The development of RFID (Radio Frequency Identification) technology has led to innovations in access control systems, especially in educational institutions that require high levels of security. This research aims to design and implement an automated door access system using RFID integrated with the ESP32 microcontroller, enhanced by AES encryption and Internet of Things (IoT) features. The system is specifically developed to secure the Pustikom room at Nahdlatul Ulama University of West Sumatra, replacing conventional key systems with a more secure and efficient alternative. The methodology used is the ADDIE model, which consists of five stages: Analysis, Design, Development, Implementation, and Evaluation. The hardware includes an RC522 RFID module, solenoid door lock, flame detector, buzzer, and relay, while the software is built for Android-based control and real-time monitoring. AES encryption is applied to secure UID data from RFID cards, ensuring user privacy. AI capabilities are also explored to optimize access control through pattern recognition and anomaly detection. The results show that the system can effectively restrict access, automatically log entry data, and respond to emergency events such as fire detection. This solution significantly improves door access security while offering user-friendly interaction through a responsive interface
Adrian et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: