Higher education institutions continuously seek innovative approaches to track and assess alumni employability to improve academic programs and career support services. This study explores the use of predictive analytics in higher education, specifically employing the Autoregressive Integrated Moving Average (ARIMA) model to forecast alumni employability trends at Pamantasan ng Lungsod ng Pasig (PLP). This research aims to enhance the alumni tracking by integrating predictive analytics into an online-based Alumni Tracking System, which streamlines data collection and provides valuable insights into employment trends. The proposed system is a web-based portal designed to optimize the tracking of college graduates of Pamantasan ng Lungsod ng Pasig that improve data management, and strengthen the connection between the institution and the alumni. Through this platform, the alumni can able to update their employment status, participate in institutional activities, and communicate with the university. Additionally, faculty and administrators can efficiently monitor alumni progress, analyze patter of the employment and can utilize data-driven decision-making enhancing curriculum development and support career programs. This study provides a data-driven approach to predict trends of employment, enabling the institution to anticipate industry demands and refine educational strategies accordingly by integrating ARIMA-based forecasting within the system. The automated feature of the system minimizes the burden on alumni while ensuring real-time, accurate data collection. The study’s findings highlight the potential of predictive analytics in alumni tracking, demonstrating how data-driven insights can contribute to institutional growth and graduate success.
