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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Yuwono Fitri Widodo
Universitas Ahmad Dahlan, Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

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Identifikasi Suara Pada Sistem Presensi Karyawan Dengan Metode Ekstraksi MFCC Yuwono Fitri Widodo; Sunardi Sunardi; Adbul Fadlil
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 1 (2019): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v3i1.107

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.
Identifikasi Suara Pada Sistem Presensi Karyawan Dengan Metode Ekstraksi MFCC Yuwono Fitri Widodo; Sunardi Sunardi; Adbul Fadlil
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 1 (2019): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1021.071 KB) | DOI: 10.30645/j-sakti.v3i1.107

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.
Co-Authors Adbul Fadlil Luh Putu Ratna Sundari Sunardi, Sunardi