<![CDATA[Quality Control is an essential process to ensure that tactical vehicles meet the required quality standards. However, at PT Sentra Surya Ekajaya, the Quality Control decision-making process still faces challenges due to the absence of standardized assessment criteria. As a result, the determination of pass or fail status still depends on the inspectors' judgment, leading to inconsistent inspection results. This study aims to design and develop a web-based expert system using the Forward Chaining method to support the Quality Control decision-making process, manage inspection data, and determine the pass or fail status of each vehicle part in a more objective and consistent manner. The research employed a qualitative approach with the Waterfall system development model. Data were collected through observation and interviews. The expert system applies forward chaining to infer conclusions based on the symptoms or conditions of vehicle parts identified during the inspection process. The results indicate that the developed system successfully implements inspection rules based on the expert's knowledge base, facilitates computerized management of inspection data, and produces Quality Control decisions that are more objective, consistent, and digitally documented. Therefore, the proposed system is expected to improve the effectiveness of Quality Control at PT Sentra Surya Ekajaya.]]>
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