Innovative Biometric Attendance Monitoring System with Analytics for Enhanced Church Management

Authors

DOI:

https://doi.org/10.11594/

Keywords:

Attendance Analytics, Biometric Attendance Monitoring, Church Management, Decision-Support System, Faith-Based Organizations, Fingerprint Recognition, ISO/IEC 25010, R307 Fingerprint Sensor, Technology Acceptance Model (TAM), User Acceptance

Abstract

The research in this paper aimed at designing, implementing and evaluating the novel biometric attendance monitoring system, integrated with built-in analytics for improving management in a church. Current approaches to attendance monitoring in congregations were often costly, in-accurate, voluminous, and inefficient, resulting in a lack of timely and accurate information for leadership to use in decision making. The suggested solution was to have the R307 fingerprint sensor to be embedded in the centralized MySQL database which would accurately and securely capture the time-in and time-out events with minimal inconvenience to the user. Several church services were conducted, and a 97.5% recognition accuracy for fingerprints and an average time to transact of 1–2 seconds were achieved on average, resulting in significantly less duplicate attendance and proxy check-in records. The system offered real-time dashboards and scheduled analytical reports, enabling administrators to view attendance trends, timeliness, and age group participation. These analytical skills helped to make tactical decisions, such as increasing numbers of ushers during the busiest services and strategic decisions, such as increasing worship time and offering targeted pastoral follow-up activities.The evaluation showed that the overall results of the user acceptance rate based on the Technology Acceptance Model (TAM) were high, with the attitude to use, perceived usefulness and perceived ease of use with excellent ratings of 99.6%, 99.8%, and 99.8%, respectively. 

Downloads

Download data is not yet available.

References

ADESOBA, O. C., & ISRAEL, J. (2022). A fingerprint-based attendance system for improved efficiency. ResearchGate. Retrieved from https://www.researchgate.net/publication/388934724_A_Fingerprint-Based_Attendance_System_for_Improved_Efficiency

AKINDUYITE, C. O., ADETUNMBI, A. O., OLABODE, O. O., & IBIDUNMOYE, E. O. (2013). Fingerprint-based attendance management system. Journal of Computer Science and Applications, 1(5), 97–101. https://doi.org/10.12691/jcsa-1-5-4

BADMUS, E. O. (2021). Smart fingerprint biometric and RFID time-based attendance management system. Journal of Physics: Conference Series, 1734(1), 012012. https://doi.org/10.1088/1742-6596/1734/1/012012

BECK, A., & MOORE, T. (2020). Adopting digital tools in small faith communities: Barriers and strategies for sustainable use. Journal of Religion, Media and Digital Culture, 9(2), 145–166. https://doi.org/10.1163/21659214-00902003

CHURCH TECH TODAY. (2025, July 10). Why do small churches need church management software? Retrieved from https://churchtechtoday.com/why-do-small-churches-need-church-management-software

COSCIA, A., SUH, H., CHANG, R., & ENDERT, A. (2024). Preliminary guidelines for combining data integration and visual data analysis. https://doi.org/10.1109/TVCG.2023.3334513

CRESWELL, J. W., & PLANO CLARK, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). SAGE Publications. Retrieved from https://us.sagepub.com/en-us/nam/designing-and-conducting-mixed-methods-research/book241842

DAVIS, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

GANDOMI, A., & HAIDER, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007

HIGHSMITH, J. (2002). Agile software development ecosystems. Addison-Wesley Professional. Retrieved from https://www.pearson.com/en-us/subject-catalog/p/agile-software-development-ecosystems/P200000003593/9780201760439

HOLLEMAN, A., ROSO, J., & CHAVES, M. (2022). Religious congregations’ technological and financial capacities on the eve of the COVID-19 pandemic. Review of Religious Research, 64(1), 99–122. https://doi.org/10.1007/s13644-021-00465-y

HOO, S. C. (2019). Biometric-based attendance tracking system for education sectors: A literature survey on hardware requirements. Journal of Computer Networks and Communications, 2019, 7410478. https://doi.org/10.1155/2019/7410478

ISO/IEC. (2023). ISO/IEC 25010:2023 – Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — System and software quality models. International Organization for Standardization. Retrieved from https://www.iso.org/standard/85294.html

JAIN, A. K., ROSS, A., & PRABHAKAR, S. (2004). An introduction to biometric recognition. IEEE Transactions on Circuits and Systems for Video Technology, 14(1), 4–20. https://doi.org/10.1109/TCSVT.2003.818349

KHATMISAFITRI, I. L. (2019). RFID-based attendance systems using biometric principles. Journal of Physics: Conference Series, 1367(1), 012070. https://doi.org/10.1088/1742-6596/1367/1/012070

KUMAR, D., SINGH, G., & KAUR, R. (2022). Implementation of enhanced IoT-based biometrics attendance system using R307 fingerprint sensor with Arduino UNO and real-time database to improve accuracy. International Journal of Advances in Engineering and Management, 4(5), 985–988. https://doi.org/10.35629/5252-0405985988

LI, L. (2024). From data siloes to seamless integration and coordination: A data asset centric approach. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-03-2024-0274

MINISTRY BRANDS. (2024). Church management technology: Enhancing ministry through digital tools. Retrieved from https://www.ministrybrands.com/church/management/technology

MOHAMMED, K., TOLBA, A. S., & ELMOGY, M. (2018). Multimodal student attendance management system (MSAMS). Ain Shams Engineering Journal, 9(4), 2917–2929. https://doi.org/10.1016/j.asej.2018.08.002

MULLER, J., & FRIEMEL, T. N. (2024). Dynamics of digital media use in religious communities—A theoretical model. Religions, 15(7), 762. https://doi.org/10.3390/rel15070762

NIELSEN, J. (2012). Usability 101: Introduction to usability. Nielsen Norman Group. Retrieved from https://www.nngroup.com/articles/usability-101-introduction-to-usability/

Nonprofit Technology Landscape. (2025). Nonprofit technology. In Wikipedia. Retrieved August 15, 2025, from https://en.wikipedia.org/wiki/Non-profit_technology

O’LEARY, T. K. (2021). Examining the intersections of race, religion, and technology adoption. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 1–6. https://doi.org/10.1145/3411764.3445418

OKEREAFOR, K., & MANNY, P. (2020). Fingerprint biometric system hygiene and the risk of COVID-19 transmission. JMIR Biomedical Engineering, 5(1), e19623. https://doi.org/10.2196/19623

PANCHBHAI, V. V. (2024). Smart attendance system: An Internet of Things (IoT)-enabled concept. Cureus Journals. Retrieved from https://www.cureusjournals.com/articles/164-smart-attendance-system-an-internet-of-things-iot-enabled-concept.pdf

PATEL, J. (2019). Bridging data silos using big data integration. International Journal of Database Management Systems, 11(2/3), 1–6. https://doi.org/10.5121/ijdms.2019.11301

PUSHPAY. (2024). How to track church attendance to gauge growth. Retrieved from https://pushpay.com/blog/how-to-track-church-attendance-to-gauge-growth

RANKIN, J. L. (2024). Implications of digital church for Christian leaders. Cogent Arts & Humanities, 11(1), 2408868. https://doi.org/10.1080/23311983.2024.2408868

SARASWAT, D., BHATTACHARYA, P., SHAH, T., SATANI, R., & TANWAR, S. (2023). Anti-spoofing-enabled contactless attendance monitoring system in the COVID-19 pandemic. Procedia Computer Science, 218, 1506–1515. https://doi.org/10.1016/j.procs.2023.01.129

SMART CHURCH MANAGEMENT. (2024). Church attendance: Why tracking matters. Retrieved from https://smartchurchmanagement.com/church-attendance

SULLIVAN, G. M., & ARTINO, A. R. JR. (2013). Analyzing and interpreting data from Likert-type scales. Journal of Graduate Medical Education, 5(4), 541–542. https://doi.org/10.4300/JGME-5-4-18

SUSNJAK, T. (2022). The role of dashboard design in enhancing decision-making: A review and research agenda. Decision Analytics Journal, 3, 100056. https://doi.org/10.1016/j.dajour.2022.100056

VENKATESH, V., MORRIS, M. G., DAVIS, G. B., & DAVIS, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

WIKIPEDIA CONTRIBUTORS. (2025). Information silo. In Wikipedia. Retrieved August 15, 2025, from https://en.wikipedia.org/wiki/Information_silo

ZANTI, S. (2022). Leveraging integrated data systems for improved evaluation and decision making. Journal of Public Sector Analytics. https://doi.org/10.1016/j.evalprogplan.2022.102093

Downloads

Published

24-07-2026

How to Cite

Malang, B. P., & Tanig, C. O. (2026). Innovative Biometric Attendance Monitoring System with Analytics for Enhanced Church Management. International Journal of Multidisciplinary: Applied Business and Education Research, 7(7), 3034-3052. https://doi.org/10.11594/