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All Journal Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Kaputama (JIK) JIKA (Jurnal Informatika) JUKI : Jurnal Komputer dan Informatika Akrab Juara : Jurnal Ilmu-ilmu Sosial Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Teknik dan Science (JTS)
Astrid Noviriandini
Universitas Bina Sarana Informatika
Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Medicine & Pharmacology

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Journal : JITK (Jurnal Ilmu Pengetahuan dan Komputer)

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ANALISIS KINERJA ALGORITMA C4.5 DAN NAÏVE BAYES UNTUK MEMPREDIKSI PRESTASI SISWA SEKOLAH MENENGAH KEJURUAN Astrid Noviriandini; Nurajijah Nurajijah
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 5 No 1 (2019): JITK Issue August 2019
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1190.067 KB) | DOI: 10.33480/jitk.v5i1.607

Abstract

This research informs students and teachers to anticipate early in following the learning period in order to get maximum learning outcomes. The method used is C4.5 decision tree algorithm and Naïve Bayes algorithm. The purpose of this study was to compare and evaluate the decision tree model C4.5 as the selected algorithm and Naïve Bayes to find out algorithms that have higher accuracy in predicting student achievement. Learning achievement can be measured by the value of report cards. After comparison of the two algorithms, the results of the learning achievement prediction are obtained. The results showed that the Naïve Bayes algorithm had an accuracy value of 95.67% and the AUC value of 0.999 was included in Excellent Clasification, for the C4.5 algorithm the accuracy value was 90.91% and the AUC value of 0.639 was included in the state of Poor Clasification. Thus the Naïve Bayes algorithm can better predict student achievement.
Co-Authors Ahmad Nuryanto Aldhila Novianti Aliyah Kurniasih Aloysius Kurniawan Santoso Bagus Dwi Wicaksono Denny Bachtiar Diah Ayu Ambarsari Diah Ayu Ambarsari Diah Ayu Ambarsari Didy Eriawan Fahmi Aprian Hermanto Hermanto Kurniawati Kurniawati Luthfi Indriyani Maryanah Safitri Maryanah Safitri Muammar Khadapi Nurajijah Nurajijah Renita Windy Astuti Roni Andarsyah Sifa Fauziah Siti Lestari Yudhis tira Yudhistira Yudhistira