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The rapid development of the smart city concept encourages the need for energy management that is more efficient, sustainable and adaptive to the needs of modern urban communities. In this context, renewable energy is the main solution to reduce dependence on fossil energy sources that are limited and pollute the environment. This research aims to optimize the utilization of renewable energy in smart cities by integrating Big Data technology and Decision Support Systems (DSS). The approach used in this research is a case study and system modeling method, which involves collecting energy data from various sources such as IoT sensors, weather stations, and energy distribution systems in real-time. The data is then analyzed using Big Data Analytics techniques to identify energy consumption patterns, potential renewable energy production, and peak load predictions. Furthermore, a decision support system was designed to assist policy makers and city managers in determining optimal energy distribution and usage strategies based on the available data and simulations. The results show that the integration of Big Data and DSS is able to increase the efficiency of renewable energy utilization up to 25% compared to conventional systems. In addition, the system is also able to dynamically respond to changing conditions and provide more accurate and adaptive decision recommendations. These findings indicate that the synergy between data technology and decision support systems plays a strategic role in creating sustainable and environmentally sound smart cities.

The production of pharmaceutical sterile products requires strict procedures to minimize the risk of microbial, particulate and pyrogen contamination that can be harmful to the user's health. The selection of the right sterilization method is the key to achieving the desired stability of the final product. Filtration sterilization is one of the oldest methods used for pharmaceutical sterile products. There are two types of feed flow in the method, namely through flow filtration and tangential flow filtration. This review article is prepared through literature search and download of national or international journals with inclusion or exclusion criteria that have been set. Literature sources are accessed online from various sites such as Google Scholar and Pubmed in the range of 2014-2024. The keywords used for journal searches are sterilization, through flow filtration, and tangential flow filtration. This review article reviews and compares the two methods to understand the differences, mechanism of action, and research objectives based on the review article on membrane filtration sterilization. This review aims to provide a better insight into the advantages and disadvantages of each membrane filtration sterilization method, as well as guidance in choosing the appropriate method based on the characteristics of the product to be sterilized. The results showed that through flow filtration is more commonly used in small volume and batch processes because of its simple design, but has limitations in reducing membrane fouling. In contrast, tangential flow filtration allows for continuous processing of larger volumes, with the advantage of minimizing particle build-up on the membrane surface, thus extending membrane life. The choice of method is also influenced by factors such as particle size, viscosity of the solution, sensitivity to heat, as well as operating costs. An in-depth understanding of the Working Principle and application of each method is essential for the pharmaceutical industry to ensure the quality, safety and efficiency of the production process. Thus, this review is expected to be a reference for researchers and practitioners in determining the optimal filtration sterilization strategy according to product needs.

This study aims to evaluate the effectiveness of current asset management, specifically cash, receivables, and inventory, and its impact on a company's ability to generate profits. The study focused on companies in the automotive sector listed on the Indonesia Stock Exchange (IDX) from 2020 to 2023. The research approach used a quantitative method with secondary data sourced from annual financial reports. The study sample included 11 companies, resulting in a total of 44 observational data sets over four years. Data analysis was performed using SPSS version 25 software to examine the relationships and influences between the study variables. The test results showed that cash management did not significantly influence profitability. This indicates that the amount of available cash does not always correlate with profit, possibly because cash funds are not optimally utilized in productive activities. Conversely, receivables management showed a negative correlation with profitability. This finding suggests that high receivables can burden cash flow and reduce a company's ability to generate profits. Meanwhile, inventory management has a positive and significant impact on profitability, indicating that good inventory control can support smooth production and sales, thereby increasing profits. Together, these three variables explained 68.4% of the variation in company profitability, while the remaining 31.6% was influenced by factors outside the model, such as operational efficiency, cost structure, and marketing strategy. These findings provide insights for automotive company management to prioritize inventory management and review cash and receivables policies to optimize financial performance.

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.

This community service activity was conducted in Sawahan Hamlet, Mojotengah Village, Kedu District, Temanggung Regency, with the primary objective of enhancing the health and productivity of sheep through the introduction and production of mineral block molasses as supplementary feed. Mineral block molasses is a nutrient-rich feed supplement designed to meet the mineral requirements of ruminants, particularly sheep, which are often not fully met by conventional forage. The program was implemented using a participatory method, beginning with a lecture session that provided theoretical knowledge regarding the benefits, composition, and formulation of mineral block molasses. This was followed by an interactive discussion session in which participants, mainly local sheep farmers, were encouraged to share challenges and constraints they face in livestock feeding management. The facilitators then provided practical problem-solving approaches tailored to the local context. The final stage involved a hands-on demonstration of the step-by-step process of producing mineral block molasses, enabling participants to observe and practice directly. The results of this activity showed that participants not only gained new knowledge about the nutritional importance of mineral supplementation but also developed the practical skills necessary to independently produce mineral block molasses for their livestock. This is expected to improve feed efficiency, promote better animal health, and increase livestock productivity. Furthermore, the activity fostered community awareness of sustainable livestock management practices and the economic benefits of producing feed supplements locally. In conclusion, this program successfully empowered the local farming community with both theoretical and practical competencies in mineral block molasses production, contributing to improved livestock performance and farmer welfare. The continuation of such initiatives is recommended to ensure long-term adoption and optimization of livestock feeding practices in the region.

This community service activity was conducted in Sawahan Hamlet, Mojotengah Village, Kedu District, Temanggung Regency, with the primary objective of enhancing the health and productivity of sheep through the introduction and production of mineral block molasses as supplementary feed. Mineral block molasses is a nutrient-rich feed supplement designed to meet the mineral requirements of ruminants, particularly sheep, which are often not fully met by conventional forage. The program was implemented using a participatory method, beginning with a lecture session that provided theoretical knowledge regarding the benefits, composition, and formulation of mineral block molasses. This was followed by an interactive discussion session in which participants, mainly local sheep farmers, were encouraged to share challenges and constraints they face in livestock feeding management. The facilitators then provided practical problem-solving approaches tailored to the local context. The final stage involved a hands-on demonstration of the step-by-step process of producing mineral block molasses, enabling participants to observe and practice directly. The results of this activity showed that participants not only gained new knowledge about the nutritional importance of mineral supplementation but also developed the practical skills necessary to independently produce mineral block molasses for their livestock. This is expected to improve feed efficiency, promote better animal health, and increase livestock productivity. Furthermore, the activity fostered community awareness of sustainable livestock management practices and the economic benefits of producing feed supplements locally. In conclusion, this program successfully empowered the local farming community with both theoretical and practical competencies in mineral block molasses production, contributing to improved livestock performance and farmer welfare. The continuation of such initiatives is recommended to ensure long-term adoption and optimization of livestock feeding practices in the region.

This study aims to evaluate the financial performance of PT Akasha Wira International Tbk during the period 2022 to 2024 using profitability ratio analysis. The ratios analyzed include Return on Assets (ROA), Return on Equity (ROE), Gross Profit Margin (GPM), Operating Profit Margin (OPM), and Net Profit Margin (NPM). The data used is sourced from official financial statements published through the Indonesia Stock Exchange website. Based on the results of the analysis, the company's financial performance is generally relatively good and shows stability over the past three years. This is reflected in the consistency of the profitability ratio which is at a favorable level, indicating the effectiveness of the company in managing assets, its own capital, production costs, and operational activities. Further analysis shows that the Return on Assets and Return on Equity show a stable trend with a slight increase, which indicates efficiency in asset utilization and capital management. Gross Profit Margin and Operating Profit Margin also show positive trends, indicating efficiency in managing production costs and operational activities. Net Profit Margin, although slightly volatile, remains within a range that reflects good profitability. In addition, the results of this evaluation also indicate that the company has the ability to adapt to market changes and dynamic economic conditions. The ability to maintain profit margins in the midst of economic fluctuations shows the resilience of the business model and operational strategy applied. These findings provide an idea that PT Akasha Wira International Tbk has been able to maintain a healthy performance despite being in a competitive business environment. Thus, the results of this evaluation can be used as a basis for strategic considerations by management in preparing long-term financial plans and decision-making, as well as a reference for investors in assessing the company's prospects.

The Printed Circuit Board (PCB) industry increasingly relies on automation and digitalization to improve efficiency and accuracy in production and distribution processes. One common practice is the use of labels containing product information in the form of barcodes or QR codes, which allow automatic data input and reduce the risk of human error compared to manual writing. However, in current practices, these labels are only attached to PCBs after they have been placed inside casings. This creates a significant limitation, as access to the label information requires disassembling the casing whenever product verification, tracking, or troubleshooting is needed. Such a process not only consumes additional time and resources but also increases the risk of damaging the product. To overcome this challenge, this study proposes the development of a traceability system designed to accurately monitor the location, identity, and status of PCBs throughout the distribution process. The system was implemented as a web-based application capable of generating and printing product information labels in the form of barcodes and QR codes. Each label functions as a unique identifier, ensuring that every PCB can be distinctly tracked from production to final product assembly. All data associated with the labels is automatically stored in a centralized database, providing real-time accessibility, simplifying information management, and enabling faster decision-making in the event of quality control issues. System evaluation was carried out through rigorous testing, which showed a 100% success rate in generating, storing, and retrieving product information without errors. The findings indicate that the proposed traceability system is both effective and efficient, and it offers a practical solution for industries seeking to enhance supply chain visibility, improve product accountability, and reduce operational inefficiencies in PCB distribution and lifecycle management.

The agricultural sector has a vital role in meeting national food needs, improving community welfare, and strengthening regional food security. However, the sector still faces various challenges, including land limitations, climate change, price fluctuations, and low production cost efficiency. Therefore, innovation is needed through the application of digital technology that is able to increase the productivity and sustainability of farming businesses. One of the solutions offered is the use of Artificial Intelligence of Things (AIoT), which is the integration of artificial intelligence (AI) with the Internet of Things (IoT) that allows agricultural systems to run more intelligently, efficiently, and scalably. This community service activity was carried out with the Satria Tani Hanggawana Farmers Group located in Kalisapu Village, Slawi District, Tegal Regency, with the main focus on premium melon cultivation. The method of the activity included material presentations on the concept of smart farming, the introduction of IoT-based sensor devices for monitoring temperature, humidity, and plant nutrition, field practices in greenhouses, simulations of the use of AI-based applications for crop prediction, and interactive discussions. In addition, material was also provided on simple agribusiness management, financial recording, and crop marketing strategies so that farmers are able to manage their businesses more professionally. The results of the activity showed a significant increase in participants' knowledge related to the application of AIoT in modern agriculture. Farmers not only understand the benefits of technology, but are also able to practice using tools and applications directly. The enthusiasm of the participants was reflected in their active involvement in discussions, willingness to try new technologies, and awareness of the importance of innovation to face agricultural challenges in the digital era.

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

Innovation in the fashion industry is increasingly influenced by the integration of technology, which plays a crucial role in creating more efficient and sustainable design practices. This study explores the potential of combining fabric slashing techniques with artificial intelligence (AI) to optimize the design process, reduce textile waste, and support sustainability goals. Using a mixed-methods approach, the study involved experimentally developing an AI-based algorithm capable of automatically generating cutting patterns. Surveys and in-depth interviews with fashion designers provided qualitative insights into the acceptance, feasibility, and challenges of adopting this technology in a real-world design environment. The results indicate that integrating AI into cutting techniques reduced textile waste by up to 25%, while accelerating the design process and enabling the creation of more complex and innovative patterns compared to traditional manual methods. Furthermore, designers reported that the AI-based system not only increased efficiency but also expanded creative opportunities by presenting previously unimaginable design alternatives. The study also highlights the broader implications of AI applications in fashion innovation, particularly in adapting industry practices to global sustainability demands. By reducing waste and encouraging smarter production systems, AI has the potential to catalyze the transformation of the fashion industry towards an environmentally friendly and resource-efficient sector. The results of this study reinforce the importance of implementing cutting-edge technologies in response to growing environmental concerns and market demand for sustainable fashion. This research also makes a significant contribution to the development of modern design approaches by presenting empirical evidence of the synergistic benefits of traditional techniques and digital intelligence, while also offering practical recommendations for designers, researchers, and industry stakeholders to utilize AI as a strategy in building a sustainable fashion ecosystem that balances creativity, efficiency, and environmental responsibility.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in supporting Indonesia's economy, contributing 61.07% to the national Gross Domestic Product (GDP). However, MSMEs still face various challenges, particularly low productivity due to limited access to technology and production equipment. A clear example is Kedai Ndeso, located in Jiyu Village, Kutorejo District, Mojokerto Regency. This small food business faces inefficiencies in the noodle boiling process, which is still done manually using conventional methods, resulting in limited production capacity and longer service times. Through this community service program, the implementation team aimed to develop and apply an appropriate technology innovation in the form of a multi-strainer noodle boiler to help improve MSME productivity. The method used was a participatory approach, actively involving the Kedai Ndeso owner throughout each stage of the program, which was conducted from July 13 to 24, 2025. The developed noodle boiler measures 35x35x35 cm and is made of food-grade stainless steel. It features six separate strainers, allowing six portions of noodles to be cooked simultaneously in the same amount of time.nTesting results demonstrated that this tool significantly increased production efficiency without compromising the quality of the noodles. It also led to operational cost savings, especially in terms of energy use and labor time. Additionally, training and outreach activities were carried out to ensure effective knowledge transfer to the MSME owner. This appropriate technology innovation has proven to be a practical solution for MSMEs in the culinary sector, helping them increase productivity and competitiveness while maintaining consistent product quality and ensuring food safety. Therefore, this initiative provides a tangible contribution to supporting the sustainability and independence of small enterprises in rural areas, empowering them to compete more effectively in the modern economy.

The community service program in Kemiri Village aims to empower farmers through the use of local potential, especially moringa leaves (Moringa oleifera), as raw materials for liquid organic fertilizer (POC). This activity was carried out with a participatory and educational approach that directly involved farmer groups in technical training on making POC through simple fermentation methods using natural ingredients such as moringa leaves, rice washing water, organic waste, and local decomposers. Through this activity, farmers are taught stages ranging from the collection of ingredients, the process of shredding moringa leaves, mixing with complementary ingredients, to the correct fermentation techniques to produce high-quality fertilizer. The training is carried out by field demonstration methods, discussions, and hands-on practice, so that farmers not only gain theoretical knowledge, but also practical skills that can be applied independently. The results show a significant increase in farmers' knowledge, skills, and awareness of the importance of liquid organic fertilizer as an environmentally friendly alternative. In addition, the public's enthusiasm is getting higher after seeing real evidence that the use of POC moringa leaves is able to increase plant growth, crop quality, and reduce dependence on chemical fertilizers which are increasingly expensive and have the potential to damage the soil. This program not only provides economic benefits through the cost efficiency of agricultural production, but also has a positive impact on environmental conservation. This activity is expected to be a model of community empowerment based on local potential that can be replicated in other regions with similar conditions. The success of the program shows that simple innovations that utilize local resources, if managed well, can support sustainable agriculture and food security for rural communities.

This study aims to analyze the electrical energy consumption of a bench-type drilling machine, RYU RDB 13, by varying machining parameters in the form of spindle speed and feed rate. Electrical energy is a critical aspect of production efficiency in the manufacturing industry, particularly in machining processes that require continuous power consumption throughout the cutting operation. The material used in this study is aluminum 6061, chosen for its lightweight, corrosion resistance, and wide application in the automotive and aerospace industries. The drilling process was carried out using three spindle speed variations: 620 rpm, 920 rpm, and 1280 rpm, along with three feed rate variations: 0.04 mm/rev, 0.08 mm/rev, and 0.1 mm/rev. Current and voltage were measured using a digital wattmeter in real-time, and energy consumption was calculated in wattseconds (Ws) using power calculation formulas. The results indicate that increasing the feed rate and spindle speed leads to higher instantaneous power consumption. However, total energy consumption tends to decrease at higher speed and feed combinations due to shorter machining times. The optimal parameter combination was found at a feed rate of 0.1 mm/rev and a spindle speed of 1280 rpm, which resulted in the lowest energy consumption of 387 Ws and the fastest drilling time. This demonstrates that selecting the right machining parameters not only improves energy efficiency but also maintains or enhances productivity. The observed power consumption pattern typically shows a sharp increase at the beginning of the drilling process, a stable phase during the main cutting stage, and a rapid decrease towards the end of the cut. These findings contribute to a better understanding of the relationship between machining parameters and energy efficiency, serving as a basis for developing sustainable production strategies in the manufacturing sector that prioritize energy savings and cost reduction.

This study aims to analyze in depth the structure of production cost components and determine a reasonable and competitive selling price for shrimp farming in the Venambak Shrimp Farm. The background of this study is the need to determine the cost efficiency and profit potential of shrimp farming activities, so that business actors can make the right decisions and be oriented towards sustainability. The study uses a quantitative descriptive approach with the full costing method to calculate the total production costs, and the cost plus pricing method to determine the selling price. The data used consists of primary data, such as details of operational expenses during one cultivation cycle (six months), as well as secondary data obtained from internal company reports and records. The results of the analysis show that the total production costs incurred in one shrimp cultivation cycle reached Rp16,085,208,000, with a total harvest of 1,000,000 kg. Based on these figures, the cost of goods manufactured (COGS) was obtained at Rp16,085 per kg. In determining the selling price, the company used the cost plus pricing method and set the selling price at Rp80,000 per kg. Thus, the profit margin obtained by the company reached Rp63,915 per kg. Gross profit generated during one cultivation cycle reached Rp63,915,000,000. If cultivation were conducted in two cycles per year, the annual gross profit could potentially increase to Rp127,830,000,000. These findings indicate that with efficient cost management and the right pricing strategy, shrimp farming has significant profit potential. Therefore, intensive and sustainable shrimp farming development at the Venambak Shrimp Farm is highly feasible to improve the competitiveness and welfare of fisheries business actors.

This study aims to analyze the influence of accounting knowledge, business capital, and business length on the success of micro, small, and medium enterprises (MSMEs) in Tandes District, Surabaya City. The background of this research is based on the importance of financial management skills, sufficient capital availability, and business experience in supporting the sustainability and growth of MSMEs. This study uses a quantitative approach with primary data obtained through the distribution of questionnaires to MSME actors who are registered and domiciled in Tandes District. The sample criteria include fostered MSME actors who have been running their businesses for at least three years and marketing their own products. The number of respondents who were successfully collected in this study was 105 people. The data analysis technique used was multiple linear regression analysis with the help of SPSS software version 23.0. The results of the study show that the variables of accounting knowledge, business capital, and business duration simultaneously or partially have a positive and significant effect on the success of MSME businesses in Tandes District. Accounting knowledge helps business actors in managing finances and recording transactions systematically. Adequate business capital is an important factor in business development and increasing production capacity. Meanwhile, the length of the business reflects the accumulation of experience and practical knowledge that can improve managerial efficiency and effectiveness. Thus, these three variables have a strategic role in increasing the success of MSMEs. This finding provides an implication that MSME empowerment programs should be focused on improving accounting literacy, wider access to capital, and long-term business assistance. Local governments and related institutions can take these results into consideration in designing policies that support the sustainable growth of MSMEs.

This Community Service (PkM) program aims to provide assistance in financial recording and direct involvement in the production process at the Wisnu Batik SME. The main focus of the activity is to support the sustainability of micro-enterprises based on local culture, particularly through improved management and the preservation of traditional values. The activity was carried out for two months in the form of field work practice (PKL), using participatory observation methods, semi-structured interviews, and direct documentation. One of the main results of the activity was the implementation of a quarterly financial recording system based on SIINAS (National Industrial Information System), which has been proven to improve the accuracy and transparency in the preparation of business reports. Furthermore, the direct involvement of the interns in the traditional batik production process provided important insights into the production stages, the cultural values ​​contained, and the challenges faced in maintaining quality and continuity of production. Analysis of the cost of goods manufactured (COGS) and monthly revenues showed that the Wisnu Batik SME has great potential for sustainable development if managed with a more systematic and professional approach. The synergy between good financial management and production process efficiency is an important foundation in strengthening the competitiveness of SMEs in the midst of market competition. This activity also serves as concrete evidence that collaboration between the world of education and MSMEs can encourage positive transformation in micro-business management towards a more modern, measurable, and culturally value-based direction.

The study aims to evaluate the flow of material in the handling process and the quality control measures implemented throughout the production stages. The research employs a qualitative descriptive method, utilizing primary data collected through direct observation, interviews, and secondary data from relevant literature. The findings indicate that the IQF method significantly preserves the quality and freshness of the shrimp, ensuring compliance with international export standards. The study also identifies strengths, weaknesses, opportunities, and threats (SWOT analysis) related to the company's operations, highlighting the importance of maintaining high-quality raw materials and efficient production processes. Recommendations for improving quality control practices and enhancing operational efficiency are provided, emphasizing the need for continuous training and investment in modern technology.

This study analyzes the effect of variations in cooling and extrusion speeds on a single screw extruder plastic machine to produce filaments. The method used is a factorial Design of Experiment (DOE) with a two-way ANOVA test, where the cooling speed (8.7 m/s, 11.8 m/s, 14.3 m/s) is varied using the inlet valve on the blower and extrusion (20, 30, 40 rpm) is varied using a tachometer. The testing process includes measuring the dimensions and weighing the filament after the extrusion process, and the data is processed using Excel and Minitab-21. The results show that increasing the cooling speed decreases the dimensions and density of the filament, while increasing the extrusion speed increases the dimensions and density of the filament. The interaction between the two is also proven to be statistically significant with 0.000 on dimensions and 0.014 on density ≤ 0.05 (p-value ≤ 0.05). The optimizer response determined the optimal combination at a cooling speed of 14.3 m/s and an extrusion speed of 20 rpm for a target dimension of 1.75 mm, while the optimal parameters for density were at a cooling speed of 8.7 m/s and an extrusion speed of 40 rpm, resulting in the highest density of 0.246 g. These recommendations are expected to improve the efficiency and quality of filament production.  

The implementation of Supply Chain Management (SCM) makes many businesses manage information, goods, services and money as good as possible so they can provide fast and high-quality services to customers. Therefore, this study aims to implement SCM in Kopi Bintang Salatiga SMEs to decrease production costs, increase revenue, improve operational efficiency and establish good relationships with customers. This study discusses the SCM process and the added value in Kopi Bintang Salatiga SMEs so in the future Kopi Bintang Salatiga SMEs can have good risk management and increase added value. The data was collected through literature study and interviewing the owner of Kopi Bintang Salatiga SMEs. This study found that weather, natural disasters, fires and coffee pests are the factors with the highest risk in the SCM process of Kopi Bintang Salatiga SMEs. The added value of farmers & post-harvest coffee processors of Kopi Bintang Salatiga Kopi Bintang Salatiga SMEs is already quite high at 99%, while at grade I coffee sales is 71% and grade II is 47% it appears that coffee with grade II has lower added value, so it is needing accuracy of coffee processing at farmers & post-harvest coffee processors so the grade I coffee product is increased.