J-SAKTI (Jurnal Sains Komputer dan Informatika)
Vol 4, No 2 (2020): EDISI SEPTEMBER

Prediksi Mahasiswa Berpotensi Berhenti Kuliah Secara Sepihak Menggunakan Data Mining Algoritma C4.5

Sudarsono, Bernadus Gunawan (Unknown)
Bani, Alexius Ulan (Unknown)



Article Info

Publish Date
16 Sep 2020

Abstract

Students are a call to a student who has sat in college; there are many reasons why students decide to stop taking one-sidedly lectures which result in many losses that will be experienced by the campus, starting from reduced campus quantities and campus quality, adding to the accumulation of unclear student data and will cause and slow down the campus reporting performance. Hence, it is necessary to predict students who have the potential to stop studying unilaterally by looking at several criteria and digging up information on potential student data by applying data mining science and approaching one of the classification approach algorithms, namely the C4.5 algorithm; the results obtained from the study can see the predictive rule of students who have the potential to unilaterally quit college.

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Journal Info

Abbrev

jsakti

Publisher

Subject

Computer Science & IT

Description

JSAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa Pematangsiantar yang bertujuan untuk mewadahi penelitian di bidang Manajemen Informatika. JSAKTI (Jurnal Sains Komputer dan Informatika) adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan ...