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IMPLEMENTASI SISTEM KEAMANAN LOKER MENGGUNAKAN PENGENALAN SUARA MANUSIA MENGGUNAKAN METODE FUZZY LOGIC BERBASIS RASBERRY PI 3

Malluse, Arianto Bahar (2018) IMPLEMENTASI SISTEM KEAMANAN LOKER MENGGUNAKAN PENGENALAN SUARA MANUSIA MENGGUNAKAN METODE FUZZY LOGIC BERBASIS RASBERRY PI 3. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

In the process of biometric identification by using speech recognition as the input method is quite efficient. In addition to being easy to do, identification with voice recognition is unique to each individual, so it is safe and difficult to imitate, the user can get good security in protecting personal data from irresponsible parties . The Locker Security System in this study is a security system that is applied using voice recognition as a voice-based password. The process of identifying biometrics using sounds somebody is quite efficient because it can be done only with voice recognition as an input method. In this research, raspberry-based voice processing will be pi 3 as mini computer using fuzzy logic method as decision maker method. Input data used is frequency value (hertz) and power spectrum value (dBFs) of recorded sound and then the input data will be through the extraction process first so that the resulting output will be the value of hertz and decibel which later can be taken a decision using fuzzy logic method. This study aims to enable the voice of registered users in the database to be able to identify and create a sound-based password-based locker security tool .

Item Type: Thesis (Bachelors Degree (S1))
Additional Information: 201210130311147
Uncontrolled Keywords: Rasberry pi, Voice Recognition, Fuzzy Logic, Python
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: CKO Repository
Date Deposited: 29 Oct 2018 01:14
Last Modified: 29 Oct 2018 01:14
URI : http://eprints.umm.ac.id/id/eprint/38711

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