Record Details

PENERAPAN ALGORITMA NAÏVE BAYES UNTUK PREDIKSI PENERIMAAN SISWA BARU DI SMK AL-AMIEN WONOREJO

Explore IT! : Jurnal Keilmuan dan Aplikasi Teknik Informatika

View Archive Info
 
 
Field Value
 
Title PENERAPAN ALGORITMA NAÏVE BAYES UNTUK PREDIKSI PENERIMAAN SISWA BARU DI SMK AL-AMIEN WONOREJO
 
Creator
Saful Rizal
Moch. Luthfi
 
Description One aspect of the first high school quality indicator is the level of acceptance of students in senior high schools or public vocational schools. Some junior high school students' data were analyzed to determine the level of acceptance of students in senior high schools or state vocational high schools. The process of analyzing student data using data mining techniques. The purpose of this research is to know the application of naïve bayes classification on the average value of report cards and the value of national examination on the acceptance level of students in high school or public vocational school using the result of classification model that formed.
In this study the data used is the new student data force 2016 Vocational High School AL-AMIEN Wonorejo. Data mining process is assisted by WEKA software using naïve bayes classification and 10-fold cross validation. Furthermore the naïve bayes classification model is used to process prediction data.
The results of the testing of the Naïve Bayes algorithm in predicting the acceptance of new students at the AL-AMIEN Wonorejo Vocational High School in 196 data of the students tested in this study, showed that the Naïve Bayes algorithm has an accuracy rate of 86.22%.
 
Publisher Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan
 
Date 2019-11-06
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://jurnal.yudharta.ac.id/v2/index.php/EXPLORE-IT/article/view/1671
10.35891/explorit.v10i1.1671
 
Source 2549-354X
2086-3489
10.35891/explorit.v10i1
 
Language eng
 
Relation https://jurnal.yudharta.ac.id/v2/index.php/EXPLORE-IT/article/view/1671/1328
 
Rights Copyright (c) 2018 Explore IT! : Jurnal Keilmuan dan Aplikasi Teknik Informatika
https://creativecommons.org/licenses/by/4.0