<![CDATA[The management of alumni data and low alumni participation constitute significant obstacles to curriculum evaluation and the fulfillment of IAPS 4.0 accreditation criteria. The proposed solution is the implementation of a Web-Based E-Tracer Study Application designed using the Model–View–Controller (MVC) architecture and supported by a database to integrate and manage data in a centralized manner. The database plays a crucial role as it enables data processing using Data Mining techniques (such as the Apriori algorithm or hash-based methods) to discover strategic association patterns between graduate competencies and job performance. The implementation of this system is able to significantly increase alumni participation rates (reaching over 90% compared to 20% using manual methods). However, sustainable success requires addressing non-technical challenges, such as low emotional attachment among alumni, through integrated solutions including automated reminder features and enhanced data security (multi-level authentication and encryption). Overall, database integration has proven effective in transforming graduate data into objective and strategic feedback to improve educational quality and alumni competitiveness.]]>
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