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Overburden stripping operations in the coal mining industry require optimal performance of loading and hauling equipment to achieve production efficiency. This study aims to evaluate the performance of loading and hauling equipment using the Match Factor method in overburden stripping operations at PT Bumi Artlantis Raya. The results indicate that the equipment combination achieved a Match Factor of 0.85, reflecting moderate compatibility with a potential efficiency improvement of 15%. The actual productivity of Excavator 4002 reached 137.02 bcm/hour (91.35% of the 150 bcm/hour target), while Excavator 4004 exceeded the target with a productivity of 195.73 bcm/hour (130.49% of the target). In contrast, dump truck productivity remained relatively low (Mercedes dump truck: 35.58 bcm/hour; Hino dump truck: 35.40 bcm/hour), primarily due to waiting time during loading and disposal activities. Statistical analysis reveals a strong negative correlation between cycle time and productivity (R² = 0.9929). The optimal cycle time to achieve a Match Factor of 0.80 is 969 seconds, corresponding to an optimal hauling distance of 5.38–6.725 km. Although mechanical availability and physical availability were high (94–100%), the use of availability and effective utilization were relatively low due to an imbalance between loading and hauling equipment. This study concludes that improving equipment coordination, increasing bucket fill factor, enhancing haul road conditions, and implementing preventive maintenance are essential to achieving more optimal operational efficiency in overburden stripping activities.

Food-based micro, small, and medium enterprises (MSMEs) play a crucial role in supporting household economic growth, including in Sialang Village, Bangkinang Subdistrict. One of the local businesses, “Keripik Cabe dan Mie Kuning Bu Inun,” produces cassava chips using traditional frying methods, which result in high oil absorption, inconsistent quality, short shelf life, and low production efficiency. Limited knowledge of food processing technology, sanitation, and food safety standards further hinders business development. This community service program aims to address these challenges through the application of low-oil frying technology, training on Good Manufacturing Practices (GMP), production assistance, and periodic evaluation. The implementation method includes field observation, technical training, technology demonstration, production mentoring, and monitoring. The results show significant improvements in product quality, indicated by lower oil content, crispier texture, brighter color, and longer shelf life. Efficiency in oil usage and process stability also increased. Moreover, the knowledge and skills of MSME actors in sanitation, food safety, and production management improved considerably. Overall, the program successfully enhanced the competitiveness of the MSME, strengthened production sustainability, and provided positive economic impacts. This initiative can serve as a replicable model for other food MSMEs facing similar challenges.

This community service activity aims to enhance supply chain efficiency and expand market access for Micro, Small, and Medium Enterprises (MSMEs) in Wabula Satu Village, Buton Regency, Southeast Sulawesi. The main problems faced by MSMEs include inefficient supply chain management, limited production coordination, and low utilization of digital technology for product marketing. The program was implemented using an educational-participatory approach through a series of training sessions, simulations, and mentoring activities. The results revealed significant improvements in participants’ understanding of supply chain management, production efficiency, and digital marketing skills, particularly through social media and marketplace platforms. MSMEs also showed progress in branding and product packaging, while collaborative networks were established to support collective raw material procurement and joint distribution. This program has contributed to improving local business competitiveness, productivity, and sustainability. Moreover, it demonstrates an effective community empowerment model based on technology adoption and collaboration to strengthen village economic resilience in the digital era.

This community service activity aims to enhance supply chain efficiency and expand market access for Micro, Small, and Medium Enterprises (MSMEs) in Wabula Satu Village, Buton Regency, Southeast Sulawesi. The main problems faced by MSMEs include inefficient supply chain management, limited production coordination, and low utilization of digital technology for product marketing. The program was implemented using an educational-participatory approach through a series of training sessions, simulations, and mentoring activities. The results revealed significant improvements in participants’ understanding of supply chain management, production efficiency, and digital marketing skills, particularly through social media and marketplace platforms. MSMEs also showed progress in branding and product packaging, while collaborative networks were established to support collective raw material procurement and joint distribution. This program has contributed to improving local business competitiveness, productivity, and sustainability. Moreover, it demonstrates an effective community empowerment model based on technology adoption and collaboration to strengthen village economic resilience in the digital era.

The advancement of digital technology has had a significant impact on broadcasting production systems, including at Radio Republik Indonesia (RRI) Banten. This study aims to examine the performance of the vMix Pro application in improving production efficiency and the quality of digital broadcast programs at RRI Banten. The research employed a descriptive qualitative method, with data collected through field observations, interviews with broadcast technicians, and literature studies. The results indicate that the implementation of vMix Pro increased production time efficiency by 50%, reduced operational costs by 40%, and decreased the number of required technical operators from five to three. In terms of quality, both video and audio outputs showed improvement, achieving an average score above 4.6 on a 5-point scale, reflecting more stable, clear, and professional broadcasts. With its user-friendly interface and high device integration capability, vMix Pro has proven effective in streamlining workflows, optimizing resource utilization, and enhancing the overall production quality of broadcasts at RRI Banten

This study aims to analyze work time efficiency and determine standard time in the furniture production process at CV. JM Putra using the Time and Motion Study method. The background of this study stems from the problem of low production time efficiency due to suboptimal work methods, ineffective work area layout, and a lack of systematic work time measurement. The research was conducted quantitatively and descriptively through direct observation, interviews, and time measurements using a stopwatch for the table production process, which consisted of five main activities. The results showed that the average total cycle time for one table unit was 347.25 minutes, with the activity of assembling the table frame being the longest activity at 120.13 minutes or about 34.6% of the total working time. After performance assessment and the addition of a 15.5% allowance factor, the standard time was obtained at 129.03 minutes. These results indicate that the activity of assembling the table frame is the most critical point that affects production efficiency. The implications of this study show the importance of improving work methods, area layout, and operator training to increase labor productivity. The application of standard time measurement results can be used as a basis for setting work standards, production capacity planning, and a more objective labor incentive system.

This research aims to examine the impact of integrating cleaner production practices with green supply chain technologies as a comprehensive approach to achieving environmental sustainability. The study highlights that cleaner production and green supply chain management represent advanced, innovative strategies that have emerged as a response to the growing environmental challenges caused by the rapid expansion and diversification of industrial activities. These technologies are not only environmentally oriented but also carry significant economic implications for organizations. The findings emphasize that adopting cleaner production involves minimizing waste generation, improving production efficiency, and ensuring that processes are designed to have minimal adverse effects on the environment. On the other hand, green supply chain technologies focus on integrating environmental thinking into every stage of the supply chain—ranging from product design, material sourcing, and manufacturing processes to logistics, product delivery, and end-of-life management. The study concludes that the synergy between these two approaches provides multiple benefits. From an environmental perspective, they contribute to reducing carbon emissions, particularly from fuel-powered machinery and transportation systems. They also promote the rational use of resources, including energy, water, and raw materials, thereby helping to preserve natural resources for future generations. From an economic perspective, their implementation leads to reduced operational costs by enhancing efficiency, decreasing waste disposal expenses, and optimizing resource usage. Furthermore, the integration of cleaner production and green supply chain technologies supports compliance with environmental regulations and enhances the corporate image of economic units, enabling them to gain competitive advantages in increasingly eco-conscious markets. Overall, the research affirms that these practices are essential tools for confronting and mitigating the environmental pollution challenges of modern industries, while simultaneously fostering sustainable economic growth and long-term environmental protection.

This study aims to examine the role of life cycle and bio-accounting in achieving sustainable broiler chicken production and to analyze whether environmental intelligence moderates these relationships. The life cycle approach is viewed as a comprehensive method for assessing resource efficiency, waste management, and environmental impacts throughout each stage of broiler production. Bio-accounting serves as a tool to measure and record biological aspects affecting livestock performance, feed consumption, emissions, and production efficiency. A quantitative method was employed through surveys distributed to small- and medium-scale broiler farmers. The results indicate that both life cycle and bio-accounting have a positive and significant effect on sustainable broiler production. Moreover, smart environmental strengthens these effects, as farmers with higher levels of environmental intelligence are better able to utilize bio-accounting information and life cycle assessments to manage resources efficiently and reduce environmental impacts. These findings highlight the importance of integrating life cycle analysis, bio-accounting practices, and environmental intelligence to enhance the sustainability of broiler production.

This study analyzes failures in the bending machine at PT. XYZ and determines maintenance priorities to reduce downtime and improve production efficiency. The company often faces repeated breakdowns, especially in hydraulic and control components, which negatively impact productivity. To address these issues, the research applies Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The study employs a descriptive qualitative approach using downtime and repair data from September 2024 to February 2025. FMEA was conducted to identify failure modes, effects, and causes, and to calculate the Risk Priority Number (RPN) as a basis for prioritization. FTA was then applied to trace root causes by mapping logical relationships among contributing factors leading to the top event. Recommendations were formulated with the 5W+1H method to propose preventive maintenance actions. The results indicate that the hydraulic valve is the most critical component, with an RPN value of 504 due to oil contamination. The main causes include damaged filters, improper oil usage, and lack of a cooling system. The hydraulic cylinder seal and back gauge were also found to contribute significantly to machine failures. FTA analysis revealed root causes such as inadequate maintenance procedures, unsuitable materials, and insufficient inspections. The proposed improvements involve regular replacement of oil filters, structured lubrication schedules, installation of oil coolers, and technician training to strengthen compliance with standard procedures. Overall, the integration of FMEA and FTA provides a systematic approach to identify critical components and root causes, enabling PT. XYZ to implement preventive strategies that minimize failures, reduce downtime, and improve bending machine performance sustainably.

This community service program aims to enhance entrepreneurial competence and creativity among vocational high school (SMK) students at Yayasan Al Kahfi  through a culinary business development and mentoring program. The activities focus on two key components: (1) operational business mentoring emphasizing basic food safety and production efficiency, and (2) a digital marketing workshop that trains students to create short promotional content for social media platforms. The study employs a qualitative descriptive approach through participatory observation, in-depth interviews, and documentation. The results indicate a significant improvement in students’ understanding of food safety principles, culinary product innovation, and creative digital marketing skills. Furthermore, the program encourages students to develop an adaptive entrepreneurial mindset aligned with technological and market changes in the digital era. Collaboration between lecturers, vocational teachers, and students plays a crucial role in ensuring program sustainability and integrating the outcomes into the entrepreneurship curriculum. Overall, this program contributes to nurturing a generation of vocational youth who are independent, innovative, and ready to become entrepreneurs in the digital economy.

Processing coconut into copra is an important strategy to increase value added and farmers’ income in rural areas. However, traditional copra processing businesses often face problems such as price fluctuations, high production costs, and limited understanding of business feasibility analysis. This study aims to analyze the value added and business feasibility of copra processing in Bone Regency, specifically in Tellusiattinge District, Ulo Village. The study was conducted from September to October 2025 using a descriptive method with qualitative and quantitative approaches. The research population consisted of 15 copra processing entrepreneurs, all of whom were selected as respondents using a census technique. Data were collected through interviews, observation, and documentation. Data analysis included production cost analysis, income analysis, value added analysis using the Hayami method, and business feasibility analysis using the Revenue Cost Ratio. The results showed that the average value added from processing coconut into copra was Rp2,100 per kilogram with a value added ratio of 37.5 percent, which falls into the medium category. The average Revenue Cost Ratio of 1.35 indicates that the copra processing business is feasible and profitable to operate. The findings imply that copra processing has the potential to increase farmers’ income and rural economic development, therefore requiring support in improving production efficiency and adopting better processing technologies to enhance value added.

In the modern industrial world, robots like mechanical arms in automotive factories or packaging lines must move quickly and safely. For this, a real-time operating sistem (RTOS) is needed—think of it as a "super-fast brain" that ensures the robot reacts instantly to commands, without delays or errors. This paper analyzes popular RTOS like FreeRTOS and VxWorks for controlling industrial robots, focusing on evaluating performance (speed of operation) and stability (long-term reliability). We conducted tests in a lab using a simple robot that moves its arm to pick up objects. Performance was measured by response time (how quickly the robot stops when encountering an obstacle, ideally under 10 milliseconds) and throughput (how many tasks it can complete per second). Stability was checked through simulations of disruptions, like heavy loads or interfered sensor signals, using metrics such as error rate and time variation (jitter). Results show that FreeRTOS is more efficient for small, affordable robots, with high performance (average response time of 4 ms) but moderate stability (5-10% errors during overload). In contrast, VxWorks excels in stability (errors <2%, stable for up to 95% of tasks on time) for large factory robots, though it requires stronger hardware. Our analysis uses simple models like graphs and repeated tests, without complex formulas, to prove that the right RTOS can boost production efficiency by up to 25% and reduce accident risks.

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 community service activity stems from a core challenge faced by Micro, Small, and Medium Enterprises (MSMEs) in Semarang City: the difficulty in consistently producing high-quality promotional visual content, primarily due to budget constraints and the lack of professional design skills. This condition severely hampers their competitiveness in the digital marketplace. The main goal of this activity was to enhance the technical capability of MSME participants in using Gemini AI as a multimodal model to generate professional, ready-to-use visual assets, thereby achieving significant cost and time production efficiency. The solution offered was a hands-on training focusing on Prompt Engineering defined as the art of formulating detailed commands to control the AI's output. The activity was conducted through an intensive workshop and case study mentorship for 25 MSME actors. The evaluation results demonstrated a highly significant increase in competence. The participants' average cognitive score drastically rose from 48.5% on the pre-test to 87.9% on the post-test, proving the successful mastery of Prompt Engineering. Applied results showed that participants were able to produce product visual assets with an average quality of 87.5%. Participant satisfaction reached 95.0%, especially concerning the indicators of cost and time efficiency. This activity successfully democratized design, empowering MSMEs to be self-sufficient in content production, and tangibly strengthening their brand identity and competitiveness across digital platforms.

Waste candlenut shells are one type of biomass that has significant potential to be developed as an alternative energy source, particularly in the form of briquettes. Candlenut shells, which are typically discarded as agricultural waste, contain combustible material that can be transformed into solid fuel. However, the traditional briquette molding process is still done manually, which is time-consuming, inefficient, and often results in inconsistent briquette shapes and density. This study aims to design and develop a briquette molding machine specifically for processing candlenut shell waste, with the goal of improving both production efficiency and the quality of the briquettes produced. The research methodology includes several stages: mechanical design, selection of appropriate materials, fabrication of machine components, assembly, and performance testing of the machine. The resulting machine utilizes a screw conveyor compression system powered by a 5.5 HP petrol engine. It features a cylindrical mold with a 40 mm diameter to shape the briquettes uniformly. During the performance test, the machine demonstrated a maximum production capacity of 14.3 kg per hour, with an average processing time of 24 minutes and a briquette yield reaching up to 85%. The findings indicate that the machine can significantly streamline the briquette production process while maintaining product consistency and quality. This briquette molding machine is particularly suitable for household and small-scale industries aiming to utilize renewable energy sources and reduce dependency on fossil fuels. The use of this machine also supports environmental sustainability by converting agricultural waste into a usable energy product.  

This study aims to analyze various sustainable food processing innovations that contribute to improving public health in Indonesia. The research was conducted through a literature review of 13 scientific articles published between 2015 and 2025 that discussed aspects of nutritional innovation, environmentally friendly processing technology, social empowerment, and food waste management. The analysis results indicate that the use of local food ingredients such as moringa leaves, snakehead fish, and soybeans plays a significant role in improving nutritional literacy, preventing stunting, and strengthening family food security. Meanwhile, the application of appropriate technologies such as oil draining machines, energy-efficient dryers, and waste processing into organic fertilizer contributes to production efficiency and reduced environmental impact. Furthermore, social innovation through the empowerment of MSMEs and women's groups can strengthen the local economy and foster environmental awareness. Thus, the synergy between nutritional, technological, and social innovations forms the basis for developing a healthy and sustainable food system to support the achievement of SDGs 2 and 3 in Indonesia.  

In the automotive manufacturing industry, efficiency in quality control is a crucial factor to ensure consistent product quality. Conventional Quality Assurance (QA) processes using manual record-keeping often face challenges such as delayed reporting, human errors, and difficulty in tracking historical data. This study aims to design and implement a QA performance dashboard based on digital forms at PT Dharma Polimetal, Tbk, to enhance efficiency in production quality control. The research methodology includes direct field observation, collection of production and QA data, mapping of QA process flows, interactive dashboard interface design, and system trial implementation. The designed dashboard focuses on four main aspects: QA Incoming, QC Line, QC Gate, and Customer Handling, each containing measurable performance indicators and quality parameters. Initial implementation results indicate significant improvements in QA process monitoring, faster reporting of inspection results, and easier real-time data access for both production teams and management. The system enables early detection of potential quality issues, supports rapid decision-making, and facilitates internal and external audits. Moreover, the use of digital forms within the dashboard enhances data accuracy, minimizes human error, and creates structured historical records for long-term analysis. This study provides a tangible contribution to the digitalization of QA systems, strengthening sustainable quality control practices in the automotive industry, thereby ensuring consistent productivity and product quality.

In manufacturing industries, machining processes play a critical role in ensuring product quality, precision, and production efficiency. However, in the production of swing arm parts, the machining process has been identified as a bottleneck due to its non-optimal cycle time. One of the main issues contributing to this inefficiency is the disorganized handling of circlip inner parts. These components are often scattered without a designated placement system, which creates significant difficulties for operators when retrieving and installing circlips onto the swing arm. Such abnormalities disrupt workflow continuity, extend production time, and reduce overall productivity. To address this challenge, a circlip feeder machine was designed as a supporting device to assist operators and streamline the machining process. The design emphasizes efficiency, integration, and systematic operation by utilizing readily available workshop materials. The developed feeder machine is equipped with a robust frame construction and has a storage dimension capable of accommodating up to 200 circlips. In addition, mechanical analysis demonstrates that the feeder structure can withstand a maximum applied force of 31,475 N, ensuring durability and reliability during operation. The introduction of this circlip feeder machine directly impacts the production process by reducing operator workload, minimizing delays caused by disorganized parts, and ensuring faster and more accurate installation of circlips. Consequently, the overall machining cycle time is shortened, thereby improving production flow and enhancing the efficiency of swing arm part manufacturing. Beyond immediate time savings, the use of the feeder machine contributes to better resource utilization, reduced ergonomic strain on operators, and improved consistency in product quality. This study highlights the significance of simple yet effective mechanical innovations in overcoming production bottlenecks and optimizing manufacturing processes in automotive component industries.

The production process of graphite glass at ABC faces challenges in the form of waste that has an impact on low operational efficiency. Waste in production activities can affect the quality, cost, and timeliness of product completion. This study aims to identify the most dominant types of waste and provide relevant improvement recommendations to improve production efficiency. The method used is Value Stream Mapping (VSM), a visual approach that maps the flow of the production process from raw materials to final products. The research stage is carried out through direct observation on the production floor, time study, interviews with employees, and documentation of production activities. The results of the analysis show that the most dominant form of waste is overprocessing, which is a repetitive activity that does not add value to the product. This causes longer production cycle times and reduces the effectiveness of resource use. To overcome this, this study provides several recommendations, including: combining production processes that have similar functions, redesigning workflows to make them more concise, and eliminating activities that do not provide added value. The implementation of this improvement has proven to be effective by increasing the Process Cycle Efficiency (PCE) value from 45% to 67%. The increase in PCE reflects that the production process has become more efficient, the workflow is smoother, and the rate of waste has decreased significantly. In addition, the results of this study also confirm that the application of the VSM method can be a strategic solution in identifying sources of inefficiency, designing continuous improvements, and increasing the competitiveness of companies. Thus, the company is expected to continue to evaluate, control, innovate, and improve technology so that efficiency achievements can be maintained, expanded, and improved consistently and sustainably in the future.

This study aims to analyze the effect of variations in screw conveyor speed and cutting blade on an automatic meatball molding machine in producing meatballs weighing between 15 and 20 grams. The research method used a design of experiments (DOE) approach with a factorial design, followed by a two-way ANOVA analysis to test the effect of each factor and their interactions. The screw conveyor speed variations used were 160 RPM, 140 RPM, and 124 RPM, while the cutting blade speed was varied at 224 RPM, 186 RPM, and 160 RPM. The speed variations were obtained by adjusting the pulley ratio on the machine. The testing process was carried out by molding meatballs using a combination of these speed variations, then boiling them until they float to ensure doneness. After that, the mass of each meatball was weighed with a precision scale. The weighing data were processed using Microsoft Excel and Minitab 21 software to obtain accurate statistical analysis. The results showed that increasing the screw conveyor speed tended to increase the meatball mass, while increasing the cutting blade speed actually decreased the mass of the meatballs produced. The interaction between screw conveyor speed and cutting knife speed was statistically significant with a p-value ≤ 0.05, indicating that the combination of the two plays an important role in determining the final meatball mass. Through Response Optimization analysis, the most optimal combination for producing meatballs with a mass in the range of 15–20 grams is a screw conveyor speed of 124 RPM and a cutting knife speed of 160 RPM. This setting can be achieved by using pulleys with diameters of 114.3 mm (4.5 inches) and 88.9 mm (3.5 inches). These findings are expected to be a reference for meatball industry players, especially MSMEs, in increasing production efficiency and maintaining product size consistency.