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All Journal Journal of Education and Instruction (JOEAI) Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Wardana, Shabrina Sukma
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Humanities Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Optimasi Sistem Rekomendasi Musik Berbasis Naïve Bayes: Studi Kasus pada Pengguna Musik di Spotify Lestari, Sri; Wardana, Shabrina Sukma
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1600

Abstract

This study aims to develop a music recommendation system based on the Naïve Bayes algorithm, using Spotify users in Indonesia as a case study. The dataset was obtained from a questionnaire involving 473 respondents, covering variables such as gender, age, and frequency of Spotify usage. Music genres were grouped into two categories: Majority Favorites (Pop, K-Pop, Jazz, R&B, Indie) and Minority Favorites (Hip Hop, Rock, Religious, Dangdut, EDM, Regional). The research process included data cleaning and transformation, splitting the dataset into 80% training and 20% testing, applying the Naïve Bayes algorithm, and evaluating the model using accuracy, precision, recall, and F1-score metrics. The experimental results showed that the model achieved an accuracy of 95.82%, with 100% precision for the Majority Favorites category and 85.51% for the Minority Favorites category, along with recall values of 94.44% and 100%, respectively. The average F1-score was in the “very good” category, indicating that the model can reliably predict music genre preferences. These findings suggest that the resulting recommendation system is suitable for implementation to help users discover music aligned with their demographic characteristics and listening behavior, while also contributing to the development of recommendation systems based on primary data.
Inovasi Pembelajaran Menggunakan Teknologi AI di SDN Jatirahayu 4 Raudhan, Muhammad Nurur; Arinal, Veri; Nugroho, Adityo Purwo; Wardana, Shabrina Sukma
JOEAI (Journal of Education and Instruction) Vol. 8 No. 3 (2025): JOEAI (Journal of Education and Instruction)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/joeai.v8i3.14525

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas penerapan teknologi Artificial Intelligence (AI) dalam proses pembelajaran di SDN Jatirahayu 4. Metode yang digunakan meliputi sosialisasi, pelatihan guru, serta penggunaan ChatGPT, Canva for Education, dan Kahoot dalam kegiatan belajar-mengajar. Data dikumpulkan melalui observasi, wawancara, dan kuesioner kepada guru dan siswa kelas 5. Hasil penelitian menunjukkan bahwa penggunaan AI mampu meningkatkan interaktivitas dan motivasi belajar siswa, meskipun masih ditemukan tantangan seperti keterbatasan infrastruktur teknologi dan pemahaman awal yang rendah tentang AI. Sosialisasi dan pelatihan yang intensif terbukti efektif meningkatkan literasi digital di lingkungan sekolah. Kata Kunci: Artificial Intelligence, Pembelajaran Berbasis AI, Keterlibatan Siswa, Efektivitas Pengajaran, Inovasi Pendidikan.
Co-Authors Arinal, Veri Nugroho, Adityo Purwo Raudhan, Muhammad Nurur