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The high-value horticulture sector has gained increasing attention in modern agricultural development, particularly in the cultivation of premium melon through greenhouse and fertigation systems. The Satria Tani Hanggawana Cooperative has initiated premium melon farming to enhance members’ income; however, investment decisions in high-value commodities require a comprehensive financial feasibility assessment to ensure business sustainability. This study aims to analyze the financial feasibility of premium melon farming by examining production costs, revenue, income, and financial efficiency indicators. Using a descriptive method with qualitative and quantitative approaches, the research was conducted through direct observation and interviews in two active greenhouses. The results show that the total production cost for one planting season reached Rp20,413,750, dominated by variable costs, reflecting the intensive input requirement to maintain product quality. The total revenue of Rp33,950,000 generated a net income of Rp13,536,250, indicating that the enterprise is financially profitable. The R/C Ratio of 1.67 confirms that the business operates efficiently, while the B/C Ratio of 0.67 indicates that net benefits remain below total costs due to reduced production caused by pest disturbances. The break-even analysis further shows that actual production far exceeded the minimum threshold required to avoid losses. Overall, the findings demonstrate that premium melon farming is financially viable, yet improvements in cost management, production monitoring, and greenhouse operational efficiency are essential to enhance profitability and long-term sustainability for the cooperative.

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 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.

This community service activity aims to assist the Ibu Jum Tempe Home Industry MSME in Bandar Lampung in implementing the process costing method as a more accurate, measurable, and efficient production cost calculation system. To date, MSMEs still use simple cost recording without a clear separation between raw material costs, labor, and factory overhead, so that product selling prices often do not reflect actual production costs. To address this problem, this activity was carried out through several stages, namely interviews to explore MSME needs and problems, production process observations, socialization regarding the importance of cost accounting systems, and direct training in the preparation and implementation of process costing. The results of the activity showed an increase in MSME owners' understanding of cost classification, unit cost calculations, and the preparation of production cost reports. After the process costing method was implemented, MSMEs were able to calculate costs more systematically and consistently, thus being able to determine more appropriate and competitive selling prices. In addition, the implementation of this method also contributed to increased cost management efficiency, transparency of financial information, and the managerial ability of business actors in making more appropriate decisions related to cost planning and control.

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.

This community service article focuses on the main issues faced by food processing Micro, Small, and Medium Enterprises (MSMEs) in Watesprojo Village, Mojokerto, namely stagnant productivity and sales due to the lack of implementation of innovation strategies, which directly hinders the improvement of the welfare of local Human Resources (HR). The main objectives of this activity are to increase MSMEs' understanding of innovation models, increase HR productivity through process innovation, and encourage significant sales increases through the adoption of digital marketing innovations. The method used was Participatory Action Research (PAR) for six weeks, involving hands-on workshops, personalized coaching clinics, simple technology transfers such as semi-automatic vacuum packaging, and intensive mentoring for e-commerce account creation and visual branding. The results of the community service showed a high level of success, evidenced by an average increase in innovation understanding scores of 71% and an increase in production output per working hour of 18%. The most significant impact was seen in the marketing aspect, where MSMEs recorded an average increase in online sales of 35%, expanding market reach beyond Mojokerto. Sociologically, this program successfully triggered proactive behavioral changes and fostered a new social institution in the form of a Local Leader, the "Watesprojo UMKM Digital Ambassador," who ensured the sustainability of self-reliance. In conclusion, the structured innovation intervention proved to be a catalyst for holistic socio-economic transformation, linking business efficiency with improved human resource well-being at the village level.

This activity aims to analyze the effectiveness of waste management in optimizing production costs in the Giriloyo Batik industry, located in Yogyakarta, Indonesia. As a center for traditional batik production, Giriloyo faces environmental challenges due to the liquid waste generated from the dyeing process. This community service activity introduced hybrid constructed wetland technology as an environmentally friendly and cost-effective solution. Methods used included field observations, interviews with local artisans, and a comparative cost analysis before and after system implementation. The results showed a 30% reduction in monthly waste management costs and a significant improvement in wastewater quality, in accordance with environmental standards. Furthermore, this program increased community awareness and participation in sustainable production practices. Effective waste management not only reduces operational costs but also strengthens the long-term environmental responsibility of the small-scale batik industry. By integrating technology with community involvement, the program provides a sustainable model for waste management in similar artisanal sectors, contributing to both economic and environmental benefits.

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 community service activity aims to improve the financial literacy of Micro, Small, and Medium Enterprises (MSMEs) through targeted training in calculating the Break Even Point (BEP) as a financial control tool. BEP, or break-even point, is the specific point at which total revenue equals total costs, allowing businesses to determine the minimum sales volume required to avoid losses. The activity was held in the Curug Tourism Village in Bogor Regency, with 27 MSMEs from various business sectors actively participating. The implementation method included outreach, training sessions, practical BEP calculations using participants' actual business data, and post-training mentoring to ensure long-term learning. The results of the activity demonstrated a significant improvement in participants' understanding of the BEP concept and its practical application in determining selling prices, production volumes, and cost control. Therefore, the application of BEP analysis is a crucial and effective strategy in supporting the sustainability and operational efficiency of MSME businesses.

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.

This study aims to analyze the influence of capital variables and production costs on the income of Micro, Small, and Medium Enterprises (MSMEs) in the Kediri area, East Java. The method used is a descriptive quantitative approach with data collection techniques through the distribution of questionnaires to MSME actors. Data analysis was performed using multiple linear regression with the help of SPSS software version 26. The results of the study show that both capital and production costs have a significant influence on the income of MSMEs. Capital plays a key role in supporting business operations and expansion, while production costs affect efficiency and profit margins. These findings indicate that increasing access to capital and optimal management of production costs can be an important strategy in increasing MSME income. This research provides practical contributions for stakeholders, including local governments and financial institutions, in designing policies for empowering MSMEs that are more targeted. In addition, the results of this study can be a reference for further research that focuses on other variables that also affect the performance of MSMEs. Thus, a deeper understanding of microeconomic factors can encourage the sustainable growth of the MSME sector in the Kediri area and its surroundings.

This study was conducted to examine the effectiveness of Kevlar as a structural material in Medium Altitude Long Endurance (MALE) Unmanned Aerial Vehicles (UAVs), particularly those designed with winglet innovations. In UAV development, material selection plays a crucial role since it directly affects flight performance, fuel efficiency, and the overall durability of the aircraft structure. Kevlar is widely recognized as a lightweight yet highly durable material, making it an interesting candidate to replace more conventional options such as aluminum and carbon fiber composites. Two approaches were applied in this research: numerical simulations using aerodynamic software and experimental testing on a prototype wing and winglet reinforced with Kevlar. The analysis focused on comparing lift, drag, total aircraft weight, and fuel consumption between Kevlar-based structures and conventional materials. The results demonstrate that Kevlar significantly improves aerodynamic efficiency and extends flight endurance due to its lower weight. Moreover, Kevlar exhibits superior resistance to dynamic loads and impacts, which are critical during certain flight conditions. However, challenges remain in terms of higher production costs and more complex manufacturing processes compared to traditional materials. Despite these limitations, the findings provide valuable insights for developing more efficient and durable MALE UAVs, while also encouraging innovation in aerodynamic design through the application of winglet technology.

This study aims to analyze the thermal performance of the heating system in a small-scale plastic bolt molding machine using LDPE material, in order to determine process parameters that are efficient while maintaining product quality. The method used includes experimental testing at two set-point temperatures (90 °C and 120 °C), measurement of melting time and feed mass per cycle, as well as heat balance calculations separating the contributions of conduction, convection, and radiation on the barrel heated by a band heater. In addition, the power/energy requirement per cycle and productivity projections based on hopper capacity were calculated. The results show that increasing the set-point from 90 °C to 120 °C accelerates melting from ±240 s to ±180 s (≈25% faster). Heat transfer analysis confirmed the dominance of conduction (≈329.7 W at 90 °C and ≈471 W at 120 °C), while convection and radiation contributions were much smaller; the total system heat rate was ≈342.7 W (90 °C) and ≈490.8 W (120 °C). The discussion highlights the process trade-off: higher set-points increase production rate and mold filling quality (due to lower melt viscosity), but may raise energy consumption per cycle and require tighter mold temperature control to limit shrinkage/warpage. The practical implications for SMEs are the need for efficiency strategies based on barrel insulation, heater contact area optimization, and correlation of temperature-time settings with quality and energy consumption targets. This study concludes that controlled temperature and heating duration, supported by simple yet targeted thermal design, can improve cycle time consistency, dimensional precision, and energy efficiency in small-scale plastic bolt molding machines.

It very important for business administration to e carried out in a structured and consistent manners in its execution. If it is not done well, it will become negative feedback in the course of the business and will reduce competitiveness. The activity of administraive tidiness is used for continuous improvement of the administrative system by adjusting the availale resouces, including human resources and technology. This community service aims to provide insights, knowledge, and skills in the implementation of administrative therapy activities through socialization, training and guidance on administrative writing, particularly in production and warehousing. The implementation leads to improved efficiency and effectiveness in working time, tidiness and ease of work. In addition, it makes coordination between employees and departements easier, while accountability is achieved.

This study aims to analyze the application of the full costing method in determining the cost of goods sold at a Sukoharjo Village-Owned Enterprise (BUMDes). The full costing method is an approach that assigns all production costs, both fixed and variable, to the product. It is expected to provide more accurate cost information than the traditional method currently used by BUMDes. This study used a qualitative descriptive approach, using a case study of a BUMDes Sukoharjo that produces traditional foods such as clorot, geblek, and lanting. Data collection techniques included interviews, observation, and documentation.The results indicate that the method currently used by BUMDes Sukoharjo does not capture all production costs, particularly equipment depreciation and other fixed overhead. Calculating the cost of goods sold using the full costing method yields a higher value than the previous method. This difference occurs because the full costing method comprehensively considers all cost elements, providing a more accurate basis for setting selling prices. By implementing the full costing method, BUMDes can improve cost management efficiency and obtain more accurate information for managerial decision-making. Furthermore, applying the full costing method enables BUMDes to better understand the impact of fixed costs on the overall profitability of their products. By factoring in all costs, including overheads and depreciation, BUMDes can make more informed decisions regarding pricing strategies and resource allocation. This method also allows for greater transparency in cost structures, which is essential for effective financial planning and budgeting. Ultimately, the full costing method will contribute to improved financial sustainability and long-term profitability for BUMDes Sukoharjo, helping them navigate challenges in the competitive market of traditional food production.

Pesidi Village, located in Grabag Subdistrict, Magelang Regency, is a highland region with promising potential in agriculture and livestock, particularly sheep farming. However, one of the major challenges faced by local farmers is the limited availability of forage during the dry season, coupled with the low utilization of agricultural by-products such as rice straw. These constraints often hinder livestock productivity and pose risks to feed security. To address this issue, a community service program was conducted with the aim of introducing and demonstrating local-based feed processing technologies, including silage, ammoniation, and Urea Mineral Block (UMB) production. The activity was implemented in several stages: problem identification, socialization, education, training, and monitoring of farmer implementation. Through this participatory approach, farmers were given hands-on training and practical guidance on processing alternative feed sources to ensure the availability of nutritious and sustainable livestock feed. The results showed that farmers began adopting UMB as a feed supplement due to its practicality and visible benefits in maintaining livestock health and productivity. However, silage and ammoniation methods were not yet widely adopted, mainly due to limited experience, lack of supporting equipment, and the perception that the processes were relatively complex. Despite these challenges, the program succeeded in raising farmer awareness of the importance of feed diversification and the optimization of agricultural waste. The training provided valuable insights into how the integration of silage, ammoniation, and UMB can increase feed efficiency, reduce dependency on fresh forage, and support sustainable livestock management. The implementation of these three technologies holds significant potential to enhance sheep farming productivity in rural highland communities, while simultaneously strengthening food security and supporting environmentally friendly agricultural practices.

The agricultural sector plays a crucial role in fulfilling food needs, but it continues to face several challenges, including limited land, climate change, and the need for more cost-efficient production methods. To address these challenges, the application of Artificial Intelligence of Things (AIoT) technology emerges as a promising solution to enhance productivity and efficiency in farm management. AIoT technology integrates artificial intelligence (AI) and the Internet of Things (IoT), enabling smarter decision-making, automation, and real-time data analysis in agricultural practices. This community service activity aimed to provide AIoT technology training to the Satria Tani Hanggawana Farmers' Group in Kalisapu Village, Slawi Sub-district, Tegal Regency, focusing on premium melon cultivation. The methods used in the activity included presentations on relevant materials, an introduction to AI and IoT-based Smart Farming technology, hands-on practice in a greenhouse, and interactive discussions. These methods were designed to equip participants with practical knowledge about integrating AIoT technology into their agricultural operations, enabling them to apply it directly to melon cultivation. The results of the activity showed a significant increase in the participants' understanding of agribusiness management, basic bookkeeping practices, and the application of AIoT in melon cultivation. The participants exhibited high enthusiasm, actively engaging in discussions and successfully performing practical exercises. This training was effective in improving farmers' knowledge and motivating them to adopt AIoT technology in their farming operations. The program has been instrumental in encouraging the use of smart farming techniques, which can lead to more efficient and sustainable farming practices. It is recommended that ongoing support, including follow-up activities and further training, be provided to ensure the sustainability of the technology implementation and continue to improve local food security

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.