<![CDATA[The sewing process is one of the important stages in clothing production, but defects often occur that can reduce product quality and increase production costs. This study aims to develop a web-based sewing process defect analysis system that utilizes the Fishbone Diagram and Failure Mode and Effects Analysis (FMEA) methods. This system is designed to identify the most common types of defects, classify their causes, including human factors, machines, work methods, materials, and the environment using Fishbone Diagrams, and evaluate the risk level of each factor through FMEA. The analysis results show that human factors, such as operator skills and accuracy, as well as machine conditions, such as needles and components that are subject to wear and tear, are significant causes of defects. Through FMEA, the system provides a risk assessment so that repair priorities can be determined more objectively. The recommendations generated include operator training, periodic machine maintenance, and the implementation of standard operating procedures. The development of this web application contributes to providing a systematic, easily accessible defect analysis tool that can be applied in the garment industry to improve the quality of the sewing process.]]>
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