Analisis Penggunaan Metode MFCC Dalam Mendeteksi Emosi pada Musik Indonesia
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.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, the copyright of the article shall be assigned to JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) as the publisher of the journal. Copyright encompasses exclusive rights to reproduce and deliver the article in all forms and media, as well as translations. The reproduction of any part of this journal (printed or online) will be allowed only with written permission from JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya). The Editorial Board of JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) makes every effort to ensure that no wrong or misleading data, opinions, or statements be published in the journal.
This work is licensed under a Creative Commons Attribution 4.0 International License.
