Fire Incident Reporting and Alert Level Notification System Using Proximity Search Algorithm
Year: 2026
Type: article
Abstract: Fire incidents remain a critical public safety concern in the Philippines, where the Bureau of Fire Protection (BFP) recorded 14,894 fire incidents and an estimated ₱5.71 billion in damages during the first semester of 2024, with Region 6 registering the highest incidence at 2,630 cases. Despite existing standard operating procedures, current BFP reporting mechanisms rely heavily on manual data entry and lack real-time tracking, route optimization, and automated alert notification capabilities. This study aimed to develop and evaluate a Real-Time Fire Incident Reporting and Alert Level Notification System using a Proximity Search Algorithm for the Bureau of Fire Protection, Roxas City, Capiz. The system was developed using an Agile Software Development Life Cycle (SDLC) methodology, integrating a SvelteKit web application for fire officer incident management, a Flutter mobile application for citizen-initiated geo-tagged reporting, MongoDB for real-time data persistence, Google Maps Application Programming Interface (API) for geospatial visualization and proximity-based route optimization, and Server-Sent Events (SSE) for real-time data synchronization. The system automates the complete incident lifecycle from citizen reporting to resolution and implements automated severity-based alert dissemination aligned with BFP's 12-level fire alarm classification. Evaluation by five Information Technology (IT) Experts and five Domain Experts using the ISO/IEC 25010 software quality model yielded an overall mean of 4.53 interpreted as Excellent, with Security (4.64), Portability (4.63), and Usability (4.58) receiving the highest ratings. The results confirm the system's compliance with international software quality standards, demonstrating its viability as a technology-driven solution for enhancing fire emergency response efficiency, reducing incident response times, and improving situational awareness among fire service personnel.
Authors: Gersaniva, Mark Jun, Lumauag, Ramil
Institution: Iloilo Science and Technology University
Language: English
Topic: Safety and Risk Management
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7220284356