadap faktor-faktor tersebut dalam konteks kafe. Penelitian ini bertujuan untuk menguji pengaruh Electronic Word of Mouth (e-wom), citra merek, dan lingkungan fisik terhadap niat berkunjung generasi milenial di Toska Kahve Roastery, sebuah kafe terkemuka di Kabupaten Kulon Progo. Penelitian ini menggunakan teknik non-probability sampling dengan metode purposive sampling. Responden terdiri dari 112 orang. Data dikumpulkan melalui kuesioner yang disebarkan secara online dan offline. Teknik analisis data yang digunakan adalah regresi linear berganda, diolah dengan SPSS versi 25. Hasil penelitian menunjukkan bahwa e-wom, citra merek, dan lingkungan fisik masing-masing memiliki pengaruh positif dan signifikan terhadap niat berkunjung generasi milenial di Toska Kahve Roastery. Penelitian ini diharapkan memberikan wawasan serta solusi efektif bagi Toska Kahve Roastery untuk meningkatkan jumlah pengunjung dan memastikan keberlanjutan bisnis.

ANALISIS SISTEM KERJA WORK FROM HOME PADA LINGKUNGAN KERJA DAN PENGARUHNYA TERHADAP KINERJA KARYAWAN (Studi Kasus Pekerja Gen Z)

Yoshua Ronaldo Primartono — 2024-12-23

Penelitian ini bertujuan untuk menganalisis pengaruh lingkungan kerja terhadap kinerja karyawan Generasi Z dalam sistem kerja work from home (WFH). Melalui pendekatan kuantitatif, penelitian ini menemukan bahwa lingkungan kerja tidak berpengaruh signifikan terhadap kinerja (nilai sig. 0,549 > 0,05). Tantangan utama WFH, seperti kurangnya komunikasi langsung, dukungan, dan peluang pengembangan yang memengaruhi hasil tersebut, meskipun Generasi Z mampu menjaga keseimbangan antara pekerjaan dan kehidupan pribadi. Temuan ini memberikan wawasan bagi organisasi dalam merancang lingkungan kerja yang mendukung. Penelitian lanjutan disarankan untuk mengeksplorasi faktor tambahan, seperti dukungan sosial dan kepuasan kerja, untuk pemahaman yang lebih komprehensif.

PENGARUH ORIENTASI KEPEMIMPINAN DAN INOVASI TERHADAP KEUNGGULAN KOMPETITIF UKM DI KOTA YOGYAKARTA

Tri Siwi Nugrahani — 2024-12-23

Studi ini bertujuan untuk menguji pengaruh orientasi kepemimpinan dan inovasi terhadap keunggulan kompetitif pada 50 Usaha Kecil dan Menengah (UKM), khususnya dalam industri kerajinan di Kota Yogyakarta. Sampel penelitian menggunakan teknik purposive sampling, dengan kriteria: 1) UKM bergerak di bidang kerajinan, 2) UKM telah berdiri minimal 1 tahun, dan 3) UKM memiliki karyawan minimal 1 orang. Penelitian ini diuji dengan metode analisis regresi berganda untuk menguji pengaruh antara variabel independen (orientasi kepemimpinan dan inovasi) dan variabel dependen (keunggulan kompetitif). Uji hipotesis menggunakan uji t dengan signifikansi 5%. Hasil penelitian menunjukkan bahwa orientasi kepemimpinan tidak berpengaruh terhadap keunggulan kompetitif dengan signifikansi sebesar 0,081 (0,081 > 0,05). Hal ini terjadi karena beberapa faktor yang berperan dalam meningkatkan orientasi kepemimpinan seperti gaya kepemimpinan yang diterapkan, strategi yang dijalankan. Namun, inovasi memiliki pengaruh terhadap keunggulan kompetitif UKM kerajinan di Yogyakarta dengan tingkat signifikansi 0,016 (0,016 < 0,05). Inovasi, baik dalam hal pengembangan produk baru, penggunaan teknologi, atau peningkatan efisiensi operasional, terbukti menjadi faktor kunci dalam menentukan posisi UKM di pasar. Studi ini menunjukkan nilai adjusted R2 sebesar 0,157 yang berarti sejumlah 15,7% keunggulan kompetitif UKM bidang kerajinan di Yogyakarta dapat dijelaskan oleh orientasi kepemimpinan dan inovasi, sedangkan sisanya sebesar 84,30% dijelaskan variabel lain yang tidak ternuat dalam penelitian. Studi ini terbatas pada pengujian orientasi kepemimpinan dan inovasi yang perlu pengujian karakteristik UKM dan strategi sehingga studi mendatang perlu pengujian karakteristik UKM dan strategi bisnis agar hasil studi lebih baik.

PERBANDINGAN METODE FUZZY LOGIC DENGAN METODE WEIGHTED MOVING AVERAGE DALAM MEMPREDIKSI JUMLAH PASIEN RAWAT JALAN DI RSUD SITI FATIMAH AZ ZAHRA PALEMBANG

Muhammad Aulia Fadilah — 2024-12-23

Penelitian ini bertujuan untuk membandingkan efektivitas antara metode Fuzzy Logic dan metode Weighted Moving Average dalam memprediksi jumlah pasien rawat jalan di RSUD Siti Fatimah Az Zahra Palembang. Data yang digunakan adalah data historis jumlah pasien rawat jalan selama beberapa bulan terakhir. Metode Fuzzy Logic digunakan untuk mengatasi ketidakpastian dan kompleksitas dalam data, sementara metode Weighted Moving Average digunakan untuk menghitung rata- rata tertimbang dari data historis.Penelitian ini menggunakan pendekatan kuantitatif dengan analisis statistik untuk mengevaluasi keakuratan kedua metode dalam memprediksi jumlah pasien rawat jalan. Hasil penelitian menunjukkan bahwa metode Fuzzy Logic memberikan hasil yang lebih akurat dibandingkan dengan metode Weighted Moving Average dalam memprediksi jumlah pasien rawat jalan di RSUD Siti Fatimah Az Zahra Palembang.Temuan ini dapat memberikan kontribusi penting bagi manajemen rumah sakit dalam mengoptimalkan perencanaan dan pengelolaan layanan rawat jalan, sehingga dapat meningkatkan kualitas pelayanan kesehatan bagi masyarakat. Penelitian ini juga dapat menjadi dasar bagi penelitian lebih lanjut dalam pengembangan metode prediksi yang lebih canggih dan akurat dalam bidang kesehatan.

DINAMIKA IMBAL HASIL SAHAM PT SUMBER ALFARIA TRIJAYA TBK TERKENA OLEH VOLUME DAN NILAI TRANSAKSI SELAMA TIGA TAHUN TERAKHIR

Dixian Bhikuning — 2024-12-23

Penelitian ini bertujuan untuk menganalisis pengaruh nilai dan volume perdagangan terhadap imbal hasil saham pada PT Sumber Alfaria Trijaya, Tbk. Masalah utama yang dibahas dalam penelitian ini adalah sejauh mana nilai perdagangan dan volume perdagangan dapat memengaruhi imbal hasil saham perusahaan, serta kontribusi masing-masing variabel dalam menjelaskan variabilitas kinerja saham. Penelitian ini menggunakan pendekatan kuantitatif dengan memanfaatkan data sekunder yang dikumpulkan dari sumber resmi, seperti Bursa Efek Indonesia (BEI) dan platform perdagangan saham. Populasi penelitian mencakup data mingguan nilai dan volume perdagangan saham perusahaan selama periode Januari 2022 hingga September 2024, dengan teknik pengambilan sampel menggunakan metode sampel jenuh. Hasil analisis regresi menunjukkan bahwa model yang dibangun mampu menjelaskan sebagian varians dalam imbal hasil saham, meskipun kontribusi total dari variabel independen relatif kecil (R² = 0,001). Secara spesifik, nilai perdagangan tidak menunjukkan pengaruh yang signifikan terhadap imbal hasil saham, dengan koefisien regresi sebesar -13,809. Sementara itu, volume perdagangan memiliki pengaruh negatif yang signifikan terhadap imbal hasil saham. Temuan ini mengindikasikan bahwa aktivitas perdagangan saham perusahaan lebih banyak dipengaruhi oleh faktor lain di luar nilai dan volume perdagangan. Kesimpulannya, penelitian ini memberikan wawasan bahwa volume perdagangan cenderung menurunkan imbal hasil saham, sedangkan nilai perdagangan tidak memiliki dampak signifikan. Implikasi hasil ini dapat menjadi bahan pertimbangan bagi investor dan manajemen perusahaan dalam pengambilan keputusan strategis terkait perdagangan saham.

KAJIAN LITERATUR: UPAYA PENERAPAN CAPACITY BUILDING PADA ENTITAS NON-PROFIT

Bikorin — 2024-12-23

Tumbuh, berkembang dan dinamis menyesuaikan dengan keadaan serta perkembangan yang ada merupakan aspek pengelolaan entitas yang baik. Kemampuan dan upaya organisasi dalam rangka mewujudkan tujuan disebut sebagai kapasitas organisasi. Peningkatan kapasitas manjadi fokus utama dalam pengembangan sebuah organisasi. Capacity building merupakan mekanisme peningkatkan kemampuan organisasi guna memenuhi visi dan tujuan yang telah ditetapkan. Penelitian ini bertujuan untuk mengkaji dinamika yang terjadi dalam usaha entitas, utamanya organisasi non-profit dalam upaya mengimplementasikan capacity building. Penelitian ini menggunakan metode literature review dengan menganalisa berbagai kajian dalam jurnal ilmiah, baik lingkup nasional maupun internasioanl. Berkembangnya kapasitas organisasi secara bertahap mencakup berbagai aspek, termasuk organisasi, sistem, sumber daya manusia, dan sumber daya lainnya. Pada lingkup mikro berfokus pada individu dan mencakup perilaku serta sumber daya, sedangkan pada tingkat makro membahas kapasitas organisasi dan lembaga di tingkat nasional atau regional. Aspek ini berperan sangat fundamental, menjadi keterampilan yang wajib dipunyai oleh setiap organisasi. Selanjutnya partisipasi dari para stakeholder dalam tahapan peningkatan kapasitas memungkinkan entitas untuk tetap kompetitif. Berikutnya adalah implikasi capacity building pada entitas non-profit yakni kemampuan mereka dalam melaksanakan fundraising. Riset ini berguna bagi akademisi maupun praktisi, menjadi referensi dengan menampilkan data dan fakta terkait implementasi capacity building pada entitas non-profit. Keterbatasan dalam penelitian ini yaitu hanya menggunakan metode literature review, tentu mempunyai limitasi pada bahan kajian yang terbatas pada sumber primer dari literasi yang ada.

INDIKATOR KINERJA UMKM: INTELLECTUAL CAPITAL DAN FINANCIAL LITERACY

Anandita Zulia Putri — 2024-12-23

Intellectual capital dan financial literacy berperan penting dalam meningkatkan kinerja Usaha Mikro, Kecil, dan Menengah (UMKM). Intellectual capital membantu membangun kredibilitas tinggi yang dapat mengurangi risiko tindakan yang merugikan, sementara financial literacy meningkatkan kemampuan dalam mengelola keuangan dan mengambil keputusan yang bijak sehingga kinerja UMKM dapat meningkat. Penelitian ini bertujuan untuk mengetahui pengaruh intellectual capital (human capital, structural capital, dan customer capital) serta financial literacy terhadap kinerja UMKM. Penelitian ini dilakukan dengan menggunakan metode kuantitatif dan data primer. Populasi penelitian ini adalah pemilik dan pengelola UMKM sektor industri pengolahan di Kabupaten Kebumen, dengan jumlah sampel sebanyak 101 responden yang dipilih menggunakan metode purposive sampling. Teknik analisis yang digunakan dalam penelitian ini adalah regresi linear berganda. Hasil penelitian menunjukkan bahwa human capital, structural capital, customer capital, dan financial literacy berpengaruh positif dan signifikan terhadap kinerja UMKM. Rekomendasi untuk penelitian ini ialah memperluas sampel penelitian disemua sektor industri, menambahkan variabel independen sistem teknologi informasi dan financial technology, serta menambahkan metode penyebaran kuesioner offline serta wawancara langsung agar hasilnya lebih objektif.

EFEKTIVITAS STRUKTUR MODAL DAN KEPUTUSAN INVESTASI DALAM MENINGKATKAN NILAI PERUSAHAAN: STUDI PADA INDEKS LQ45

Farid Muhammad Rofifudin — 2024-12-23

Tujuan dari penelitian ini untuk menganalisis perkembangan nilai perusahaan-perusahaan di Indonesia selama periode 2020-2023. Analisis ini akan mencakup berbagai sektor industri untuk mendapatkan gambaran yang komprehensif mengenai bagaimana perusahaan-perusahaan di Indonesia merespons tantangan dan peluang yang muncul selama periode tersebut. Data penelitian adalah data sekunder berupa data laporan keuangan dan laporan tahunan. Sampel penelitian ini terdiri dari 55 perusahaan dipilih dari keseluruhan populasi yang diambil dengan menggunakan purposive sampling dan time series berdasarkan kriteria sampel berupa laporan keuangan perusahaan yang berada pada indeks LQ45 BEI tahun dan sampel menerbitkan laporan keuangan tahunan yang sudah diaudit pada tahun 2020- 2023. Hasil dari penelitian ini menyatakan bahwa Struktur Modal memiliki pengaruh positif signifikan terhadap Nilai Perusahaan dan Keputusan Investasi memiliki pengaruh negatif signifikan terhadap nilai perusahaan dalam konteks perusahaan-perusahaan LQ45. Penelitian ini memberikan bukti empiris mengenai praktik struktur modal dan keputusan investasi yang efektif dalam konteks perusahaan-perusahaan LQ45. Hasil penelitian ini dapat dijadikan acuan bagi manajemen perusahaan dalam merumuskan strategi keuangan yang lebih efektif dalam menghadapi tantangan dan perubahan di pasar saham Indonesia.

ANALISIS SUPPLY CHAIN MANAGEMENT DAN FAKTOR SUKSES BISNIS UMKM PADA PANGANAN HALAL

Ayuk Setiyawan — 2024-12-23

Bisnis UMKM menguasai pasar industri sebesar 99,9% hal tersebut menunjukan peran bisnis UMKM sangatlah penting. Selain itu, mewadahi 97% tenaga kerja nasional dan berkontribusi PDB sebesar 60%. Disisi lain, UMKM makanan dan minuman memiliki daya tahan paling rendah terhadap perubahan lingkungan industri sehingga perlu ada upaya penguatan daya tahan terhadap ketidakpastian lingkungan bisnis. Penelitian ini bertujuan untuk memahami supply chain management, mengetahui tingkat efisiensi dari bisnis UMKM, serta mengetahui apa yang menjadi faktor sukses bisnis UMKM makanan dan minuman halal di Surakarta pasca pandemi dan memasuki masa transisi 5.0. Penelitian ini menggunakan analisis efisiensi dan analisis struktural. Analisis efisiensi menggunakan pendekatan non-parametrik yang pengalahannya menggunakan DEAP. Analisis faktor sukses bisnis UMKM menggunakan analisis struktural. Penelitian menggunakan 20 variabel yang akan diolah menjadi variable dalam faktor sukses bisnis UMKM. Penelitian melibatkan akademisi, bisnis, pemerintah, dan komunitas (ABGC) dalam FGD untuk memperoleh kajian yang komprehensif. Analisis data menggunakan analisis struktural menggunakan MICMAC. Hasil penelitian menjelaskan masih banyak usaha makanan dan minuman belum mencapai tingkat efisiensi, baik dalam alokasi sumberdaya atau pencapaian outputnya. Hasil penelitian juga menjelaskan 5 variabel dari 20 variabel yang diguanakn untuk menentukan variabel atau faktor utama yang memiliki pengaruh tinggi dalam mendukung kinerja usaha, yatu berorientasi pada prestasi, pemasaran yang efektif, optimisme, pemahaman pasar dan pengelolaan risiko.

ANALISIS PENILAIAN SAHAM PT INDUSTRI JAMU DAN FARMASI SIDO MUNCUL TBK DALAM PENGAMBILAN KEPUTUSAN INVESTASI

Nadya Revania Rohman — 2024-12-23

Industri jamu dan farmasi merupakan salah satu sektor yang mengalami pertumbuhan positif, baik selama pandemi maupun pasca pandemi. PT Industri Jamu dan Farmasi Sido Muncul, Tbk. (SIDO) melaksanakan praktik tanggung jawab sosial dan lingkungan yang mencerminkan komitmen SIDO terhadap pembangunan berkelanjutan. Dalam upaya mencapai transformasi ekonomi yang berkelanjutan, penting untuk mengevaluasi kelayakan investasi SIDO. Penelitian ini bertujuan untuk menilai kelayakan investasi pada SIDO dengan menghitung nilai intrinsik saham menggunakan metode Dividend Discount Model (DDM). Penelitian ini bersifat deskriptif kuantitatif dengan menggunakan data sekunder melalui laporan tahunan SIDO selama lima tahun, dari tahun 2018 hingga 2023, serta menganalisis indikator keuangan seperti Return on Equity (ROE), Dividend Per Share (DPS), Earning Per Share (EPS), dan Dividend Payout Ratio (DPR). Hasil perhitungan dan analisis menunjukkan bahwa meskipun ROE mengalami penurunan, tingkat pertumbuhannya pun turun pada tahun 2023. Penurunan ini disebabkan oleh menurunnya permintaan konsumen terhadap produk kesehatan dan diperparah oleh fenomena cuaca El Niño yang ekstrem. Di sisi lain, hasil analisis nilai intrinsik saham SIDO menunjukkan bahwa harga sahamnya lebih rendah dari nilai pasarnya, atau undervalued. Meskipun demikian, saham SIDO layak dijadikan investasi jangka panjang karena hasil analisis keuangan menunjukkan bahwa SIDO memiliki kinerja keuangan yang kuat dan potensi pertumbuhan yang baik.

PENGEMBANGAN INTERPRETASI SEBAGAI BENTUK INOVASI WISATA BUDAYA DI GOA JEPANG SELOHARJO PUNDONG BANTUL

Aditha Agung Prakoso — 2024-12-23

Wisata budaya merupakan wisata yang syarat akan nilai kebaharuan dan pengetahuan, namun sering dikonotasikan dengan kegiatan wisata yang kuno dan cenderung membosankan, terutama wisata budaya berbasis cagar budaya dan sejarah. Kalurahan Seloharjo mempunyai potensi wisata goa dengan keberadaan Goa Jepang yang memiliki nilai budaya dan sejarah, terutama sejarah kependudukan Jepang di Indonesia. Saat ini kegiatan wisata di kawasan tersebut stagnan dan terbatas, oleh sebab itu diperlukan akselerasi wisata yang dapat menjawab tantang tersebut. Studi ini bertujuan untuk mengembangkan interpretasi wisata budaya dan sejarah Goa Jepang dengan pengembangan paket wisata, storytelling, dan alat pendukung interpretasi. Metode yang digunakan pada studi ini adalah metode kualitatif untuk mengali informasi Goa Jepang secara mendalam agar dapat dihasilkan bahan interpretasi yang dapat diimplentasikan oleh interpreter dan fasilitas fisik pendukung interpretasinya, seperti selebaran, papan petunjuk, dan papan informasi. Diharapkan dengan pengembangan inovasi pada kegiatan wisata budaya tersebut, maka pengembangan wisata di Goa Jepang dapat lebih meningkat secara kualitas maupun kuantitas.

STRATEGI PENGEMBANGAN INKUBATOR BISNIS TEKNOLOGI UNTUK MENINGKATKAN DAYA SAING INDUSTRI TEKSTIL DAN PRODUK TEKSTIL

Amar — 2024-12-23

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis strategi pengembangan inkubator bisnis yang fokus pada teknologi tekstil dan produk tekstil. Industri tekstil dan produk tekstil yang terus berkembang, inkubator bisnis berperan penting dalam mendukung inovasi dan kolaborasi. Metode penelitian yang digunakan meliputi studi literatur, wawancara, observasi dan dokumentasi pada inkubator bisnis Akademi Komunitas Industri Tekstil dan Produk Tekstil Surakarta (AK-Tesktil Solo). Hasil penelitian menunjukkan bahwa ada beberapa kunci strategi untuk pengembangan inkubator bisnis teknologi tekstil dan produk tekstil. Diantaranya, inkubator teknologi menyediakan akses ke sumber daya yang krusial, seperti teknologi mutakhir, pelatihan, dan mentoring, yang mendukung tenant dalam mengembangkan produk inovatif. Inkubator Bisnis bertindak sebagai jembatan yang menghubungkan tenant dengan universitas, pemerintah, dan asosiasi industri, sehingga mendorong kolaborasi yang menghasilkan inovasi lebih cepat. Kolaborasi ini meningkatkan kemampuan tenant untuk berinovasi dalam produk dan proses bisnis, sehingga lebih siap menghadapi persaingan global. Inkubator Bisnis teknologi berperan sebagai agen perubahan yang dapat mempercepat difusi inovasi melalui dukungan teknis dan pendampingan. Inkubator Bisnis membantu tenant dalam mengembangkan kapabilitas dinamis yang memungkinkan mereka untuk beradaptasi dengan perubahan pasar dan teknologi.

PENGARUH KUALITAS PELAYANAN, HARGA, LOKASI, DAN FASILITAS TERHADAP MINAT BELI ULANG JASA CUT RO BARBERSHOP DENGAN KEPERCAYAAN PELANGGAN SEBAGAI VARIABEL INTERVENING MENGGUNAKAN PENDEKATAN STRUCTURAL EQUATION MODELING (SEM)

Hilwa Dwi Putri Nabiha — 2024-12-23

Pertumbuhan industri kreatif yang pesat di Balikpapan telah mendorong pertumbuhan bisnis "barbershop", termasuk Cut Ro Barbershop. Namun, tantangan seperti penurunan jumlah pengunjung dan meningkatnya keluhan pelanggan menghambat pertumbuhan usaha. Penelitian ini menyelidiki pengaruh kualitas layanan, harga, lokasi, dan fasilitas terhadap niat beli ulang, dengan kepercayaan pelanggan sebagai variabel mediasi. Data dikumpulkan dari 110 responden pria yang pernah menggunakan jasa barbershop. Analisis Structural Equation Modeling (SEM) menggunakan perangkat lunak R Studio digunakan untuk mengevaluasi hubungan antar variabel. Temuan menunjukkan bahwa kualitas pelayanan secara signifikan dan positif mempengaruhi kepercayaan pelanggan, yang pada gilirannya meningkatkan minat beli ulang. Hal ini menyoroti peran penting kepercayaan dalam menumbuhkan loyalitas. Meskipun harga, lokasi, dan fasilitas juga berkontribusi terhadap retensi pelanggan, dampak langsungnya terhadap kepercayaan dan minat beli ulang relatif lebih lemah. Berdasarkan temuan tersebut, penelitian ini merekomendasikan agar Cut Ro Barbershop fokus pada peningkatan kualitas pelayanan melalui peningkatan daya tanggap, keramahan, dan pelayanan pelanggan secara keseluruhan. Selain itu, peningkatan fasilitas, penerapan strategi harga yang kompetitif, dan pemastian lokasi yang strategis dan mudah diakses sangat penting untuk meningkatkan kepuasan dan loyalitas pelanggan. Penelitian ini memberikan wawasan yang berharga mengenai peran mediasi kepercayaan pelanggan dan strategi praktis untuk meningkatkan retensi pelanggan dalam industri jasa. Langkah-langkah yang direkomendasikan dapat membantu barbershop mengatasi tantangan saat ini, mempertahankan basis pelanggannya, dan mencapai keberlanjutan bisnis jangka panjang di pasar yang kompetitif.

IMPLEMENTASI METODE CAMEL : PERBANDINGAN KINERJA KEUANGAN BANK KONVENSIONAL DENGAN BANK SYARIAH TAHUN 2021-2023

Civi Erikawati — 2024-11-23

Munculnya bank syariah pasti akan meningkatkan kompetisi di pasar bank. Banyak faktor yang mempengaruhi pertumbuhan perbankan di Indonesia. Kondisi ini memiliki dua ancaman yang harus diperhatikan karena dapat menunjukkan kelemahan perbankan global. Penelitian ini bertujuan untuk membandingkan kinerja keuangan antara Bank Konvensional dengan Bank Syariah selama periode 2020-2023 dengan menggunakan penedekatan CAMEL. Metode penelitian ini menggunakan deskriptif komparatif melalui pendekatan kuantitatif. Data yang digunakan adalah laporan keuangan Bank Konvensional dan Bank Syariah periode 2020-2023. Hasil uji statistic deskriptif menunjukkan bahwa ssebagian besar rasio keuangan kedua bank termasuk dalam kategori baik atau sangat baik. Bank konvensional dan Bank Syariah tidak memiliki perbedaan yang signifikan dalam kinerja keuangan yang dilihat dari indicator ROA dan CAR. Sedangkan pada indicator ROE, LDR, BOPO menunjukkan bahwa tidak ada perbedaan yang siginifikan dalam kinerja keuangan antara bank konvensional dan bank syariah. Kinerja Bank Syariah menunjukkan kinerja yang lebih baik daripada bank konvensional dalam hal ROA, CAR, dan BOPO yang memiliki nilai rasio yang lebih tinggi. Bank konvensional menunjukkan kinerja yang lebih baik dalam indicator ROE dan LDR.

EFEKTIVITAS PENGGUNAAN ARTIFICIAL INTELLIGENCE DALAM ANALISIS PERILAKU KONSUMEN DI BISNIS E-COMMERCE

Dison Librado — 2024-12-23

Penelitian ini membahas permasalahan terkait efektivitas penggunaan Artificial Intelligence (AI) dalam menganalisis perilaku konsumen di bisnis e-commerce, terutama bagaimana AI dapat meningkatkan loyalitas pelanggan. Tujuan penelitian ini adalah untuk mengevaluasi sejauh mana AI berperan dalam memberikan rekomendasi produk yang relevan, pengalaman personalisasi yang memuaskan, serta interaksi konsumen dengan fitur AI. Metode penelitian menggunakan pendekatan kuantitatif dengan analisis regresi linier berganda yang melibatkan data simulasi dari 200 responden. Hasil penelitian menunjukkan bahwa ketiga variabel tersebut memiliki pengaruh signifikan terhadap loyalitas pelanggan, dengan relevansi rekomendasi produk berbasis AI sebagai faktor yang paling berpengaruh. Kesimpulannya, AI berkontribusi positif dalam membangun loyalitas pelanggan melalui personalisasi yang lebih efektif, yang memiliki implikasi praktis bagi optimalisasi strategi e-commerce.Dengan demikian, penelitian ini memperluas literatur yang ada tentang peran AI dalam e-commerce dan membuka peluang bagi studi lanjutan terkait elemen AI lainnya yang dapat mempengaruhi loyalitas pelanggan secara signifikan.

PENERAPAN MACHINE LEARNING (MODEL PROPHET) DALAM PREDIKSI PERMINTAAN PRODUK UNTUK MENGOPTIMALKAN INVENTORI

Basuki Heri Winarno — 2024-11-23

Penelitian ini bertujuan untuk meningkatkan akurasi prediksi permintaan produk frozen food Perusahaan Dua Bunda guna mengoptimalkan manajemen inventori. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis deret waktu dan menerapkan model machine learning Prophet. Data permintaan mingguan dari Januari 2022 hingga Desember 2023 (dengan jumlah total104 data) dianalisis dengan menggunakan teknik analisis deskriptif untuk mengidentifikasi pola musiman dan tren yang mendasari.Analisis deskriptif menunjukkan adanya pola musiman yang kuat pada data permintaan, yang dipengaruhi oleh faktor-faktor seperti hari raya dan musim. Berdasarkan temuan ini, model Prophet, yang dirancang khusus untuk data deret waktu dengan komponen tren, musiman, dan hari libur, dipilih untuk melakukan prediksi. Model ini diimplementasikan menggunakan bahasa pemrograman Python.Hasil evaluasi model menunjukkan nilai MAE 2.35 unit, MSE 8.75 unit, RMSE 2.96 unit, dan MAPE 3.21%, mengindikasikan tingkat akurasi yang relatif baik. Meskipun terdapat sedikit perbedaan prediksi akibat pergeseran hari raya Lebaran 2024, model Prophet mampu menangkap pola permintaan secara umum dan memberikan hasil prediksi yang reliabel. Dengan demikian, model Prophet dapat menjadi alat yang efektif untuk mendukung pengambilan keputusan terkait perencanaan produksi dan pengelolaan inventori pada Perusahaan Dua Bunda.

INTEGRASI METODE AVERAGE DALAM SISTEM INFORMASI INVENTORI : SOLUSI PENGELOLAAN PERSEDIAAN BISNIS RITEL

Dara Kusumawati — 2024-12-23

Pengelolaan persediaan yang tidak efisien sering kali menjadi tantangan dalam bisnis ritel, terutama bagi usaha kecil dan menengah. Ketidaktepatan pencatatan stok dan fluktuasi harga barang dapat menyebabkan permasalahan seperti biaya operasional yang tinggi dan kesalahan dalam perencanaan pengadaan. Penelitian ini bertujuan untuk mengintegrasikan metode average ke dalam sistem informasi inventori untuk meningkatkan efisiensi pengelolaan persediaan dan akurasi pencatatan biaya.
Metode penelitian melibatkan data persediaan dari Januari hingga Desember 2024, yang mencakup transaksi barang masuk dan keluar. Data diolah menggunakan metode average untuk menentukan biaya rata-rata per unit barang yang tersimpan. Hasil penelitian menunjukkan bahwa metode average dalam menjaga stabilitas biaya rata rata per unit barang meskipun terjadi fluktuasi harga pembelian. Dengan perhitungan biaya rata rata yang diperbaharui setiap kali ada pembelian, metode ini memungkinkan pengelolaan biaya persediaan yang lebih efisien dan responsif terhadap perubahan harga pasar. Kebaruan penelitian ini terletak pada penerapan metode average sebagai solusi adaptif bagi bisnis ritel yang sering menghadapi perubahan harga pasar yang cepat. Metode ini memberikan pendekatan yang lebih mudah diterapkan dan lebih efisien dibandingkan metode pengelolaan persediaan lainnya, serta dapat meningkatkan akurasi perhitungan biaya persediaan secara otomatis. Dengan demikian, penelitian ini berkontribusi pada pengembangan sistem informasi inventori yang lebih efisien dan dapat diandalkan dalam menghadapi tantangan fluktuasi harga di bisnis ritel.

KEAMANAN DALAM SISTEM PERDAGANGAN ELEKTRONIK (NIAGA-el) DENGAN PEMBAYARAN CASH ON DELIVERY (COD)

Dina Andayati — 2024-12-23

Dalam berbelanja online, memilih dan menentukan bermacam barang yang dikehendaki atau dibutuhkan semakin mudah dan praktis berkat adanya layanan e-commerce. Layanan e-commerce dengan mudah diakses melalui smartphone, barang yang dipilih atau diinginkan bisa sampai ke depan rumah. Waktu berbelanja online, ada beberapa hal yang yang perlu diperhatikan mulai dari produk yang diinginkan, kemudian yang dipesan, bentuk promosi yang ditampilkan, dan diskon yang ada hingga bentuk atau metode pembayarannya. Hal ini perlu diperhatikan demi keamanan saat pembelian, aman uang yang dibayar sesuai kesepakatan yang ada dan barang yang diterima benar atau cocok dengan pesanan dari promosi yang ditampilkan. Saat ini telah memasuki era digital, untuk berbelanja online terdapat bermacam cara pembayaran digital yang dapat dipilih oleh pembeli atau pelanggan. Pembayaran bisa melalui transfer atau kirim uang melalui bank. Namun bagi yang belum mempunyai rekening tabungan bank maupun kartu kredit, maka dalam pembayaran dapat menggunakan Cash on Delivery (COD) atau Bayar di Tempat sehingga dalam berbelanja menjadi lebih mudah dan praktis. Dalam transaksi perdagangan secara online, kemungkinan bisa terjadi ketidak sesuaian antara besarnya uang yang harus dibayarkan atau keadaan barang yang tidak sesuai dengan barang yang dipesan atau dipromosikan atau terjadi tindak penipuan. Ketidak sesuaian ini, tertulis dari pengaduan konsumen kepada Direktorat Jenderal Perlindungan Konsumen dan Tertib Niaga (PKTN) Kementerian Perdagangan (Kemendag) yang bertujuan untuk berupaya menjamin kepastian hukum dan memberikan perlindungan kepada seluruh konsumen Indonesia. Untuk menjaga keamanan dipastikan bahwa pembayaran lewat kurir sama dengan pembayaran saat bertransaksi dengan pihak penjual barang, kemudian sebelum dibayarkan dipastikan dulu bahwa barang yang dibeli sesuai kesepakatan, juga dalam berhubungan secara online dengan pihak penjual tidak terjadi kendala, sehingga tidak ada keraguan dalam melakukan transaksi.

URGENSI TRANSISI ENERGI DALAM UPAYA PENAGANAN PERUBAHAN IKLIM

Suci Damayanti — 2024-12-23

Tulisan ini bertujuan untuk membahas isu transisi energi yang sedang menjadi focus negara-negara dan organisasi internasional termasuk Indonesia. Terdapat dua isu yang akan dibahas. Pertama, mengenai urgensi transisi energi dari energi fosil ke energi terbarukan kaitannya perubahan iklim. Kedua, mengenai bagaimana upaya dan komitmen Indonesia untuk mendorong tercapainya transisi energi. Untuk menjawab kedua hal tersebut, penulis melakukan penelusuran studi kepustakaan baik melalui peraturan perundang-undangan, buku-buku, maupun situs resmi yang terkait. Hasil penelitian menunjukkan bahwa transisi energi diperlukan untuk mengurangi dan menghentikan laju perubahan iklim, selain itu Indonesia juga perlu melakukan upaya-upaya untuk mewujudkan komitemennya dalam upaya transisi energi. Kesimpulannya adalah bahwa Indonesia berkomitmen untuk mendorong percepatan transisi energi ke energi terbarukan melalui berbagai kebijakan hukum yang diwujudkan dalam bentuk peraturan perundang-undangan, memastikan kesiapan tenaga kerja, pemanfaatan teknologi dan harmonisasi peraturan, serta segera mengesahkan RUU Energi Baru dan Energi Terbarukan.

EVALUASI FAKTOR-FAKTOR KEBERHASILAN UNTUK KESUKSESAN IMPLEMENTASI ERP: PERSPEKTIF MANAJEMEN PERUBAHAN

Nungky Amalia Imran — 2024-12-23

Penelitian ini mengeksplorasi peran manajemen perubahan dalam implementasi sistem Enterprise Resource Planning (ERP). Masalah utama yang dihadapi adalah tantangan integrasi proses bisnis dan peningkatan efisiensi operasional yang sering terhambat oleh resistensi terhadap perubahan dan kurangnya dukungan manajemen. Metodologi yang digunakan adalah tinjauan literatur sistematis, yang melibatkan pencarian di berbagai basis data dan menghasilkan 30 artikel relevan yang diterbitkan antara tahun 2000 dan 2023. Hasil penelitian mengidentifikasi empat kategori utama peran manajemen perubahan dalam implementasi ERP: organisasi, sumber daya manusia, teknologi, serta kesuksesan dan evaluasi. Faktor Kritis Keberhasilan (CSFs) yang mempengaruhi implementasi ERP termasuk dukungan manajemen puncak, manajemen proyek, keterlibatan pengguna, pelatihan, dan komunikasi efektif. Berdasarkan hasil analisis yang telah dilakukan, dapat disimpulkan bahwa strategi manajemen perubahan yang efektif, seperti Kotter's 8-Step Change Model, Lewin's Change Management Model, dan ADKAR Model sangat penting untuk mengatasi resistensi dan memastikan kesiapan organisasi, yang pada akhirnya meningkatkan kinerja keseluruhan. Penelitian lebih lanjut dapat difokuskan pada evaluasi kinerja ERP dan eksplorasi hubungan antar CSFs untuk mengembangkan kerangka konseptual yang komprehensif dalam membimbing organisasi dalam implementasi ERP.

ANALISIS NIAT PEMBELIAN IMPULSIF MELALUI FITUR LIVE STREAMING SHOPEE

Muhammad Rafli Pratama — 2024-11-23

Penelitian ini bertujuan untuk mengetahui pengaruh permintaan, kenyamanan, interaktivitas, kesenangan dan kenikmatan terhadap niat pembelian impulsif di Shopee live. Penelitian ini dilakukan pada pengguna shopee Indonesia yang pernah menggunakan fitur shopee live dan bertempat tinggal di Indonesia. Sampel dalam penelitian ini berjumlah 310 responden dengan pengambilan sampel menggunakan Teknik purposive sampling dan teknik analisis data menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan menggunakan software Smart- PLS 4.0. Metode analisis data pada penelitian ini terdiri dari. Uji outer model yang terdiri dari validitas Konvergen, Validitas Diskriminan, dan Uji Reliabilitas. Sedangkan inner model yang dilakukan pada penelitian ini terdiri dari, Goodness of Fit (GoF), F-Square ( Effect Size), dan R-Square dan Uji Hipotesis. Hasil penelitian menunjukkan variabel kenyamanan dan kesenangan berpengaruh positif dan signifikan terhadap kenikmatan. Sedangkan variabel permintaan dan interaktivitas tidak berpengaruh terhadap kenikmatan. Lalu variabel kenikmatan berpengaruh positif dan signifikan terhadap niat pembelian impulsif

MEMBANGUN PURCHASE INTENTION MELALUI EVENT MARKETING DAN BRAND IMAGE: STUDI BUSANA MUSLIM TERKINI

Auliya Nurmalasari — 2024-12-23

Penelitian ini meneliti terkait Industri ritel, khususnya sektor fashion, menghadapi tantangan besar pada tahun 2023, dipengaruhi oleh perkembangan teknologi, perubahan perilaku konsumen, dan dinamika ekonomi yang terus berubah. Dalam sektor fashion muslim, perusahaan berlomba menarik minat konsumen melalui strategi pemasaran yang kreatif, seperti event marketing, yang berfungsi untuk memperkenalkan produk, meningkatkan kesadaran merek, dan mendidik masyarakat tentang pentingnya busana sesuai syariat. Peningkatan niat beli (purchase intention) melalui event marketing dan brand image dengan studi kasus pada busana muslim terkini. Peneliti ini menggunakan 125 responden muslim yang memang menyukai produk busana muslim (sering menggunakannya). Metode pada penelitian ini adalah metode kuantitatif dan alat yang digunakan pada penelitian ini adalah SPSS untuk uji instrument dan hipotesis. Hasil penelitian menunjukkan bahwa, event marketing berpengaruh signifikan terhadap purchase intention, kemudian untuk brand image tidak mempengaruhi purchase intention, namun brand image mampu memoderasi hubungan event marketing terhadap purchase intention.

OPTIMALISASI SUPPLY CHAIN MANAGEMENT MENGGUNAKAN INTEGRASI BIG DATA DAN ARTIFICIAL NEURAL NETWORK UNTUK PREDIKSI PERMINTAAN PRODUK UMKM

Edy Prayitno — 2024-12-23

Supply Chain Management (SCM) menjadi salah satu tantangan utama bagi Usaha Mikro, Kecil, dan Menengah (UMKM), terutama dalam menghadapi fluktuasi permintaan produk. Prediksi permintaan yang tidak akurat dapat menyebabkan masalah serius seperti kelebihan atau kekurangan stok, yang berujung pada inefisiensi operasional. Penelitian ini bertujuan untuk mengoptimalkan prediksi permintaan produk UMKM dengan mengintegrasikan teknologi Big Data dan Artificial Neural Network (ANN) dalam SCM. Data penjualan historis dan perilaku konsumen selama tiga tahun terakhir digunakan sebagai dataset. Setelah dilakukan preprocessing dan normalisasi data menggunakan metode Big Data, model ANN dilatih untuk memprediksi permintaan produk. Hasil prediksi dibandingkan dengan metode konvensional seperti regresi linier dan moving average. Hasil penelitian menunjukkan bahwa model ANN memberikan tingkat akurasi prediksi yang lebih tinggi dengan Mean Absolute Percentage Error (MAPE) sebesar 3.45%, lebih rendah dibandingkan regresi linier (7.89%) dan moving average (10.56%). Ini menunjukkan bahwa ANN mampu memproses data yang kompleks dan memberikan prediksi yang lebih akurat, yang pada akhirnya dapat mengurangi risiko SCM, terutama dalam hal pengelolaan inventaris dan distribusi. Penelitian ini menyimpulkan bahwa integrasi Big Data dan ANN merupakan solusi efektif untuk meningkatkan efisiensi SCM di sektor UMKM. Meski demikian, terdapat tantangan dalam hal infrastruktur teknologi dan literasi digital yang perlu diatasi agar UMKM dapat mengadopsi teknologi ini secara lebih luas

PENGARUH JENJANG KARIR DAN KOMPENSASI TERHADAP PERILAKU QUIET QUITTING PADA KARYAWAN MILENIAL DENGAN WORK-LIFE BALANCE SEBAGAI VARIABEL MODERATING

Linda Pebriani — 2024-12-23

Keberhasilan suatu perusahaan sangat dipengaruhi oleh kinerja karyawan, di mana sumber daya manusia yang berkualitas menjadi aset penting dalam menciptakan keunggulan kompetitif. Penelitian ini bertujuan untuk mengukur pengaruh jenjang karir dan kompensasi terhadap tingkat quiet quitting di kalangan karyawan generasi milenial di Yogyakarta, dengan work-life balance sebagai variabel moderasi. Hasil survei menunjukkan bahwa faktor-faktor seperti pengembangan karir yang jelas dan kompensasi yang adil berperan signifikan dalam mengurangi kecenderungan quiet quitting, yang semakin marak di kalangan karyawan muda akibat tekanan beban kerja dan ketidakpuasan terhadap lingkungan kerja. Quiet quitting, yang mencerminkan keengganan karyawan untuk melampaui tanggung jawab pekerjaan dasar, menjadi fenomena yang perlu diperhatikan oleh manajemen. Penelitian ini juga menyoroti pentingnya work-life balance dalam menjaga motivasi dan kepuasan kerja karyawan, yang berkontribusi pada produktivitas perusahaan. Metode yang digunakan dalam penelitian ini meliputi survei kepada 267 karyawan milenial di Yogyakarta, diikuti dengan analisis data menggunakan uji validitas, reliabilitas, dan regresi. Hasil penelitian menunjukkan bahwa kompensasi berpengaruh signifikan terhadap perilaku quiet quitting, sedangkan jenjang karir tidak memiliki pengaruh signifikan. Namun, work-life balance terbukti memoderasi pengaruh jenjang karir dan kompensasi terhadap quiet quitting. Temuan ini memberikan wawasan penting bagi organisasi dalam merancang strategi pengembangan karir dan sistem kompensasi yang lebih efektif untuk meningkatkan keterlibatan karyawan dan mengurangi risiko quiet quittin.

ANALISIS BEBAN KERJA MENTAL MENGGUNAKAN METODE NASA-TLX DAN RSME PADA DEPARTEMEN ADMINISTRASI DI PT. XYZ BALIKPAPAN

Sarah Shafira Ibrahim — 2024-12-23

PT. XYZ cabang Balikpapan merupakan perusahaan yang melakukan kegiatan bisnis berupa perdagangan dan mendistribusikan alat-alat berat dan kendaraan kepada customers yang berada di wilayah Kalimantan dan Sulawesi. Setiap tahun target dalam perdagangan dan mendistribusikan alat-alat berat terus meningkat sekitar 9%-18%. Tingginya target yang diminta berpengaruh terhadap beban kerja di Departemen Administrasi. Untuk mengetahui besarnya beban kerja mental yang dirasakan pada karyawan di Departemen Administrasi, dilakukan penelitian dengan menerapkan metode NASA-TLX dan RSME. Pada hasil penelitian didapatkan dengan metode NASA-TLX Karyawan 2 memiliki skor tertinggi sebesar 76,67. Sedangkan, pada metode RSME karyawan 8 memiliki skor tertinggi sebesar 80. Terdapat perbedaan karyawan yang memiliki skor tertinggi pada metode NASA-TLX dan RSME. Hal tersebut dikarenakan indikator yang digunakan pada kedua metode tersebut memiliki perbedaan. Indikator yang memiliki persentase paling tinggi dengan metode NASA-TLX yaitu indikator Performance (P) dengan persentase sebesar 19,64%. Sedangkan dengan metode RSME yaitu indikator Performansi Kerja (PK) dengan persentase sebesar 18,36%. Diharapkan perusahaan dapat menerapkan rekomendasi yang telah diberikan agar mengurangi beban kerja mental karyawan pada Departemen Administrasi yaitu menambah karyawan AR Officer dan ADM PDC karena kedua karyawan tersebut memiliki beban kerja mental yang paling tinggi, membuat schedule sebelum melaksanakan meeting, menyediakan fasilitas kerja tambahan seperti komputer/PC,AC baru, dan printer.

ANALISIS LAPORAN KEUANGAN UNTUK MENGETAHUI GRAFIK PERKEMBANGAN PT PERTAMINA EP DI JAKARTA SELATAN PADA PERIODE 2019-2021

David Fajar Prabowo — 2024-12-23

Tujuan dari studi ini adalah dalam mengevaluasi kinerja keuangan PT Pertamina EP Jakarta Selatan tahun 2019 sampai dengan tahun 2021 berdasarkan rasio likuiditas, solvabilitas, dan profitabilitas. Penelitian ini bertujuan untuk mengetahui kinerja keuangan PT Pertamina EP Jakarta Selatan tahun 2019-2021 berdasarkan parameter likuiditas, solvabilitas, dan profitabilitas.Bidang usaha utama dalam industri minyak dan gas adalah PT Pertamina EP. Metode dokumentasi juga digunakan dalam strategi pengumpulan informasi lainnya. Berdasarkan temuan penelitian yang dilakukan, rasio likuiditas, yang ditentukan oleh rasio lancar, menyusut setiap tahun antara tahun 2019 yang merupakan tahun yang sangat baik dan tahun 2021 yang merupakan tahun yang buruk. Rasio utang terhadap ekuitas dan rasio utang terhadap aset digunakan untuk menghitung rasio solvabilitas. Dibandingkan dengan rasio utang terhadap warisan, statistik rasio utang terhadap warisan pada tahun 2019–2021 dilaporkan buruk. Setiap tahun, rasio ekuitas turun; pada tahun 2019 dianggap oke; pada tahun 2020, kondisinya cukup baik; dan di tahun 2021 kurang bagus. Sebaliknya, rasio profitabilitas yang dihitung memanfaatkan Net Profit Margin menunjukkan hasil yang tidak menentu sebab di tahun 2019 sangat baik, namun menurun menjadi cukup baik pada tahun 2020 sebelum meningkat menjadi kriteria sangat baik pada tahun 2021.

PENGARUH SIKAP DAN NORMA SUBJEKTIF PADA NIAT BELI PRODUK MENSTRUAL CUP KONSUMEN ZILINEAL DAN MILENIAL

Anggun Sulistyowati — 2024-12-23

Pencemaran lingkungan yang dihasilkan salah satunya dihasilkan oleh konsumsi yang dilakukan KLHK menyebutkan tahun 2020 wilayah lautan Indonesia tercemar oleh 67,8 juta ton sampah. Jumlag komposisi sampah paling besar adalah sampah rumah tangga sebesar 42,23%. Untuk mengurangi dampak lingkungan yang terjadi, semua pihak perlu berperan dalam menjalani kehidupan yang berkelanjutan. Peran baik dari pebisnis maupun konsumen menjadi aspek penting dalam upaya ini. Sebagai konsumen, salah satu langkah untuk mengurangi pencemaran adalah dengan memilih dan menggunakan produk yang ramah lingkungan. Berdasarkan permasalahan tersebut, penelitian ini bertujuan untuk mengetahui pengaruh sikap dan norma subjektif terhadap niat beli produk ramah lingkungan, yaitu menstrual cup, di kalangan perempuan milenial dan zilenial di Indonesia. Penelitian ini menggunakan metode kuantitatif dengan teknik purposive sampling dan dilakukan melalui survei daring menggunakan Google Form. Penelitian ini melibatkan 100 responden yang berusia antara 17 hingga 41 tahun dan belum pernah membeli produk menstrual cup. Analisis data dilakukan dengan metode PLS-SEM menggunakan perangkat lunak SmartPLS. Hasil analisis menunjukkan bahwa sikap berpengaruh positif dan signifikan terhadap niat beli, sedangkan norma subjektif tidak berpengaruh signifikan dan positif terhadap niat beli. Berdasarkan hasil analisis penelitian diketahui bahwa sikap memiliki pengaruh signifikan dan positif terhadap niat beli, sedangkan norma subjektif tidak mempunyai pengaruh yang positif dan tidak signifikan.

PENGARUH JENJANG KARIR DAN KOMPENSASI TERHADAP PERILAKU QUIET QUITTING PADA KARYAWAN MILENIAL DENGAN WORK-LIFE BALANCE SEBAGAI VARIABEL MODERATING

Linda Pebriani — 2024-12-23

MODEL PENERIMAAN E-LEARNING DI MAHASISWA S1 AKUNTANSI

Raditya Riza Prayoga — 2024-11-23

Penelitian ini bertujuan untuk menganalisis penerimaan e-learning di kalangan mahasiswa Program Studi S1 Akuntansi Universitas Bengkulu dengan menggunakan model Technology Acceptance Model (TAM) dan Diffusion of Innovation (DOI). Data dikumpulkan melalui kuesioner yang disebarkan kepada mahasiswa via Googleform dan dianalisis menggunakan regresi linear berganda. Hasil penelitian menunjukkan bahwa persepsi kegunaan (perceived usefulness) dan persepsi kemudahan penggunaan (perceived ease of use) memiliki pengaruh signifikan terhadap penerimaan e-learning. Selain itu, keunggulan relatif (relative advantage) dan kompatibilitas (compatibility) juga berpengaruh positif terhadap sikap mahasiswa dalam mengadopsi e-learning. Namun, kompleksitas tidak menunjukkan pengaruh signifikan terhadap penerimaan. Temuan ini memberikan implikasi penting bagi pengembangan platform e-learning, kebijakan pendidikan, dan strategi pengajaran di pendidikan tinggi. Dengan memahami faktor-faktor yang memengaruhi adopsi e-learning, institusi pendidikan dapat menciptakan lingkungan e-learning yang lebih efektif dan ramah pengguna serta lebih sesuai dengan kebutuhan mahasiswa. Penelitian ini menawarkan wawasan berharga untuk meningkatkan desain dan implementasi e-learning dalam konteks pendidikan tinggi

PENGARUH JOB HOPPING TERHADAP PENGEMBANGAN KARIR GENERASI Z

Idam Wahyudi — 2024-12-23

Penelitian ini bertujuan untuk mengkaji secara komprehensif pengaruh job hopping terhadap pengembangan karir. Melalui pendekatan empiris, penelitian ini akan mengeksplorasi faktor-faktor yang mendorong terjadinya job hopping. Penelitian ini diharapkan dapat memberikan wawasan yang bermanfaat bagi para praktisi sumber daya manusia, akademisi, serta karyawan dalam memahami dan mengelola fenomena job hopping dalam konteks pengembangan karir modern.Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif. . Penentuan besaran sampel pada penelitian ini menggunakan rumus Lameshow (1997), karena jumlah populasi tidak diketahui. Berdasarkan hasil analisis data dan pembahasan penelitian, dapat disimpulkan bahwa variabel Job Hopping (X) memiliki pengaruh terhadap variabel Pengembangan Karir (Y) pada Generasi Z. Hasil penelitian ini menunjukkan bahwa, meskipun job hopping berisiko, ketika dilakukan dengan strategi yang tepat, hal itu dapat memberikan kontribusi positif terhadap pengembangan karir seseorang.Untuk penelitian selanjutnya, disarankan untuk menggunakan sampel yang lebih besar. Dengan peningkatan jumlah sampel, hasil analisis yang didapat akan lebih akurat. Penelitian lebih lanjut pada aspek yang sama juga diperlukan untuk menguji konsistensi hasil penelitian ini. Selain itu, disarankan untuk menambahkan faktor-faktor lain yang mempengaruhi job hopping dan pengembangan karir karyawan, sehingga penelitian di masa depan dapat memberikan hasil yang lebih komprehensif.

MODEL KINERJA TENAGA KEPENDIDIKAN BERBASIS INTEGRASI SPIRITUAL LEADERSHIP THEORY, MOTIVATION THEORY DAN ISLAMIC SPIRITUAL THEORY

Suci Utami Wikaningtyas — 2024-11-23

Tujuan studi ini adalah menguji dan menganalisis faktor spiritual leadership dan motivasi terhadap kinerja tenaga kependidikan dengan kepuasan kerja sebagai variabel intervening. Sampel studi ini tenaga kependidikan di Surakarta, dengan metode Path Analysis. Hasil penelitian menunjukkan bahwa Spritual leadership, motivasi dan kepuasan kerja berpengaruh positif terhadap kinerja tenaga kependidikan. Spiritual leadership dan motivasi berpengaruh positif terhadap kepuasan kerja. Kepuasan kerja memediasi pengaruh spiritual leadership dan motivasi terhadap kinerja tenaga kependidikan. Mengingat hal itu maka pimpinan mesti memperhatikan kepuasan kerja tenaga kependidikan. Disamping itu, karena mayoritas penduduk Surakarta beragama Islam, maka studi memperkenalkan spiritual leadership dalam perspektif dinamakan Islamic Spiritual Leadership (ISL). ISL ini diharapkan bermanfaat meningkatkan kepuasan kerja, muaranya kinerja tenaga kependidikan.

Kata kunci: Spritual Leadership, motivasi, kepuasan, kinerja

UPAYA PENINGKATAN KINERJA KOPERASI PARIWISATA CATRA GEMILANG BOROBUDUR KABUPATEN MAGELANG

Suherman — 2024-12-23

Kinerja Koperasi Pariwisata Catra Gemilang Borobudur Kabupaten Magelang masih perlu ditingkatkan dengan tujuan membantu untuk memperbaiki dan mengembangkan ketrampilan manajerial yang telah dimiliki atau yang telah ada sebelumnya untuk mencapai hasil kerja koperasi menjadi jauh lebih baik. Tujuan penelitian ini adalah untuk mengetahui kinerja Koperasi Pariwisata Catra Gemilang Borobudur Kabupaten Magelang. Untuk merumuskan upaya meningkatkan kinerja Koperasi Pariwisata Catra Gemilang Borobudur Kabupaten Magelang. Penelitian ini menggunakan penelitian kualitatif dengan informan denangan metode wawancara dalam penelitian ini sejumlah 5 orang yang terdiri dari 1 orang pengawas koperasi, 1 orang ketua, 1 orang bendahara dan 2 orang anggota Koperasi Pariwisata Catra Gemilang Borobudur Kabupaten Magelang. Obyek penelitian adalah upaya peningkatan kinerja Koperasi Pariwisata Catra Gemilang Borobudur Kabupaten Magelang. Hasil dari penelitian ini yaitu koperasi dapat menambah karywan hingga Koperasi yang semula hanya beranggotakan 76 Fotografer ini bisa eksis dan berkembang, yang pada awalnya hanya memiliki 3 orang karyawan saat ini memiliki 90 orang karyawan dan 409 anggota dari berbagai aktivitas usaha.Upaya meningkatkan kinerja Koperasi Pariwisata Catra Gemilang Borobudur Kabupaten Magelang yaitu dengan cara Meningkatkan kualitas dan kemampuan sumber daya manusia koperasi yaitu pengurus, pengawas dan karyawan koperasi, terkait, Menempatkan personil sesuai dengan keahliannya, dan Meningkatkan peralatan atau sarana dan prasarana pendukung kegiatan pelayanan atau pengelolaan koperasi.