Indonesian Journal of Artificial Intelligence and Data Mining
Vol 2, No 1 (2019): March 2019

Prediction of Student Graduation Time Using the Best Algorithm

Verry Riyanto (Departement of Informatic Technology, STMIK Nusa Mandiri Jakarta)
Abdul Hamid (Departement of Management Informatics, AMIK BSI Bogor)
Ridwansyah Ridwansyah (STMIK Nusa Mandiri)

Article Info

Publish Date
31 Mar 2019

Abstract

Data mining has a very important role in the world of education can help education institutions in predicting and making decisions related to student academic status. We use the NN, SVM and DT algorithms to predict the graduation time of academic students at one of the private universities in Indonesia. The results of this study indicate that the three models produce the accuracy of more than 80%, and the SVM model has an accuracy of 85.18% higher than the other two models. The results arising from this study provide important reference material for planning the future success of students and faculty in early warning to students in the future.

Copyrights © 2019




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Journal Info
Indonesian Journal of Artificial Intelligence and Data Mining
Website

Abbrev

IJAIDM

Publisher

Universitas Islam Negeri Sultan Syarif Kasim Riau

Subject

Computer Science & IT

Description

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech) Faculty of Science and Technology UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides online media to publish scientific ...