Pembangunan Sistem AI Berdasarkan Analisis Aktivitas Digital Untuk Mengidentifikasi Gaya Belajar Siswa

Suherwin Suherwin; Rachmat Rachmat; Irfan Said; Siti Nur Asia

doi:10.31004/riggs.v4i2.991

Authors

Suherwin Suherwin Universitas Pejuang Republik Indonesia
Rachmat Rachmat Universitas Pejuang Republik Indonesia
Irfan Said Badan Riset dan Inovasi Daerah (BRIDA), Sulawesi Tenggara, Indonesia
Siti Nur Asia Universitas Pejuang Republik Indonesia

DOI:

https://doi.org/10.31004/riggs.v4i2.991

Keywords:

Gaya Belajar, Kecerdasan Buatan, Analisis Aktivitas Digital, Sistem Manajemen Pembelajaran (LMS)

Abstract

Studi ini menyarankan untuk membangun sistem berbasis AI untuk mengidentifikasi gaya belajar siswa dengan menganalisis aktivitas digital mereka dalam sistem manajemen pembelajaran (LMS) atau platform pendidikan online lainnya. Sistem ini menggunakan algoritma pembelajaran mesin untuk memproses data seperti frekuensi login, pola interaksi konten, waktu yang dihabiskan untuk aktivitas, dan perilaku navigasi. Dengan memetakan perilaku ini ke dalam kerangka gaya belajar yang telah ditetapkan (misalnya, visual, auditori, kinestetik), sistem AI memberikan wawasan waktu nyata tentang preferensi masing-masing siswa. Efektivitas hasil pendidikan sangat dipengaruhi oleh keberagaman gaya belajar siswa, dan metode tradisional untuk mengidentifikasi gaya belajar sering kali bergantung pada kuesioner atau observasi manual, keduanya memakan waktu dan dapat dipengaruhi oleh bias.

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