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This study aims to analyze the quality control of white crystal sugar production at ABC Sugar Factory using the Statistical Quality Control (SQC) method. The research employed a descriptive quantitative approach with a case study design. The primary data consisted of production volume and defective product data during the 2024 production period, while supporting data were obtained through observation and interviews with the Quality Control department. The analytical tools applied included check sheets, histograms, Pareto diagrams, p control charts, and fishbone diagrams. The results show that from a total production of 190,745.89 tons, defective products amounted to 66.70 tons, representing 0.33 percent of total output. The identified defects consisted of wet sugar at 45 percent, brownish sugar color at 30 percent, and oversized sugar crystals at 25 percent. Defective products occurred only during the first to third production periods, while no defects were observed from the fourth to seventh periods. The p chart analysis indicates that the production process was statistically out of control in the early periods but became stable and controlled in the subsequent periods. From a managerial perspective, these findings provide practical guidance for improving manufacturing quality through enhanced process control, equipment maintenance, and workforce capability development.

This study analyzes the quality control of lamb rendang products at CV. Mitra Tani Farm using three Statistical Quality Control (SQC) tools: the checksheet, Pareto diagram, and Fishbone diagram. The research was conducted to identify major product defects and their root causes in the canned lamb rendang production process. A descriptive quantitative method was applied through direct observation, interviews, and documentation. Data were collected using a checksheet to record defect types and frequencies, then analyzed with Pareto and Fishbone diagrams to determine dominant issues and underlying factors. The results showed that labeling errors were the most frequent defect, followed by inaccurate sterilization and machine overload. These problems were mainly caused by limited operator skills, non-standardized procedures, and inadequate machine performance. The findings indicate that improving operator training, refining standard procedures, and maintaining equipment are essential to enhance product quality and consistency.  

This study aims to analyze product quality at PT. XYZ, particularly focusing on Defects by Dimension, using the Statistical Quality Control (SQC) method. Defect data were collected over the period from April 2024 to March 2025 and analyzed using seven SQC tools, namely the check sheet, histogram, Pareto Chart, Scatter Diagram, and p-Chart. The results indicate that Defects do not always increase in proportion to production volume, and the most dominant types of Defects are Dimensional and Hole Distance, accounting for 73.4% of the total Defects based on the Pareto Chart. The Scatter Diagram shows an upward trend in Defects as production increases up to a certain point, after which the Defect rate decreases as production continues to rise. The p-Chart indicates that the production process remains within statistical control limits, although several samples approach or slightly exceed the upper control limit. Overall, the quality control process is fairly well maintained; however, greater attention is needed to address dominant Defect types and variations near control limits to prevent larger process deviations.

PT Sinar Semesta is a company engaged in the metal casting industry. In its production process, defects were still found during the period from March 2023 to February 2024. Out of a total production of 4,950 units, there were 1,004 defective units, consisting of 534 units with flow error defects and 470 units with porosity defects. To address this issue, quality control methods such as Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) are necessary to minimize product defects, improve quality, and maintain high standards. Based on the Pareto diagram, the most dominant defect percentages are flow error defects at 53.19% and porosity defects at 46.81%. The control chart shows points beyond the upper control limit (UCL) occurring in April with 148 units, May with 145 units, and October with 149 units, and below the lower control limit (LCL) occurring in August with 35 units, January with 36 units, and February with 32 units. Based on the fault tree analysis, five main factors causing defects were identified: human, machine, raw material, method, and environment. Proposed improvements include operator training, routine machine maintenance, accurate raw material measurement, use of high-quality raw materials, pre-pouring temperature checks, increased supervision, and environmental improvements.

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.

PT. XYZ is an international company operating in the energy sector, especially oil and gas, with a focus on fabrication and construction activities for large-scale projects. One of the main production processes that is very influential is welding. To ensure welding quality, PT. XYZ uses the Non-Destructive Testing – Ultrasonic Testing (NDT-UT) method. However, during the inspection process, problems are often found in the form of rejects due to defects that do not meet welding quality standards. Some types of defects detected include LOF (Lack of Fusion), LOP (Lack of Penetration), and ESI (Excessive Spatter Inclusion). This research aims to determine the percentage of the most dominant welding defects, identify factors that cause defects, and provide recommendations for improvements to improve welding quality. The method used is Statistical Quality Control (SQC) with the help of tools such as check sheets, histograms, Pareto diagrams, scatter diagrams, control charts and fishbone diagrams. Based on the data collected, a LOF defect of 5,434 mm was found, an ESI defect of 1,990 mm, and an LOP defect of 1,030 mm. SQC analysis shows that the dominant defect is LOF with a percentage of 64%. The main causal factors come from methods, humans, machines and materials. Therefore, companies need to make improvements and developments to reduce product defects so that they can improve welding quality.

Quality is an important factor for consumers in choosing a product, so maintaining or improving product quality is important for companies to compete and satisfy consumers. Small and Medium Enterprises (SMEs) face challenges in maintaining product quality and therefore require an effective quality control system, one example is Pak Sifa' Fried Tofu UKM in Jombang. By using primary data obtained through interviews and direct observation, Statistical Quality Control (SQC) methods such as check sheets, stratification, scatter diagrams, histograms, control charts, Pareto diagrams, and cause-and-effect diagrams are used for data analysis aimed at identifying types dominant defects in fried tofu products and their causes. The research found that the dominant defect in fried tofu production was split tofu defect with a defect rate of 52.921%. Factors that cause split tofu defects include human factors, methods, measurements, machines, materials and the environment. This research highlights the need for SMEs to prioritize quality improvement strategies, particularly addressing dominant defects and their root causes. Implementing SQC tools can help SMEs improve product quality and reduce defects.      

The problem faced by the Bmrsign Wallgallery company is that products are found that do not match the specifications set by the company. The types of product damage are wrong size frames, broken frames, and uneven corners. To solve this problem, the SQC method is used to reduce the causes of defects in the product. The purpose of this method is to reduce the risk of damage to the product. The object studied was Bmrsign Wallgallery with a sample of 29 days. The use of the SQC method is accompanied by analysis tools in the form of control charts (p-charts), Pareto diagrams, cause and effect diagrams (fishbone). Based on the results of data analysis implementing the Statistical Quality Control (SQC) method using the P-Chart control map, the largest value of the Upper Control Limit (UCL) can be shown as 0.272, while the Lower Control Limit (LCL) is -0.013. The results show that the number of defective products during the frame making process is still within normal control limits. The analysis using the Pareto diagram shows that the types of frame defects are dominated by broken with a percentage of 35% or a total of 66 pcs, inappropriate size shapes as much as 33% or a total of 62 pcs, and uneven corners as much as 32% or a total of 60 pcs. Based on the results of the fishbone diagram analysis, defective products are caused by workers who are not focused, work standards are not adhered to, machine maintenance is not given attention, and there is a decrease in the quality of raw materials.

MSMEs Gethuk Anyar is an industry operating in the culinary sector, the problem faced is the company's difficulty in maintaining the quality of the gethuk products it produces. This research aims to find out how quality control is implemented using statistical tools in an effort to control the quality and level of product damage at Gethuk Anyar MSMEs in Ngawi. Quality control analysis uses tools in the form of check sheets, cause and effect diagrams, Pareto diagrams and control charts. The results of the control chart analysis show that production is in an uncontrolled state. This can be seen from the control graph where the points fluctuate very highly and irregularly. Based on the Pareto diagram, priority repairs need to be made for the dominant types of damage, namely hard defects (59%), soft defects (27%), burnt defects (10%). From the analysis of the cause and effect diagram, it can be seen that the factors that cause damage originate from human/worker factors, work methods, production machines, work environment and raw materials so that companies can take preventive and corrective action in order to reduce the level of damage and improve product quality.

The Pukun Kuala Tanjung rice factory is a rice factory located in Pematang Tobat village, Sei Suka subdistrict, Batubara district. The Pukun Kuala Tanjung rice factory has been operating for fifteen years in milling rice into rice. In operating the Pukun Kuala Tanjung rice factory, it can produce 25 tons of rice/week. In carrying out the rice production process at the Pukun Kuala Tanjung rice mill, we often find that the rice produced does not match the quality of production, including the color of the rice being less than good (yellow), rice that is not peeled and crushed, which can lead to a decrease in the quality for sale and even unsalability. rice on the market so that the Pukun Kuala Tanjung rice factory experiences losses in producing rice. The aim of this research is as follows: to know how to control the quality of rice using the SQC (Statistical Quality Control) method, to find out the quality of rice produced by the Pukun Kuala Tanjung rice factory is still in good condition. controlled or not. This research uses descriptive quantitative research both when collecting and processing data where the data collected is data on defective rice products and data processing will be carried out using the SQC (Statistica Quality Control) method. From the data processing that has been carried out in this research, the author draws the following conclusions: Rice quality control using the SQC (Statistical Quality Control) method can be seen as follows: Based on the control chart, it is known that defective products are not within the upper control limits (Upper Control Limit) and Lower Control Limit which can mean that a defective product requires repairs to be made to the defective product.

Black pink shrimp is a type of small shrimp with light brown characteristics to resemble the color of small milk coffee, which is 2-4 cm in length. The purpose of this study was to determine the Quality Control of Black Pink Shrimp (Metapenaeus monoceros) with the Statistical Quality Control method. The data analysis used is quantitative analysis. The data sources used are primary and secondary data. The data analysis technique used is control map analysis (P Chart). The data collection methods used are observation, and literature study. The sample used was black pink shrimp. The results showed On the control map p it is known that the value of the upper control limit / Upper Control Limit (UCL) is 1.08, the average P is 0.659, and the value of the lower control limit / Lower Control Limit (LCL) is 0.21. UCL and LCL values are used as guidelines to define a process within control limits. Based on the graph, it can be seen that the production process of frozen shrimp products is still not under control because there are two samples that are beyond the upper control limit, namely in the 8th week and 13th week samples. The control carried out if there is a decrease in quality in the product, namely, telson butts and clubs of two segments are transferred to broken products and QC ensures that the SOPs applied run properly and correctly.

The development of the automotive world is currently growing rapidly, in achieving the company's goals to produce the quality of products that are in accordance with the customer's expectations. Companies must be able to create products with good quality, so that companies are able to compete in the market and can develop their business. There are many methods that discuss quality with their own characteristics. This study aims to analyze the implementation of production quality spare production of four-wheeled vehicles, especially the component number 5761 at PT Adyawinsa Stamping Industrials. The method applied in this study was the Statistical Quality Control (SQC) method. A quality control analysis was carried out using ventral statistical tools in the form of checking sheet, histogram, control chart, pareto chart, causal diagrams due to, recording the diagram, and stratification. The results of this study indicate that the product quality at PT Adyawinsa Stamping Industriales is still found in product disability. Main factors that influence product disability include due to human factors, machines, methods, materials, and environment.

This research was based on a flaw found in observations made during a period of one month with the location object of MSMEs Hartono tempe. The discovery of this defect has an impact on the quality of tempeh so that it can reduce people's purchasing power in tempeh. The purpose of this study is to find out how good the quality of the products produced, find out how big the level of defects in tempeh production is, and find out the causes of product defects using the SQC method. The use of the SQC method is used to control the quality of the initial process of the finished product, as well as certain quality standards that have been agreed upon by the company. Data was collected through interviews with company owners and observations for one month on the tempeh production process that occurred. Data shows that defects in tempeh production include the inclusion of foreign objects, uneven shapes, and damaged packaging. After observation, it turned out that damaged packaging was the most common cause of defects during observations. So, we will make a suggestion, namely making a plastic adhesive device (Sealer). In addition to reducing defects due to damaged packaging, the manufacture of sealers also speeds up the plastic gluing process when producing.    

This study aims to determine and analyze the quality control of banana chips in an effort to control the level of banana chip defects and whether the level of defects is within the control limits at Raja Kripik's IKM in Sigi Regency. Data collection methods using interviews, observation, and documentation. The data analysis technique uses the Statistical Quality Control (SQC) method using statistical tools in the form of check sheets and p-charts. The results of this study indicate that the product quality control carried out by Raja Kripik's is within the control limits because the value of the proportion of defects is smaller than the Upper Control Limit (UCL) value.

Temprina Media Grafika is a manufacturing company with printing and packaging services. The products are produced from PT. Temprina Media Grafika are packaging paper for various industrial products. However, the production of PT. Temprina Media Grafika still has a few problems that impact the product flaw. The purpose of this study is to identify the quality of Choco Wafer Roll packaging and offer improvements to improving the Choco Wafer Roll packaged products in PT. Temprina Media Grafika. The study was used are Statistical Quality Control (SQC) and Failure Mode and Effect Analysis (FMEA). Based on the results of research on Statistical Quality Control (SQC), the most dominant defects were color not appropriate (27,2%), after that shiny color not right (23,4%), uneven colors (21,9%), Spots appear on the pack (15,3%), and packaging design cut (12,3%). Based on the results of research on Failure Mode and Effect Analysis (FMEA), it is known that the problem causing disability with the highest RPN value of 168 is the machine factor with the cause of dirty UV polymer containers. Recommendations for improvements that can be made are Eliminating uv polymer containers after uv laminate processes.