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The rapid advancement of information technology has encouraged business actors to adopt digital transformation; this situation is also experienced by Pabrik Tahu Macanan, a small scale tofu factory in Magelang that still relies on manual systems in operation. This  study aims to analyze the implementation of management information systems in supporting digital transformation and risk management at Pabrik Tahu Macanan; a descriptive qualitative approach was applied, using interviews, observations, and documentation as date collection methods. The findings reveal that digital information systems have the potential to improve efficiency, recording accuracy, and internal control; however, their implementation remains limited due to human resource constraints and low adaptability to new technologies. The research also found that simple risk management practices such as regular machine maintenance and manual bookkeeping remain effective in maintaining business stability. The implication of this study indicates that a gradual implementation of digital based information systems, supported by training and supervision, can serve as a strategic step to enhance competitiveness, operational efficiency, and sustainability for traditional SMEs like Pabrik Tahu Macanan.

PT. YGI, an automotive manufacturing company, uses the Press Injection GB-36 machine in its production process. However, this machine frequently experiences failures, causing high downtime and reduced production efficiency. This study aims to identify the types of failures, determine the most critical components, and propose a maintenance system using the Reliability Centered Maintenance (RCM) approach. The method used is descriptive qualitative, involving FMEA (Failure Mode and Effect Analysis), Logic Tree Analysis (LTA), and maintenance action selection. Data were collected through observations, historical failure documentation, and interviews. The analysis results indicate that components such as the injection nozzle, heating, and clamping are the most critical, contributing over 80% of total failures based on Pareto analysis and the highest RPN values in FMEA. Proposed maintenance actions include Condition Directed and Time Directed approaches. Additionally, the maintenance system is supplemented with standard operating procedures (SOP) and routine inspection schedules to improve machine reliability and reduce production downtime. This study is expected to enhance the efficiency and productivity of the Press Injection GB-36 machine at PT. YGI through the appropriate implementation of RCM.

This research aims to identify potential hazards and assess the level of fire risk in a textile company located in Sukoharjo Regency using the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method. The research background is based on the high fire hazard potential in the textile industry due to the use of flammable chemicals, high operating temperatures, and the accumulation of combustible fibers and textile dust. A descriptive research approach was applied through field observations, interviews with workers and the OHS team, and technical document analysis. The results showed that the highest risk levels were found in the dyeing process, electrical panel room, and machine maintenance activities (welding/repair), with risk scores reaching 20 (high category). The main contributing factors included non-standard electrical installations, poor ventilation, and unsafe work behavior. Risk control strategies are recommended through technical, administrative, and behavioral approaches, including smoke detection systems, routine evacuation training, and the reinforcement of safety culture. The implementation of these measures is expected to improve the effectiveness of occupational health and safety management systems and reduce the potential for fire incidents in the textile industry.

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

This The maintenance objectives of a C6240A-type lathe involve a number of crucial aspects, including gears, tool bits, toolposts, lower sled and upper sled. This study was to investigate effective maintenance strategies for each of these components, focusing on preventive and predictive maintenance. Gears: Regular lubrication is also necessary to ensure smooth gear movement and prevent excessive friction that could lead to failure. Chisel Bits: Monitoring the condition of the tool blade needs to be done regularly. Toolpost: The toolpost needs to be checked periodically to ensure availability and safety of the cutting tool. Bottom and Top Slings: Maintenance of the lower and upper slings involves checking for tension and wear. C6240A type lathe users can minimize the risk of failure, improve operational efficiency, and extend the life of the machine. The method used in this research is a qualitative method, by means of observation and interviews. The results of this study are that the gears can be more durable because lubrication is always given and not easily thirsty, the tool blade is not easily blunted because the workpiece is fed little by little, and frequent honing is done to keep it sharp. The locking toolpost is not easily damaged if you use a rubber hammer when locking, the bottom row makes a change of ashock so that it can do automatic turning. This maintenance can increase the life of the lathe for longer operation.

The Ripple Mill machine is one of the vital components in a Palm Oil Mill (PKS) that functions to separate the palm kernel from its shell. This process is very important because the quality and quantity of the palm kernel produced will directly affect the economic value and production efficiency in the palm oil industry. At PTPN IV Regional II Plantation Unit and Adolina PKS, various technical problems were found that caused a decrease in machine performance, including rotor bars and square bars that experienced wear due to age and improper machine settings. In addition, other damage that often occurs is a broken van belt due to age and excessive tension, feeder motor dysfunction caused by excessive load, and motor overheating that occurs due to age and high workload. To overcome these problems, this study uses the Failure Mode and Effect Analysis (FMEA) method. This method aims to identify various potential failures, assess the severity, frequency of occurrence, and detection capability, so that the Risk Priority Number (RPN) value can be calculated as a basis for repair priorities. The results showed that worn rotor bars and worn square bars had the highest RPN values, each at 280, equivalent to 40.23% of the total identified risks. This indicates that these two components are critical points requiring immediate repair and maintenance attention. Applying FMEA in this context provides tangible benefits, including helping the company formulate a more targeted maintenance strategy, reducing the risk of recurring damage, and minimizing downtime that impacts production. With more systematic maintenance, operational efficiency can be improved while extending the lifespan of the Ripple Mill machine.

Operational efficiency and product quality are crucial for enhancing the competitiveness of MSMEs in the era of globalization and digital transformation. This study explores the application of Six Sigma to reduce product defects at MSME X, a footwear manufacturer in Bandung. Using a quantitative approach with interviews, documentation, and observation, the research applied the DMAIC (Define, Measure, Analyze, Improve, Control) framework to identify and address quality issues. Key defects included joint cracks, under-fill, and press marks. Analysis using Pareto charts and cause-and-effect diagrams revealed root causes such as inadequate operator training, inconsistent raw materials, and irregular machine maintenance. To address these, the company implemented retraining programs, improved standard operating procedures, and adopted digital monitoring systems. As a result, the defect rate was reduced by 40%, and the sigma level improved from 3.9 to 4.45. The study confirms that Six Sigma can significantly enhance both product quality and operational performance. These findings offer valuable insights for other MSMEs aiming to adopt structured quality improvement methods to remain competitive in the global market.

The home industry partner for the tofu business is located in Kalidoh Langensari Barat Village, Ungaran Barat District, Semarang Regency. The partner's obstacle is the failure to meet the increasing market demand. This obstacle is caused because the production process is still carried out manually or traditionally so that tofu production is limited to human power. The right solution offered through this community service is the application of process technology in the form of a soybean grinding machine with a rotary system to increase tofu productivity. The purpose of this community service is to make an electric soybean grinding machine, apply a rotary grinding machine to the tofu production process, and conduct evaluation and assistance to maintain the sustainability of the program. The initial stage carried out in this service consists of planning and making the machine. Planning is based on market needs and partner conditions related to the provision of electrical energy. The design results are made through machine work in the Mechanical Department workshop. The next stage is the application of the machine including assembly and installation of the machine at the partner's location, as well as operational training and machine maintenance. The final stage of the service is evaluation and assistance. Evaluation is carried out by directly assessing the partner's operational practices on the machine that has been assisted. The assistance provided includes supervision, work control, and direction when the partner produces tofu using the production machine. It is expected that the rotary soybean grinding machine can increase the production of partner tofu.

Osha Snack UMKM faces issues related to product defects, which are suspected to arise due to a lack of quality control in the production process. This study aims to identify the causes of product defects, provide improvement suggestions, and determine effective ways to control product quality. Data were collected through interviews with relevant parties and field surveys to gather information on production volume, product defects, and production activities. The data were processed by organizing it into check sheets, performing regression calculations, and analyzing it using scatter diagrams and fishbone analysis. The Statistical Process Control (SPC) method was applied to analyze, control, and improve the production process. The results show a significant relationship between production volume and the number of defective products, with the regression equation Y = 0.0764X and a coefficient of determination R² = 0.9625. The most common type of defect is broken snacks before packaging. In addition, waste products also come from product returns by buyers, which leads to raw material waste and hinders the achievement of production targets. The analysis results suggest that the UMKM should implement quality control measures in the form of process improvements, enhancement of work skills, proper machine maintenance, implementation of SOPs, and improvement of working conditions.

This study aims to analyze the causes of bottlenecks in lip balm production at PT Rumah Rumput Laut by using a survey approach and fishbone diagram analysis method. The research method used is a descriptive method with survey approach which was conducted at PT Rumah Rumput Laut, Bogor Regency, West Java. Data were collected through observations and interviews with related parties in the production process based on previously identified problems. A fishbone diagram was used to identify the factors causing bottlenecks, which were grouped into six main categories, namely: manpower, machine, method, material, measurement, and environment. The results of the fishbone diagram analysis show that bottlenecks in lip balm production are caused by the irregular flow of material transfer, long waiting time for the quality control process, and limited production capacity. To overcome this problem, it is necessary to improve the operator supervision system, implement a regular machine maintenance schedule, rearrange the production space layout, and use technology to monitor machine conditions in real time.

Occupational Health and Safety (OHS) is a crucial aspect of the textile industry to ensure worker protection and maintain smooth production processes. This study aims to identify and analyze potential occupational accident risks in the sizing machine process. The methods used in this research are Job Safety Analysis (JSA) and Risk Assessment to evaluate workplace hazards that may disrupt operations. The results indicate several major risks in the sizing process, including mechanical hazards due to direct contact with machines, ergonomic hazards caused by improper working postures, and chemical hazards from exposure to cotton dust and sizing solution vapors. The main risk factors include human aspects, the work environment, and machinery. The recommended improvements in this study include enhancing work supervision and control, providing safety training for workers, optimizing workplace ergonomics, and conducting regular machine maintenance to reduce accident risks. The proper implementation of safety strategies is expected to improve production efficiency and create a safer and more conducive work environment.

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.

PT. Dian Swastatika Sentosa generates electricity through a private thermal power plant. This company produces steam and electricity for paper mills. The company hopes to meet its steam and electricity needs in 2023 with a boiler with a load capacity of 180 tons and a maximum capacity of 220 tons. However, from February to July 2023, that goal was not achieved. The most common problems faced by this company are the failure to conduct preventive inspections and timely machine maintenance, as well as the failure to carry out necessary repairs. Delays in machine repairs, which result in inconsistent machine downtime schedules to meet customer demand, leading to damage to boiler equipment, causing abnormal boiler operation and reduced steam production. This research aims to design equipment to withstand operational impacts using failure mode and effects analysis (FMEA) with the Soft Systems Methodology (SSM) and reliability-centered maintenance (RCM) techniques. The RCM method assists in identifying the processes that must be followed to guarantee that a machine or system performs as intended. RCM can also be used to design, choose, and create alternative maintenance methods that are focused on safety, operations, standards, and economics. For the entire problem in the investigation, a dynamic model is necessary. An analytical system is used in this model in order to recognize and duplicate the features of the overall system., as well as to provide repair solutions and address the burden of the problem. This research produces a presentation in the form of problem identification, causal loops, diagrams of machines that frequently experience failures, rich images of the causes and effects of the ball plate crusher liner damage, root cause definitions, and conceptual models for repair and maintenance. business productivity and debating process. 

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.