Design of Automatic Attendance System Using RFID and ESP32 Based on Internet of Things (IoT)

Lutfi Afudn Febriana, Wahyu Sapto Aji

Abstract


The development of RFID technology in the field of education is quite interesting, including the implementation of an automated presence system that is integrated with the database that supports the processing of information about the presence of lectures. The app consists of several major components, such as an RFID Tag, an RFID Reader, and the ESP32 microcontroller. RFID Tags are used to read data and serve as student IDs. This tool system is integrated into the website according to the concept of the Internet of Things. This concept is the communication between the tool system and the website; data is automatically stored directly into the database that has been provided. The mode used by the presence system consists of two modes, namely list mode and presence mode. The functionality of the system hardware and software has been tested to ensure that the tools and components work properly and can function as required. The test results showed that the distance required to be able to read RFID Tags was 0 to 2.5 cm, the read time of an RFID Tag was an average of 2.39 seconds, and the update time of website data was 3.33 seconds. The performance of the system in testing failed to read an RFID Tag three times, with a success rate of 85.71%.

Keywords


Automatic Presence; RFID; ESP32 Microcontroller; Database; Internet of Things

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References


D. D. S. Fatimah, A. Sutedi, M. S. Hidayat, and L. Fitriani, “Design of employee presence system using Radio Frequency Identification technology,” In IOP Conference Series: Materials Science and Engineering, vol. 1098, no. 3, p. 032105, 2021.

K. Ishaq and S. Bibi, “IoT based smart attendance system using RFID: A systematic literature review,” arXiv preprint arXiv:2308.02591, 2023.

M. F. Wicaksono, “Design and Application of a Portable Fingerprint System for Student Attendance Web-Based and Telegram Using Raspberry Pi,” In IOP Conference Series: Materials Science and Engineering, vol. 879, no. 1, p. 012101, 2020.

J. B. Awotunde, S. N. Sur, M. T. Aderinto, and T. Gaber, “RFID-based student identification card attendance monitoring system,” In International conference on communication, devices and networking, pp. 31-41, 2022.

Y. Cao, “Design and Implementation of Student Intelligent Attendance System Based on Internet of Things Technology,’ In International Conference on Cognitive based Information Processing and Applications, pp. 331-340, 2023.

N. Thaleeparambil, A. Biju and B. Prathap, "Integrated Automated Attendance System with RFID, Wi-Fi, and Visual Recognition Technology for Enhanced Classroom Security and Precise Monitoring," 2024 IEEE International Conference on Contemporary Computing and Communications (InC4), pp. 1-6, 2024.

G. D. Maramis and P. T. D. Rompas, “Radio frequency identification (RFID) based employee attendance management system,” In IOP Conference Series: Materials Science and Engineering, vol. 306, no. 1, p. 012045, 2018.

R. A. Sowah, H. O. Agyemang, A. Degbang, E. Bosomafi, A. Acakpovi and G. Buah, "Design and Development of Shuttlefy: A Smart Shuttle System For University of Ghana Campus," 2021 IEEE 8th International Conference on Adaptive Science and Technology (ICAST), pp. 1-7, 2021.

L. Hakim, S. P. Kristanto, D. Yusuf and N. Z. Fanani, "Empowering Library Attendance System with IoT-Enabled Student ID Cards," 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA), pp. 673-678, 2023.

A. F. Abdul Fatah, R. Mohamad, F. Y. Abdul Rahman and N. I. Shuhaimi, "Student Attendance System Using An Android Based Mobile Application," 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), pp. 224-227, 2021.

B. Santoso and M. W. Sari, “Design of student attendance system using Internet of Things (IoT) technology,” In Journal of Physics: Conference Series, vol. 1254, no. 1, p. 012064, 2019.

J. P, A. M, F. S P, H. K H, A. V and S. H, "Attendswift Hub:- An Advanced Attendance Monitoring System for Classrooms," 2024 Second International Conference on Inventive Computing and Informatics (ICICI), pp. 365-370, 2024.

V. K. Shukla and N. Bhandari, "Conceptual Framework for Enhancing Payroll Management and Attendance Monitoring System through RFID and Biometric," 2019 Amity International Conference on Artificial Intelligence (AICAI), pp. 188-192, 2029.

M. Ula, A. Pratama, Y. Asbar, W. Fuadi, R. Fajri, and R. Hardi, “A new model of the student attendance monitoring system using rfid technology,” In Journal of Physics: Conference Series, vol. 1807, no. 1, p. 012026, 2021.

A. Ardebili, A. Latifian, C. F. Aziz, R. H. BinSaeed, S. M. Alizadeh, and E. V. Kostyrin, “A comprehensive and systematic literature review on the employee attendance management systems based on cloud computing,” Journal of Management & Organization, vol. 29, no. 4, pp. 679-696, 2023.

K. B. Yang, V. Echeverria, Z. Lu, H. Mao, K. Holstein, N. Rummel, and V. Aleven, “Pair-up: prototyping human-AI co-orchestration of dynamic transitions between individual and collaborative learning in the classroom,” In Proceedings of the 2023 CHI conference on human factors in computing systems, pp. 1-17, 2023.

B. C. Chu, D. Guarino, C. Mele, J. O’Connell, and P. Coto, “Developing an online early detection system for school attendance problems: results from a research-community partnership,” Cognitive and Behavioral Practice, vol. 26, no. 1, pp. 35-45, 2019.

Z. Gao et al., "A Student Attendance Management Method Based on Crowdsensing in Classroom Environment," in IEEE Access, vol. 9, pp. 31481-31492, 2021.

K. Alagasan, M. H. Alkawaz, A. Iqbal Hajamydeen and M. N. Mohammed, "A Review Paper on Advanced Attendance and Monitoring Systems," 2021 IEEE 12th Control and System Graduate Research Colloquium (ICSGRC), pp. 195-200, 2021.

A. Aribowo and A. S. Putra, “Lecturer and student attendance system with RFID,” In Journal of Physics: Conference Series, vol. 1858, no. 1, p. 012063, 2021.

M. Zhao, G. Zhao, and M. Qu, “College smart classroom attendance management system based on internet of things,” Computational Intelligence and Neuroscience, vol. 2022, no. 1, p. 4953721, 2022.

M. H. B. Badrul, S. S. Sarnin, M. N. M. Tan, A. Idris, N. F. Naim, and R. S. S. A. Kadir, “Smart Attendance System Using Face Recognition,” In Green Materials and Electronic Packaging Interconnect Technology Symposium, pp. 695-708, 2022.




DOI: https://doi.org/10.31763/simple.v6i2.113

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Signal and Image Processing Letters
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