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The Checksheet process at PT. Automotive component companies are an important activity to maintain quality consistency in the production of automotive components, especially brackets. However, the inspection method that is still carried out manually causes waste of time, high use of paper, and increased operational costs. This study aims to reduce the cycle time of Patrol Check A-T-A, implement a digital (paperless) recording system, and improve process efficiency through the PDCA (Plan-Do-Check-Act) approach, Fishbone Diagram, and Why-Why Analysis. The results of the identification of the root of the problem show that the absence of a standardized digital system and the lack of management initiatives are the main causes of the long inspection process and high paper consumption. The implementation of E-Checksheet as a digital solution resulted in a significant reduction in cycle time, from 50 minutes to 10 minutes, as well as eliminating paper use by up to 100%. In addition, workflows become simpler, data is easier to monitor, and processes become more efficient. This study concludes that the digitization of Checksheet is able to increase operational effectiveness, reduce waste, and support continuous improvement in the manufacturing environment.

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.

Community diagnosis is a strategic step that aims to identify fundamental problems in the community, determine problem priorities, and formulate appropriate solutions to overcome them. One of the identified health issues is a significant increase in cases of mumps (epidemic parotitis), an acute infectious disease caused by the mumps virus, a member of the Rubulavirus genus. This increase in cases was recorded in the Puskesmas work area from the beginning of the year to November 2024. This phenomenon raises concerns regarding the potential for widespread health problems at the community level. Therefore, this intervention activity was carried out with the hope of reducing the incidence of mumps in the Puskesmas work area.The methodology applied in this activity includes data collection through mini surveys, analysis of health determinants using the Blum Paradigm, determination of problem priorities through the Delphi method, and identification of root causes using a fishbone diagram. Based on the results of this analysis, the interventions implemented include counseling on mumps and preventive measures, as well as demonstrations of proper hand washing. The results of the intervention showed a significant increase in knowledge, where all participants (n=40, 100%) obtained a post-test score of ≥ 7, indicating a good understanding of the material presented. In the demonstration session, a number of participants were also able to demonstrate the steps for washing hands according to the correct procedure. From the results of the analysis, it was found that the increase in mumps cases in this area was closely related to community lifestyle factors. Therefore, this intervention is expected to not only increase community knowledge about mumps, but also encourage the implementation of clean and healthy living behaviors, especially in the practice of washing hands, as a preventive measure to reduce the number of transmissions and accelerate case handling.

In the textile industry, quality control is a crucial aspect to ensure the stability and consistency of production results. One of the important stages in yarn production is the warping process, which has a significant influence on the quality in the subsequent process. This study aims to apply the Statistical Process Control (SPC) method to assess the quality of 40 CD KNB yarn in the warping process in the GKBI PC company, Preparation Department, and determine whether the process is already in a controlled condition. Currently, the average quality and amount of monthly yarn production show fluctuations with a downward trend of 1.64 per 5,000,000 meters in the period February–July 2024. This figure is below the company's daily production target of 1.00 per 5,000,000 meters, so the target has not been achieved. This discrepancy indicates the need for a more systematic evaluation and improvement of the quality control system. Based on the analysis of the X-Bar control chart in January 2025, two data points were found outside the control limits (UCL = 176.8; LCL = -29.5; average = 73.6), ie on January 4 and 20. The main cause of such uncontrollability is the weak yarn that comes from the rewinding process. Check sheet analysis and Pareto diagram shows that the most common factors causing thread breakage are weak threads. Furthermore, through the cause-and-effect diagram (fishbone diagram), it was identified that the factors that cause thread breakage come from four categories: human (HR), material (raw material), environment, and machine. Of the four factors, human resources and material aspects are the biggest contributors to influence. Therefore, it is recommended that quality control at PC GKBI be strengthened through training and counseling programs to employees, in order to improve skills and awareness of the importance of quality. This step is expected to reduce the rate of yarn breakage, maintain the stability of the production process, and ensure consistent achievement of company targets.

This study aims to analyze the effectiveness of preventive maintenance on the Simplex machine at PT. XYZ by applying the Overall Equipment Effectiveness (OEE) method and identifying the primary causes of production losses through the Six Big Losses framework. Preventive maintenance is an important strategy to ensure machine reliability, reduce downtime, and improve production efficiency. OEE is a widely recognized performance measurement tool consisting of three key indicators: Availability, Performance, and Quality. These indicators collectively reflect the overall effectiveness of equipment in supporting the production process. The results of this study indicate that the OEE value of the Simplex machine is 79%, which remains below the world-class benchmark of 85% as recommended by the Japan Institute of Plant Maintenance (JIPM). This finding suggests that the machine’s performance has not yet reached the optimal standard and requires improvement efforts. Further analysis using the Six Big Losses approach reveals that the most significant contributors to reduced machine effectiveness are equipment failure and idling or minor stoppages. These two categories account for the majority of productivity losses, thereby affecting both machine utilization and production output. To further explore the underlying issues, a root cause analysis was conducted using a fishbone diagram, which enabled the identification of several critical factors related to human resources, methods, machines, materials, environment, and measurement systems. Based on this analysis, improvement proposals were developed through the 5W+1H method, providing a systematic strategy to enhance preventive maintenance practices. The recommended actions include scheduling more frequent inspections, improving operator training, upgrading spare parts management, and implementing stricter monitoring of machine performance. In conclusion, this study highlights the importance of continuous preventive maintenance to optimize machine productivity and reduce unplanned downtime. By adopting the proposed improvement strategies, PT. XYZ can increase the effectiveness of its Simplex machine, moving

Tuberculosis (TB) is an infectious disease caused by infection with bacteria from the Mycobacterium tuberculosis complex group. TB prevention efforts are crucial, especially for individuals at high risk of exposure, to disrupt the chain of transmission of this disease. The intervention aimed to increase community understanding of TOSS TB (Find, Treat, Treat Until Cured) so that it can be applied in daily life. It is expected that after the intervention, participants' knowledge will increase, as will their ability to demonstrate the practices taught appropriately. Data collection was conducted through a mini-survey of the community in the local Community Health Center (Puskesmas) working area. The data obtained were then analyzed using the Blum Paradigm to identify factors contributing to the problem. Problem prioritization was carried out using the non-scoring Delphi method, while root cause analysis was conducted using a fishbone diagram. During the intervention process, pre- and post-tests were conducted to evaluate changes in the level of knowledge of villagers before and after the intervention. For program monitoring and evaluation, the PDCA (Plan-Do-Check-Act) cycle approach and a systems approach were used. The analysis using the Blum Paradigm showed that lifestyle was the primary contributing factor to the problem. After the intervention, three participants were able to repeat the material effectively, demonstrating a better understanding of TB prevention. Based on these results, it can be concluded that the intervention was successful and is expected to encourage improvements in public health in the village. Furthermore, this program is also expected to serve as a model for other public health interventions, thereby expanding the positive impact of TB control efforts in other areas. Thus, public awareness and knowledge about TB can continue to increase, which in turn will contribute to reducing TB incidence in Indonesia and improving the overall quality of life of the community.

The research was conducted directly at the Pertamina Hulu Mahakam CPU Tambora Samarinda Company. The problem in this study is how to control the quality of wastewater and what factors affect the quality of wastewater in the PHM CPU Tambora Samarinda area, while the purpose of the study was to determine the control of wastewater quality and determine the factors that affect the quality of wastewater. Wastewater sampling was carried out in bottles for 31 days at 06.00 am and then sent to the laboratory for analysis of oil content in wastewater. The method used is the control map approach and fish bone diagram. The results of the study showed that the quality of wastewater was still within the standard quality limit of 12.5 ppm (still below the maximum standard of 40 ppm) and the dominant factor affecting the quality of wastewater was the equipment factor, namely due to damage to the pump

The research took place at Wastec Internasional Company, a company engaged in environmental waste processing services. The oil from the crude oil waste processing treatment process still has Basic Sediment and Water (BS&W) content and oil content that is too high so that it cannot reach the established standards so that the company must make efforts to reduce waste from the production process. The purpose of the study was to determine the sigma value, the number of defects and factors causing quality failure in crude oil processing treatment at PT Wastec Internasional. The methods used are the DMAIC method, control maps and fishbone diagrams. The calculation results obtained an average BS & W sigma value of 3.4 and an oil content sigma value of 3.29. The average number of defects for BS&W was 9.075% and for oil content was 2113 mg/L. The factors causing treatment quality failure are material, method and environmental factors.

The development of digital technology encourages MSME players to utilize digital platforms as a medium of information and communication with customers. Widasari Bakery is a bakery established since 1999 in Sidoarjo, has not maximized digital platforms such as websites as information media. This study aims to design the interface design of the Widasari Bakery website as a medium of information and communication to customers. The research method used uses qualitative and quantitative methods involving surveys, interviews, questionnaires, and literature studies, and uses the fishbone diagram method and SWOT analysis to identify problems and look for development potential. The results of this design are expected to increase brand identity and market reach and strengthen the growth of the Widasari Bakery brand in the digital era.

The rapid increase in Ro-Ro (Roll-On/Roll-Off) vessel and vehicle traffic at Tanjung Perak Port, Surabaya, has exposed critical inefficiencies in port operations, particularly at key berths such as Jamrud Utara and Jamrud Selatan. These inefficiencies manifest as prolonged queuing times for Ro-Ro vessels and land-based vehicle congestion, leading to delays in cargo handling and increased operational costs. This study aims to evaluate the operational performance of Ro-Ro terminals based on queue time indicators for both Ro-Ro vessels and vehicles. Employing a quantitative descriptive approach, the research integrates the M/M/c queuing model and Fishbone Diagram analysis to identify systemic causes of operational delays and overcapacity. The study reveals that berth utilization rates exceed 75%, indicating saturation, while limited buffer zones and disorganized traffic flow exacerbate vehicle queues. As a case study, the findings offer data-driven insights and practical recommendations, including schedule optimization, dedicated traffic lanes, and infrastructural upgrades to mitigate congestion. The proposed framework not only enhances service efficiency at the port but also contributes to broader logistics performance in Eastern Indonesia. By combining classical queuing theory with root cause analysis, this research introduces a methodological synergy that can be replicated across other Ro-Ro terminals facing similar challenges. The findings underscore the urgent need for integrated port traffic management and infrastructural adaptability in response to growing maritime logistics demands.

This study aims to analyze the product quality of tofu at Tahu Tansa, a tofu business located in Bogor City, by utilizing quality control tools such as check sheets, Pareto diagrams, and fishbone diagrams. Tofu is a nutritious food product with high consumer demand, but its production process often encounters defects that affect product quality. This research uses primary data obtained through direct observation and interviews and is analyzed using descriptive quantitative methods. The results show that the most dominant defect is non-standard tofu cutting size (50%), followed by overly soft texture (37.87%), and residual cloth stuck on the product (12.13%). Based on fishbone analysis, these defects are caused by suboptimal factors including manpower, machines, methods, raw materials, and measurement. The findings imply that improvements in operational standards, workforce training, and strict monitoring of raw materials and equipment are necessary to maintain quality and improve production efficiency at Tahu Tansa.

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.

This study aims to use the fishbone diagram as a tool to identify the causes of damage to the feeder mechanism of scrap machines and to develop Standard Operating Procedures (SOP) that can improve performance and reduce the level of damage. This diagram is used to evaluate various elements that contribute to the damage of the feeder mechanism, such as human, machine, material, method, and environmental factors. Through this evaluation, the main causes of the damage can be identified, and appropriate corrective actions can be formulated. In addition, this research also aims to design SOPs that ensure more efficient operation of the scrap machine and reduce the likelihood of operational errors. The implementation of mechanism improvements and SOPs is expected to enhance the reliability of the scrap machine, reduce downtime, and increase productivity in the mechanical technology laboratory. The findings of this study are expected to make a significant contribution to the development of management systems and equipment maintenance in both industrial and educational sectors.  

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).

In an era of increasingly fierce competition in the energy sector, companies are required to not only meet customer needs, but also to improve service quality and customer satisfaction in a sustainable manner. This study aims to analyze and improve the performance of the Marketing and Customer Service Division at PT XYZ by applying the 5W1H method and the Fishbone Diagram.  The study identified a number of factors that contributed to the division's low performance, including a lack of adequate training and decreased work motivation. Through in-depth analysis, this study provides strategic recommendations to improve the quality of training, the development of an integrated information system, and the establishment of clear service standards. The implementation of these recommendations is expected to improve productivity, service quality, and customer satisfaction, as well as strengthen the company's position in a competitive market.

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.

Demand for additional electric power increases as electricity demand increases, but the process is often hampered by obstacles in the operational workflow. The main objective of this research is to analyze operational risks in kWh addition services using the Root Cause Analysis (RCA) method using the 5 Why technique and fishbone diagram. The RCA method equipped with a fishbone diagram will produce a mapping of the causes of operational risk obstacles in the PT XYZ kWh addition service in a structured manner. In the process, the author identifies and analyzes the various risks faced, and proposes improvements aimed at improving service quality. Based on the results of the research analysis, there are two operational risks related to kWh addition, namely: the migration process of postpaid kWh meters to prepaid meters and the use of electricity by customers who exceed the contracted power. The conclusion shows that most of the operational risks come from customer behavior. Proposed improvements include increasing the frequency of inspections, proactive planning for power additions, and transparency of information to customers. The results of this report are expected to make a positive contribution to operational risk management at PT XYZ and improve customer satisfaction.

This research aims to analyze the risk of work accidents at PT Sermani Steel Corporation using the Failure Mode Effect Analysis (FMEA) method. This method is applied to identify potential hazards in the production process of zinc coated steel, such as hollow, C channel, and battens. Data were collected through questionnaires, observations, and interviews, then processed to calculate the Risk Priority Number (RPN). The results showed that the highest risk was found in zinc machine production activities, with an RPN value of 321.6, mainly related to the risk of being cut by products or product debris. Based on Pareto and Fishbone Diagram analysis, the main causes of accidents are human, machine, method, and environmental factors. The conclusions emphasize the importance of OHS training, installation of signs and indicator lights on machines, and close supervision to minimize the risk of accidents. The recommendations provided are expected to reduce work accidents by 38% of the total accidents that occur in the production area.

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 high competition in the property industry requires companies to maintain high occupational safety and health (K3) standards. Data from the engineering division of PT Gaia Care International shows that in the period January-November 2023 there were 11 work accidents, with the majority being minor accidents and one fatal case. This study aims to identify potential risk hazards, analyze risk levels, and determine appropriate risk control measures.  The HIRARC method is used in three stages: Hazard Identification, Risk Assessment, and Risk Control. The results showed that there were various potential hazards such as electrocution, falling from stairs, and exposure to chemicals. The risk assessment classified 5 work activities as low risk, 43 as medium risk, and 2 as high risk and no extreme risk was found. Risk control efforts are carried out using fishbone diagrams and 5W+1H techniques to reduce or eliminate existing risks.  This research is expected to provide benefits for companies in reducing the number of work accidents and become a reference in implementing better OHS policies, as well as providing additional insight for readers regarding the importance of risk analysis in creating a safe and healthy work environment.