IMPLEMENTASI DATA MINING DALAM MEMPREDIKSI PRESTASI SISWA DENGAN ALGORITMA C4.5

Alvianti Nurjana(1*), Agus Perdana Windarto(2), Hendry Qurniawan(3),

(1) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(2) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(3) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(*) Corresponding Author

Abstract


This study applies the data mining method with the C4.5 algorithm into an application that can be used to predict student achievement. This study aims to build a prediction system for outstanding students that can facilitate decision making. The data used in this study were taken from MTs. Al-Mukhlisin Dolok Kahean by conducting interviews and direct observation. The analysis was carried out by conducting training on data on grade 8 students for the 2021-2022 academic year, which totaled 75 students. There are 4 variables used, namely Discipline, Presence, Morals and Test Scores. The accuracy and performance obtained was 97.50%, namely there were 66 students who received the title of achievement and 9 students who were not classified as outstanding. So with this analysis it is hoped that it can help MTs schools. Al-Mukhlisin in knowing student achievement in teaching and learning process

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