<![CDATA[This study is motivated by the implementation of the Outcome-Based Education (OBE) curriculum in the Information Systems Study Program at the University of Bengkulu, which still faces operational challenges due to managing Graduate Learning Outcomes (PLO) and Course Learning Outcomes (CLO) through manual spreadsheet-based tracking. This localized workflow is prone to entry errors, lacks collaborative environments, and fails to systematically trace high-level structural insights from raw continuous academic marks. This research aims to design and develop a web-based automated evaluation ecosystem called Acapela that provides centralized tracking of PLO-CLO matrices, incorporates interactive diagram visualization components, and deploys a predictive analytics feature using a rule-based inference mechanism. The development uses a modified Research and Development (R&D) strategy incorporating qualitative methods via deep institutional observation and stakeholder interviews alongside quantitative validation using systematic User Acceptance Testing (UAT) evaluated via five-point Likert scales. The empirical testing demonstrates that the Acapela platform effectively manages centralized configurations, executes automated curriculum-linked score aggregations, maps multidimensional outputs via radar charts, and successfully resolves multi-criteria decision steps to yield student profile predictions classified into five granular performance bands. Software correctness was fully verified through automated black-box scenarios, while field utility metrics achieved an overall viability rate of 87.05% from operational user groups, denoting high feasibility for strategic deployment. Keywords: Academic analytics; Automated evaluation; Information systems curriculum; Outcome-Based Education; Web-based application.]]>
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