J-SAKTI (Jurnal Sains Komputer dan Informatika)
Vol 3, No 1 (2019): EDISI MARET

Identifikasi Suara Pada Sistem Presensi Karyawan Dengan Metode Ekstraksi MFCC

Yuwono Fitri Widodo (Universitas Ahmad Dahlan, Yogyakarta)
Sunardi Sunardi (Universitas Ahmad Dahlan, Yogyakarta)
Adbul Fadlil (Universitas Ahmad Dahlan, Yogyakarta)

Article Info

Publish Date
04 Mar 2019

Abstract

Biometrics is the study of patterns of characteristics to recognize or identify humans based on one or more parts of the human body, both chemical, physical, and behavioral characteristics, such as faces, fingerprints, sounds, hand geometry, or iris. Nowadays technology has developed using sound to be used as an application that facilitates humans. Voice identification process is very necessary to know the accuracy of the sound based on the characteristics possessed, because some humans have similarities in saying. In this study aims to determine the sound pattern based on speech. The method used for voice identification using the Mel-Frequency Cepstral Coefficients (MFCC) feature extraction method, is a feature extraction method that approaches the human hearing system and is able to recognize speech patterns.

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Journal Info
J-SAKTI (Jurnal Sains Komputer dan Informatika)
Website

Abbrev

jsakti

Publisher

Sekolah Tinggi Ilmu Komputer Tunas Bangsa

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

Description

J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun ...