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All Journal Bulletin of Information Technology (BIT)
Garda Zidane Dhamara
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Computer Science & IT

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Klasifikasi Genre Musik Menggunakan Machine Learning Garda Zidane Dhamara; Sucipto
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2021

Abstract

This study examines the implementation of music genre classification using Machine Learning to develop an accurate and efficient music recommendation application. The main problem addressed is the automatic identification of music genres to improve recommendation personalization. The method used involves applying Machine Learning algorithms to a music dataset. The objective of this research is to build a system capable of automatically classifying music genres and serving as a foundation for a smarter recommendation system. Preliminary results indicate that Machine Learning is effective in music grouping, which will contribute to increased recommendation accuracy. This research is expected to make a significant contribution to the development of intelligent music applications.
Co-Authors Aidina Ristyawan Danu Nur Alamsyah Erna Daniati Priyo Wildan Saputro Sucipto