Authors:

I Putu Adi Yuda, I Gusti Ngurah Anom Cahyadi Putra, I Ketut Gede Suhartana, I Komang Ari Mogi, Made Agung Raharja, Luh Arida Ayu Rahning Putri

Abstract:

“Advances in information technology provide benefits for people’s lives today. Before the existence of information technology, people still use traditional communication media called kulkul. Kulkul is a communication tool that is used by hitting. Over time, people began to leave this culture because of the many other information systems used as communication media. However, nowadays people in their teens still do not know what the sound of the kulkul means. This is due to the absence of a kulkul voice recognition website. The method of data collection in this study was the observation method of a kulkul worker located in Denjalan Subvillage, Batubulan, Sukawati, Gianyar. To build a kulkul voice recognition system, the author uses a deep learning method. In this system there are 2 processes, namely training and classification. The training is used for the system to learn to recognize the sound of the kulkul and the classification to determine the category of the kulkul sound. Based on the classification carried out, the results obtained is testing accuracy 85%.”

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PDF:

https://jurnal.harianregional.com/jlk/full-89240

Published

2022-07-21

How To Cite

YUDA, I Putu Adi et al. PERANCANGAN SISTEM KEAMANAN LINGKUNGAN PENGENAL SUARA KULKUL DENGAN MENGGUNAKAN METODE DEEP LEARNING.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 11, n. 2, p. 429-438, july 2022. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/89240. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JLK.2022.v11.i02.p22.

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ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 11 No 2 (2022): JELIKU Volume 11 No 2, November 2022

Section

Articles

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