Jurnal Nasional Teknologi Informasi dan Aplikasinya
Vol 2 No 2 (2024): JNATIA Vol. 2, No. 2, Februari 2024

Klasifikasi Musik Berdasarkan Genre Menggunakan Metode K-Nearest Neighbor

William Soeparman (Unknown)
I Ketut Gede Suhartana (Unknown)

Article Info

Publish Date
01 Feb 2024

Abstract

Currently the amount of music in digital form continues to increase rapidly. This causes manual genre labeling of music to be inefficient. Genre labeling can be done automatically using artificial intelligence algorithms. The artificial intelligence algorithm used is an algorithm that can classify music based on genre by using the features contained in the music. This study discusses the classification of music based on genre using the K-Nearest Neighbor method or algorithm and 6 musical features, namely beat, energy, danceability, loudness, liveness, and valence. The accuracy value in this study is 54.3%. Keywords: Music clasification, music genre, k-nearest neighbor

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Journal Info
Jurnal Nasional Teknologi Informasi dan Aplikasinya
Website

Abbrev

jnatia

Publisher

Universitas Udayana

Subject

Computer Science & IT

Description

JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) merupakan jurnal yang berfokus pada teori, praktik dan metodologi seluruh aspek teknologi di bidang ilmu dan teknik komputer serta ide-ide produktif dan inovatif terkait teknologi baru dan sistem informasi. Jurnal ini memuat makalah ...