<![CDATA[This study analyzes the productivity level of the dodol production division in the traditional food industry, which experienced a production target discrepancy between September 2024 and January 2025. This study aims to measure productivity, identify the main contributing factors, and formulate a comprehensive improvement plan. The methods used include the Objective Matrix (OMAX) for productivity measurement with Analytical Hierarchy Process (AHP) weighting, Traffic Light System (TLS) visualization, and root cause identification through Fault Tree Analysis (FTA). The analysis results show an average productivity index of 502, with labor identified as the dominant factor causing low productivity. Further FTA analysis revealed a lack of work supervision as the main root cause with a probability of 0.27, followed by unproductive working hours and procedural errors. Based on these findings, it is proposed to plan productivity improvements based on the 5W+1H framework, which focuses on increasing direct supervision by those responsible through the development and implementation of Standard Operating Procedures (SOPs). This is expected to ensure compliance with standards, minimize errors, and improve product efficiency and quality on an ongoing basis.]]>
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