<![CDATA[Employees were a strategic asset for PT Purnama Laboratory, yet the company's best-employee selection process was still carried out manually, was subjective, and lacked clearly defined criteria and weighting, which made it time-consuming and error-prone. This study aimed to design and build a web-based Decision Support System (DSS) for selecting the best employee that produced objective, fast, and transparent decisions. The system was developed using the Rapid Application Development (RAD) model and was implemented with PHP, the CodeIgniter 3 framework, and a MySQL database, applying the Simple Multi Attribute Rating Technique (SMART) method to weight four assessment criteria: attendance, performance, length of service, and violations. Testing on eleven employee alternatives showed that the system automatically produced an objective ranking, with Muhammad Rizky obtaining the highest final score of 0.8000. Beta testing using a Likert-scale questionnaire resulted in a feasibility percentage of 82%, categorized as highly feasible. These findings proved that integrating SMART into a computerized DSS effectively overcame the weaknesses of manual assessment and supported faster, more accurate, and more transparent managerial decision-making.]]>
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