A Multi-Modal IoT-Based Attendance System Using RFID and WhatsApp Notification for Smart Academic and Healthcare Environments

Yulia Darmi(1*), Arbi Satria Utama(2), Dedy Abdullah(3), Marhalim Marhalim(4), Robby Rizky(5), Danielli Araújo Lima(6)


(1) Department of Informatics, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Bengkulu, Indonesia
(2) Department of Informatics, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Bengkulu, Indonesia
(3) Department of Informatics, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Bengkulu, Indonesia
(4) Department of Informatics, Faculty of Engineering, Universitas Muhammadiyah Bengkulu, Bengkulu, Indonesia
(5) Department of Information System, Faculty of Technology and Informatics, Universitas Mathla’ul Anwar, Pandeglang, Banten, Indonesia
(6) Laboratory of Intelligent Computingand Robotics, Federal Institute of Triangulo Mineiro Campus Patrocínio, Brazil
(*) Corresponding Author

Abstract


The increasing demand for automation and accountability in academic and clinical institutions has highlighted the need for real-time, transparent attendance tracking systems. This paper presents the design and implementation of a smart attendance platform that leverages Internet of Things (IoT) technologies, combining RFID-based identification, ESP32 microcontroller processing, and real-time WhatsApp notification via the CallMeBot API. The system supports secure session control through a dedicated lecturer tag and delivers multi-modal feedback visual (LCD), auditory (DFPlayer), and mobile-based (WhatsApp) to enhance user interaction and operational transparency. The system was evaluated through a pilot deployment involving five students and one lecturer, with performance assessed in terms of functional reliability, response time, and message delivery success. Results demonstrated 98% WhatsApp message success rate, an average end-to-end latency of 7.4 seconds, and stable operation across repeated use. Comparative analysis with existing solutions revealed significant improvements in user feedback mechanisms and session control. In addition to academic applications, the system exhibits high potential for adaptation in healthcare contexts, such as staff shift monitoring, patient flow tracking, and regulatory compliance auditing. Its modular architecture and low-cost deployment model make it a scalable solution for institutions seeking digital transformation in attendance management. Future enhancements may include integration with mobile dashboards, anomaly detection through machine learning, and interoperability with Hospital Information Systems (HIS).

Keywords


RFID Attendance System; ESP32 Microcontroller; WhatsApp Notification; Health Informatics

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References


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DOI: https://doi.org/10.26714/jichi.v6i1.17283

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____________________________________________________________________________
Journal of Intelligent Computing and Health Informatics (JICHI)
 ISSN 2715-6923 (print) | 2721-9186 (online)
 Organized by
Department of Informatics
Faculty of Engineering
Universitas Muhammadiyah Semarang

W : https://jurnal.unimus.ac.id/index.php/ICHI
E : jichi.informatika@unimus.ac.id, ahmadilham@unimus.ac.id

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