<![CDATA[Employee performance assessment plays an important role in improving organizational productivity and supporting decision-making processes. However, the evaluation process at UPPKH Pamekasan Regency is still conducted manually, which often leads to subjectivity, inconsistency, and inefficiency. This study aims to develop a Decision Support System (DSS) for employee performance assessment using the combination of Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The AHP method is used to determine the weight of nine evaluation criteria through pairwise comparison, while the SAW method is applied to rank 20 PKH facilitators based on their performance scores. The system is implemented as a web-based application using the Laravel framework and MySQL database. The results show that the system is able to produce objective and structured rankings, where the highest preference value is obtained by alternative K4 with a score of 0.922. Furthermore, the accuracy of the method is evaluated using the Spearman Rank Correlation test, resulting in a coefficient of 0.97143, which indicates a very strong correlation between the system-generated rankings and the manual rankings from UPPKH. In addition, black box testing confirms that all system functionalities operate correctly. Therefore, the proposed system is effective in reducing subjectivity, improving efficiency, and supporting accurate decision-making in employee performance evaluation.]]>
Copyrights © 2026
