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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.

Tilapia (Oreochromis niloticus) production is very important to maintain food security and the Indonesian fisheries economy. Based on a literature study conducted from 2021 to 2024, this study aims to analyze the components that influence the productivity of tilapia cultivation. The method used is a literature study by reviewing various studies that discuss the technical, environmental, social, and economic aspects of tilapia cultivation. The results of the study indicate that government policies, fish density, feed, and water quality all affect the productivity of tilapia cultivation. In addition, there is evidence that advanced technologies such as biofloc systems and aquaculture transition systems (RAS) improve production efficiency and sustainability. This study provides suggestions for increasing productivity through optimal environmental management, use of appropriate technology, and policy support that supports farmers.

This study aims to analyze the musculoskeletal disorders (MSDs) risk of workers at PT Kanugrahan Techno Engineering involved in grinding activities using the REBA (Rapid Entire Body Assessment) method. The analysis results indicate that grinding activities 1 and 2 have a REBA score of 9, indicating a very high risk, while grinding activity 3 has the highest score of 10, indicating an extreme risk. Grinding activities 4 and 5 have a score of 7, indicating a moderate risk. To reduce these risks, ergonomic aids in the form of a table and chair were designed to support better posture. The production cost of one set of tools is Rp 710,966, with a total cost for 5 sets amounting to Rp 3,554,833.91. The implementation of ergonomic aids is expected to reduce MSDs risks, increase comfort and work efficiency, and improve worker productivity.

Cultivating tilapia (Oreochromis niloticus) is one of the activities that is widely carried out in Indonesia because this fish has increasing market demand. In intensive cultivation systems, the factor that plays an important role in increasing production yields is pond design. Good pond design can influence water quality, oxygen distribution, and fish comfort which is directly related to fish growth. This research aims to examine the effect of pond design on the growth rate of tilapia in intensive cultivation. Based on a literature review, optimal pond design can increase the efficiency of feed use, maintain good water quality, and create an environment that supports faster fish growth rates. Designs that include pond shape, depth, aeration system and waste management must be carefully considered so that tilapia cultivation can achieve maximum results.

Indonesia, as an archipelagic country with over 17,000 islands, faces significant challenges in providing electricity access, particularly to small and remote islands. One promising solution is Solar Power Plants (PLTS), both land-based and floating solar plants that utilize water surfaces, suitable for areas with limited land availability. This study evaluates the economic feasibility of floating solar plants and land-based solar plants using the Levelized Cost of Electricity (LCoE) approach. LCoE encompasses all costs of construction, operation, maintenance, and energy production over the plant's lifespan, serving as a key benchmark in selecting power generation technologies. The findings show that the LCoE for floating solar plants is Rp11,197.00/kWh, lower than land-based solar plants at Rp11,769.00/kWh, although both exceed the electricity purchase price in Kodingareng, South Sulawesi, at Rp2,460.00/kWh. This difference is influenced by higher construction costs for floating solar plants but offset by greater energy output and lower operation and maintenance costs. This research provides a basis for developing solar power systems in archipelagic regions, emphasizing efficiency and sustainable energy solutions.

This research uses a descriptive qualitative approach to understand the relationship between capital, production costs, and income of MSMEs based on the experience and perspective of an entrepreneur. The subjects of this research are the owners or managers of MSMEs engaged in various sectors, such as food, crafts, and trade. The data collection techniques in this research used interviews, observation, and documentation techniques. This research data analysis technique uses data reduction, data presentation and conclusion drawing. This research shows that capital management and production cost efficiency play an important role in determining the income of MSMEs, adequate capital support allows entrepreneurs to increase their production capacity and quality, while efficient production cost management ensures the sustainability of a business. External factors, such as accessing and utilizing technology, are also something that can drive the success of MSMEs.

This study aims to analyze the implementation of the accounting system at Mie Baso Akung, which is part of the Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. The main focus of this report is to explain the accounting system in the cash sales, purchasing, inventory, and payroll and wages sections. In its work, the author uses qualitative methods through interview techniques and also observation. Based on the results of the study, it was found that most of the processes are still carried out manually by the owner who does not comply with the proper procedures. This indicates the need for the implementation of a more structured system to improve operational efficiency. In addition, this study also identified obstacles in inventory management, which is very important to maintain the availability of raw materials and production efficiency. Therefore, Mie Baso Akung needs to implement a more detailed accounting information system and better internal control in order to improve operational efficiency that can help Mie Baso Akung in managing its finances and operations more effectively.

The rapid development of multimedia technology has significantly advanced 3D animation techniques, enabling the production of high-quality visual content across industries such as film, gaming, architecture, and product visualization. Rendering, as the final stage of the 3D production pipeline, plays a crucial role in determining both visual realism and production efficiency. This study compares the performance of three rendering engines—Eevee, Cycles, and Radeon ProRender—by evaluating rendering speed, visual quality, and memory efficiency in Blender. The objective is to provide practical insights for designers and digital content creators in selecting the most suitable rendering engine based on project requirements. In this research, three identical 3D scenes were rendered using each of the three rendering engines under controlled experimental conditions. The comparison was conducted based on several parameters, including rendering time, output file size, shadow accuracy, lighting effects, and overall visual realism. Quantitative measurements were used to evaluate render speed and memory consumption, while qualitative analysis assessed differences in shadow detail, global illumination behavior, reflection accuracy, and material realism. The results indicate that Eevee outperforms the other engines in terms of rendering speed, making it highly suitable for real-time applications and projects requiring fast previews. Cycles produces the highest level of visual realism due to its physically based path-tracing algorithm, although it requires longer rendering time and higher computational resources. Meanwhile, Radeon ProRender demonstrates competitive performance, particularly in shadow quality and lighting effects, offering a balanced alternative between realism and efficiency. Based on the findings, Blender remains a flexible and effective platform. The choice of rendering engine should depend on whether speed, graphic quality, or memory optimization is prioritized.

PT X is a chemical manufacturing company specializing in the production of phosphoric acid and sulfuric acid. In addition to waste generated from production processes, PT X also produces domestic wastewater originating from supporting activities such as employee barracks, offices, and laundry facilities. This domestic wastewater contains parameters that can potentially pollute the environment, such as BOD, COD, TSS, ammonia, and Total Coliform, some of which exceed the quality standards set by the Minister of Environment Regulation No. 68 of 2016. This study aims to design an effective Domestic Wastewater Treatment Plant (DWTP) system to process the domestic wastewater of PT X. The proposed DWTP system consists of a collection tank, Anaerobic Baffled Reactor (ABR), Aerobic Biofilter, and disinfection unit. Each unit is designed to reduce pollutant parameters to meet quality standards. Based on the calculations, this system can handle a wastewater flow rate of 21.91 m³/day with high treatment efficiency for critical parameters. The study results indicate that the proposed DWTP design can reduce environmental pollution, improve wastewater treatment operational efficiency, and comply with applicable regulations. Implementing this system is highly recommended to ensure environmental sustainability and the continued operations of PT X.