DEVELOPMENT OF FINGERPRINT-BASED ATTENDANCE MANAGEMENT SYSTEM FOR SMART CLASS APPLICATIONS

Akwapoly Journal of Communication and Scientific Research (APJOCASR)

Authors

  • Anietie Etim Essien Akwa Ibom State University Mkpat Enin, Akwa Ibom State Author
  • Henry Johnson Enyenihi  Akwa Ibom State University Mkpat Enin, Akwa Ibom State Author
  • Imo E. Nkan Akwa Ibom State University Mkpat Enin, Akwa Ibom State Author

Keywords:

Fingerprint, Arduino UNO Board, OLED Display, Fingerprint Sensor, Smart Attendance Management System

Abstract

This paper describes the development of an innovative attendance management system called Fingerprint-Based Attendance Management (FPAM), which aims to simplify the attendance management process for educational institutions. The system utilizes cutting-edge fingerprint recognition technology, including a portable hardware device with a fingerprint reader, Arduino microcontroller, NodeMCU module, organic light-emitting diode (OLED) module, and keypad. It also consists of a web application and mobile app that provide easy access to attendance data captured by the device, making it convenient for both students and faculty members. The system's codes are written using the Arduino IDE and PHP, ensuring they are efficient and reliable. The system has been subjected to rigorous testing, and the results have been overwhelmingly positive. It has effectively managed attendance for different courses and student populations, making it an ideal solution for educational institutions looking to streamline their attendance management processes. The server is hosted on the "litehost" platform with a domain name of anietieattendancessystem.com.ng, ensuring the system is always accessible and reliable. Overall, the FPAM system is a valuable addition to the educational industry, providing a seamless and efficient attendance management solution.

Author Biographies

  • Anietie Etim Essien , Akwa Ibom State University Mkpat Enin, Akwa Ibom State

    Department of Electrical and Electronic Engineering

     

  • Henry Johnson Enyenihi , Akwa Ibom State University Mkpat Enin, Akwa Ibom State

    Department of Electrical and Electronic Engineering

     

  • Imo E. Nkan, Akwa Ibom State University Mkpat Enin, Akwa Ibom State

     Department of Electrical and Electronic Engineering

     

References

Adeniran, T. C. et.al (2019). Design and implementation of an automated attendance monitoring system for a Nigerian university using RFID. African J. Comput. ICT, 12(2), 72-89.

Akbar, M. et.al (2018, August). Face recognition and RFID verified attendance system. In 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) (pp. 168-172). IEEE.

Akhtar, S., Warburton, S., & Xu, W. (2017). The use of an online learning and teaching system for monitoring computer aided design student participation and predicting student success. International Journal of Technology and Design Education, 27(2), 251-270.

Akinola, O. A., Olopade, S. O., & Afolabi, A. S. (2021). Development of mobile and desktop applications for a fingerprint-based attendance management system. Indones. J. Electr. Eng. Comput. Sci, 24(1), 570-580.

Anjum, R., & Kamble, V. (2017). Student Tracking and Attendance Monitoring System Using RFID. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2(2).

Aravindhan, K.et.al (2021, March). Design of Attendance Monitoring System Using RFID. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 1628-1631). IEEE.

Ball, S. J., & Grimaldi, E. (2022). Neoliberal education and the neoliberal digital classroom. Learning, Media and Technology, 47(2), 288-302.

Bhatti, K., Mughal, L., Khuhawar, F., & Memon, S. (2018). Smart attendance management system using face recognition. EAI Endorsed Transactions on Creative Technologies, 5(17).

Bore, N.et.al (2017, November). Towards blockchain-enabled school information hub. In Proceedings of the Ninth International Conference on Information and Communication Technologies and Development (pp. 1-4).

Chandramohan, J. et.al(2017). Attendance monitoring system of students based on biometric and gps tracking

Chipchase, L. et.al (2017). Conceptualising and measuring student disengagement in higher education: A synthesis of the literature. International Journal of Higher Education, 6(2), 31-42.

Doggrell, S. A. (2020). No apparent association between lecture attendance or accessing lecture recordings and academic outcomes in a medical laboratory science course. BMC medical education, 20(1), 1-12.

Ehikhamenle, M., & Okeke, R. O. (2017). Design And Construction of an RFID Based E-Attendance Register. International Journal of Engineering Research and General Science, 5(1), 161-172.

Fatah, A. F. A., Mohamad, R., & Rahman, F. Y. A. (2021, April). Student attendance system using an android based mobile application. In 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) (pp. 224-227). IEEE.

Gomes, C., Chanchal, S., Desai, T., & Jadhav, D. (2020). Class attendance management system using facial recognition. In ITM Web of Conferences (Vol. 32, p. 02001). EDP Sciences.

Gunawan, H., & Kadir, E. A. (2017, September). Integration protocol student academic information to campus RFID gate pass system. In 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) (pp. 1-6). IEEE.

Islam, M. M., Hasan, M. K., Billah, M. M., & Uddin, M. M. (2017, December). Development of smartphone-based student attendance system. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 230-233). IEEE.

Koppikar, U. et.al (2019, July). IoT based smart attendance monitoring system using RFID. In 2019 1st International Conference on advances in information technology (ICAIT) (pp. 193-197). IEEE.

Kotevski, Z., et.al (2018). On the technologies and systems for student attendance tracking. International Journal for Information Technology and Computer Science, 10(10), 44-52.

Lin, Z. H., & Li, Y. Z. (2019, January). Design and implementation of classroom attendance system based on video face recognition. In 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) (pp. 385-388). IEEE.

Maramis, G. D., & Rompas, P. T. D. (2018, February). Radio frequency identification (RFID) based employee attendance management system. In IOP Conference Series: Materials Science and Engineering (Vol. 306, No. 1, p. 012045). IOP Publishing.

Mohandes, M. A. (2017). Class attendance management system using NFC mobile devices. Intelligent Automation & Soft Computing, 23(2), 251-259.

Ogata, H. et.al (2017). Learning analytics for e-book-based educational big data in higher education. In Smart sensors at the IoT frontier (pp. 327-350). Springer, Cham.

Okokpujie, K. et. al (2017, ). A face recognition attendance system with GSM notification. In 2017 IEEE 3rd international conference on electro-technology for national development (NIGERCON) (pp. 239-244). IEEE.

Pavithra, M. P., Sarika, A. S., & Rajendran, A. (2021). Attendance Management System Using RFID Technology (No. 6175). EasyChair.

Payne, L. (2019). Student engagement: Three models for its investigation. Journal of Further and Higher Education, 43(5), 641-657.

Pei, Z. et.al (2019). Face recognition via deep learning using data augmentation based on orthogonal experiments. Electronics, 8(10), 1088.

Pereira, H., Carreira, R., Pinto, P., & Lopes, S. I. (2020, June). Hacking the RFID-based Authentication System of a University Campus on a Budget. In 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-5). IEEE.

Qureshi, K. et.al (2021). Internet of Things for education: A smart and secure system for schools monitoring and alerting. Computers & Electrical Engineering, 93, 107275.

Rabu, S. N. A. (2019). The design and implementation of student attendance tracking system using QR code card. In The International Scientific Conference eLearning and Software for Education (Vol. 3, pp. 154-161). " Carol I" National Defence University.

.Rahmatulloh, A., Gunawan, R., & Darmawan, I. (2019, March). Web Services to Overcome Interope.rability in Fingerprint-based Attendance System. In 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018) (pp. 277-282). Atlantis Press.

Raj, J. T., & Sankar, J. (2017, December). IoT based smart school bus monitoring and notification system. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 89-92). IEEE.

Rjeib, H. et.al (2018). Attendance and information system using RFID and web-based application for academic sector. International Journal of Advanced Computer Science and Applications, 9(1).

Rjeib, H. et.al (2018). Attendance and information system using RFID and web-based application for academic sector. International Journal of Advanced Computer Science and Applications, 9(1).

Rusdi, J. et. al (2020,). Student attendance using face recognition technology. In 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) (pp. 1-4). IEEE.

Salim, O. et al. (2018, September). Class attendance management system using face recognition. In 2018 7th International conference on computer and communication engineering (ICCCE) (pp. 93-98). IEEE.

Shah, M., & Cheng, M. (2019). Exploring factors impacting student engagement in open access courses. Open Learning: The Journal of Open, Distance and e-Learning, 34(2), 187-202.

Singh, T. G. N. (2017). Automatic Gate Authentication System for RFID Tags and Thai ID Cards. Asian Institute of Technology, School of Engineering and Technology Thailand.

Sulistiyani, E., Ali, A. H. N., & Astuti, H. M. (2020). Change management strategies to implement a fingerprint based attendance system in information systems department using ADKAR model. Applied Technology and Computing Science Journal, 3(1), 22-29.

Surekha, B. et.al (2017). Attendance recording system using partial face recognition algorithm. In Intelligent techniques in signal processing for multimedia security (pp. 293-319). Springer, Cham.

Viegas, C.et.al (2018). Impact of a remote lab on teaching practices and student learning. Computers & Education, 126, 201-216.

Yadav, V., & Bhole, G. P. (2019, February). Cloud based smart attendance system for educational institutions. In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) (pp. 97-102). IEEE.

Zaman, H. el.al (2017, July). RFID based attendance system. In 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.

Zhao, M., Zhao, G., & Qu, M. (2022). College smart classroom attendance management system based on internet of things. Computational Intelligence and Neuroscience, 2022.

Downloads

Published

2024-09-12

Issue

Vol. 6 No. 2 (2023): Volume 6 Number 2

Section

Articles

License

Copyright (c) 2024 Akwapoly Journal of Communication & Scientific Research

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

DEVELOPMENT OF FINGERPRINT-BASED ATTENDANCE MANAGEMENT SYSTEM FOR SMART CLASS APPLICATIONS: Akwapoly Journal of Communication and Scientific Research (APJOCASR). (2024). Akwapoly Journal of Communication & Scientific Research, 6(2), 65-96. https://akwapolyjournal.org/index.php/apjocasr/article/view/27