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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Fadilla Sukma Alfiani
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Computer Science & IT

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Implementasi Metode Klasifikasi Multilabel untuk Kategorisasi Materi Pembelajaran Secara Otomatis Fadilla Sukma Alfiani; Umi Laili Yuhana
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1210

Abstract

Adaptive learning is learning that can adjust learning materials according to students' abilities. To facilitate the selection of appropriate learning materials, it is necessary to categorize learning materials first. Learning materials are widely available online and can be accessed easily via internet. Learning materials can be categorized into several topics and subtopics. This study aims to build a system that can retrieve learning materials from websites and categorize learning materials automatically based on topics and subtopics using multilabel classification. From the experiments that have been carried out, the implementation of multilabel classification has been successfully used to categorize learning materials automatically based on learning topics and subtopics.
Co-Authors Yuhana, Umi Laili