MATHunesa: Jurnal Ilmiah Matematika
Vol 8 No 1 (2020)

KLASIFIKASI JENIS BURUNG BERDASARKAN SUARA MENGGUNAKAN ALGORITME SUPPORT VECTOR MACHINE

Annisa Miftahul Afida (Program Studi Matematika, FMIPA, Universitas Negeri Surabaya)



Article Info

Publish Date
17 Jan 2020

Abstract

Birds are one of the animals that need to be protected because of some extinct species. To solve this problem, conservation are needed because not all bird habitats can be reached by humans. Bird sound was one of the unique markers to indicate the existence of bird life. With technology, information, and communication, human could identify bird species by its sound. The classification process based sound is one of the problems that can be solved by Machine Learning. The noise reduction process is needed to remove noise that is not needed like wind and rain. Noise Reduction using Wavelet Transform result is sound signal more cleaner with PSNR value 4,2890. The classification of bird species is based on sound using one of the machine learning algorithms, Support Vector Machine (SVM) with Heavy Tailed RBF kernel with ratio 7:3. The accuracy produced from this study was 77,00% obtained from the use of parameters namely c = 10.000 and epsilon = 1.00E-09.

Copyrights © 2020






Journal Info

Abbrev

mathunesa

Publisher

Subject

Mathematics

Description

MATHunesa is a mathematical scientific journal published by the Department of Mathematics, Faculty of Mathematics and Natural Sciences, The State University of Surabaya with e-ISSN 2716-506X and p-ISSN 2301-9115. This journal is published every four months in April, August, and December. One volume ...