I-CHECKIN@PKB: The acceptance among Politeknik Kota Bharu staff
DOI:
https://doi.org/10.37134/jictie.vol11.1.7.2024Keywords:
I-Checkin@PKB, attendance monitoring system, user acceptance, perceived ease of use, perceived usefulnessAbstract
I-Checkin@PKB has been utilized at Politeknik Kota Bharu (PKB) for nearly six months, replacing the thumbprint attendance monitoring system. With I-Checkin@PKB, users can eliminate the need to wait in line at the centralized terminal for attendance registration, making it more efficient and hygienic. This system helps avoid potential germ transmission through contact with the same terminal, particularly amidst the challenges posed by Covid-19 and viral fever outbreaks. While the management of PKB has received verbal feedback from users, the actual level of user acceptance regarding I-Checkin@PKB remains unknown. Therefore, this study aims to investigate the acceptance level among I-Checkin@PKB users, focusing on perceived ease of use, perceived usefulness, attention to use, and behavioral intention. The study involved 100 respondents selected through random sampling. Utilizing 12 items with a Cronbach Alpha reliability coefficient of α=0.97, representing the constructs, the results indicated a high level of acceptance among users regarding I-Checkin@PKB, including its ease of use, usefulness, attention, and behavioral intention. Furthermore, the positive perceptions among I-Checkin@PKB users are likely to garner continuous support due to its ability to reduce the risk of human error associated with manual methods, such as paper-based attendance sheets. It is crucial to emphasize that while I-Checkin@PKB systems offer numerous benefits, their successful implementation necessitates clear communication, employee training, and consideration of privacy and security concerns to ensure a positive experience for both employees and the organization.
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References
Adamu, A. (2019). Attendance management system using fingerprint and iris biometric. Federal University Dutsin-Ma Journal of Sciences, 3(4), 427–433. https://fjs.fudutsinma.edu.ng/index.php/fjs/article/view/1667
Al Amin, S., Islam, M. A., & Islam, M. S. (2021). A fingerprint based smart attendance and security system using Internet of Things (IoT) and ultrasonic sensor. International Conference on Automation, Control and Mechatronics for Industry 4.0, 1–5. https://doi.org/10.1109/ACMI53878.2021.9528092
Alagasan, K., Alkawaz, M. H., Hajamydeen, A. I., & Mohammed, M. N. (2021). A review paper on advanced attendance and monitoring systems. 12th Control and System Graduate Research Colloquium, 195–200. https://doi.org/10.1109/ICSGRC53186.2021.9515249
Andre, A., & Suciadi, M. F. (2022). The online attendance system models for educational institutions. American Institute of Physics Conference Proceedings. AIP Publishing. https://doi.org/10.1063/5.0050146
Baldwin, M. (2020). Attendance and punctuality policy 2020-2021. EBN Academy. http://ebnacademy2.co.uk/wp-content/uploads/2021/09/Attendance-Policy-Oct-2020.pdf
Davis, F. D. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science Journal, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Fauziah, Z., Latifah, H., Rahardja, U., Lutfiani, N., & Mardiansyah, A. (2021). Designing student attendance information systems web based. Aptisi Transactions on Technopreneurship Journal, 3(1), 23–31. https://doi.org/10.34306/att.v3i1.114
Galgale, S. S., Yamakanamardi, J. S., Koli, S. R., & Desai, M. J. (2023). The location-based attendance system. International Research Journal of Modernization in Engineering Technology and Science, 5(4). https://www.irjmets.com/uploadedfiles/paper/issue_4_april_2023/35384/final/fin_irjmets1681110508.pdf
George, D., & Mallery, M. (2010). SPSS for Windows step by step: A simple guide and reference (10th ed.). Pearson.
Hassan, H., Rahmatullah, B., & Mohamad Nordin, N. (2014). Towards School Management System (SMS) success in teacher’s perception. Malaysian Online Journal of Educational Technology, 2(4), 50–60.
Hasbullah, N. H., Rahmatullah, B., Rasli, R. M., Khairudin, M., & Downing, K. (2022). Google Meet usage for continuity and sustainability of online education during pandemic. Journal of ICT in Education, 9(2), 46-60.
JosephNg, P. S., & Chow, S. R. (2022). Jom attendance: Making facial business sense. Journal of Telecommunication, Electronic and Computer Engineering, 14(1), 1–5. https://jtec.utem.edu.my/jtec/article/view/6139
Jusoh, J. A., Rose, A. N. M., Aledinat, L. S., Altrad, A., Saany, S. I. A., Aseh, K., & El-Ebiary, Y. A. B. (2021). Track student attendance at a time of the Covid-19 pandemic using location-finding technology. 2nd International Conference on Smart Computing and Electronic Enterprise), 147–152.
Kumawat, D., Shrimali, G., Malviya, K., Kataria, M., Intodia, P., & Teli, B. (2021). Attendance management system using fingerprint and voice recognition with geofence. International Journal of Advanced Research in Computer Science, 12, 40.
Mohamad Kasim, F. S., Rahmatullah, B., Rahmatullah Khan, H. K., Rosli, A. N., Che Lah, N. H., Hidayanto, A. N., & Matthíasdóttir, Á. (2023). The effectiveness of online supervision for postgraduate students: A systematic literature review. ASEAN Journal of Teaching & Learning in Higher Education, 15(2).
Mousavi, S. M., Karimi, A., Zakerian, S. A., & Jahadi Naeini, M. (2020). Factors affecting performance of permit to work system: A case study in an oil refinery. Archives of Occupational Health, 4(4), 863–869. https://doi.org/10.18502/aoh.v4i4.45122
Munthe, B., Arifin, A., Nugroho, B. S., & Fitriani, E. (2021). Online student attendance system using Android. Journal of Physics: Conference Series, 1933(1). https://doi.org/10.1088/1742-6596/1933/1/012048
Oxford, R. L., & Burry-Stock, J. A. (1995). Assessing the language learning strategies worldwide with the ESL/EFL version of the strategy inventory language learning. System, 23, 1-23. https://doi.org/10.1016/0346-251X(94)00047-A
Pavithra, M. P., Sarika, A. S., & Rajendran, A. (2021). Attendance management system using RFID technology. Advance Sustainable Science, Engineering and Technology (ASSET) Journal, 4(1), 0220104-1-0220104-9. https://doi.org/10.26877/asset.v4i1.11678
Preethi K., Chiluka S., Bhavya V., Kumar K.P., Krishna P.V. (2020). Face recognition based attendance tracking system for education sectors. Junikhyat Journal. https://doi.org/10.17577/IJERTV9IS05086
Raj, M., & Mahajan, T. (2021). Study of opinions related to the use of bio-enabled attendance system for improving punctuality among teachers. MIER Journal of Educational Studies Trends and Practices, 11(1), 41–52. https://doi.org/10.52634/mier/2021/v11/i1(a)SPL/1911
Rao, A. (2022). AttenFace: A real time attendance system using face recognition. 6th Conference on Information and Communication Technology (CICT),1–5. https://doi.org/10.1109/CICT56698.2022.9998001
Roslin, A. R., Rahmatullah, B., Zain, N. Z. M., Purnama, S., & Yas, Q. M. (2022). Online learning for vocational education: Uncovering emerging themes on perceptions and experiences. Journal of Vocational Education Studies, 5(1), 1-15.
Senthilkumar, S., Bhuvaneswari, S., & Clapton, E. (2020). Smart monitoring system using RFID technology. 6th International Conference on Advanced Computing and Communication Systems,1430–1433. https://doi.org/10.1109/ICACCS48705.2020.9074448
Shahrizal, A. Z. S. A., Rahmatullah, B., Ab Majid, M. H., Samuri, S. M., Hidayanto, A. N., Yas, Q. M., & Malim, T. (2022). A systematic literature review on the use of podcasts in education among university students. ASEAN Journal of Teaching and Learning in Higher Education, 14(1), 222-236.
Shashikala, H. K., Shakya, S. N., Panjiyar, P., Upreti, A. S., & Dadapeer, S. (2022). Attendance monitoring system using face recognition. International Journal of Information Technology, Research and Applications, 1(3), 15–22. https://doi.org/10.5281/zenodo.7385439
Sudin, I. A. A., Rahmatullah, B., Abdullah, M. F. W., Tamrin, K. F., Khairudin, M., & Yahya, S. R. (2022). A systematic literature review study on university students' exposure to 3d printing as preparation for industry. Journal of ICT in Education, 9(1), 48-60
Tirupal, T., Praneeth, E. S., Srihari, P., Kiran, K. S., & Pasha, M. K. (2019). Efficient attendance management using multiple face recognition. Elixir Computer Engineering Journal, 137, 53899–53904.
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Copyright (c) 2024 KAMILAH ZAINUDDIN, Mohd Zaidi Che Mod, Noor Asmaa’ Hussein, Asmaa AlSaqqaf
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