Penerapan Algoritma C4.5 Untuk Klasifikasi Predikat Keberhasilan Mahasiswa Di Amik Tunas Bangsa
Yuni Sara Luvia, Agus Perdana Windarto, Dedy Hartama, Solikhun · Zenodo (CERN European Organization for Nuclear Research) · 2016
Predicate Student success in college is the main thing a reference to a student during their study. Data student continued to increase from year to year is a testament to develop Data Mining. A large number of students will be processed to determine based on criteria Students deserve any title success with several attributes such as, gender, presence, lecture sessions, the average NEM and Origin school. In this case, the researchers conducted an analysis in Amik Tunas Bangsa Jl. Sudirman no. 1,2,3 Pematangsiantar. The analysis is using Data Mining with C4.5 methods and processed using software RapidMiner to make decision tree. This method is expected to facilitate the agency classifying and predicting student success predicates so that data that accumulate can be useful for data mining purposes in taking a good decision. This analysis is expected as one of the motivations to students to improve their GPA.