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PT Primayudha Mandirijaya merupakan suatu perusahaan yang bergerak dibidang pemintalan benang yang terletak di Desa Ngadirojo, Kecamatan Ampel, Kabupaten Boyolali, Provinsi Jawa Tengah. Pada data produksi benang cotton pada bulan Februari 2024 cacat yang paling sering terjadi yaitu cacat kotor sebanyak 21 unit, cacat stitching sebanyak 15 unit dan cacat non standar sebanyak 8 unit. Studi ini menggunakan metodologi Six Sigma yang bertujuan untuk mengurangi tingkat cacat dengan mendorong pemahaman, pengukuran dan perbaikan proses. Lima fase Six Sigma adalah Define, Measure, Analize, Improve dan Control. Upaya yang dilakukan untuk menurunkan ambang batas kecacatan pada PT Primayudha Mandirijaya, memberikan pemahaman mengenai penggunaan mesin dan perawatan mesin, melakukan pengecekan dan lebih meningkatkan kebersihan mesin, SOP di share ke operator dan di tempel di mesin, dan memberikan pemahaman bagaimana menciptakan kenyamanan lingkungan saat bekerja.

PT Primayudha Mandirijaya merupakan suatu perusahaan yang bergerak dibidang pemintalan benang yang terletak di Desa Ngadirojo, Kecamatan Ampel, Kabupaten Boyolali, Provinsi Jawa Tengah. Pada data produksi benang cotton pada bulan Februari 2024 cacat yang paling sering terjadi yaitu cacat kotor sebanyak 21 unit, cacat stitching sebanyak 15 unit dan cacat non standar sebanyak 8 unit. Studi ini menggunakan metodologi Six Sigma yang bertujuan untuk mengurangi tingkat cacat dengan mendorong pemahaman, pengukuran dan perbaikan proses. Lima fase Six Sigma adalah Define, Measure, Analize, Improve dan Control. Upaya yang dilakukan untuk menurunkan ambang batas kecacatan pada PT Primayudha Mandirijaya, memberikan pemahaman mengenai penggunaan mesin dan perawatan mesin, melakukan pengecekan dan lebih meningkatkan kebersihan mesin, SOP di share ke operator dan di tempel di mesin, dan memberikan pemahaman bagaimana menciptakan kenyamanan lingkungan saat bekerja.

XYZ is a manufacturing company that produces Yamaha brand motorbike parts such as electrical switches, electrical sockets, lever assembly and horns. Many of the products sent were returned by customers because they did not meet quality standards, for example in March 2024 there were 1,420 pcs out of a total of 19,900 pcs that were returned. This means that companies have to increase production time and costs to replace defective products that are returned because they do not have safety stock. Forecasting is needed to control the production system so that it does not experience over stock and safety stock shortages. This research aims to provide recommendations for forecasting methods that companies can use to minimize the occurrence of production excesses and shortages in the company. Forecasting is done based on historical company sales data for 12 months. The method used is the exponential smoothing method which is then tested whether this method can be used in the future. This calculation uses the help of POM-QM (Production Operation Management – Quantitative Method) software. Calculations are carried out by testing the MAD, MSE, and MAPE values to obtain calculation error values. The results obtained by forecasting the main sw srtg lock assembly product using the exponential smoothing method were 15,708 for demand for the next period, MAD 3.38, MSE 22.84 and MAPE value 26%. Based on these results, the exponential smoothing method can be a recommendation for companies to forecast future demand. This is because the value of forecasting accuracy or MAPE is reasonable. The smallest percentage of MAPE values has a fairly minimal possibility of error in forecasting results.

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.

UD Sadewo Jagat is a company engaged in furniture production, this company provides sales of finished, semi-finished products and maintenance for various types of teak wood furniture. Finished products include tables, chairs, shelves and various other types of displays. However, in this study, we only analyzed defective products for wooden box table products because the production process of wooden box table products because the production process of wooden box tables experienced problems, namely the number of defects exceending 5% of the company’s standard provisions. The aim of this research is to analyze product quality control techniques using the Statistical Process Control method in reducing defective products, and to find out what factors cause defects in products produced by UD Sadewo Jagat. This research uses the Statistical Process Control (SPC) method, which is one of the analytical methods used to analyze the causes of defects that occur, both in terms of product quality and in terms of the quality of the production process. Quality control analysis is carried out using. The results of the check sheet analysis show an average of 9,6% product defects per month. From the results of the Pareto diagram, it can be seen that the highest level of defects is crack defects, with a total of 80 units or 44,94% of total product defects in 2023. Meanwhile, the results of the control chart that has been made can be seen that quality control is uncontrolled and not according to standards. From the results of the fishbone diagram, it is concluced that the factors causing product defects are human factors, materials, environment, and methods.

Pan Brothers Tbk is one of the garment companies that adopted garment production in the form of 3D VR (Virtual Reality) as a garment prototype in Indonesia. In the process of making 3D VR products, many defective products must be revised. The study aims to implement the Six Sigma method and suggest improvements to reduce defects in 3D VR garment products using the Six Sigma method with the stages of defining, measuring, analyzing, improving, and controlling. In the define stage, the identification of the production process using the SIPOC diagram and identifying the type of defect. In the measure stage, the DPMO and sigma value calculations are carried out. The most defects are fitting not balanced and properly with a DPMO value of 269619.2 and a sigma value of 2.11. In the analysis stage with a fishbone diagram shows the factors that cause defects, namely man, machine, material, method, and environment. In the improvement stage, suggestions for improvements are given to reduce defects in 3D VR garment products. In the control stage, quality control is carried out by conducting internal training, upskilling, creating inspection report forms, adding teams to the QC division, and adding SOPs for the 3D VR producing process.

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.

Azhari Bakar Bread Factory is an MSME domiciled in Rejowinangun, Kotagede, Yogyakarta. In the production process, this factory can produce 7807 pieces of bread in a month, of the total production that month 57 pieces of bread are defective. To reduce defects, quality control is needed. Quality control aims to produce products in the form of goods or services that comply with the desired and planned standards, as well as improve the quality of products that do not comply with predetermined standards and possibly maintain appropriate quality. This research uses the Six Sigma and Kaizen methods by showing factual data and comparing it with existing theories to find things that need to be added, improved, or maintained. This research found that the sigma process capability calculated for 1 month was 2.97 with a possible damage of 3661.21 for one million production. From these results, it can be said that the company has not implemented quality control completely properly and correctly because it is still far from the target level of 6 sigma, therefore the company needs to carry out quality control on defective products. The factor that causes production defects is the human factor. machines, methods, materials, and environment.

Azhari Bakar Bread Factory is an MSME domiciled in Rejowinangun, Kotagede, Yogyakarta. In the production process, this factory can produce 7807 pieces of bread in a month, of the total production that month 57 pieces of bread are defective. To reduce defects, quality control is needed. Quality control aims to produce products in the form of goods or services that comply with the desired and planned standards, as well as improve the quality of products that do not comply with predetermined standards and possibly maintain appropriate quality. This research uses the Six Sigma and Kaizen methods by showing factual data and comparing it with existing theories to find things that need to be added, improved, or maintained. This research found that the sigma process capability calculated for 1 month was 2.97 with a possible damage of 3661.21 for one million production. From these results, it can be said that the company has not implemented quality control completely properly and correctly because it is still far from the target level of 6 sigma, therefore the company needs to carry out quality control on defective products. The factor that causes production defects is the human factor. machines, methods, materials, and environment.

LP is one of the pharmaceutical companies located in Serang, Banten. The production of the company is tablets, capsules, and syrup. Problems that occur at PT. LP is a product defect that occurs in capsule filling, especially in capsule A. The purpose of this study is to determine the defective products that occur in capsule A and to find out the proposed improvements that will be made to reduce product defects in capsule A. The research methods used are Statistical Process Control (SPC)  and Fuzzy Failure Mode and Effect Analysis (F-FMEA). The population and samples used were defective capsule A during the production process from March 2022 to May 2023, with sampling techniques through production data, observation and interviews. And the results of research using a check sheet show that the percentage of defects reaches 6%, based on the pareto chart, the priority of improvement that needs to be done is for the dominant type of defect, namely  the dented capsule reject reaches 90%, and on the control chart there are still control points that are outside the UCL and LCL. FMEA calculations, the RPN value of the capsule is dented on the head of the capsule or capsule body reaches 384, and the FRPN value is 6.76.    

Tofu Prapto MSMEs are tofu producers who often experience quality problems in the tofu they produce. Based on the data obtained, it shows that the amount of tofu production is 8,400 pcs (100%) and product defects of 1,009 pcs (12%) that occur in Tofu Prapto MSMEs during September 2023.This research will be carried out an analysis of quality control of Tofu defective products in Tofu Prapto MSMEs using the Six Sigma method and Re-Layout Design. By implementing the six sigma method and Re-Layout Design, it is expected to identify defects and provide recommendations for improvement to MSMEs Tahu Prapto.The factor causing the highest defect in the type of dirty tofu defect is caused by there are stations that are too close together such as boiling stations too close to the filtering and printing station in the production process so that dust and dirt from burning wood fuel when The boiling process can stick to the filtering and printing process so that there needs to be a distance between work stations from each other. From the sigma calculation, the average DPMO value is 120119,048 with a sigma value of 2.68 from the sigma calculation results, it can be said that the sigma value is still far from the desired sigma value, which is 6.

Quality and Quality in the manufacturing industry in addition to emphasizing the products produced, it is also necessary to pay attention to the quality and quality of the production process. Thus, the final product produced is a product that is free from defects and there is no more waste that must be paid dearly because the product must be discarded or reworked. To maintain and improve the quality of the products produced, it is necessary to have quality control for the company. With quality control, it is expected that the products produced are in accordance with the standards set and deviations that occur can be immediately overcome. The Six Sigma method is a statistical concept that measures a process related to defects or defects. This method is considered as a method that is able to take a comprehensive approach, which will dramatically improve the quality of the resulting product. With the implementation of the Six Sigma method, CV. Bintang Terang Medan is expected to minimize the number of defective products to zero defects.

PT. PG X is part of ID FOOD which focuses on the sugar cane agro-industry sector. SHS sugar is the main product. To ensure production meets consumer standards and expectations, it is necessary to implement quality control during the production process. This involves quality control, improvement and improvement of systems so that the products produced are superior and competitive. In writing this article, the author is interested in exploring the problem of product defects and deviations in the production process, including defective products, as well as efforts to improve and improve product quality. The problem solving method used is the six sigma method. From the research results, it was found that the total production produced during October was 48,611 and 3,283 defective products were found. In the sugar production section, PT X Sugar Factory has a sigma level of 3.7 with a possible damage of 24,635 for one million production (DPMO).

Abstract. UD Cantenan is an industrial company engaged in metal casting, especially made from Aluminum. This company is known to have quality control problems in the manufacture of lip handle products and canal parts. The result of this problem is defective products in the lip handle and canal parts. In this case, of course, the company will spend more to repair the product so that the company experiences losses. Companies need to find ways to reduce the number of defective products. In this study, the Six Sigma method was used with DMAIC (Define, Measure, Analyze, Improve Control) and TRIZ stages to analyze and provide solutions to improve problems that occurred in the company. Based on the research conducted, at the define stage there are 3 types of defects in the lip handle product and canal parts, namely small scratches, small pinholes, and asymmetrical patterns. Then the measure stage obtained the percentage of small scratch defects of 54.47%, small pinholes of 17.3% and asymmetrical patterns of 28.2%. The average DPMO score obtained is 25,720 with a sigma level of 3.45 which shows that UD Cantenan can be categorized as good for industry in Indonesia. Furthermore, at the analysis stage Based on the identification of causal factors using FMEA analysis, it is known that the biggest contributing factor to failure is operator error in the operation of the milling machine. Then at the improve stage, make improvement proposals based on obtaining the highest RPN value from the factors causing disability using the TRIZ method. And the last stage, namely control, is the result of proposed improvements that can be made by the company to solve problems to reduce the number of product defects that occur during the production process.