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Reducing product quality is one of the main challenges in the Tofu processing industry, especially in the Sumedang Bumi Armasta Tofu business which is small to medium-scale. The processing, which still maintains the traditional method without the help of technology, has been carried out for many years, but the processing that is still traditional has turned out to cause a dependence on expert employees which if not present will have a direct impact on the quality and quality of the Tofu products produced and the skills of new employees are not optimal in replacing the role of expert employees if they are unable to attend. This study aims to analyze employee development strategies in improving the quality of tofu products using the Fishbone (cause-and-effect) approach. The research method used is qualitative descriptive with data collection techniques through observation and interviews. The results of the analysis show that Human factors (HR) are the main cause of the decline in the quality and quality of Tofu products in Sumedang Tofu SMEs which can be seen from changes in texture, aroma, appearance, and size that are not suitable. Therefore, employee development strategies need to be carried out such as job training, assistance for new employees, and standardization of SOPs that are considered effective in improving the quality of Tofu products to remain consistent.

Osha Snack UMKM faces issues related to product defects, which are suspected to arise due to a lack of quality control in the production process. This study aims to identify the causes of product defects, provide improvement suggestions, and determine effective ways to control product quality. Data were collected through interviews with relevant parties and field surveys to gather information on production volume, product defects, and production activities. The data were processed by organizing it into check sheets, performing regression calculations, and analyzing it using scatter diagrams and fishbone analysis. The Statistical Process Control (SPC) method was applied to analyze, control, and improve the production process. The results show a significant relationship between production volume and the number of defective products, with the regression equation Y = 0.0764X and a coefficient of determination R² = 0.9625. The most common type of defect is broken snacks before packaging. In addition, waste products also come from product returns by buyers, which leads to raw material waste and hinders the achievement of production targets. The analysis results suggest that the UMKM should implement quality control measures in the form of process improvements, enhancement of work skills, proper machine maintenance, implementation of SOPs, and improvement of working conditions.

This study was conducted to evaluate the quality of banana chips products at My Kripis by using the Check Sheet and Fishbone Diagram methods. The main problem found was the high rate of defective products, which reached 3.79% of the total monthly production. The largest type of defect was recorded as inappropriate banana ripeness during the frying process, which amounted to 18 kg out of a total of 37.2 kg of defective products. Data was collected through direct observation and interviews, then analyzed using an inspection sheet to identify the type and frequency of defects. Results showed that the dominant cause of defective products came from raw material factors, such as non-uniform banana ripeness and inconsistent slice thickness. A Fishbone Diagram was used to identify root causes from various aspects, including man, methods, machines, and materials. These findings served as the basis for recommendations to improve the production process, such as standardizing cutting procedures, training operators, and monitoring the quality of raw materials. This research confirms the importance of simple yet systematic quality control for MSMEs to sustainably improve product quality.

Every company is obliged to carry out efficiency strategies in every business process in order to continue to exist in today's increasingly fierce competition. This research aims to determine the magnitude of the OEE value and the dominant factors from the six big losses analysis which is used as a proposal for improvements to the cutting machine at PT ABC. The method used is Availability Ratio, Performance Ratio and Rate of Product Quality as basic elements of Overall Equipment Effectiveness and Six Big Losses and analyzed using a fishbone diagram. Calculation results for the period September 2023 to February 2024 obtained an OEE value of 82.58% with the largest contributor to losses being the idling and minor stoppages and Reduce Speed ​​factors. To overcome this, it is necessary to increase skills in identifying and repairing machines, implementing clear standard operating procedures, operator skills in conveying information about machine damage, as well as standard material for parts used by machines.