An Effective Attendance Monitoring System with Fraud Prevention Technique for Educational Institutions

  • Authors

    • Khandker M Qaiduzzaman Department of Software Engineering, Daffodil International University, Dhaka
    • Mohammad Shahjahan Oscillosoft Pty Limited, Dhaka
    • Sadman Sobhan Dohatec New Media, Dhaka
    • Md. Shohel Arman Department of Software Engineering, Daffodil International University, Dhaka
    • Manan Binth Taj Noor Department of Software Engineering, Daffodil International University, Dhaka
    • Mostafijur Rahman Department of Software Engineering, Daffodil International University, Dhaka
    2018-07-25
    https://doi.org/10.14419/ijet.v7i3.13974
  • Attendance monitoring, fraud prevention, RFID, radio frequency identification, student attendance

  • In this article, an Attendance Monitoring System (AMS) is proposed for educational institutions. The novel aspect of this work is to integrate a password-protected attendance counting module with the system. The module can effectively limit the fraudulent activities in attendance monitoring process. Besides that, some constraints are proposed to increase the security of the AMS. Based on the constraints a new system is designed to maintain the attendance data and the user information. The aim of this research is to design an effective AMS using the Radio Frequency Identification (RFID) technology to prevent fraudulence. Besides, the attention is given to the usability and the efficiency of the system. For this purpose, a usability testing named System Usability Scale (SUS) is used after implementing the system in the real world. The usability test result shows that the proposed system has an average SUS score of 71.92 out of 100. The score indicates that the proposed system has the adjective rating, “good†(range 71.4 – 85.5). A performance testing is conducted by calculating the average response time for the system. The response time is collected by varying the number of RFID tags and the lengths of the serial cable. The average response time of the proposed system is found 1.11 second which is better than the traditional paper-based system.

  • References

    1. [1] M. Kassim, H. Mazlan, N. Zaini, and M. K. Salleh, “Web-based student attendance system using rfid technology,†in 2012 IEEE Control and System Graduate Research Colloquium, July 2012, pp. 213–218.

      [2] S. Nainan, R. Parekh, and T. Shah, “RFID technology based attendance management system,†CoRR, vol. abs/1306.5381, 2013. [Online]. Available: http://arxiv.org/abs/1306.5381

      [3] R. Anjum and V. Kamble, “Student tracking and attendance monitoring system using rfid,†2017.

      [4] J. Dwivedi, A. Tyagi, A. Pushkar, D. K. Tiwari, R. Anand, S. Dubey, B. K. Dubey, P. Agnihotri, and H. Kanpur, “Rfid technology based attendance management system,†International Journal of Engineering Science and Computing (IJESC), vol. 7, no. 3, 2017.

      [5] G. Maramis and P. Rompas, “Radio frequency identification (rfid) based employee attendance management system,†in IOP Conference Series: Materials Science and Engineering, vol. 306, no. 1. IOP Publishing, 2018, p. 012045.

      [6] E. Gupta, N. Singh, M. Saxena, K. Kartikey, and A. Sharma, “Smart attendance monitoring and counting system,†2018.

      [7] C. Zulkifli, H. Hassan, A. Zalay, S. Kamis, and N. Hassan, “Integrated rfid technology and wireless mesh network platform for boarding school management,†Journal of Fundamental and Applied Sciences, vol. 10, no. 6S, pp. 681–691, 2018.

      [8] H. D. Rjeib, N. S. Ali, A. Al Farawn, B. Al-Sadawi, and H. Alsharqi, “Attendance and information system using rfid and web-based applica-tion for academic sector,†management, vol. 9, no. 1, 2018.

      [9] J. D. Irawan, E. Adriantantri, and A. Farid, “Rfid and iot for attendance monitoring system,†in MATEC Web of Conferences, vol. 164. EDP Sciences, 2018, p. 01020.

      [10] B. C. Melinamath, N. B. Jamadar, N. B. Patil, and O. S. Killedar, “Smart attendance application,†2018.

      [11] G. Kavitha and K. Sankara, “Design and implementation of smart attendance system using raspberry pi,†2018.

      [12] M. M. D. Savio and S. Yuvaraj, “Attendance marking system using face recognition & rfid and prevention of examination malpractice system,†International Journal of Engineering & Technology, vol. 7, no. 2.8, pp. 599–602, 2018. [Online]. Available: https://www.sciencepubco.com/index.php/ijet/article/view/10541

      [13] “Mfrc522 - nxp semiconductors,†available online: https://www.nxp.

      com/docs/en/data-sheet/MFRC522.pdf, last visit: 23.05.2018.

      [14] “Arduino uno rev3,†available online: https://store.arduino.cc/usa/

      arduino-uno-rev3, last visit: 01.05.2018.

      [15] “Arduino-software,†available online: https://www.arduino.cc/en/Main/

      Software, last visit: 15.05.2018.

      [16] “Welcome to visual studio 2015-msdn-microsoft,†available online: https://msdn.microsoft.com/en-us/library/dd831853.aspx, last visit: 15.05.2018.

      [17] “Download microsoft sql server 2014 express,†available online: https:// www.microsoft.com/en-us/download/details.aspx?id=42299, last visit: 10.05.2018.

      [18] J. Brooke et al., “Sus-a quick and dirty usability scale,†Usability evaluation in industry, vol. 189, no. 194, pp. 4–7, 1996.

      [19] A. Bangor, P. Kortum, and J. Miller, “Determining what individual sus scores mean: Adding an adjective rating scale,†Journal of usability studies, vol. 4, no. 3, pp. 114–123, 2009.

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  • How to Cite

    Qaiduzzaman, K. M., Shahjahan, M., Sobhan, S., Arman, M. S., Taj Noor, M. B., & Rahman, M. (2018). An Effective Attendance Monitoring System with Fraud Prevention Technique for Educational Institutions. International Journal of Engineering & Technology, 7(3), 1593-1598. https://doi.org/10.14419/ijet.v7i3.13974