<![CDATA[A computer laboratory is a key facility supporting learning activities in Vocational High Schools (SMK). High usage intensity increases the risk of equipment damage. A common issue is that the processes of inspection and prioritizing maintenance are still performed manually, which is time-consuming and potentially disrupts the learning process. This study aims to implement the Simple Additive Weighting (SAW) method within a Decision Support System (DSS) to determine maintenance priorities for computer laboratory inventory. The study employs the Research and Development (R&D) method using the Prototype model. The criteria used include the year of purchase, usage intensity, maintenance history, and equipment brand. The results indicate that the SAW method can generate objective inventory maintenance priority recommendations and assist the school in decision-making. Testing results show a system feasibility rating of 100% by experts and a user acceptance rate of 92.2%, confirming that the system is highly suitable for use as a decision support tool for computer laboratory inventory management.]]>
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