<![CDATA[Manual employee performance assessment is often subjective, potentially leading to dissatisfaction and errors in decision-making. This study aims to develop a decision support system (DSS) model for selecting the best employee at PT Karya Mandiri Sejahtera by applying the Simple Additive Weighting (SAW) method. The SAW method involves a structured calculation process—specifically, the normalization of the decision matrix based on benefit and cost attributes, followed by a ranking process using a weighted linear combination. The study evaluates five employee alternatives based on four criteria: discipline, work quality, responsibility, and the number of late arrivals. Test results demonstrate that the SAW method consistently produces alternative rankings that are mathematically sound. The alternative with the highest preference value (V) is designated as the best employee. This research confirms that implementing the SAW algorithm can enhance the objectivity and efficiency of the decision-making process within the organization.]]>
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