Analisis Penggunaan Metode MFCC Dalam Mendeteksi Emosi pada Musik Indonesia

  • I Komang Sutrisna Eka Wijaya Universitas Udayana
  • Luh Arida Ayu Rahning Putri Universitas Udayana

Abstract

This research aims to develop a method for detecting emotions in Indonesian music using the MFCC method. The MFCC method is used to identify emotions in music by measuring acoustic features of music, such as tempo, pitch, and intensity. The study uses a dataset of 40 Indonesian music samples from various regions, which are analyzed to detect emotions. The confusion matrix is used to calculate the precision of emotion prediction. The results show that the MFCC method is effective in detecting emotions in Indonesian music. The research also highlights the importance of using a representative dataset to improve the accuracy of emotion identification in music. This study provides insights into the challenges and opportunities of using the MFCC method for emotion detection in Indonesian music..


Keywords: MFCC, emotion detection, Indonesian music, dataset, confusion matrix.

Published
2023-07-29
How to Cite
EKA WIJAYA, I Komang Sutrisna; PUTRI, Luh Arida Ayu Rahning. Analisis Penggunaan Metode MFCC Dalam Mendeteksi Emosi pada Musik Indonesia. Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 4, p. 1179-1186, july 2023. ISSN 3032-1948. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/103575>. Date accessed: 20 apr. 2024.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.