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Bus Rapid Transit (BRT) systems play a crucial role in providing efficient and sustainable urban mobility, yet service quality often faces challenges that lead to passenger dissatisfaction. This study focuses on BRT Trans Jateng Corridor 7, which has received a considerable number of complaints regarding service reliability, comfort, and punctuality. The main objective of this research is to improve passenger satisfaction by applying the Six Sigma methodology to identify, analyze, and reduce the root causes of service-related complaints. Using the DMAIC (Define, Measure, Analyze, Improve, Control) framework, data were collected through complaint reports, passenger surveys, and operational performance indicators. Statistical analysis and cause-effect diagrams were employed to pinpoint critical factors influencing complaints, including bus frequency, driver performance, ticketing efficiency, and infrastructure support. The findings indicate that the application of Six Sigma significantly reduced recurring complaints, particularly in the areas of schedule adherence and service responsiveness, leading to measurable improvements in overall passenger satisfaction. The synthesis of results demonstrates that structured quality management approaches such as Six Sigma can effectively enhance public transportation service quality by providing systematic solutions to operational problems. In conclusion, this research highlights the practical benefits of Six Sigma in improving service performance and reducing passenger complaints, offering valuable insights for policymakers and transportation operators seeking to strengthen the quality and sustainability of public transit systems.

. PT. XY is a company engaged in the printing sector, especially in the security products sector, which is required to process its wastewater so that it can meet the required wastewater quality standards, especially in the processing of domestic waste originating from human waste and other consumption waste such as washing water, rinsing and so on. A Sewage Treatment Plant is a domestic liquid waste processing installation to process residual domestic liquid waste so that it becomes clear and is no longer harmful to the environment. The problem that arises is one of the measurement parameters in the wastewater quality standard, namely total coliform (coliform bacteria), which has not met the requirements for several months. This study aims to process domestic waste in the sewage treatment plant process with the six-sigma method to achieve results according to the requirements of the liquid waste quality standard. It is safe to be discharged into water bodies. The results of this study from 6 parameters 5 parameters meet the wastewater quality standards, namely: pH, Total Suspended Solids / TSS, Biochemical Oxygen Demand5 / BOD5, Chemical Oxygen Demand / COD, Oil and fat, while the average level of Total Coliform in a year is 6,448 MPN / 100 ml, not yet meeting the wastewater quality standards of 3,000 MPN / 100 ml. The results of the six-sigma calculation found a result of 1.5 Sigma (σ) where the process is in the non-competitive category

Product quality is a key factor in enhancing a company's competitiveness. PT Nugraha Potong Tekuk, a producer of MPGG products, experienced a significant increase in the defect rate, reaching 11% of total production during the period from June 24 to July 16, 2024. This study aims to analyze the defect rate, identify the main causes, and provide improvement recommendations. The study follows the Six Sigma methodology, including the Define, Measure, Analyze, Improve, and Control (DMAIC) phases. Based on P-Chart analysis, the production process is within statistical control limits, but the defect rate still requires improvement. Two main types of defects were identified: unevenness and size defects, each accounting for 50% of the total defects. Fishbone diagram analysis revealed four main contributing factors: people, machines, materials, and environment. The people factor includes lack of operator skills and operator fatigue, while the machine factor covers worn-out tools and uncalibrated measuring instruments. The material factor is related to low-quality raw materials, and the environmental factor includes poor lighting and unstable work surfaces. Improvement recommendations include operator training, routine machine maintenance, quality control of raw materials, and improvement of the work environment. This study is expected to help PT Nugraha Potong Tekuk enhance product quality, reduce defect rates, and maintain competitiveness in the market.

Batik Banten Mukarnas is a company that produces stamped batik designs with various patterns and varieties of batik. Problems frequently arise in the company due to increased stamped batik production capacity to meet the demand for stamped batik design products, which continues to rise from stamped batik suppliers. Another impact of growing demand capacity is the high number of defects in stamped batik cloth products, because overall, the company's management, including human resources, tools, and methods, is not prepared for the increase in production capacity to meet the surge in consumer demand, resulting in an impact on the quality of the products produced—consequently, the organization endeavors to regulate the quality of stamped batik cloth at PT. Batik Banten Mukarnas establishes objectives that employ Six Sigma with the DMAIC method (Define, Measure, Analyze, Improve, and Control) in the production of batik stamp designs to meet production objectives. The results of the data processing that has been done obtained a sigma value before improvement for 3 CTQ of 3.54. After improvement, the sigma value increased to 3.86. While for the sigma value before improvement for 1 CTQ of 3.04, the sigma value increased to 3.42 after improvement. The factors contributing to defective products, as illustrated by the fishbone diagram, include methods, personnel, materials, machinery, and environmental conditions. The division leader consistently oversees and regulates operations, enhances the number of brushes, and trains operators to ensure proficient adherence to standard operating procedures (SOP).

The e-guestbook application is an application used to record and process guest data arriving at an institution. The quality of the e-guestbook application system needs to be measured to determine the level of quality and user satisfaction with the application. This study aims to analyze the quality measurement of the e-guestbook application using the Six Sigma method at the South Sumatra High Prosecutor's Office. The Six Sigma method was chosen because it can identify and measure Critical to Quality (CTQ), thereby improving the quality of the application. The research results show that the sigma value of the e-guestbook application is 4.16, which means the quality of the application is very good. However, there are several aspects that need improvement, namely the ease of use of the application, the accuracy of the information, and the availability of application features. The recommended improvements are enhancing the user interface, validating input data, and adding a report printing feature. The application of the Six Sigma method has proven effective in measuring and improving the quality of the e-guestbook application at the High Prosecutor's Office of South Sumatra

This research employs the Six Sigma method using the DMAIC cycle (Define, Measure, Analyze, Improve, Control) to enhance the quality of Shopee’s services. Among the variables examined, significant results were found in the areas of delivery accuracy and application reliability. Based on the survey conducted, customer dissatisfaction reached 20% in delivery and 25% in application reliability. Through analysis, the root causes were identified and addressed by optimizing logistics and application stability. This research demonstrates that Six Sigma is effective in improving customer satisfaction and the quality of Shopee’s services.  

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.

Quality Management has been known since four thousand years ago, when the ancient Egyptians measured the dimensions of the stones used to build the pyramids. In modern times, quality management activities have developed through several activities, namely inspection, quality control, quality assurance, quality management and integrated quality management. The problem currently occurring at Bir Pletok Bang Udin UMKM in quality management is that they do not know the right composition to increase quality and do not know the standard level of factors used, so the author has carried out quality improvements in product manufacture. This research uses the DMAIC cycle (Define, Measure, Analyze, Improve and Control) with the Taguchi method for quality improvement. The aim of this research is to combine the DMAIC cycle with the Taguchi method to improve the taste quality of beer pletok drinks. The results of this research are that there is a significant change in the DPMO value and sigma value, before the DPMO improvement was 614.092 and the sigma value was 1.21, this value was relatively low, after the improvement the DPMO value became 32, this proves that the number of defects has decreased and the sigma value has increased to 5.50 This proves that there has been a large increase in process capability, so that the improve phase has proven to be very effective in improving quality and process capability.

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.

CV Harico is a manufacturing company that produces briquetted charcoal final products. In this research, the company had problems with the quality of charcoal briquettes which did not meet standards, amounting to 12% of the production process, including slanted shapes, holes and cracks. In this research, problem solving is done by combining the Six Sigma and TRIZ methods to get suggestions for improvement. The Six Sigma method is an organized and systematic method, Six Sgma has 5 stages, which can be known as the DMAIC phase. Based on the calculation of the DPMO value and the calculation of the sigma value at the measurement stage, the average DPMO value for October 2023-November 2023 was 27219 with a sigma value of 3.43. Based on the identification results using the Fishbone Diagram method and the FMEA method, the largest defects were found in the slanted shape of the charcoal briquettes, these results were obtained from the factor with the highest RPN value that caused defects. Proposed improvements based on the TRIZ method analysis include providing training, carrying out periodic actions, making maintenance schedules, evaluating work processes, changing tools to reduce the occurrence of defects. The aim of this research is to analyze the problems that occur as well as efforts to control quality and reduce product defects in briquetted charcoal products.

PT. Diamondfit Garment Indonesia is a company operating in the apparel industry, especially intimates and swimware. One of the products is the Intimates fused bra. In the production process, many defects are still found. This research aims to propose quality improvements using the six sigma method starting from the define, measure, analyze, improve and control stages. At the define stage, the production process is identified using the SIPOC diagram and identification of the type of defect. At the Measure stage, the calculation stage is carried out: fusing delamination DPMO value 366405.6 with a sigma value 1.84, Wavy At Neckline & Armhole DPMO value 65274.15 with a sigma value 3.01, Molding Yellowish DPMO value 350739.8 with a sigma value 1, 88, Dirty Glue has a DPMO value of 26109.66 with a sigma value of 3.44, and Heat Seal Not Sticking has a DPMO value of 191470.8 with a sigma value of 2.37. As a result of the analysis, it was found that factors causing defects occurred using FMEA tools and fishbone diagrams, namely machine, manpower, material and method factors. In the improvement stage, improvements are made to the factors causing defects and in the control stage, supervision is carried out over the proposed improvements that have been made by creating SOPs.

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.

This study aims to determine the number of rejected products (products that do not meet consumer and company standards) for 220 mL cup products using the six sigma method with 5 stages (define, measure, analyze, improve, and control) which will then be given improvement recommendations using failure mode effect analyze (FMEA). After going through the calculation process, it is known that the company's Deffect Per Million Opportunity (DPMO) value is 3.67 which indicates that the percentage of production without deffects is 96.32%. There are four critical to process (CTQ) in the 220 mL cup defect and the largest is the skewed seal with a percentage of 70%. The results of calculations using risk priority number (RPN) found recommendations in the form of corrective actions in 80% of the group of causes of oblique seal deffects so that it is hoped that the company will review and make improvements to the proposal so as to reduce deffects per million opportunity (DPMO) in the 220 mL cup production unit.                                                                                                      

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).

Nowadays, in health care facilities, whether in hospitals, health centres, or clinics, there is often a large number of patient visits that can cause delays in operational activities. Delays are caused by a lot of waste in patient flow activities in health facilities. Therefore, the application of Lean six sigma in improving patient flow is needed to overcome this. This research uses the Literature Review method where data collection and processing by referring to previously existing research in the last 5 years, namely 2019-2023. The literature was obtained through Google Scholar and journal databases using the keywords Lean Six Sigma, patient flow, and health service facilities. The number of journals used as a reference for previous related research in compiling this research is 6 journals. The results obtained from the six articles state that the application of lean six sigma in healthcare facilities has proven effective in improving patient flow. And this way is very effective of course to do.

Lean is a concept and technique for systems that optimizes patient benefit by decreasing waste and waiting time. The literature review approach is used in this study to acquire research data, with internet searches serving as a supplementary tool while looking for relevant papers. According to the study findings, mean hospital length of stay (LOS) fell by 24% throughout the intervention period in 259 patients with PMV (131 pre-intervention; 128 post-intervention) (29 vs. 22 days, p 0.001). This demonstrates that clinical redesign based on Lean Six Sigma decreases LOS in intensive care units. Other studies show that utilizing Lean Six Sigma has resulted in a 57% reduction in length of stay and an 88% reduction in the identification of non-value added tasks. Lean management in hospitals is a step toward greater service efficiency that has been shown to outperform Total Quality Management (TQM) and Plan, Do, Check, Action (PDCA) improvements. Customers and their families gain from shorter wait times, as do healthcare employees (medical, emergency, and non-medical) and hospital administration. The use of the lean six sigma approach in conjunction with the DMAIC cycle effects LOS reduction, indicating that lean six sigma can reduce LOS in hospitals.

CV Berkah Kecambah Tauge Aling is a company engaged in the field of food or vegetable bean sprouts made from green beans. In the production of CV Berkah Kecambah Tauge Aling there was a product defect in January 2023 which occurred, namely the result of the defect rate which was known to have the highest number of defects in the yellow color defect of 1818 packages, with a defect percentage of 58.3%. Then the Bad Smell defects with a total of 879 defects, a percentage of defects obtained by 28.2%, the type of defective packaging torn with a total of 423 defects, a percentage of defects of 13.6%. it is known that the diagram (p-chart) with the type of product defect still has 13 points exceeding the upper control limit or UCL and there are 12 points exceeding the lower control limit or LCL with a proportion of 0.148. Judging from the results of DPMO calculations and Sigma Levels, an average DPMO of 49619 is obtained, so that if there is a product defect of 49619 out of 1,000,000 opportunities in the Sprouts production process at CV. The Blessing of Aling Bean Sprouts. In the FMEA diagram to find out the factors and RPN values that result in product defects including human factors, machines, materials, methods, and the environment, the results of the FMEA analysis cause the biggest defects, namely yellowing defects with an RPN value of 810.

PT Kusuma Mulia Plasindo Infitex is a company engaged in the manufacturing sector that produces polypropylene and HD (Hight density Polyethylene) plastic products. The problem that occurred at PT Kusuma Mulia Plasindo Infitex was that the number of defective products on HD plastic products of 98,327 kg contained 4,194 kg of defective products. The purpose of this study is to determine the factors that cause defects and suggestions for improvements to minimize defective products. This study uses the six sigma method which is useful for finding the root causes of problems that are adjusted to the characteristics of the data they have. The 5 stages of six sigma are DMAIC(define, measure, analyze, improve, control) and kaizen is the Five M-Checklist. So from the results of data processing, the value is obtained in the form of DPMO 8393.048 and a sigma value of 2.49. Proposed improvements include providing training in plastic welding, providing additional 5-10 minute breaks and supervision while working. Perform routine machine maintenance every month and cleaning every day. Adding ventilation and blowers in the production room. Carry out the production process according to the existing SOP at the company, especially in mixing materials according to the SOP for raw materials that have been made by the company.

The quality of hospital services will affect patient satisfaction and also their loyalty in using these facilities and the rapid development of health services currently requires hospital managers to run their business well. in the hospital. This study uses the method of literature review (literature review) with search engines used in literature searches including Google Scholar and Research gate with the keywords Service Quality Improvement, Lean Six Sigma, Hospitals. The resulting articles were selected based on publications published between 2018 and 2023. The results showed that the application of lean six sigma in hospitals in improving the quality of their services can be carried out through the DMAIC (Define, Measure, Analyze, Improve, Control) approach. The conclusions of this study indicate that the application of lean six sigma can reduce difficulties, increase speed, and separate activities that have added value or value added from activities that have no added value or non-value added in hospitals, such as improving service quality by setting priorities by according to the highest gap required by the patient.

PT. Kali Jaya Putra is a manufacturing company that focuses on the production of wood floors. One of the products produced is solid flooring. In a series of production processes, product defects are still found up to 7.5% of total production, defects that often occur such as cracks, pinholes, roughness, and also twists which certainly affect product quality. The research conducted aims to determine the percentage of defective products, the causes of defects and the resulting impacts or effects, and to provide recommendations for improvements to minimize the percentage of defects in solid flooring products at PT Kali Jaya Putra. The method used is Six Sigma and Failure Mode and Effect Analysis (FMEA). The results of this study are that the most dominating defects are crack (53.75%), followed by pinhole defects (36.77%), twist (8.62%), and roughness (0.85%). The causes of defects in products are caused by several factors such as humans, machines, methods, materials, and the environment. Based on FMEA, it is known that the cause of the defect with the highest RPN is 384, namely operator negligence in material sorting. As for recommendations for improvement that can be given, namely conducting training on the grading of raw materials in the hope of minimizing operator errors in sorting raw materials.