International Journal of Research in Counseling and Education
Vol 5, No 1 (2021): International Journal of Research in Counseling and Education

Prediction of the graduation rate of engineering education students using Artificial Neural Network Algorithms

Anwar, Muhammad (Unknown)



Article Info

Publish Date
10 Jun 2021

Abstract

The graduation rate of engineering education students on time dramatically affects the quality of learning. The purpose of this study is to predict the graduation rate of engineering education students. The method uses an artificial neural network algorithm combined with particle swarm optimization and forward selection, with 234 samples. The test results with Artificial Neural Network obtained 82.61% accuracy with predictions on time 149 and not on time 62. Artificial Neural Network with Particle Swarm Optimization obtained 91.30% accuracy with predictions on time 165, not on time 69. Furthermore, Artificial Neural Network with Particle Swarm Optimization and reduced by forwarding selection obtained 95.65% accuracy with predictions of the number of graduations on time 165 and not on time 69. Thus, the combination of the three algorithms can predict the graduation rate of engineering education students with high accuracy.

Copyrights © 2021






Journal Info

Abbrev

ijrice

Publisher

Subject

Arts Humanities Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Social Sciences

Description

International Journal of Research in Counseling and Education (IJRiCE) ISSN: 2620-5769 (Electronic), ISSN: 2620-5750 (Print), is a peer-reviewed, counseling and education journal published by Universitas Negeri Padang (UNP) in collaboration with Indonesian Counselor Association (IKI). The aim of ...