Performance Optimization of Mobile Automated Biometric Identification System (MABIS) for Philippine Law Enforcement Agency
William Penaflor Rey · 2024
As technology advances, numerous businesses and institutions adopt the web application format. As the user base grows, concurrent visits increase, often leading to a subpar web application user experience. This study aims to investigate the performance factors affecting the MABIS web application system at various stages to optimize the web app's architecture, ensuring excellent accessibility, synchronization, scalability, and cost-efficiency. The optimization process for MABIS was guided by factors influencing the web system's performance, resulting in adjustments to align it more closely with system requirements. This research paper delves into the parameters for testing MABIS performance, the methods employed for performance testing, and strategies for performance enhancement. Building on this foundation, the study elaborates on optimization strategies from multiple perspectives, encompassing the backend, data storage, and gateway access, all within the context of a high-concurrency web application. The validated results demonstrate a notable improvement in system performance, increasing from 60% to 99%, while system structures improved by 5%, rising from 93% to 98%, ultimately earning an overall rating of "A" compared to the initial "C." This performance optimization process takes into account factors like load speed, response time, interactivity, responsiveness, and visual stability, leading to significantly enhanced results.