ISSN : 2663-2187

Alumni Network Platform Leveraging Regression Models for Data Analysis

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Abstract

In today's dynamic higher education landscape, institutions strive for innovative strategies to enhance their strategic goals. This study focuses on developing and implementing a web-based alumni portal for the University of Antique Tario – Lim Memorial Campus (UA - TLMC). Drawing from community engagement and alumni relations theories, the research contextualizes the portal within UA-TLMC's history and strategic framework, highlighting its dual role as a technological innovation and a means for institutional advancement. Through descriptive developmental research involving 300 diverse respondents, including students, faculty, alumni, and novice users, usability and satisfaction levels are assessed. Regression analysis identifies key predictors of user satisfaction, such as ease of navigation, clarity of information, and mobile accessibility. Recommendations are provided to optimize the portal's functionality, enhance user experience, and promote greater engagement. By aligning these strategies with the institution's mission and values, the portal becomes a vital conduit for achieving broader institutional objectives. The study underscores the necessity for institutions to adapt to modern communication channels and streamline alumni engagement efforts, overcoming traditional challenges like geographic dispersion and inefficient data management. Through a comprehensive alumni management system, leveraging technology and streamlined processes, the portal facilitates alumni connection, collaboration, and lifelong learning. Integration of data analytics offers insights into alumni trends, enabling tailored engagement strategies. Ultimately, the alumni portal bridges the university-alumni gap, reaffirming the institution's commitment to lifelong relationships and continuous growth within the alumni community.

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