Matching User in Online Learning using Artificial Intelligence for Recommendation of Competition

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Irawan Dwi Wahyono, Khoirudin Asfani, Mohd Murtadha Mohamad, Djoko Saryono, Hari Putranto, Mohd Nihra Haruzuan

2021 Proceedings - 4th International Conference on Vocational Education and Electrical Engineering: Strengthening Engagement with Communities through Artificial Intelligence Application in Education, Electrical Engineering and Information Technology, ICVEE 2021 Conference paper Cited by 1 Quartile

Abstract

Now, there is much competition for students but sometimes students fail and do not have confidence because students don't have a guide or recommendation to join the competition. The problem is that sometimes students were wrong to choose a competition because they don't have the ability in this or just join the competition not to win the competition. The purpose of research solves the problem that the researchers built a system to recommend for a student to choose a competition based on their activity in online learning in school or university as profile matching in online learning. The system made recommendations based a database online learning that database is processed by artificial intelligence. The system gives a recommendation based on profile matching students in online learning. In this research, after the system gives a recommendation, 10 students enrolled the online learning given feedback about the accuracy of the recommendation. The result of testing in the system has an average of accuracy that is 70%. © 2021 IEEE.

Affiliations

Universitas Negeri Malang, Faculty of Engineering, Malang, Indonesia; Universiti Teknologi Malaysia, Faculty of Engineering, Johor, Malaysia; Universitas Negeri Malang, Faculty of Letter, Malang, Indonesia