Incident victim identification system for Municipal Disaster Risk Reduction and Management Office (MDRRMO) Sablayan

Authors

  • Cherry Donna M. Clarito College of Arts, Sciences, and Technology-Sablayan Campus, Occidental Mindoro State College Author
  • Kelsey M. Jorna College of Arts, Sciences, and Technology-Sablayan Campus, Occidental Mindoro State College Author
  • Annabelle S. Rosete College of Arts, Sciences, and Technology-Sablayan Campus, Occidental Mindoro State College Author
  • Celia G. Rebaldo College of Arts, Sciences, and Technology-Sablayan Campus, Occidental Mindoro State College Author
  • Prince Joseph D. Fernandez College of Arts, Sciences, and Technology-Sablayan Campus, Occidental Mindoro State College Author
  • Dave M. Dela Cruz College of Arts, Sciences, and Technology-Sablayan Campus, Occidental Mindoro State College Author
  • Ejay Bryan C. Villegas College of Arts, Sciences, and Technology-Sablayan Campus, Occidental Mindoro State College Author
  • Edgar C. Mamalayan College of Arts, Sciences, and Technology-Sablayan Campus, Occidental Mindoro State College Author

Keywords:

victim identification, fingerprint biometrics, biometric identification, scanning

Abstract

The Incident Victim Identification System (IVIS) for the Municipal Disaster Risk Reduction and Management Office (MDRRMO) Sablayan is a developmental capstone study designed to enhance victim identification efficiency during emergencies. It addresses shortcomings of manual and visual methods, which are error-prone in mass casualty scenarios where victims might be unconscious. IVIS provides a secure, technology-driven platform for precise, rapid, and coordinated disaster response using biometric fingerprint identification. This web-based system features secure user management, role-based access, biometric enrollment and comparison, SMS alert integration, and a centralized dashboard for real-time incident tracking. Authorized users—encoders, responders, and administrators—can enroll residents, compare fingerprints against encrypted templates, and generate official incident reports. It also automates alerts to emergency contacts and produces printable PDF victim summaries. Crucially, IVIS ensures ethical and legal compliance, adhering to the Philippine Data Privacy Act of 2012 by using minutiae-based fingerprint templates instead of raw images. For implementation, IVIS leveraged ASP.NET for the frontend, Laravel for server-side processing, MySQL Server for the database, and SourceAFIS for fingerprint verification. XML was used for structured data exchange, and an integrated SMS API facilitated alert functions. Performance testing on a Windows 11 device indicated average response times of 0.8 to 2.0 seconds, maintaining steady performance under five simultaneous users. Security and scalability tests confirmed the system's stability and data protection capabilities. Evaluations, based on ISO/IEC 25010 Software Quality Standards, involved 60 respondents from the community, MDRRMO, and IT sectors. The system achieved an excellent overall rating of 4.74, with high scores in technology utilization (4.93) and creativity (4.84). These findings validate IVIS's capacity to facilitate quicker, more secure, and efficient victim identification during emergencies in Sablayan.

References

Anwyl-Irvine, A., Dalmaijer, E. S., Hodges, N., & Evershed, J. K. (2020). Realistic precision and accuracy of online experiment platforms, web browsers, and devices. Behavior Research Methods, 53(4), 1407–1425. https://doi.org/10.3758/s13428-020-01501-5

Ardabili, B. R., Pazho, A. D., Noghre, G. A., Neff, C., Ravindran, A., & Tabkhi, H. (2022). Understanding ethics, privacy, and regulations in smart video surveillance for public safety. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2212.12936

Beyene, T. A., & Ruess, H. (2018). Evidential and continuous integration of software verification tools. In Lecture notes in computer science (pp. 679–685). https://doi.org/10.1007/978-3-319-95582-7_45

Bridgeman, B., Lennon, M. L., & Jackenthal, A. (2003). Effects of screen size, screen resolution, and display rate on Computer-Based Test performance. Applied Measurement in Education, 16(3), 191–205. https://doi.org/10.1207/s15324818ame1603_2

Campisi, P. (2013). Security and privacy in biometrics. In Springer eBooks. https://doi.org/10.1007/978-1-4471-5230-9

Cavoukian, A., Chibba, M., & Stoianov, A. (2012). Advances in Biometric Encryption: Taking Privacy by Design from Academic Research to Deployment. Review of Policy Research, 29(1), 37–61. https://doi.org/10.1111/j.1541-1338.2011.00537.x

Chiu, Y. (2024). Automated medication verification system (AMVS): System based on edge detection and CNN classification drug on embedded systems. Heliyon, 10(9), e30486. https://doi.org/10.1016/j.heliyon.2024.e30486

Cruz, L. a. D., Balilia, C. J., Abana, E., Pagulayan, L., Mebaña, J., Datul, D. J., & Acoba, J. A. (2023). Enhanced Barangay Information Management System with residency certificate issuance. 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE), 1–7. https://doi.org/10.1109/icraie59459.2023.10468134

De Crescenzio, F., Fantini, M., Persiani, F., Di Stefano, L., Azzari, P., & Salti, S. (2010). Augmented reality for aircraft maintenance training and operations support. IEEE Computer Graphics and Applications, 31(1), 96–101. https://doi.org/10.1109/mcg.2011.4

Fanca, A., Puscasiu, A., Folea, S., & Valean, H. (2018). Trauma accident detecting and reporting system. 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 1–5. https://doi.org/10.1109/aqtr.2018.8402718

Goh, J. E. E., Goh, M. L. I., & Baccay, M. A. (2019). Community-Based Disaster Risk Reduction and Management Information System in the Philippines. International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, 2019, Pp. 581-586, 581–586. https://doi.org/10.1109/iccike47802.2019.9004391

Haas, O., Hutzler, M., Egginger, T. H., Maier, A., & Rothgang, E. (2021). Automating Time-Consuming and Error-Prone manual nursing management documentation processes. CIN Computers Informatics Nursing, 39(10), 584–591. https://doi.org/10.1097/cin.0000000000000790

Nabil, D., Mosad, A., & Hefny, H. A. (2011). Web-Based Applications quality factors: A survey and a proposed conceptual model. Egyptian Informatics Journal, 12(3), 211–217. https://doi.org/10.1016/j.eij.2011.09.003

Philippine Council for Health Research and Development. (2022). Lessons from Yolanda: 4 ways to improve the retrieval and identification of bodies in disasters - Philippine Council for Health Research and Development. https://www.pchrd.dost.gov.ph/news_and_updates/lessons-from-yolanda-4-ways-to-improve-the-retrieval-and-identification-of-bodies-in-disasters/#:~:text=A%20system%20for%20death%20investigation,DNA%20identifications%20of%20the%20victims.

Putra, A. F., Saputra, N. W. I., & Rilvani, N. E. (2025). Performance optimization on Multi-Core processors and Windows 11 kernel management. Expert Net., 1(2), 57–60. https://doi.org/10.59923/expertnet.v1i2.301

Rahman, M. A., Jim, M. M. I., Uzzaman, A., & Hasan, M. M. (2024). ADDRESSING PRIVACY AND ETHICAL CONSIDERATIONS IN HEALTH INFORMATION MANAGEMENT SYSTEMS (IMS). Deleted Journal, 1(2), 1–13. https://doi.org/10.62304/ijhm.v1i2.127

Rahman, S., Rahman, M., & Rahman, M. M. (2018). Automated Student Attendance System using Fingerprint Recognition. Edelweiss Applied Science and Technology, 90–94. https://doi.org/10.33805/2576.8484.120

Rey, W. (2024). Exploring Usability and User Experience in WeBarangay: A SUS and UEQ analysis. IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/document/10807936

Rosen, H. E., Bari, I., Paichadze, N., Peden, M., Khayesi, M., Monclús, J., & Hyder, A. A. (2022). Global road safety 2010–18: An analysis of Global Status Reports. Injury. https://doi.org/10.1016/j.injury.2022.07.030

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Published

2025-07-11

How to Cite

Clarito, C. D. ., Jorna, K., Rosete, A., Rebaldo, C. ., Fernandez, P. J., Dela Cruz, D., Villegas, E. B., & Mamalayan, E. (2025). Incident victim identification system for Municipal Disaster Risk Reduction and Management Office (MDRRMO) Sablayan. Aka Student Research Journal, 4(1), 141-154. https://journal.omsc.edu.ph/index.php/aka-journal/article/view/99