A Review of Students Attendance Management Systems
DOI:
https://doi.org/10.23918/eajse.v10i3p13Keywords:
Students Attendance Management System, Fingerprint, Face Recognition, Class Attendance, QR Code, Mobile Attendance, Taxonomy of AttendanceAbstract
The utilization of paper and pen for recording student attendance is a conventional method which is prevalent across a plethora of educational institutions. However, this technique is fraught with various challenges and inefficiencies, primarily owing to the extensive duration required in its execution. Additionally, it necessitates a secondary phase of data entry for report generation. This method is also susceptible to malpractices such as proxy attendance, where students may sign on behalf of their peers. Consequently, this mode of attendance documentation lacks security and is less favored. Scholars have, over a substantial time span, presented an assortment of alternative paradigms for managing student attendance. The pertinent academic literature on automated attendance systems can be dichotomized into two broad categories: those that employ biometric technologies and those that do not. Biometric systems are contingent on physiological attributes for authentication, by juxtaposing the captured data with pre-existing records. The incorporation of biometric verification in affirming identity and authorizing access to automated systems has gained traction and is now ubiquitous. Conversely, a segment of the academic community has explored non-biometric attendance systems, employing an eclectic mix of techniques. This manuscript undertakes an exhaustive analysis of over forty empirical studies and proffers a new taxonomy for student attendance management systems.
References
[1] Hasan M, Saha D, Ferdosh J, Nur FN, Moon NN, Saifuzzaman M. Bssid based monitoring class attendance system using wifi. In2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) 2019 Dec 12 (pp. 243-248). IEEE. https://doi.org/10.1109/I-SMAC47947.2019.9032699
[2] Pambudi DS, Bariyah T. Student attendance system using wifi direct and temporary wi-fi hotspot. Jurnal Ilmu Komputer dan Informasi. 2020 Mar 14;13(1):1-8. https://doi.org/10.21609/jiki.v13i1.750
[3] Sidi J, Junaini SN, Lau SL. ISAMS: Tracking student attendance using interactive student attendance management system," in Proceedings of the 3rd Malaysian Software Engineering Conference, 2007: 218-223.
[4] Nuhi A, Memeti A, Imeri F, Cico B. Smart attendance system using qr code. In2020 9th mediterranean conference on embedded computing (MECO) 2020 Jun 8 (pp. 1-4). IEEE. https://doi.org/10.1109/MECO49872.2020.9134225
[5] Gomis-Porqueras P, Meinecke J, Rodrigues-Neto JA. New technologies in higher education: Lower attendance and worse learning outcomes?. Agenda: A Journal of Policy Analysis and Reform. 2011 Jan 1:69-83.
[6] Al-Shammari Z. Benefits of using tested attendance system to enhance student attendance and achievement in higher education. Journal of Advanced Social Research. 2012 May;2(3):120-5.
[7] Kumbhar AA, Wanjara KS, Trivedi DH, Khairatkar AU, Sharma D. Automated attendance monitoring system using android platform. International Journal of Current Engineering and Technology. 2014 Apr;4(2):1096-9.
[8] Abdulkareem A, Ike DU, Olowononi F. Development of a radio frequency identification based attendance management application with a pictorial database framework. International Journal of Research in Information Technology. 2014 Apr;2(4):621-8.
[9] Shoewu O, Makanjuola NT, Olatinwo SO. Biometric-based attendance system: LASU Epe campus as case study. American Journal of Computing Research Repository. 2014 Jan 23;2(1):8-14. https://doi.org/10.12691/ajcrr-2-1-2
[10] Alia MA, Tamimi AA, Al-Allaf ON. Integrated system for monitoring and recognizing students during class session. The International Journal of Multimedia & Its Applications. 2013 Dec 1;5(6):45.
[11] Dey S, Barman S, Bhukya RK, Das RK, Haris BC, Prasanna SM, Sinha R. Speech biometric based attendance system. In2014 twentieth national conference on communications (NCC) 2014 Feb 28 (pp. 1-6). IEEE. https://doi.org/10.1109/NCC.2014.6811345
[12] Reda A, Panjwani S, Cutrell E. Hyke: a low-cost remote attendance tracking system for developing regions. InProceedings of the 5th ACM workshop on Networked systems for developing regions 2011 Jun 28 (pp. 15-20). https://doi.org/10.1145/1999927.1999933
[13] Nikam P, Ahuja B, Deshmukh M. Combined RFID-Biometric based MIS forStudent Information.
[14] Rahni AA, Zainal N, Adna MZ, Othman NE, Bukhori MF. Development of the online student attendance monitoring system (SAMSTM) based on QR-codes and mobile devices. J. Eng. Sci. Technol. 2015 Jun 1;10:28-40.
[15] Kakarla S, Gangula P, Rahul MS, Singh CS, Sarma TH. Smart attendance management system based on face recognition using CNN. In2020 IEEE-HYDCON 2020 Sep 11 (pp. 1-5). IEEE. https://doi.org/10.1109/HYDCON48903.2020.9242847
[16] Solanki K, Pittalia P. Review of face recognition techniques. International Journal of Computer Applications. 2016 Jan;133(12):20-4.
[17] Stoll C, Palluel-Germain R, Caldara R, Lao J, Dye MW, Aptel F, Pascalis O. Face recognition is shaped by the use of sign language. The Journal of Deaf Studies and Deaf Education. 2018 Jan 1;23(1):62-70. https://doi.org/10.1093/deafed/enx034
[18] Yang H, Han X. Retracted: Face recognition attendance system based on real-time video processing. IEEE Access. 2020 Jul 10;8:159143-50. https://doi.org/10.1109/ACCESS.2020.3007205
[19] Kar N, Debbarma MK, Saha A, Pal DR. Study of implementing automated attendance system using face recognition technique. International Journal of computer and communication engineering. 2012 Jul 1;1(2):100-3.
[20] Arya S, Mesariya H, Parekh V. Smart attendance system usign cnn. arXiv preprint arXiv:2004.14289. 2020 Apr 22. https://doi.org/10.48550/arXiv.2004.14289
[21] Bhattacharya S, Nainala GS, Das P, Routray A. Smart attendance monitoring system (SAMS): a face recognition based attendance system for classroom environment. In2018 IEEE 18th international conference on advanced learning technologies (ICALT) 2018 Jul 9 (pp. 358-360). IEEE. https://doi.org/10.1109/ICALT.2018.00090
[22] Kawaguchi Y, Shoji T, Lin W, Kakusho K, Minoh M. Face recognition-based lecture attendance system. InThe 3rd AEARU workshop on network education 2005 Oct (pp. 70-75).
[23] Nishiguchi S, Higashi K, Kameda Y, Minoh M. A sensor-fusion method for detecting a speaking student. In2003 International Conference on Multimedia and Expo. ICME'03. Proceedings (Cat. No. 03TH8698) 2003 Jul 6 (Vol. 1, pp. I-129). IEEE. https://doi.org/10.1109/ICME.2003.1220871
[24] Sawhney S, Kacker K, Jain S, Singh SN, Garg R. Real-time smart attendance system using face recognition techniques. In2019 9th international conference on cloud computing, data science & engineering (Confluence) 2019 Jan 10 (pp. 522-525). IEEE. https://doi.org/10.1109/CONFLUENCE.2019.8776934
[25] Wagh P, Thakare R, Chaudhari J, Patil S. Attendance system based on face recognition using eigen face and PCA algorithms. In2015 International Conference on Green Computing and Internet of Things (ICGCIoT) 2015 Oct 8 (pp. 303-308). IEEE. https://doi.org/10.1109/ICGCIoT.2015.7380478
[26] Asha P, Bekkem CR, Priya YS, Mathivanan G, Grace LJ, Srinivasan N. The Face Sync-Smart Attendance System. In2024 International Conference on Expert Clouds and Applications (ICOECA) 2024 Apr 18 (pp. 171-178). IEEE. https://doi.org/10.1109/ICOECA62351.2024.00042
[27] Ezema LS, Joe-Uzuegbu CK, Eneh JN, Amanze I. Fingerprint based attendance management system. International journal of scientific and Engineering research. 2015 Jul;6(7):1623-8.
[28] Acharya D, Mishra AK. Wireless Fingerprint based Student Attendance system (Doctoral dissertation). 2010.
[29] Akinduyite CO, Adetunmbi AO, Olabode OO, Ibidunmoye EO. Fingerprint-based attendance management system. Journal of Computer Sciences and Applications. 2013 Nov;1(5):100-5. https://doi.org/10.12691/jcsa-1-5-4
[30] Walia H, Jain N. Fingerprint based attendance systems-a review. International Research Journal of Engineering and Technology. 2016 Sep;3(5):1166-71.
[31] Gupta PV. Fingerprint based student attendance system using GSM. International Journal of Science and Research (IJSR) ISSN (Online). 2013:2319-7064.
[32] Yadav DK, Singh S, Pujari S, Mishra P. Fingerprint based attendance system using microcontroller and LabView. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 2015 Jun;4(6):5111-21.
[33] Wang J. The design of teaching management system in universities based on biometrics identification and the Internet of Things technology. In2015 10th International Conference on Computer Science & Education (ICCSE) 2015 Jul 22 (pp. 979-982). IEEE. https://doi.org/10.1109/ICCSE.2015.7250393
[34] Sarana S, Sadida A, Mansyur AW, Suwondo A. Design and development of student attendance information system using QR code in accounting department of Politeknik Negeri Semarang. InIOP Conference Series: Materials Science and Engineering 2021 Mar 1 (Vol. 1108, No. 1, p. 012012). IOP Publishing.
[35] Hendry MR, Rahman MN, Seyal AH. Smart attendance system applying QR code. In12th International Conference on Latest Trends in Engineering and Technology May 2017 May 22 (pp. 22-24).
[36] Subramaniam H, Hassan M, Widyarto S. Bar code scanner based student attendance system (sas). Jurnal TICom. 2013 May 1;1(3).
[37] Deugo D. Using qr-codes for attendance tracking. InProceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS) 2015 (p. 267). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
[38] Zheng M, Li S, Fan H. Classroom Attendance Detection using a Wi-Fi Positioning Algorithm. InProceedings of the International Conference on Software Engineering Research and Practice (SERP) 2016 (p. 243). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
[39] Alfarizi M, Primananda R, Siregar RA. Implementasi Smart Identification Menggunakan Perangkat Smartphone dengan Raspberry PI (Studi Kasus: SMAN 2 Balikpapan). Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. 2018 Jan 15;2(8):2899-906.
[40] Choi M, Park JH, Yi G. Attendance check system and implementation for Wi-Fi networks supporting unlimited number of concurrent connections. International Journal of Distributed Sensor Networks. 2015 Jul 8;11(7):508698. https://doi.org/10.1155/2015/508698
[41] Apoorv R, Mathur P. Smart attendance management using bluetooth low energy and android. In2016 IEEE Region 10 Conference (TENCON) 2016 Nov 22 (pp. 1048-1052). IEEE. https://doi.org/10.1109/TENCON.2016.7848166
[42] Azmi MM, Zabil MM, Lim KC, Azman RR, Adnan NN, Azman MM. UNITEN Smart Attendance System (UniSas) Using Beacons Sensor. In2018 IEEE Conference on e-Learning, e-Management and e-Services (IC3e) 2018 Nov 21 (pp. 35-39). IEEE. https://doi.org/10.1109/IC3e.2018.8632631
[43] Noguchi S, Niibori M, Zhou E, Kamada M. Student attendance management system with bluetooth low energy beacon and android devices. In2015 18th International Conference on Network-Based Information Systems 2015 Sep 2 (pp. 710-713). IEEE. https://doi.org/10.1109/NBiS.2015.109
[44] C. Ganjiwale, R. Bachhav, T. Bagal, H. Magar, and C. Sukte, "Efficient Attendance Management: A Smart Bluetooth-Based System for Seamless Monitoring and Automation," in 2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon), 25-27 April 2024 2024, pp. 1-5, https://doi.org/10.1109/MITADTSoCiCon60330.2024.10575910.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Mohamad Aldabagh

This work is licensed under a Creative Commons Attribution 4.0 International License.
Eurasian J. Sci. Eng is distributed under the terms of the Creative Commons Attribution License 4.0 (CC BY-4.0) https://creativecommons.org/licenses/by/4.0/