International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

AidTrack: An Intelligent Relief Distribution and Tracking System for Disaster Response Management

Author(s) Mr. Aldyne Antonio Ronquillo, Mr. Sean Austine Marcelo Simon, Mr. John Mark Intal Salas, Mr. Mark Anthony Duque Madalipay, Dr. Joey Miranda Suba
Country Philippines
Abstract This study presents the design, development, and evaluation of AidTrack, a web-based system designed to enhance disaster relief operations in Santo Tomas, Pampanga, where challenges such as inefficient manual processes, fragmented records, and duplication of aid distribution are commonly experienced. A mixed-methods approach was employed, where qualitative data were gathered through interviews and focus group discussions with barangay officials and MSWD personnel, while quantitative data were collected through post-test surveys using the System Usability Scale (SUS) and Technology Acceptance Model (TAM). The system was developed using the Agile Scrum methodology, allowing iterative refinement based on continuous stakeholder feedback and evolving operational requirements. AidTrack integrates key functionalities such as beneficiary verification through QR codes, real-time inventory monitoring with automated alerts, relief distribution scheduling, eligibility checking, and AI-assisted support features for decision-making and user interaction. Evaluation results indicate that AidTrack is highly usable and well-accepted by users, with consistent positive feedback across usability and technology acceptance measures. The system demonstrates improvements in coordination, transparency, and operational efficiency in disaster relief processes. The integration of security mechanisms and AI-based tools further enhances data reliability, reduces redundancy in beneficiary identification, and supports timely decision-making during relief operations. Overall, AidTrack transforms traditional manual relief operations into a streamlined and data-driven system, offering local government units an efficient and scalable tool for managing disaster response activities in selected barangays of Santo Tomas, Pampanga.
Keywords Agile Scrum, AI-Assisted Prioritization, Barangay Operations, Disaster Management, Inventory Monitoring, QR Code Verification, System Usability
Field Computer > Data / Information
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-23
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.79207

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