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All Journal JURIKOM (Jurnal Riset Komputer)
Muhammad Alfian Fathurrahman
Universitas Telkom, Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Penerapan Metode Collaborative Filtering Untuk Personalized Learning Content Pada Learning Management System (LMS) Muhammad Alfian Fathurrahman; Kusuma Ayu Laksitowening; Dawam Dwi Jatmiko Suwawi
JURIKOM (Jurnal Riset Komputer) Vol 9, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i2.3887

Abstract

The delivery of appropriate learning content can be one of the factors that can increase satisfaction, motivation, and interest of learners during learning sessions. But on the other hand, due to a large amount of learning content available on LMS (Learning Management System) and the difficulty of determining learning content that suits the needs and interests of each learner, it often causes some learning content to be overlooked by them. Therefore, this paper aims to design a personalized learning content system in LMS for learners. The main objective of this study is to provide learning content suggestions or recommendations for learners, based on the course module they previously accessed by applying Collaborative Filtering method. This method is used by utilizing dataset in the form of implicit feedback, obtained from the activities of learners when interacting with LMS. The UAT (User Acceptance Test) results show that the personalization system has been well received by as many as 82.67% of learners based on three aspects, those are interface, user, and system interaction aspects. Moreover, the MAE (Mean Absolute Error) calculation shows that this system has the best accuracy rate at a 10% sparsity level with the lowest average value of 0.4514.
Co-Authors Dawam Dwi Jatmiko Suwawi Laksitowening, Kusuma Ayu