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Ketidaksesuaian kualitas pada proses assembly sepatu kulit kerap memicu siklus rework berulang yang menguras sumber daya waktu maupun biaya produksi secara signifikan. Penelitian ini mengkaji mekanisme pengendalian cacat yang diterapkan pada Product D-01 di Lini C PT XYZ, dengan menggunakan DMAIC sebagai kerangka perbaikan utama serta Pareto, P-Chart, Fishbone Diagram, 5 Whys, Failure Mode and Effects Analysis (FMEA), dan Cost of Quality (COQ) sebagai alat pendukung. Data primer bersumber dari catatan produksi internal perusahaan, pengamatan lapangan, dan wawancara terstruktur bersama pengawas produksi dan staf quality control. Pengukuran baseline menunjukkan bahwa Lini C menyumbang volume cacat paling tinggi di antara seluruh lini yang ada, dengan Product D-01 mencatat 10.487 pair cacat dari total output 80.387 pair, sehingga menghasilkan defect rate sebesar 13,05%. Distribusi Pareto mengidentifikasi wrinkle, incorrect colour, dan not straight sebagai tiga kategori cacat paling kritis. Penilaian FMEA menetapkan Risk Priority Number tertinggi sebesar 245 pada perilaku operator yang terburu-buru selama proses lasting dan brushing. Tindakan korektif mencakup pemasangan SOP visual, implementasi checklist QC pra-shift, verifikasi kondisi mesin secara rutin, dan penyediaan sampel referensi warna serta bentuk yang terstandar. Pemantauan selama dua periode berikutnya mengkonfirmasi penurunan defect rate secara bertahap menjadi 12,80% dan kemudian 11,65%, disertai penurunan estimasi biaya kegagalan internal dari Rp 2,36 juta menjadi Rp 1,86 juta per periode.

The physical work environment in the Aerosol Production Department of PT XYZ experienced problems related to excessive room temperatures reaching 37.3°C and chemical odor pollution caused by vapor recirculation from the coating oven process. These conditions potentially reduced operator comfort and concentration. This study aimed to analyze the effectiveness of the Kaizen approach through the Plan-Do-Check-Act (PDCA) cycle in controlling production room temperature and improving air quality. A quantitative descriptive method with an Action Research approach was employed. Problem identification and root cause analysis were conducted using the 7 QC Tools, particularly the Pareto Diagram and Fishbone Diagram. Improvement actions included the installation of turbine ventilators, aluminum foil roof insulation, and a 3-meter vertical exhaust ducting system. The results showed that the average room temperature decreased from 34.6°C to 27.4°C, representing a reduction of 7.2°C, while the peak daytime temperature decreased by 8.7°C and met the established threshold limit value. In addition, chemical odor pollution was completely eliminated. Therefore, the Kaizen-PDCA approach proved effective in improving the physical work environment sustainably.

The high rate of occupational accidents globally and nationally demands the strengthening of Occupational Health and Safety (OHS) management systems, particularly in the high-risk industrial sectors. The study aims to analyze the implementation of safety induction at PT X and develop audiovisual educational media as a solution to improve occupational safety understanding. The research method employed is descriptive qualitative, with data collection techniques including field observations, in-depth interviews, and review of corporate documents, Problem prioritization was determined using the Urgency, Seriousness, and Growth (USG) method, while root cause analysis was conducted using a Fishbone diagram. Research findings indicate that the current oral delivery method for safety induction is ineffective, as evidenced by 13% of participants needing to retake the comprehension test. As an intervention, “POWER SAFE” video media was developed, which, based on the Methodology, Effectiveness, Efficiency, and Relevance (MEER) analysis, proved to have the highest effectiveness and relevance in delivering standardized safety information. The implications of study emphasize that the use of structured digital media is a strategic step to minimize gaps in understanding and strengthen the safety culture within high-risk work environments.

The high rate of occupational accidents globally and nationally demands the strengthening of Occupational Health and Safety (OHS) management systems, particularly in the high-risk industrial sectors. The study aims to analyze the implementation of safety induction at PT X and develop audiovisual educational media as a solution to improve occupational safety understanding. The research method employed is descriptive qualitative, with data collection techniques including field observations, in-depth interviews, and review of corporate documents, Problem prioritization was determined using the Urgency, Seriousness, and Growth (USG) method, while root cause analysis was conducted using a Fishbone diagram. Research findings indicate that the current oral delivery method for safety induction is ineffective, as evidenced by 13% of participants needing to retake the comprehension test. As an intervention, “POWER SAFE” video media was developed, which, based on the Methodology, Effectiveness, Efficiency, and Relevance (MEER) analysis, proved to have the highest effectiveness and relevance in delivering standardized safety information. The implications of study emphasize that the use of structured digital media is a strategic step to minimize gaps in understanding and strengthen the safety culture within high-risk work environments.

Health program planning is an essential process in improving public health status through a systematic and data-driven approach. This study aimed to analyze health program planning based on situational analysis and the problem solving cycle (PSC), as well as to identify the root causes of problems using the fishbone approach. The research employed a descriptive qualitative method supported by simple quantitative data. Data were collected through in-depth interviews, observations, and documentation involving purposively selected informants. The results of the situational analysis identified several major health problems, including stunting, low posyandu attendance, and limited maternal knowledge regarding nutrition. Priority setting using the USG method determined stunting as the main health issue. Furthermore, root cause analysis using a fishbone diagram revealed that stunting was influenced by various factors related to man, machine, method, material, environment, money, and management. The application of the problem solving cycle facilitated systematic intervention planning, including nutrition education, community empowerment, and child growth monitoring. Program implementation demonstrated improvements in maternal knowledge and posyandu attendance. In conclusion, health program planning based on situational analysis, fishbone analysis, and the problem solving cycle proved effective in producing targeted and sustainable interventions.

Health program planning is an essential process in improving public health status through a systematic and data-driven approach. This study aimed to analyze health program planning based on situational analysis and the problem solving cycle (PSC), as well as to identify the root causes of problems using the fishbone approach. The research employed a descriptive qualitative method supported by simple quantitative data. Data were collected through in-depth interviews, observations, and documentation involving purposively selected informants. The results of the situational analysis identified several major health problems, including stunting, low posyandu attendance, and limited maternal knowledge regarding nutrition. Priority setting using the USG method determined stunting as the main health issue. Furthermore, root cause analysis using a fishbone diagram revealed that stunting was influenced by various factors related to man, machine, method, material, environment, money, and management. The application of the problem solving cycle facilitated systematic intervention planning, including nutrition education, community empowerment, and child growth monitoring. Program implementation demonstrated improvements in maternal knowledge and posyandu attendance. In conclusion, health program planning based on situational analysis, fishbone analysis, and the problem solving cycle proved effective in producing targeted and sustainable interventions.

Prolonged outpatient waiting time remains a major challenge in public hospitals and reflects inefficiencies in service process management. Internal medicine clinics are characterised by high service complexity and patient volume, making them particularly vulnerable to process waste that contributes to extended waiting times. Objective: This study aimed to develop an outpatient service flow model based on the Lean Hospital approach to reduce waiting time in the internal medicine clinic of RSUD Balaraja. Methods: A qualitative case study design was employed. Data were collected through direct observation of outpatient service processes, document review, and Focus Group Discussions (FGD) with relevant stakeholders. Process analysis was conducted using Value Stream Mapping (VSM) to identify value-added and non–value-added activities, while Fishbone Diagram analysis was applied to explore the root causes of process inefficiencies. All findings were integrated to develop a future-state outpatient service flow model. Results: The findings indicate that prolonged outpatient waiting time is primarily influenced by inefficient service flow design, repetitive administrative processes, and weak coordination among service units. The proposed service flow model demonstrates a more streamlined, integrated, and patient-centred process, with potential reductions in waiting time through systematic waste elimination and process improvement. Conclusion: The Lean Hospital approach provides an effective framework for developing outpatient service flow models in public hospitals. The proposed model offers a practical basis for improving outpatient service efficiency in complex clinical settings such as internal medicine clinics.

Prescription waiting time is a key indicator of pharmacy service quality that directly influences patient satisfaction and hospital efficiency. Data from the Outpatient Pharmacy Installation of Pelabuhan Jakarta Hospital show average waiting times of 30.49 minutes for non-compounded medications and 35.93 minutes for compounded medications. Although these figures are still within national standards, they have not met the hospital’s internal targets, indicating inefficiencies that require systematic improvement.This study aimed to analyze prescription waiting times and identify waste in outpatient pharmacy services using Lean Hospital and Continuous Improvement approaches. A qualitative analytical method with a case study design was applied. Data collection involved participatory observation, in-depth interviews with key informants (head of pharmacy, pharmacists, and technicians), and document review. Analysis utilized Lean tools such as Value Stream Mapping (VSM), identification of Value Added (VA) and Non-Value Added (NVA) activities, bottleneck analysis, fishbone diagram, and Failure Mode and Effects Analysis (FMEA).The findings revealed that service processes were dominated by non-value-added activities, especially during prescription receipt, verification, packaging, and dispensing. Major wastes included waiting, motion, and overprocessing. Contributing factors were uneven staff distribution, suboptimal e-prescribing systems, incomplete prescriptions, and lack of standardized procedures. The proposed future state VSM demonstrated potential improvements in reducing waiting time and enhancing service efficiency.

This study aims to analyze the quality of granulated sugar products at PT Madukismo Yogyakarta using the Six Sigma methodology through the DMAIC approach (Define, Measure, Analyze, Improve, and Control). The main problems identified involve high variations in product quality and significant defects, particularly related to moisture content (less dry) and off-color products. Production and defect data from May 2023 to September 2024 were used to calculate DPMO and sigma levels as indicators of process performance. The results show that the sigma level ranges from 4.48 to 5.03, with the highest DPMO recorded at 1,456.76 and the lowest at 205.55, indicating that the process has not yet achieved Six Sigma performance. Pareto analysis reveals that color defects (58.4%) contribute the most to overall defects. The Fishbone diagram analysis indicates that defect causes originate from factors related to manpower, method, material, machine, measurement, and environment. Improvement recommendations include digitalizing monitoring systems, enhancing SOPs, upgrading operator competencies, modernizing machinery, improving raw material management, and strengthening environmental control systems. These improvements are expected to reduce DPMO to below 500 and increase the sigma level to at least 5.2. This study concludes that the Six Sigma approach is effective in identifying quality issues and formulating strategies to improve the quality of granulated sugar products at PT Madukismo.

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 determine and analyze service waiting times, identify the root causes of long queues, and develop a strategy to improve service performance at the 5361137-gas station (SPBU) at the Surabaya-Gresik Toll Rest Area. The research method used is a mixed-methods approach with an exploratory sequential design. This study combines quantitative analysis using Queuing Theory to measure system performance (arrival rates and service times) and descriptive qualitative analysis using a Fishbone Diagram. Data were collected through direct observation, interviews, and g-form techniques. The results indicate that the current queuing system performance is in a critical or severe condition, indicated by a server utilization rate of 0.94 to 1.02 during peak hours. The average time spent by vehicles in the system is 14.3 minutes, of which 9.6 minutes (67%) is spent waiting in the queue. Fishbone diagram analysis revealed that the root cause of the main problem lies in the complex interaction of factors: Machine factors (EDC signal failure and pump repair downtime), Human and Method factors (implementation of static shifts and reactive maintenance), and Environmental factors (narrow layouts that hinder large vehicle maneuvers). As a solution, this study formulated a hybrid improvement strategy that includes short-term business process engineering (the use of Floating Staff and lane segregation) and long-term investment in additional pumps to change the queuing model from Single Channel to Dual Channel. This strategy is expected to reduce the utility level to a safe zone below 0.80 with a target waiting time of 3–5 minutes.

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 aims to analyze the bread production system of UMKM Roti D’One using the Input–Process–Output (IPO) approach and to identify product defects through the application of the Seven Tools of quality control. Data were obtained through interviews, field observations, and production recording. The IPO analysis shows that the production process is carried out manually and relies heavily on worker skills and household-scale equipment. Based on the checksheet, two dominant types of defects were identified—non-soft texture and uneven color—resulting in 30 defective products out of 1,400 breads produced in one week. The Pareto analysis indicates that texture defects contribute the largest portion (56.7%) of total defects. Meanwhile, the fishbone diagram reveals that the main causes originate from raw material inconsistency, equipment limitations, variations in worker skills, and manual production methods. This study suggests improvements related to raw material standards, production consistency, and worker training to reduce defects and enhance the overall quality of Roti D’One products.

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 quality control at the Lekkerz Enakk business in Bogor branch using three statistical tools, namely Checksheet, Pareto Diagram, and Fishbone. Data collection was conducted through interviews with the owner, admin, and employees, as well as direct observation at the nearest branch location regarding the production process. Based on the results of the observation, three defects were found that frequently occurred during the production process within a period of seven days with the most dominant lekker product damage being a non-crispy texture (42%), and non-uniform color (27%). Based on the fishbone analysis, these defects were caused by Man (human), Machine (machine) factors. The implications of this study indicate that it is necessary to improve operational standards, workforce training, and supervision of raw materials and production equipment to maintain the quality and efficiency of the lekker production process at the Lekkerz Enakk business in Bogor.

Drug stock-outs are an indicator of pharmaceutical management failure that directly affects patient safety and the quality of hospital services. Gatoel Hospital Mojokerto experienced an increase in the percentage of drug debt from 3.14% in January to 6.20% in July 2025, with 1,607 patients affected. This study aims to identify the factors causing drug stock-outs and formulate preventive strategies through the optimization of the Minimum-Maximum Stock Level (MMSL) system based on the Hospital Information System. A mixed-method approach was used, combining secondary data analysis (January–July 2025) and in-depth interviews. Fishbone analysis was applied to identify root causes, USG analysis to determine priorities, and SWOT analysis to formulate intervention strategies. Priority drug classification was carried out using the ABC-VEN method. The intervention involved implementing an MMSL pilot project for 150 drug items under Pareto category A. The analysis identified six dimensions of stock-out causes: man, materials, methods, machines, measurement, and environment. The highest priority issue was drug demand forecasting based on historical data (USG score: 125). SWOT analysis placed the organization in quadrant II, recommending a Weakness-Opportunities (WO) strategy. MMSL implementation was initiated through the development of SOPs and the entry of 150 priority drug items into the system. Drug stock-outs are caused by multifactorial issues that require systemic intervention. MMSL optimization has the potential to serve as a long-term solution, provided there is expanded coverage, strengthened human resource capacity, and comprehensive system integration.

Amphibian Cessna 172 SP is an aircraft designed to operate in aquatic environments and is frequently exposed to seawater, which is highly corrosive. Such exposure poses a serious issue of corrosion affecting both the structure and components of the aircraft, particularly the floats, lower fuselage, and propeller. Corrosion not only reduces the quality and integrity of the material but also potentially compromises flight safety and increases maintenance costs. This study aims to analyze the causes of corrosion on the Seaplane Amphibian Cessna 172 SP using the fishbone diagram to identify the main contributing factors, including material, method, environment, manpower, and machine. In addition, the 5W+1H approach is employed to examine the problem in greater detail and develop preventive strategies. The results of the analysis indicate that the dominant factors causing corrosion are the high intensity of direct contact with seawater, suboptimal cleaning processes due to limited manpower, and the use of cleaning agents not fully compatible with aircraft materials. Mitigation efforts include implementing more effective cleaning procedures, applying anti-corrosion chemicals such as AeroShell Fluid 41, Bonderite Turco S.S.2, Ardrox AV-15, CorrosionX, Toolmates Dry Film Lubricant 6075, and Ultra Tef-Gel, as well as conducting scheduled inspections at specific intervals. This research is expected to provide more appropriate preventive strategies to extend the service life of the aircraft structure while maintaining both operational safety and efficiency.

The purpose of this research is to use the six sigma approach to assess the quality of cracker manufacturing at UD. Palapa in Nganjuk Regency. This technology was chosen because it allows for quantitative measurement and analysis of product defect levels, as well as the identification of defect-causing variables. The study was carried out using the DMAIC (Define, Measure, Analyze, Improve, Control) steps and statistical methods such as Pareto diagrams, fishbone diagrams, and C-chart control charts. According to the research, the cracker manufacturing process at UD. Palapa has an average sigma value of 2.74, which is still below the six sigma (6σ) threshold.  This figure implies that the product fault rate remains fairly high.  The most common forms of faults are irregular shape and uneven thickness, which are mostly produced by machine, human, process, and raw material problems. C-chart analysis reveals that most processes are still under control, while there are a few spots beyond the control boundaries that indicate unique variances. Based on these data, it is possible to infer that UD. Palapa's quality control system is still reactive and has to be improved in order to be more proactive. Routine equipment maintenance, operator training, the introduction of standard operating procedures (SOP), and more stringent raw material selection are all possible efforts. Six Sigma deployment has been shown to provide a full view of production quality conditions, as well as a foundation for future continuous improvement programs.

This study aims to analyze and improve the quality control of packaging printing production at PT XYZ by applying the Lean Six Sigma methodology. Lean Six Sigma combines waste reduction principles with statistical quality control to achieve operational excellence. The research identifies major production challenges, including high defect rates, overproduction, and ineffective inventory management, all of which contribute to increased costs and reduced efficiency. The DMAIC framework—Define, Measure, Analyze, Improve, and Control—was employed to systematically address these issues. During the Define and Measure phases, types of waste were identified and defect rates were calculated using Defects Per Million Opportunities (DPMO). In the Analyze phase, root causes were examined using a Fishbone (Ishikawa) diagram, highlighting factors related to manpower, materials, machines, and methods. The analysis revealed a sigma level of 3.2, indicating a moderate level of process quality and substantial room for improvement. To address the identified issues, several improvement strategies were proposed. These include implementing a Just-In-Time (JIT) system to reduce inventory waste, adopting the First-In-First-Out (FIFO) inventory method for better material rotation, and conducting targeted technical training for operators to minimize human error. In the Control phase, the study suggests process standardization, routine inspections, and continuous monitoring as key practices to ensure that improvements are sustained over time. The findings and recommendations from this study are expected to contribute to better quality control, reduced operational waste, and enhanced productivity in the packaging printing process. Ultimately, this approach aims to strengthen PT XYZ’s competitiveness in the printing industry by fostering a culture of continuous improvement and quality excellence.

This study aims to analyze the causes of component failure in the Power Train system of unit OHT773E CO2278 at PT. Cipta Kridatama, Samarinda, using the Root Cause Failure Analysis (RCFA) method. The Power Train system is responsible for transferring power from the engine to the final drive and other components, making it critical for the operational success of heavy equipment. Therefore, optimal maintenance is essential to prevent fatal failures that could impact the unit's performance. Based on the analysis, the dominant cause of failure is human factors, particularly technician negligence during component installation. This negligence results from a lack of understanding of the procedures and specifications recommended by the manufacturer, leading to incorrect installation of components. This failure impacts the achievement of the component’s expected lifetime, thus shortening the operational life of the components and increasing the risk of more severe damage. This also leads to higher repair costs and reduced unit productivity, resulting in longer downtime. To address this issue, several preventive measures are recommended, such as regular training for technicians to enhance their understanding of correct procedures and specifications, as well as the importance of following manufacturer guidelines during every maintenance and installation process. Additionally, it is advised to conduct routine discussions between technicians and supervisors to ensure that every maintenance step and installation complies with the established procedures. Increased oversight of the installation and maintenance process is also necessary, along with periodic rejuvenation of components to ensure the optimal performance of the Power Train system. Strengthening Preventive Maintenance (PM) practices is also crucial to minimize future damage potential. Implementing these solutions is expected to enhance the reliability of the Power Train system, extend component lifespan, and reduce failure frequency, ultimately improving the overall efficiency and productivity of the company.