ANALISIS DAN PENERAPAN ALGORITMA C4.5 DALAM DATA MINING UNTUK MEMPREDIKSI MASA STUDI MAHASISWA BERDASARKAN DATA NILAI AKADEMIK

Abstract

Institutional of higher education certainly experience the data accumulation, this occurs because the number of students increases every year. Students data that has accumulated can be utilized to extract a potential knowledge from data to support a decision. Analysis by simple statistical methods is difficult to applied therefore it is need a classification method of data mining techniques. Data mining is the mining or the discovery of new information by looking for certain patterns of a number of large amounts of data are expected to treat the condition. The data mining techniques can be used to the colleges data in order to process and distribute information to support daily operations as well as supporting the activites of establish a strategic decision. Source of data obtained form data academic of Department of Computer Engineering UNIKOM. Based on data graduation of Undergraduate Program Class of 2007 of Department of Computer Engineering, only one student who graduated at eighth semester. It has provided that there are many students who took the course duration more than 8 semesters. If the study period can be predictable, it can perform the necessary actions of the department, however the students can graduate on time. Training data and testing data taken from the student final report who have graduated and then result of the analysis which has processed by system will be used to predict the study period of the students who are still studying. The application is implemented the C4.5 Algorithm to produce a decicion tree.