Authors:

I Gusti Made Meri Utama Yasa, Linawati Linawati, N Paramaita

Abstract:

“Abstract—This paper present about recognition of gamelan rindik pattern using wavelet transform. Wavelet transform is used to find the special characteristic of gamelan rindik, which had previously been recorded and stored in computer with format *.wav. The data was subsequently used as training and tested data, Probabilistic Neural Network (PNN) was used to recognize gamelan rindik pattern using. The training and tasted data process used four different rindics, consisting 0f 240 gamelan rindik data. Discrete Wavelet Transform (DWT) was used as the method of feature extraction, with Symlet, Haar, and Daubechies Wavelet function. Those three functions of the wavelet shows the average accuracy level for Symlet 94.58%, Haar 93.33%, and wavelet Daubechies 94.58%.”

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References

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PDF:

https://jurnal.harianregional.com/jte/full-40101

Published

2018-12-05

How To Cite

UTAMA YASA, I Gusti Made Meri; LINAWATI, Linawati; PARAMAITA, N. Penentuan Notasi Gamelan Rindik Menggunakan Metode Transformasi Wavelet.Majalah Ilmiah Teknologi Elektro, [S.l.], v. 17, n. 3, p. 319-324, dec. 2018. ISSN 2503-2372. Available at: https://jurnal.harianregional.com/jte/id-40101. Date accessed: 08 Jul. 2024. doi:https://doi.org/10.24843/MITE.2018.v17i03.P03.

Citation Format

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 17 No 3 (2018): (September - Desember) Majalah Ilmiah Teknologi Elektro

Section

Articles

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