Abstract

The selection of structural officials within higher education institutions is a strategic process that demands an objective, transparent, and data-oriented approach. As the number of candidates increases and evaluation criteria become more diverse, such as work experience, rank, education, age, and performance, the complexity of decision-making also rises. To address these challenges, this research introduces an integrated approach that combines Skyline Query and the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to support multi-criteria decision-making. Skyline Query is employed as a preselection mechanism to filter out dominated candidates, ensuring that only the most competitive individuals are evaluated further. The TOPSIS method is then applied to rank the selected candidates based on their relative closeness to both the ideal and anti-ideal solutions. The results demonstrate that the integrated Skyline and TOPSIS method enhances evaluation efficiency while maintaining reliable and logical ranking outcomes. These findings affirm the suitability of the hybrid model as a practical and effective tool for selecting structural officials, especially in the context of Universitas Mataram. Out of 228 eligible candidates, 67 non-dominated alternatives were identified through Skyline Query. The final ranking results showed a $\mathbf{9 0 \%}$ consistency with actual appointments, indicating that the proposed hybrid approach is both practical and reliable.

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