The Public Employment Service Office (PESO) plays a often underdeveloped [3]. vital role in facilitating employment opportunities; however, many local offices continue to face challenges related to limited system In Calinog, employment services faced operational limitations such accessibility, manual processing, and inefficient job matching. as restricted system accessibility, the need for in - person data encoding This study aimed to develop JobConnect , a localized online job despite online registration, and insufficient tools for monitoring job portal with integrated data analytics designed to improve demand and wage trends. These constraints hin dered the ability of PESO employment services in Calinog. To create a responsive and user - staff to efficiently match job seekers with available opportunities and to friendly platform accessible via desktop and mobile devices the generate insights that could guide workforce planning. National agencies researcher u tilized web - based technologies (PHP, MySQL, such as the Department of Labor and Employment (DOLE) have JavaScript, and Bootstrap) . Key features included an applicant – emphasized the need for improved employment facilitation mechanisms job recommender system based on skills matching, real - time job that leverage technology to respond to dynamic labor market demands posting and application management, and an analytics dashboard [2], [6]. that monitored employment trends by age, gender, and job type. System quality was evaluated u sing the ISO/IEC 25010 software To address these challenges, this study proposed the development of quality framework, assessing functionality, usability, reliability, JobConnect, a localized online job portal integrated with data analytics to performance efficiency, security, and portability. support more efficient employment matching and labor market monitoring. The system was designed to provide a user - friendly digital