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All Journal Jurnal Nasional Teknologi Informasi dan Aplikasinya
Pratama, Berlin
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Computer Science & IT

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Efektifitas Algoritma K-NN dan Random Forest Dalam Mengenali Gender Berdasarkan Suara Pratama, Berlin; Suhartana, I Ketut Gede
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Human beings have the ability to recognize one's gender through hearing and vision. In computer science this is called sound analysis, but often human sounds differ from the original after processing by computer. In this case, we try to differentiate human voices by gender using the K-Nearest Neighbor and Random Forest algorithms. The K-Nearest Neighbor algorithm has an accuracy of 76%, while Random Forest has an accuracy of 97%.
Co-Authors I Ketut Gede Suhartana