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OPTIMASI METODE C4.5 MENGGUNAKAN ALGORITMA GENETIKA UNTUK KLASIFIKASI STUDI LANJUT SISWA MADRASAH

Explore IT! : Jurnal Keilmuan dan Aplikasi Teknik Informatika

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Title OPTIMASI METODE C4.5 MENGGUNAKAN ALGORITMA GENETIKA UNTUK KLASIFIKASI STUDI LANJUT SISWA MADRASAH
 
Creator —
A. Zulham F.H
 
Description Students (learners) are children or adolescents who get science education, guidance, and direction so as to get changes, developments in shaping a personality, as well as a structural education in the teaching process. In Permendikbud No. 5 of 2015 article 4 also explained the value of report cards must be 50% to 70% and the value of UN weighted between 30%. So in this research will do classification of advanced study of madrasah students by using algorithm C4.5 which has the highest level of accuracy, but in this research will be conducted optimization of assessment using genetic algorithm to mendaptkan better result. The process within the genetic algorithm is used to obtain an optimal solution of rapid value for complex problems in determining the value of subjects for five semesters. In experiments on the Decision Tree (C4.5) and Decision Tree algorithms coupled with optimizations using Genetic Algorithm (GA). From both tests it can be seen that Decision Tree (C4.5) research resulted Accuracy 79,43%, while Decision Tree (C4.5) with Genetic Algorithm (GA) as feature selection resulted Accuracy 81,43%.
 
Publisher Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan
 
Date 2019-11-22
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Identifier https://jurnal.yudharta.ac.id/v2/index.php/EXPLORE-IT/article/view/1715
10.35891/explorit.v10i1.1715
 
Source 2549-354X
2086-3489
10.35891/explorit.v10i1
 
Language eng
 
Relation https://jurnal.yudharta.ac.id/v2/index.php/EXPLORE-IT/article/view/1715/1336
 
Rights Copyright (c) 2018 Explore IT! : Jurnal Keilmuan dan Aplikasi Teknik Informatika
https://creativecommons.org/licenses/by/4.0