Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA )
Vol 1 No 2 (2019): September 2019

Klasifikasi Genre Musik Menggunakan Metode Mel-Frequency Cepstrum Coefficients dan K-Nearest Neighbors Classifier

Pandu Deski Prasetyo (Universitas Mataram)
I Gede Pasek Suta Wijaya (Universitas Mataram)
Ario Yudo Husodo (Universitas Mataram)

Article Info

Publish Date
30 Sep 2019

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.

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Journal Info
Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA )
Website

Abbrev

JTIKA

Publisher

Universitas Mataram

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering

Description

Jurnal Teknologi Informasi, Komputer dan Aplikasinya disingkat dengan JTIKA diterbitkan oleh Program Studi Teknik Informatika Fakultas Teknik Universitas Mataram sebagai wadah publikasi hasil penelitian original dalam di bidang teknologi informasi, ilmu komputer dan aplikasinya. JTIKA adalah open ...