Enhancing efficiency and security: A study of automated visitors monitoring system in the Bureau of Jail Management and Penology
Leoncio O. Limyoco Jr.
Abstract
This study aimed to design, develop, and evaluate an Automated Visitors Monitoring System (AVMS) using fingerprint biometric technology to enhance visitor management efficiency and security in the Bureau of Jail Management and Penology (BJMP). A mixed methods approach was employed, integrating quantitative data from user surveys with qualitative insights from interviews and focus group discussions. Pilot testing at the Quezon District Jail in Pagbilao, Quezon involved 20 personnel and 200 visitors, with biometric accuracy evaluated through 918 fingerprint entries. The AVMS achieved 100% accuracy, with high user satisfaction (WAM = 4.88), confirming its reliability and institutional relevance. The AVMS achieved 100% accuracy with zero false acceptance or rejection rates. Users rated the system as “very satisfactory” (WAM = 4.88) and reliability “very reliable” (WAM = 4.88). Respondents noted faster processing times, improved record accuracy, and enhanced security. Suggestions for system refinement included visitor restriction tagging, service provider monitoring, alert notifications, and data recovery functions. The study was limited to a single facility and focused exclusively on fingerprint biometrics, which may affect its applicability in other settings. Future research involving multiple facilities and incorporating other biometric modalities is recommended to strengthen the findings. Nonetheless, the results provide strong evidence of the AVMS’s feasibility and highlight its potential for wider institutional adoption.
Keywords
automated visitor monitoring system, fingerprint recognition, jail security, BJMP, visitor management, correctional facilities
Author information & Contribution
Leoncio O. Limyoco Jr. PhD in Criminology at Philippine College of Criminology. Jail Officer, BJMP. limyocoleoncio@gmail.com
Disclosure statement
No potential conflict of interest was reported by the author(s).
Funding
This work was not supported by any funding.
Institutional Review Board Statement
This study was conducted in accordance with the ethical guidelines set by the Philippine College of Criminology (PCCR) and Bureau of Jail Management and Penology (BJMP). The conduct of this study has been approved and granted ethical clearance by the Philippine College of Criminology Research Ethics Committee.
Data and Materials Availability
AI Declaration
The author declares the use of Artificial Intelligence (AI) in writing this paper. In particular, the author used Google Scholar assisted AI tools for searching appropriate literature, identifying relevant references, and summarizing key points. The author takes full responsibility for reviewing, validating, and editing all AI assisted content.
Notes
Acknowledgement
References
Akingbade, L. O., & Adaramola, O. J. (2025). The impacts, benefits and challenges of finger biometrics attendance for students and staff of higher institutions. International Journal of Research Publication and Reviews, 6(5), 7858–7862. https://ijrpr.com/uploads/V6ISSUE5/IJRPR45700.pdf
Alrawili, R., AlQahtani, A. A. S., & Khan, M. K. (2024). Comprehensive survey: Biometric user authentication application, evaluation, and discussion. Computers and Electrical Engineering, 114, 109485. https://doi.org/10.1016/j.compeleceng.2024.109485
Arulogun, O. T., Olatunbosun, A., Fakolujo, O. A., & Olaniyi, O. M. (2013). RFID-based students attendance management system. International Journal of Scientific & Engineering Research, 4(2).
Awotunde, J.B., Sur, S.N., Aderinto, M.T., Gaber, T. (2023). RFID-Based Student Identification Card Attendance Monitoring System. In: Dhar, S., Do, DT., Sur, S.N., Liu, CM. (eds) Advances in Communication, Devices and Networking. ICCDN 2022. Lecture Notes in Electrical Engineering, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-99-1983-3_4
Baig, S., Geetadhari, K., Noor, M. A., & Sonkar, A. (2022). Face recognition based attendance management system by using machine learning. International Journal of Multidisciplinary Research and Growth Evaluation, 3(3), 1–4.
BARS Philippines. (n.d.). BARS – Barangay automated records solutions. https://www.bars.com.ph/
Basaligheh, P., & Kothawade, S. (2025). Biometric authentication systems: Advances in security and usability. International Journal of Recent Advances in Engineering and Technology, 13(1), 16–19.
Besio, C., & Tacke, V. (2024). Old and new organizational forms in a complex society: A systems theoretical perspective. Current Sociology Monographs, 72(1), 143–161. https://doi.org/10.1177/08969205231189472
Biometrics Institute. (2019). Biometrics and privacy: Issues and challenges. https://ovic.vic.gov.au/privacy/resources-for-organisations/biometrics-and-privacy-issues-and-challenges/
Castillo, J., Aniag, J., Orbeso, M., & Evale, R. (2025). SDG-driven visitor management and monitoring system for BJMP Baliwag municipal: Enhancing security and efficiency in jail governance. Journal of Lifestyle and SDGs Review, 5(3), 1–14. https://doi.org/10.47172/2965-730X.SDGsReview.v5.n03.pe04722
Cieslik, M., Obrecht, A., Sarnowski, J., & Sieber, F. (2022). Digital technology and accountability. Centre for Humanitarian Action (CHA). https://www.chaberlin.org/en/publications/digital-technology-and-accountability
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Department of Justice. (2023, November 6). Justice sector coordinating council to hold national summit on jail decongestion. https://www.doj.gov.ph/news_article.html?newsid=dadJmMGnuhvDDDbvqSmmNdcLHunys9hEfIlF9XDGLj0
El-Abed, M., Giot, R., Hemery, B., & Rosenberger, C. (2010). A study of users’ acceptance and satisfaction of biometric systems. In 2010 44th Annual IEEE International Carnahan Conference on Security Technology (pp. 170–178). IEEE. https://doi.org/10.1109/CCST.2010.5678678
Fallahi, M., Ramesh, R., Ramasamy, P. P., Cabarcos, P. A., Strufe, T., & Terhörst, P. (2025). On the reliability of biometric datasets: How much test data ensures reliability? arXiv:2501.06504. https://doi.org/10.48550/arXiv.2501.06504
Francisco, A. E., Seraspi, A. L., Guialil, J., & Mata, K. (2025). An enhancement of the Eigenface algorithm using Weber local descriptor applied in attendance management system. International Student Research Review, 2(1). https://doi.org/10.53378/isrr.164
Frigillana, K. G., Jocson, J. C., Muldong, R. M. C., Natividad, L. O., & Tiongson, H. T. (2023). The effects of reimplementing a biometric attendance monitoring system in the electronics engineering department at Don Honorio Ventura State University. Everant Journal, 1(1), 58–69. https://everant.org/index.php/etj/article/view/1100
Gupta, D. (2024). Biometrics: Enhancing security in organizations. IBM Center for The Business of Government. https://www.businessofgovernment.org/sites/default/files/GuptaReport.pdf
Jain, A. K., Ross, A. A., & Flynn, P. J. (2022). Handbook of biometrics. Springer. https://content.e-bookshelf.de/media/reading/L-1927-957d45a798.pdf
Jain, A. K., Ross, A., & Nandakumar, K. (2023). Introduction to biometrics (2nd ed.). Springer. https://doi.org/10.1007/978-3-031-10911-2
M2SYS Technology. (n.d.). Biometric case studies: U.S. jails and correctional facilities. https://www.m2sys.com/case-studies/
Meiramkhanov, T., & Tleubayeva, A. (2024). Enhancing fingerprint recognition systems: Comparative analysis of biometric authentication algorithms and techniques for improved accuracy and reliability. arXiv. https://doi.org/10.48550/arXiv.2412.14404
Murthy, M. N., & Katyal, M. (2024). The role of change management in large-scale technology adoption. International Journal of Research Publication and Reviews, 5(12), 5934–5942. https://doi.org/10.55248/gengpi.5.1224.0251
Perez, L. P., Palle, R. V., & Adornado, V. V. (2022). The performance of biometric attendance system (BAS): CTU-Tuburan Campus as case study. International Journal of Scientific and Research Publications (IJSRP), 12(7). http://dx.doi.org/10.29322/IJSRP.12.07.2022.p12748
Privacy International. (2020). Responsible use and sharing of biometric data in counter-terrorism. https://privacyinternational.org/sites/default/files/2020-07/Responsible%20use%20and%20sharing%20of%20biometric%20data%20in%20counter-terrorism.pdf
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Siddiqui, M. M., Valsalan, P., Shajanah, H. A., Baraami, M. S. A., & Baraami, H. S. A. (2024). IoT-based RFID attendance system. In 2024 International Conference on Signal Processing and Advance Research in Computing (SPARC) (pp. 1–5). IEEE. https://doi.org/10.1109/SPARC61891.2024.10829042
Venkatesh, V., & Bala, H. (2020). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Villaroman, G., San Pedro, A., Bacani, K., Clerigo, E., & Hipos, A. (2018). The use of biometric attendance recording system (BARS) and its impact on the work performance of Cabanatuan City government employees. Open Access Library Journal, 5, 1–10. https://doi.org/10.4236/oalib.1104273
Weick, K. E., Sutcliffe, K. M., & Obstfeld, D. (1999). Organizing for high reliability: Processes of collective mindfulness. In R. I. Sutton & B. M. Staw (Eds.), Research in organizational behavior (Vol. 21, pp. 81–123). Elsevier Science/JAI Press.
Yang, W., Wang, S., Hu, J., Zheng, G., & Valli, C. (2019). Security and Accuracy of Fingerprint-Based Biometrics: A Review. Symmetry, 11(2), 141. https://doi.org/10.3390/sym11020141
Yu, Y., Niu, Q., Li, X., Xue, J., Liu, W., & Lin, D. (2023). A review of fingerprint sensors: Mechanism, characteristics, and applications. Micromachines, 14(6), 1253. https://doi.org/10.3390/mi14061253
Zakaria, Z. (2025). Face recognition technology: Benefits, applications, and challenges in the modern era. International Journal of Scientific Research and Management, 13(03), 2096–2102.
Cite this article:
Limyoco, L.O. (2025). Enhancing efficiency and security: A study of automated visitors monitoring system in the Bureau of Jail Management and Penology. International Journal of Science, Technology, Engineering and Mathematics, 5(4), 44-63. https://doi.org/10.53378/ijstem.353275
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