<![CDATA[University academic information systems face increasing digital demands, but maintenance strategies often lack systematic prioritization, leading to inefficient resource allocation and neglect of critical features. This study aims to develop a structured framework to prioritize maintenance of academic system features at ISB Atma Luhur, ensuring optimal resource distribution and system reliability. A quantitative study using the Analytic Hierarchy Process (AHP) was conducted in four phases: (1) inventorying 237 features across eight academic units and defining eight evaluation criteria through expert consultation; (2) applying AHP with 11 domain experts using Expert Choice software for criteria weighting and consistency validation (CR < 0.10); (3) calculating priority scores with PSₖ = Σ(wᵢ × sₖᵢ); and (4) designing a 24-month action plan with different resource allocations. The analysis identified two high-priority systems (BAAK: 9.14, SIAD: 8.12), three medium-priority systems (Finance: 6.85, Student Affairs: 6.79, Final Project: 6.23), and three low-priority systems (PMB: 5.18, Library: 4.12, General: 3.25). Preservation of Academic Values is the most important criterion (weight: 0.258). The recommended allocation is 60% for high-priority systems, 30% for medium-priority systems, and 10% for low-priority systems. The AHP-based framework successfully achieved its objectives, providing a data-driven tool for maintenance management. Future studies should explore integration with predictive analytics to proactively improve system reliability]]>
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