Authors:

Hairul Lana, Ngurah Agus Sanjaya, I Dewa Made Bayu Atmaja, Anak Agung Istri Ngurah Eka Karyawati, I Made Widiartha, I Gusti Agung Gede Arya Kadyanan

Abstract:

“Darbuka is one of the hadrah musical instruments that acts as a marker when the vocals raise or lower the rhythm of the sound. In learning the Darbuka, the trainer needs to check whether the sound produced is correct or not. With the Darbuka tone recognition system, it will be easier for someone to learn hadrah without a coach. The system developed in this study uses onset detection to break the tone pattern. Then each note goes through a feature extraction process using MFCC with parameters of frame length, overlap length, and the number of coefficients. Then the results of feature extraction through a classification process using KNN. Thexresultsxof the system test showxthat the best combination of parameters in the identification of Darbuka tones with a frame length of 20 ms, overlap length of 40%, the number of MFCC coefficients as much as 13 and a value of K = 1 produces a basic tone identification accuracy of 100%, a tone pattern identification accuracy of 30%, and the accuracy of basic tone identification in the tone pattern is 72.67%.”

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PDF:

https://jurnal.harianregional.com/jlk/full-88991

Published

2022-07-14

How To Cite

LANA, Hairul et al. Aplikasi Identifikasi Nada Darbuka Dengan Onset Detection, MFCC, Dan KNN.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 11, n. 1, p. 137-146, july 2022. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/88991. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JLK.2022.v11.i01.p15.

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Issue

Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022

Section

Articles

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