Klasifikasi Metode Data Mining untuk Prediksi Kelulusan Tepat Waktu Mahasiswa dengan Algoritma Naïve Bayes, Random Forest, Support Vector Machine (SVM) dan Artificial Neural Nerwork (ANN)

Klasifikasi Metode Data Mining untuk Prediksi Kelulusan Tepat Waktu Mahasiswa dengan Algoritma Naïve Bayes, Random Forest, Support Vector Machine (SVM) dan Artificial Neural Nerwork (ANN)

Timely graduation of students is essential for determining the quality of college. Universities must know the percentage of students' ability to complete their studies on time. So, to deal with this problem, data mining classification is carried out to predict student graduation on time to fin...

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Bibliographic Details
Main Authors: Satrio Junaidi, Rani Valicia Anggela, Delsi Kariman
Format: Article
Language:Indonesian
Published: Indonesian Society of Applied Science (ISAS) 2024-06-01
Series:Journal of Applied Computer Science and Technology
Subjects:
: data mining, naïve bayes, python 3, tepat waktu
Online Access:https://journal.isas.or.id/index.php/JACOST/article/view/489
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