Analisis Prediksi Kelulusan Mahasiswa Menggunakan Decission Tree Berbasis Particle Swarm Optimization

Jurnal Sisfokom (Sistem Informasi dan Komputer)

View Publication Info
 
 
Field Value
 
Title Analisis Prediksi Kelulusan Mahasiswa Menggunakan Decission Tree Berbasis Particle Swarm Optimization
 
Creator Hendra, Hendra
Azis, Mochammad Abdul
Suhardjono, Suhardjono
 
Subject
Decision Tree; Student Graduation; Particle Swarm Optimization

 
Description Good accreditation results are the goal of the college. With good accreditation, prospective students can glance at and enter the tertiary institution. To achieve this, there are several aspects that affect good accreditation results, one of which is graduate students who play an important role in determining accreditation. Timely graduate students can benefit the college or a student. Graduates can be predicted before the final semester using a method one of which is the decision tree. Decision tree is a method that is simple and easy to understand by producing rules in the form of a decision tree, but using a decision tree model alone is not enough to produce optimal results. So we need a method for optimization that is particle swarm optimization with advantages can improve accuracy by eliminating unused features. From the results of research with primary data of 2000-2003 graduate students in Amik PPMI Tangerang explained that the particle swarm optimization method can increase accuracy by 87.56% and increase by 01.01% from the decision tree method with a value of 86.55%. From the particle swarm optimization method can also find out which unused attributes have no weight, so that way can improve accuracy. From the results of the increase, it can be used by the Amik University of Tangerang to prevent students from graduating on time.
 
Publisher ISB Atma Luhur
 
Contributor
 
Date 2020-03-29
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

 
Format application/pdf
 
Identifier http://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/756
10.32736/sisfokom.v9i1.756
 
Source Jurnal Sisfokom (Sistem Informasi dan Komputer); Vol 9, No 1 (2020): MARET; 102-107
2581-0588
2301-7988
 
Language eng
 
Relation http://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/756/614
 
Coverage


 
Rights Copyright (c) 2020 Jurnal Sisfokom (Sistem Informasi dan Komputer)
http://creativecommons.org/licenses/by/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library