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All Journal Jurnal Ilmiah Sinus Jurnal Teknologi Informasi dan Komunikasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) sudo Jurnal Teknik Informatika Jurnal Pengabdian Masyarakat Journal of Universal Community Empowerment Provision JGK (Jurnal Guru Kita)
Apriliyanto, Erwin
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Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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PROTOTIPE SISTEM KEAMANAN BRANKAS BERBASIS ESP32 CAM DENGAN OTENTIKASI PIN DAN DETEKSI GERAKAN Ardiansyah, Iqbal; Moh Rumuntoha, Amirullah; Raka Sakti, Abdillah; Apriliyanto, Erwin
Jurnal Teknologi Informasi dan Komunikasi Vol 19 No 1 (2026): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v19i1.363

Abstract

The high risk of theft of valuable assets requires a more reliable storage system, given that conventional safes with physical keys or combinations still have security gaps that are vulnerable to manipulation. This study aims to design and implement a prototype of an Internet of Things (IoT)-based safe security system using ESP32-CAM equipped with PIN authentication and motion detection features. The research method applied is prototyping with an experimental approach that includes system architecture design, hardware implementation, and functionality testing. This system integrates a keypad for PIN verification, a PIR sensor to detect motion threats, and an ESP32-CAM camera for visual evidence capture. Security is enhanced through a real-time notification mechanism to Telegram and recording of activity history in the Firebase database. Test results show that the system has a PIN authentication accuracy rate of 100% for 4-8 digit variations. The motion detection feature is able to work optimally up to a distance of 150 cm with 100% success. Additionally, the system successfully sends warning notifications along with photo evidence to Telegram with an average response time under 5 seconds. This research contributes to minimizing the risk of safe break-ins through the integration of automated visual monitoring and a remote early warning system.
Co-Authors Arif Setia Sandi A. Dedi Irawan Dimas Fajar Nugroho Gymnasdiar, Abdullah Nur Afghani Hani, Oktania Putri Hasanah, Niswayanti Herlina, Besse Iqbal Ardiansyah Jumrah Jumrah Jungso, Amir Kadri, Laelatul Kurnia, Adi Kurniawan, Wakhid Lasmi, Hardiyanti Moh Rumuntoha, Amirullah Muhammad Yusuf Ariyadi Nurhalisah, Siti Nursanti Nursanti Putra, Romi Iriandi Raka Sakti, Abdillah Romi Iriandi Putra Sulfiani, Besse Sulistiyo, Aria Rohmat Wakhid Kurniawan Wiwit Supriyanti Yayu Sri Rahayu Yayu Sri Rahayu, Yayu Sri