<![CDATA[This study addresses the strategic challenges faced by private universities in Indonesia in selecting the most suitable IT project to support digital transformation, comparing a Next-Generation Learning Management System (LMS) and an Integrated University Mobile Super-App. Rather than developing a new method, this study enhances the conventional Analytical Hierarchy Process (AHP) by integrating sensitivity analysis and priority decomposition to improve decision explainability (Explainable MCDM). Expert assessments were collected from five academic stakeholders using pairwise comparisons based on Saaty's scale. Four criteria were assessed: Strategic Alignment, Benefits & Impact, Feasibility & Resources, and Risk Assessment. The results show a narrow preference for the LMS (50.7%) over the Super-App (49.3%), primarily driven by its superiority on the highest-weighted criterion, Strategic Alignment (35.6%), particularly the "Support for Core Educational Goals" sub-criterion. Sensitivity analysis reveals that the ranking would reverse if the Benefits & Impact weight increases from 0.200 to above 0.278. This study provides a transparent, replicable, explainable AHP framework that enables decision-makers to understand not only what is recommended but also why and under what conditions the recommendation changes.]]>
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