MOORA method approach for concentration course recommendation in e-learning system

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Nurliana Nasution, N. Nadrah, Mohamad Rizal Pautina, Evi Susilawati, Dikky Suryadi, Dedy Surya, Rina Astuti, Miftahus Surur, Ehsonov Jasurbek Rustamovich

2026 AIP Conference Proceedings Vol. 3337 Issue 1 Conference paper Cited by 0 SDG 4SDG 17 Quartile

Abstract

Students are required to make the right decision in choosing a concentration course when filling out a study plan in the e-learning system. This is because students' mistakes in choosing concentration courses on the e-learning system can have a negative impact on their level of achievement and success in achieving graduation on time. Therefore, this research offers the MOORA Method approach to the concentration course recommendation system on the E-Learning System. The recommendation system that the author offers in this research provides recommendations for concentration courses based on the criteria of cumulative grade point average, interest in thesis topics to be completed, career prospects to be achieved, and basic knowledge of students who will select concentration courses. The data collection technique used in this research is literature study. The results of this study indicate that the MOORA method recommends Data Mining (39.95412) as the most suitable concentration course for students to choose. © 2026 Author(s).

Affiliations

Universitas Lancang Kuning, Pekanbaru, Indonesia; Universitas Muhammadiyah Makassar, Makassar, Indonesia; Universitas Negeri Gorontalo, Gorontalo, Indonesia; Universitas Islam Sumatera Utara, Medan, Indonesia; STMIK Al Muslim Bekasi, Bekasi, Indonesia; Department of Islamic Psychology, Institut Agama Islam Negeri Langsa, Aceh, Indonesia; Universitas Muhammadiyah Surakarta, Surakarta, Indonesia; Sekolah Tinggi Keguruan dan Ilmu Pendidikan PGRI Situbondo, Situbundo, Indonesia; Kokand branch of Tashkent State Technical University, Tashkent, Uzbekistan

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