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Irritant contact dermatitis is a skin disease that often occurs in rubber company workers due to contact with irritant materials. Irritant materials in the work environment can damage the skin, cause inflammation, and cause irritation. If not treated immediately, this condition can interfere with comfort and reduce work efficiency. This study aims to determine the factors associated with complaints of irritant contact dermatitis in production and laboratory workers at PT. X. This study uses a quantitative approach with an observational cross-sectional design. The study population was 64 workers, with 38 people as samples taken using a purposive sampling technique. The variables studied included the dependent variable (complaints of irritant contact dermatitis) and independent variables (length of service, exposure to chemicals, duration of exposure, personal hygiene, and use of PPE). Data analysis was carried out univariately and bivariately using the Chi-Square statistical test with a 95% confidence interval. The results showed that complaints of irritant contact dermatitis with moderate and severe categories were 44.7%, and the mild category was 55.3%. There was a significant relationship between length of work (p=0.031), length of exposure (p=0.032), personal hygiene (p=0.011), and use of PPE (p=0.024) with complaints of irritant contact dermatitis.   Keywords:, , 

This community service program aims to enhance the productivity and welfare of local farmers through the optimization of male layer chicken production. Male chickens, often considered by-products of the laying hen industry, are generally overlooked and regarded as less economically viable. However, with the application of appropriate farming strategies, male chickens can become an important alternative source of protein to support food security. The methods implemented in this program include training on poultry management, the use of efficient locally-based feed, and the development of marketing strategies for the production output. The results of the program show a significant improvement in both productivity and the efficiency of male layer chicken farming among local farmers. With ongoing support, this program is expected to become a sustainable empowerment model in the small-scale livestock farming sector.

This community service program aims to enhance the productivity and welfare of local farmers through the optimization of male layer chicken production. Male chickens, often considered by-products of the laying hen industry, are generally overlooked and regarded as less economically viable. However, with the application of appropriate farming strategies, male chickens can become an important alternative source of protein to support food security. The methods implemented in this program include training on poultry management, the use of efficient locally-based feed, and the development of marketing strategies for the production output. The results of the program show a significant improvement in both productivity and the efficiency of male layer chicken farming among local farmers. With ongoing support, this program is expected to become a sustainable empowerment model in the small-scale livestock farming sector.

Indonesia, as the world's sixth largest sugar market, faces an imbalance between sugar consumption and production, opening up opportunities for natural sweetener alternatives such as stevia. Stevia, which is low in calories and has the potential to reduce the risk of chronic diseases, is increasingly in demand. However, optimal business strategies to market stevia in Indonesia are still limited. This article aims to analyze PT Sweet on Stevia's business strategy by using Porter Five Forces and SWOT analysis. The method used is to link the two analyses to determine strategies in the aspects of service, marketing and sales, and operations. The results of the analysis show the importance of improving service quality, social media-based marketing, and operational efficiency in facing market competition. The findings provide insights for PT Sweet on Stevia to optimize its business strategy and contribute to the promotion of healthier sugar consumption patterns in Indonesia.

Penarukan Village, located in Tabanan Regency, is predominantly inhabited by communities engaged in freshwater fish farming, particularly Nile tilapia (Oreochromis niloticus). The high demand for Nile tilapia in Tabanan and surrounding areas poses a challenge for farmers to manage the growth and development of the fish to ensure optimal quality. During the cultivation process, various issues arise that require effective solutions to support the sustainability of this sector. One of the main problems faced by fish farmers is related to the quality of biofloc pond water, which is still monitored using conventional methods. Poor water quality that does not meet the optimal living standards for Nile tilapia can hinder growth, reduce fish health, and negatively impact production yield. Manual monitoring methods are also prone to inaccuracy and complicate the data analysis process needed for effective decision-making.To address this issue, a technology-based solution has been proposed in the form of a real-time monitoring system using the “SI-NILA” mobile application integrated with a microcontroller-based Internet of Things (IoT) system. This system allows for continuous monitoring of pond water quality and automated pH control to maintain suitable conditions for fish growth. This innovation is expected to improve efficiency and effectiveness in fish farming practices, minimize the risk of crop failure, and promote the digital transformation of aquaculture in Penarukan Village, contributing to the sustainable development of the freshwater aquaculture sector.

This study aims to enhance the quality of operational performance by implementing the Holonic Manufacturing System (HMS). The system involves dividing manufacturing processes into autonomous, collaborative, and participatory holons, including the Order Holon, Product Holon, Resource Holon, and Staff Holon. The primary objective is to optimize production efficiency by reducing costs, minimizing processing time, and increasing flexibility while improving overall organizational productivity. The research problem centers on evaluating the impact of holonic manufacturing on operational performance improvement. This study is significant as it addresses a critical issue for firms striving to enhance their efficiency and deliver value to customers. The adoption of HMS is not only a practical approach but also a widely recognized business strategy that has garnered interest from researchers and industry professionals alike.To achieve the study’s objectives, a structured questionnaire comprising 36 items was developed and distributed to participants. Two primary hypotheses were formulated to examine the relationship between HMS implementation and operational performance quality. Various statistical analyses were conducted using SPSS (version 24) and AMOS (version 24) to test the hypotheses and validate the findings. The results indicate a significant correlation and causal relationship between the Holonic Manufacturing System and operational performance quality. The findings suggest that implementing HMS effectively enhances organizational performance by improving production processes, increasing efficiency, and reducing operational constraints. Therefore, adopting this system can lead to a more agile, cost-effective, and productive manufacturing environment, making it a valuable strategy for modern organizations.

Crackers are a typical Indonesian food that is very popular with various groups because of its crunchy texture and distinctive savory taste. One type of cracker that is often found is shrimp paste crackers, which are made from flour with the addition of shrimp paste, spices, and raising agents. In the production process, sophisticated technology is needed to increase production efficiency so that it can save energy, time, and costs. However, production equipment produced by factories is often expensive and difficult for the public to reach. Therefore, appropriate technology has emerged that is designed to help the community, one of which is a manual cracker cutter. This tool is designed to speed up and simplify the process of cutting crackers with uniform cutting results, namely 2-5 mm thick. Based on the trial, the cracker cutter using guitar strings showed significant time efficiency compared to a kitchen knife. The total cutting time with a kitchen knife reached 6 minutes 88 seconds, while using a cutter only took 42 seconds, with a time difference of 6 minutes 18 seconds. These results show that a manual cracker cutter based on guitar strings can increase efficiency and productivity in the cracker production process.

This study aims to analyze the efficiency of raw material inventory control for bread products at Rejeki Bakery in Mijen, Semarang, and to examine the application of the Material Requirement Planning (MRP) method in optimizing raw material inventory costs. The research employs a quantitative approach using secondary data as the main source. The data analysis technique utilized in this study is the Material Requirement Planning (MRP) method, which includes three inventory control techniques: Lot For Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ). Each method was analyzed to determine the most efficient inventory cost. The results show that the raw material inventory cost using the Lot For Lot (LFL) method is Rp 2,400,000.00, the Economic Order Quantity (EOQ) method results in an inventory cost of Rp 2,992,600.00, while the Period Order Quantity (POQ) method incurs a cost of Rp 6,924,800.00. Additionally, the current raw material inventory cost under Rejeki Bakery’s management policy is Rp 2,681,600.00. Based on these findings, the implementation of the Material Requirement Planning (MRP) method at Rejeki Bakery in Mijen, Semarang, has demonstrated its effectiveness in improving the efficiency of inventory management. Among the three techniques analyzed, the Lot For Lot (LFL) method proves to be the most cost-effective, as it minimizes excess inventory while ensuring that production needs are met. This study highlights the importance of selecting an appropriate inventory control method to optimize costs and enhance operational efficiency in bakery production.

Supplier selection is a strategic element in supply chain management to ensure operational efficiency and business sustainability. This study aims to determine the best urea supplier for PT DSSA 1, a textile company specializing in dyeing and finishing processes, using the Analytic Network Process (ANP) method. This method was chosen for its ability to systematically analyze interdependencies among criteria, leading to more accurate and comprehensive decision-making. Data were collected through direct observation, in-depth interviews with internal company sources, and relevant literature reviews. The analysis was based on five main criteria: quality, price, service, delivery, and flexibility, each further broken down into sub-criteria. The results indicate that quality is the most critical criterion, with the highest weight of 23.19%, followed by price, service, and delivery, each with relatively balanced weights of 19.93%. Flexibility, although ranked last with a weight of 17.01%, remains relevant, especially for urgent orders. Based on the analysis, Supplier A was identified as the best choice with the highest overall weight, followed by Supplier B and Supplier C. This study provides practical contributions by offering strategic recommendations for PT DSSA 1 in selecting suppliers that support production efficiency and business sustainability. The study is limited in the scope of criteria and the number of suppliers analyzed. Future research is recommended to explore more variables, expand the sample size, and consider the implementation of digital technologies to optimize the supply chain.

Along with the development of the industrial sector, companies are competing to create quality and affordable products. To support production, automation tools have emerged that help the production process so that it is faster. One of the machines that is widely used by large factories is a 3-phase induction motor. 3-phase induction motors are often used in driving equipment in industry because they have a simple construction, are relatively cheap, lightweight, have high efficiency, and are easy to maintain. This study utilizes the A3114 hall effect sensor device, PZEM-PP4T Sensor, 20x4 LCD, ESP32 module, Relay, Mitsubishi D700, MCP 4725 Sensor. The tests carried out showed that the performance of the sensor for measuring speed, voltage, and current on 3-phase motors has a high level of accuracy. Testing of motor speed shows a difference in speed value (Rpm) between the hall effect sensor and the tachometer, with an average accuracy percentage of 4,12%, indicating that the hall effect sensor has a fairly good level of accuracy. For voltage measurement, the Pzem sensor compared to the Multitester produces an average accuracy percentage of 0,90%, indicating that the pzem sensor is very reliable. Meanwhile, current testing shows a difference in value between the pzem sensor and the multitester with an average accuracy percentage of 0,98%, indicating a fairly high level of accuracy. Overall, this system can be relied on for measuring operational parameters of 3-phase motors because it has consistent and good accuracy. With this research, the 3-phase induction motor monitoring system which was originally done manually has changed to automatic and has a fairly high level of work efficiency.

Harvesting is a crucial stage in the palm oil production process that impacts the efficiency and productivity of the plantation. Choosing the right harvesting method can increase the effectiveness of time and labor. This study compares harvesting efficiency using manual and mechanized methods by measuring the duration of fruit harvest and transportation time to the collection point (TPH). This study was conducted in November–December 2024 at PT. Kencana Sawit Indonesia, located in Talao Sungai Kunyit, South Solok, West Sumatra. The equipment used included stationery, a stopwatch, and data related to working time and harvest results. Data were collected through direct observation. The analysis was carried out using the t-student statistical test to evaluate the difference in working time between the manual and mechanized methods. The results showed that harvesting with mechanization was more efficient than the manual method. The difference in harvest time reached 12 seconds per bunch with a P value of 0.0002, while the transportation time to the TPH was 23.48 minutes faster per ton with a P value <0.0001. Monthly production with mechanization averaged 48.69 tons, while the manual method only produced 38.13 tons per month. Thus, the use of mechanized harvesting methods has proven to be faster in the harvesting process, fruit transportation, and increasing monthly production results. The implementation of mechanization can be a strategic step to increase operational efficiency and productivity of oil palm plantations.

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

Biogas is a renewable energy source with significant potential to reduce dependence on fossil fuels. However, conventional biodigester systems still face several challenges in monitoring methane gas production. Therefore, this research aims to design and develop a biogas digester prototype equipped with a stirrer and an Internet of Things (IoT)-based sensor to detect methane (CH4) gas levels. The research methodology involves designing a biodigester with an automatic stirrer and an MQ-2 sensor that can detect methane gas levels in real time. The data obtained is transmitted via ESP32 and displayed on the Blynk application. The research results show that the designed system can increase methane gas production and allow remote monitoring. The conclusion of this study is that the integration of IoT technology in the biodigester system can improve production efficiency and safety in biogas utilization.

This study examines the production costs and profitability of crab farming enterprises in Prapag Kidul Village, Brebes Regency. Using a quantitative descriptive approach, data were collected through in-depth interviews, field observations, and financial documentation from crab farmers. The research found that feed costs constitute the largest component of variable costs, accounting for 30% of total production costs. Financial analysis revealed favorable profitability levels with a Gross Profit Margin of 33%, Net Profit Margin of 24%, and Return on Investment of 30%. Factors significantly influencing profitability include cost management efficiency, market price fluctuations, crab quality, and access to capital. The findings suggest that systematic financial recording and cost management strategies are crucial for improving business sustainability and competitiveness in the crab farming sector.

The selection of building materials is vital for the development of high-quality infrastructure and residential projects. The two most commonly used building materials are red bricks and lightweight bricks. This study compares the productivity and cost of red brick and lightweight brick production and installation in construction projects. Data were obtained through direct observation, worker interviews, and Value Engineering analysis on the Shopee Semanggi Housing Project, which consists of 136 houses with a total estimated budget (RAB) of Rp10.93 billion. The results show that red brick installation productivity is 3.3 m²/day, while lightweight brick installation reaches 17.9 m²/day. The installation cost for red bricks is Rp1.52 billion for 12,786.78 m², compared to Rp1.62 billion for lightweight bricks for the same area. This study provides guidance for selecting building materials based on time and cost efficiency.

This study aims to analyze the tofu production process in the household industry in Jambu Lor Hamlet. This research was conducted using observation methods and in-depth interviews with household tofu entrepreneurs in the area. The main focus of this study is to describe the stages of tofu production, starting from the selection of raw materials, the manufacturing process, to the distribution stage of the finished product. In addition, this study also evaluated factors that affect the quality of tofu products, such as soybean selection, processing techniques, and the influence of the surrounding environment. The results showed that despite using simple equipment, the household industry in Jambu Lor Hamlet was able to produce tofu with good quality, with some innovations in the production process tailored to the needs of the local market. This study is expected to provide useful insights for the development of the household tofu industry in the region and strengthen the local economic sector.

The light steel roll forming machine is a tool used in the manufacturing industry to continuously shape steel sheets into specific profiles. Efficiency and accuracy in production heavily depend on the control system employed. This article discusses the implementation of an automatic control system in a light steel roll forming machine, focusing on the use of sensors, actuators, and a microcontroller-based control system. Additionally, the system is equipped with a digital printing machine to directly print product branding and light steel specifications. The research results indicate that the application of an automatic control system enhances product precision, improves production efficiency, and reduces the defect rate.

This study aims to describe and analyze: the effectiveness of the implementation of the Revenue and Expenditure Budget policy and the implications of the implementation of the Regional Budget and Expenditure policy in Lumajang Regency. The data analysis technique uses the technique developed by McNabb (2002), namely Grouping the data according to key constructs, Identifying bases for interpretation, Developing generalizations from the data, Testing Alternative interpretations and Forming and/or refining generalizable theory from case study. The results of the study show that regional financial policies in Lumajang Regency, especially the policy of increasing Regional Original Revenue (PAD), are inseparable from the Central Government's policies in the framework of financial relations between the Central and Regional Governments. Meanwhile, the Lumajang Regency Government's policies to increase Regional Original Revenue (PAD/Pendapatan Asli Daerah) include: Digitalization to increase the efficiency and transparency of financial management, Adjustment of regional taxes and levies, Re-collection of taxpayers, Cooperation with the private sector and NGOs in the management and collection of regional taxes and Improvement of regional tax management management. The model of the implementation of the Regional Original Revenue (PAD) policy implementation model in Lumajang Regency is Top Down. The Government of Lumajang Regency, East Java is committed to continuing to encourage an increase in Regional Original Revenue (PAD). The contribution of Lumajang Regency's PAD in 2024 compared to the APBD (Anggaran Pendapatan Belanja Daeerah) structure only reaches 16 percent, so that to meet the needs of the expenditure budget in the APBD budgeting structure, it still depends on transfer funds, To reduce dependence on transfer funds, the government is optimizing regional tax revenues, especially from the Rural and Urban Land and Building Tax (PBB-P2). The implication is that to increase regional tax and levy revenues, efforts are needed to increase production and business capacity in the regions. Increasing production capacity and business activities is an important factor to increase regional tax and levy revenues. In addition, it is also necessary to increase the capacity of regional tax administration as one of the requirements to increase tax capacity and effort in the regions (taxable capacity and tax effort).

This community service program aims to assist Deppa Tori’ business actors in optimizing production and financial management in order to improve the quality, capacity, and sustainability of their business. The methods used in this program include training, direct assistance, and implementation of more efficient production strategies and more systematic financial records. In addition, this program also prioritizes branding and marketing aspects that are in line with local tourism potential, so that Deppa Tori’ can be better known as a typical souvenir that supports the tourism industry in the Toraja area. The expected results of this activity are increased production efficiency, better product quality standards, and a more organized financial system for Deppa Tori’ business actors. Thus, MSMEs can develop more professionally and contribute to strengthening the local creative economy and tourism sectors.

This study aims to analyze the optimization of technology and digital marketing strategies in enhancing the competitiveness of Bakpia Wong Yogyakarta SMEs. Using a qualitative descriptive approach, the research explores the application of technology in production processes, such as modern machinery and production management systems, as well as digital marketing strategies through social media, e-commerce, and SEO. The findings reveal that technology utilization increases production efficiency by up to 30%, while digital marketing via online platforms boosts sales by 40%. However, challenges such as limited skilled human resources and digital infrastructure remain significant. This study recommends investing in human resource training, developing more integrated digital strategies, and product innovation to strengthen the competitiveness of SMEs in the digital era.