GANGANAN: A PROGRESSIVE WEB APPLICATION FOR SKILLED WORKERS IN PANGASINAN

Abstract

Ganganan represents a Progressive Web Application (PWA) designed to connect skilled workers with employers in Pangasinan, specifically in the locality of Lingayen. This study seeks to identify the current processes and challenges skilled workers face during their job search for positions commensurate with their skills, devise an innovative feature to address these issues, and evaluate the developed system's acceptability.

The Ganganan study employed a mixed-method approach combining qualitative and quantitative data collection methods. This integration addressed shortcomings, determined results, and improved the quality of the data gathered. The proposed system was developed using the Extreme Programming (XP) software model, which emphasizes continuous feedback, iterative development, and frequent releases. Furthermore, the researchers conducted surveys, interviews, library and online research, and usability testing to assess user satisfaction, system efficiency, reliability, and performance.

The findings indicate that the Ganganan system has surpassed the high expectations of its customers regarding accessibility, adaptability, and functionality. Moreover, Ganganan has successfully achieved its objectives, which include a user-friendly interface, rapid response times, and an accurate job-matching algorithm. Furthermore, although the current implementation of Ganganan is limited to Lingayen and specific skill sets, its scalability presents significant advantages for expanding its reach to larger areas and a broader range of skills. Ultimately, this expansion will enhance job accessibility within the region while maximizing its beneficial impact on the local job market.