Ashabul Kahfi Serious Game with Adaptive Recommendation System Based on Knowledge-Based Filtering and MULTIMOORA for Islamic Education

Authors

  • Yuniar Setyo Marandy UNIVERSITAS ISLAM NEGERI MAULANA MALIK IBRAHIM MALANG https://orcid.org/0009-0008-1389-3975
  • Fresy Nugroho UIN Maulana Malik Ibrahim Malang
  • Ririen Kusumawati UIN Maulana Malik Ibrahim Malang

DOI:

https://doi.org/10.26905/jtmi.v11i2.16082

Keywords:

Serious Game, Knowledge-Based Filtering, MULTIMOORA, Adaptive Learning

Abstract

This study aims to develop a serious game based on the story of Ashabul Kahfi using a difficulty level recommendation system based on Knowledge-Based Filtering (KBF) and the MULTIMOORA method. This game is designed for elementary school students in the context of Islamic religious education, instilling moral and spiritual values through the narrative of the story of Ashabul Kahfi. The difficulty level in the game is adjusted to the player's profile based on age, experience, and preferences obtained through a questionnaire. The MULTIMOORA method is applied to process questionnaire data and provide adaptive and personalized difficulty level recommendations. The results of the study show that the application of this recommendation system is able to increase student learning motivation and learning effectiveness by providing challenges that are appropriate to each player's abilities. Thus, this study contributes to the development of adaptive and effective game-based learning media, particularly in improving the understanding of religious values among students.

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Published

18-12-2025

Issue

Vol. 11 No. 2 (2025): Desember 2025

Section

Articles

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