Innovative Biometric Attendance Monitoring System with Analytics for Enhanced Church Management
Bernandino P. Malang | Carmelita O. Tanig
Discipline: Computer Science
Abstract:
The research in this paper aimed at designing, implementing and evaluating the novel biometric attendance monitoring system, inte- grated with built-in analytics for improving management in a church. Current approaches to attendance monitoring in congrega- tions were often costly, in-accurate, voluminous, and inefficient, re- sulting 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. Sev- eral church services were conducted, and a 97.5% recognition accu- racy 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 admin- istrators to view attendance trends, timeliness, and age group par- ticipation. 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 offer- ing 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. The mean score for the Actual System Use construct was slightly lower (4.2), but the results indicated that additional training and operation reinforce- ment was needed to enhance consistent use of the system. In addi- tion, the software quality model ISO/IEC 25010:2023 was used to evaluate the system, and excellent ratings were obtained in the fields of security (4.7), functional suitability (4.6) and usability (4.5); maintainability (4.1), portability (4.2) and compatibility (4.2) were identified as fields in which the system can be improved. In general, the results showed that the biometric attendance monitor- ing system that is proposed succeeded in making attendance easier to record and is an effective tool for supporting decisions made by the church administration. The study also highlighted the possibility *Corresponding author: E-mail: bernandino.malang@bulsu.edu.ph Malang & Tanig, 2026 / Innovative Biometric Attendance Monitoring System with Analytics for Enhanced Church Management IJMABER 3035 Volume 7 | Number 7 | July | 2026 of scaling-up and replicating the developed system for other faith- based organizations who might want to use biometric technologies and analysis in order to: enhance their operations, engage their members more effectively, and promote sustainable practices in their ministries, as well as additional opportunities for the system to be scaled-up and replicated.
References:
- ADESOBA, O. C., & ISRAEL, J.(2022). A finger-print-based attendance system for improved efficiency. ResearchGate. Retrieved from
- AKINDUYITE, C. O., ADETUNMBI, A. O., OLABODE, O. O., & IBIDUNMOYE, E. O.(2013). Fingerprint-based attendance management system. Journal of Com-puter 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-manage-ment-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/de-signing-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.ijinfo-mgt.2014.10.007
- HIGHSMITH, J.(2002). Agile software development ecosystems. Addison-Wesley Professional. Retrieved from https://www.pearson.com/en-us/sub-ject-catalog/p/agile-software-develop-ment-ecosys-tems/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 —Sys-tems and software Quality Requirements and Evaluation (SQuaRE) —System and software quality models. International Organization for Standardization. Retrieved from https://www.iso.org/stand-ard/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 bio-metrics 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.
- 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.minis-trybrands.com/church/manage-ment/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
- 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 Bio-medical 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.cureusjour-nals.com/articles/164-smart-attend-ance-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://smartchurchmanage-ment.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.da-jour.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.wikipe-dia.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.evalprog-plan.2022.102093