Mustofa Bakery is one of the businesses in Sukoharjo that operates in the food sector. The purpose of this study is to analyze product quality control using the Statistical Quality Control (SQC) method to reduce the number of damaged products and analyze the factors that cause product damage at Mustofa Bakery. The type of data used in this study is quantitative data. The data source used in this study is secondary data. Data collection methods by interview and observation. The data analysis technique used in this study uses the Statistical Quality Control (SQC) method. Based on the results of the research that has been done, it can be concluded that in March, April, and October it still exceeds the standard limit of production damage that has been set by Mustofa Bakery in Sukoharjo by 2%. The application of quality control with SQC can reduce the number of damaged products at Mustofa Bakery in Sukoharjo, proven to be true. The results of the Pareto Diagram of the types of damage that often occur are damage due to burning, 1,719 breads or 35.25%, damage due to inappropriate shape, namely 1,607 breads or 32.96%, and damage due to inappropriate texture as much as 1,550 breads or 31.79%. The results of the cause-and-effect diagram (fishbone) of the factors of product damage that occurred at Mustofa Bakery in Sukoharjo occurred due to machines, humans, methods, and raw materials.

MSMEs are productive economic businesses run by individuals or small business entities to grow and develop their businesses in order to build the economy, so that MSMEs become the most important pillars in the Indonesian economy. The large number of competitors in the business world requires entrepreneurs to find strategies that can increase the sales cycle and fulfill the number of requests. Solusi Cash & Kredit is a company engaged in cash and credit sales of smartphones, furniture, and electronics. According to the owner of Solusi Cash & Kredit, Vivo smartphones are one of the best-selling brands on the market. The phenomenon that occurred in the company during August 2023 to June 2024 was the occurrence of fluctuations or instability in product sales levels. The purpose of this study was to determine the results of the comparison of sales forecasting with the Exponential Smoothingi and Least Square methods. The results obtained were that the exponential smoothing alpha 0.3 method had a MAPE value of 18.27% with a forecast value for the next period of 34 units per month. Alpha 0.5 had a MAPE value of 14.74% with a forecast value for the next period of 36 units per month. Alpha 0.7 had a MAPE value of 12.64% with a forecast value for the next period of 36 units per month. Alpha 0.9 had a MAPE value of 11.7% with a forecast value for the next period of 37 units per month. The least square method had a MAPE value of 7.2% with a forecast value for the next period of 41 units per month.