ANALISA KINERJA ALGORITMA C4.5 DAN NAÏVE BAYES UNTUK MEMPREDIKSI PRESTASI SISWA

STUDI KASUS : SMK AL-IJTIHAD

  • Astrid Noviriandini Bina Sarana Informatika
  • Nurajijah Nurajijah STMIK Nusa Mandiri
Keywords: Data Mining, Student Prestation, c.45, Naive bayes

Abstract

This research was conducted to predict the result of a study of students in SMK Al-Ijtihad Tangerang. This research will inform students and teachers to follow ini anticipation of study in order to obtain maximum learning result. The methods used in solving this problem by the method of decision tree algorithm C4.5 and Naïve Bayes algorithm. The learning achievements can be measured from the value of report cards. After a comparison of both the algorithm, then the prediction result obtained by learning achievements. Naïve Bayes algorithm proved that value the accuracy 95,67% and value of the AUC 0,999 contains the Excellent Clasification, for algorithm C4.5 that value the accuracy 90,91% and values of AUC 0,639 including into Poor Clasification. Naïve Bayes algorithm is thus able to predict achievement students can study better.

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Published
2019-08-07
How to Cite
Noviriandini, A., & Nurajijah, N. (2019). ANALISA KINERJA ALGORITMA C4.5 DAN NAÏVE BAYES UNTUK MEMPREDIKSI PRESTASI SISWA. JITK (Jurnal Ilmu Pengetahuan Dan Teknologi Komputer), 5(1), 23-28. https://doi.org/10.33480/jitk.v5i1.607
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