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All Journal Journal of Information Technology and Computer Engineering
Pangestu, Muftah Afrizal
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Advisor-Oriented Course Recommendation System Using Student Grades Pangestu, Muftah Afrizal; Karnalim, Oscar
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 2 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.2.63-72.2023

Abstract

In some universities, student advisors are often hired to enhance students’ retention rate. Having some students in mind, these advisors may find some difficulties in guiding the students in terms of selecting relevant courses. This paper proposes an advisor-oriented course recommendation system. Using this system, the advisors may suggest relevant courses to their students easier and more accurate. This system relies on student grades and comprehensive course data. Further, it utilises content-based and collaborative filtering for predicting relevant courses. According to our evaluation, the system is considerably effective; the accuracy of content-based filtering is about 66% while the accuracy of collaborative filtering is about 58%. Further, some parameters may be potential for enhancing accuracy while the others may be not.
Co-Authors Hendra Bunyamin Oscar Karnalim, Oscar