DOI : https://doi.org/10.18517/ijaseit.15.3.20294

Real-Time Attendance and Security Monitoring System Using IoT-RFID-Webserver-Android: A Low-Cost Solution

Sumarsono (1), Andhika Mayasari (2)
(1) Department of Industrial Engineering, University of Hasyim Asy’ari Tebuireng Jombang, Jombang, East Java, Indonesia
(2) Department of Industrial Engineering, University of Hasyim Asy’ari Tebuireng Jombang, Jombang, East Java, Indonesia
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Sumarsono and A. Mayasari, “Real-Time Attendance and Security Monitoring System Using IoT-RFID-Webserver-Android: A Low-Cost Solution”, Int. J. Adv. Sci. Eng. Inf. Technol., vol. 15, no. 3, pp. 764–779, Jun. 2025.
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The integration of the Internet of Things (IoT) and information technology (IT) fosters intelligent operations within small and medium enterprises (SMEs). This article aims to develop a real-time attendance and security monitoring system utilizing IoT, RFID, webserver, and Android technology with open-source components. Open-source technology is more operationally cost-effective. The monitoring system is designed with four kinds of functions and one analytical framework. (1) The attendance and security device function. (2) The monitoring function oversees attendance and body temperature using a web server and Android notifications. (3) The message notification function detects human motion, and the fire uses the Telegram platform. (4) The remote control function for electric sockets uses the Blynk platform. (5) The analysis of attendance performance uses a Fuzzy Logic method. The results indicate that the functions in parts 1 through 4 are functioning correctly. It has an impact on effective, efficient, and responsive operations. Because the attendance and security monitoring activities operate in real-time, autonomously, and remotely within SMEs. Then, the Fuzzy-Logic analysis provides a clearer and quantifiable measure of employee attendance. This system design leverages open-source technology for low-cost operations among SMEs. If SMEs need future enhancements for scalability, consider the cost implications of enhancing the system. Consider improving the system's scalability by utilizing paid services. Speed up the employee attendance analysis time using a Fuzzy-Logic, Machine Learning embedding system into the microcontroller. Then, optimize the processing workflow of the system networks by incorporating edge computing technology for enhanced big data storage and extended operating times.

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