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All Journal Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA )
Pandu Deski Prasetyo
Universitas Mataram
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Klasifikasi Genre Musik Menggunakan Metode Mel-Frequency Cepstrum Coefficients dan K-Nearest Neighbors Classifier Pandu Deski Prasetyo; I Gede Pasek Suta Wijaya; Ario Yudo Husodo
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 1 No 2 (2019): September 2019
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v1i2.41

Abstract

In the world of music, music has several types of genre genres that can be grouped, there are music genre pop, rock, blues, slow, jazz, metal, dangdut and many more. And for each person must have a genre favorite that is different from one another, but to distinguish it does not need to play music files one by one especially if the number of music files is a lot. Therefore, computer software is needed to distinguish each of these genres in order to make it easier for users to distinguish and group the types of music according to their wishes automatically. By using the MFCC and KNN methods as a classification solution to classify several types of genre streams can be easily resolved. The results achieved from this study reached 52,4% with a K = 13 as the nearest neighboring point.
Co-Authors Ario Yudo Husodo I Gede Pasek Suta Wijaya