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All Journal Jurnal Teknologi Informasi dan Pendidikan Jurnal Quancom: Jurnal Quantum Komputer
Sepsa Nur Rahman
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Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering

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PERANCANGAN SISTEM INFORMASI MEDIA BELAJAR PADA SISWA SEKOLAH DASAR BERBASIS RFID Sepsa Nur Rahman; Eva Rianti
Jurnal Teknologi Informasi dan Pendidikan Vol 10 No 2 (2017): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/tip.v10i2.28

Abstract

This study was conducted to make RFID applications as learning media information System in primary school students. This system is made by designing, making and implementing the components of the system which includes a microcontroller as process controllers, sound modules WTV as output which wil lgenerate. This system also uses RFID as input, where before the tool RFID function should be brought closer to the first RFID TAG and its output on the LCD. The results show a tool created to function properly and can be developed to a larger scale. Keywords : RFID, Sensors, Arduino, Sound Module ISD020
Implementasi Face Recognition dan Algoritma Otp Pada Akses Keamanan Monitoring Pembangkit Listrik Masril, Mardhiah; Yesha Aishya Aprila; Sepsa Nur Rahman; Firdaus
JURNAL QUANCOM: QUANTUM COMPUTER JURNAL Vol. 4 No. 1 (2026): Juni 2026
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/d13myx30

Abstract

The development of digital technology demands smarter and more integrated security systems, particularly for critical infrastructure such as power plants, which play a crucial role in national energy distribution. Power plant monitoring systems that still use conventional authentication methods like static passwords and RFID have weaknesses such as the risk of theft, forgery, and access misuse. Furthermore, the lack of integration with Internet of Things (IoT) systems means that the monitoring process is not fully real-time and potentially causes delays in detecting intrusions and security threats. This situation highlights the need for a layered security system capable of accurately and dynamically verifying user identity. This research aims to implement facial recognition technology and the Time-Based One-Time Password (TOTP) algorithm as a layered authentication system for IoT-based power plant monitoring. The system is designed to combine facial biometric verification with a time-based OTP code that can be generated independently of an internet connection. The integration of these two methods is expected to improve access security by minimizing the risk of identity spoofing, credential theft, and cyberattacks. The methods used include system design, hardware and software implementation, and performance testing of authentication and IoT integration. The expected outcome of this research is the creation of a more adaptive, reliable security system capable of recording access activity in real time. Therefore, the implementation of IoT-based facial recognition and TOTP can be an effective solution for enhancing protection for power plant monitoring systems, which are vital national assets.
Co-Authors Eva Rianti Firdaus Mardhiah Masril Yesha Aishya Aprila