Implementasi Sistem Keamanan Brankas Menggunakan Teknologi Pengenalan Suara Berdasarkan Pengolahan Sinyal Dengan Metode Template Matching Berbasis Raspberry Pi

Asysyauqi, Haris (2024) Implementasi Sistem Keamanan Brankas Menggunakan Teknologi Pengenalan Suara Berdasarkan Pengolahan Sinyal Dengan Metode Template Matching Berbasis Raspberry Pi. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

Conventional security systems in safes still have weaknesses that can be utilized by unauthorized parties. This research develops a safe security system using Raspberry Pi-based voice recognition with template matching method. The system is designed to respond to three voice commands: "open door", "open safe", and "close safe", and only accepts voice from authorized users. Voice processing is performed by feature extraction using Mel Frequency Cepstral Coefficients (MFCC), while voice matching utilizes template matching methods to measure signal similarity. The test results show that the accuracy of voice recognition of authorized users reaches 80-85%, while the rejection of unauthorized votes reaches 80%. The use of MFCC and voice clarity evaluation with Clarity50 proved to help improve system performance. The system offers a more modern, personalized, safe security alternative that is more resistant to fake voice abuse.

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