Development of Attendance Monitoring System with Artificial Intelligence Optimization in Cloud

  • Mohamad Fakir Naen
  • Muhamad Hariz Muhamad Adnan
  • Nurul Adilah Yazi
  • Chee Ken Nee
DOI: https://doi.org/10.36079/lamintang.ijai-0802.315
Keywords: Artificial Intelligence, Attendance Monitoring System, Biometric, Cloud

Abstract

The creation of an attendance management system based on biometrics is proposed in this research. Keeping track of student attendance during lecture periods has proven to be a difficult task. Because human calculating creates errors and wastes a lot of time, the capacity to compute the attendance percentage becomes a key challenge. For this reason, a biometric-based attendance management system is being developed. This system uses a fingerprint device to take attendance electronically, and the attendance records are kept in a database. Following student identification, attendance is recorded. Artificial intelligence is also proposed as a component of the system. The system will aid in the reduction of errors and the more effective compilation of attendance data.

Downloads

Download data is not yet available.

Author Biographies

Mohamad Fakir Naen

Computing Department, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris. Tanjung Malim, Malaysia.

Muhamad Hariz Muhamad Adnan

National Child Development Research Centre, Universiti Pendidikan Sultan Idris. Tanjung Malim, Malaysia.

Nurul Adilah Yazi

Computing Department, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris. Tanjung Malim, Malaysia.

Chee Ken Nee

Computing Department, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris. Tanjung Malim, Malaysia.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
        Views : 1807
2021-12-23
    Downloads : 562
How to Cite
[1]
M. F. Naen, M. H. Muhamad Adnan, N. A. Yazi, and C. K. Nee, “Development of Attendance Monitoring System with Artificial Intelligence Optimization in Cloud”, International Journal of Artificial Intelligence, vol. 8, no. 2, pp. 88-98, Dec. 2021.
Issue
Vol 8 No 2: December 2021
Section
Articles

References

Z. N. Soe, A. M. Win, and D. T. H. Thoung, “Implementation of Fingerprint based Student Attendance System with Notification by GSM Module,” International Journal of Science and Engineering Applications, vol. 7, no. 9, pp. 260–264, 2018.

K. Krishnamurthi, S. I. Mary, B. N. Sumalatha, and A. Pereira, “Fingerprint Based Attendance System,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 4, no. 3, 2015. doi: 10.17148/IJARCCE.2015.43149

B. N. Mohapatra, J. Dsouza, Y. Sangoiy, and N. Shah, “Smart attendance system using real time face recognition,” International Journal of Technology, vol. 8, no. 1, pp. 1, 2018. doi: 10.5958/2231-3915.2018.00001.9

M. P. Patil, A. Khachane, and P. V. Purohit, “A Wireless Fingerprint Attendance System,” International Journal of Security, Privacy and Trust Management (IJSPTM), vol. 5, no. 4, 2016. doi: 10.5121/ijsptm.2016.5402

K. Dharavath, F. A. Talukdar, and R. H. Laskar, “Study on biometric authentication systems, challenges and future trends: A review.” in IEE International Conference on Computational Intelligence and Computing Research, 2013, IEEE. doi: 10.1109/ICCIC.2013.6724278

I. Journal, H. Walia, and N. Jain, “Fingerprint Based Attendance Systems-A Review” International Research Journal of Engineering and Technology, vol. 8, no. 12, 2016.

I. Justina, “Fingerprint-Based Authentication System for Time and Attendance Management,” British Journal of Mathematics & Computer Science, vol. 5, no. 6, pp. 735–747, 2015.

V. Desai, Y. Gore, S. Jankar, and S. V. Patil, “Attendance Management using Biometrics with SMS Alerts,” International Journal for Research in Applied Science & Engineering Technology, vol. 6, no. 1, 2018.

S. N. Rahman, S. S. Bashar, Md. A. al Mahmud, Md. S. Miah, A. H. M. Z. Karim, and M. Marium, “A Security System for Kindergarten School Using RFID Technology,” Journal of Computer and Communications, vol. 7, no. 4, pp. 21–30, 2019.

G. Singh, R. Dwivedi, and A. Anand, “Attendance monitoring and management using QR code based sensing with cloud based Processing,” International Journal of Scientific Research in Computer Science Applications and Management Studies IJSRCSAMS, vol. 8, no. 5, 2019.

P. Kovelan, N. Thisenthira, and T. Kartheeswaran, “Automated Attendance Monitoring System Using IoT,” International Conference on Advancements in Computing (ICAC), 2019.

S. Tamilselvan, R. Ramesh, R. Niveda, P. Poonguzhali, and S. Dharani, “IoT based Touch-free Attendance System (ITAS),” in Journal of Physics: Conference Series, 2021, IEEE.

P. Agarwal, V. K. Shukla, R. Gupta, and S. Jhamb, "Attendance Monitoring System Through RFID, Face detection and Ethernet Network: A Conceptual Framework for Sustainable Campus," in 2019 4th International Conference on Information Systems and Computer Networks (ISCON), 2019, pp. 321-325, doi: 10.1109/ISCON47742.2019.9036209.

V. B. Kirubanand, “An enhanced biometric attendance monitoring system using queuing petri nets in private cloud computing with playfair cipher,” Journal of Advanced Research in Dynamical and Control Systems, vol. 12, no. 5, pp. 459–468, 2020.

V. Ruhitha, R.V.N. Prudhvi, and G. Geetha, “Implementation of IOT based attendance management system on raspberry pi,” in Proceedings of the International Conference on Intelligent Sustainable Systems, 2019, pp. 584–587.

M. D. Rahmatya, M. F. Wicaksono, H. O. Lasisi, B. R. Ajibade, O. C. Ajayi, O. O. Obiyemi, S. C. Thakur, and E. Adetiba, “Implementation of cloud-based biometric attendance system for educators in a developing country,” in Journal of Physics: Conference Series, 2021.