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This study aims to describe the production process, business strategy, and product offerings of the COSIK chocolate factory located in Maumere, Sikka Regency, East Nusa Tenggara. The COSIK chocolate factory utilizes local raw materials, such as cocoa beans, obtained directly from local farmers, and implements a processing process without the use of chemical preservatives. This approach not only increases the added value of local products but also supports community economic empowerment through partnerships with cocoa farmers in the region. Furthermore, the use of simple yet modern technology enables a hygienic production process that meets quality standards. The results show that the COSIK chocolate factory contributes to improving the quality of local cocoa, developing innovative products based on natural ingredients, and strengthening the region's identity as a producer of quality chocolate. Thus, COSIK serves not only as a production unit but also as a sustainable business model that integrates environmental, social, and economic aspects in a food processing industry based on local resources.

PT. Tirta Fresindo Jaya, specifically its Pasuruan plant as the producer of Pucuk Harum Tea beverage, requires a large supply of steam to support various production processes. This steam is used in the process of heating tea leaves, heating water through a heat exchanger, and heating chemicals and water in the cleaning in place (CIP) process. Steam pressure of 5 bar that is flowed to the process equipment will undergo condensation to produce condensate. To separate steam and condensate, steam traps are used, consisting of several types, namely mechanical, thermostatic, and thermodynamic. However, in operational practice, steam trap malfunctions often occur, either in the form of steam leaks that are wasted with condensate or failure to drain condensate from the system. This condition causes a decrease in the efficiency of the steam piping system and increases the workload of the boiler. As a result, fuel consumption and boiler feed water requirements become greater than ideal conditions. Therefore, this study aims to analyze the energy and operational losses caused by steam trap malfunctions, as well as evaluate their impact on boiler system performance and steam utilization efficiency at PT. Tirta Fresindo Jaya Pasuruan plant.      

The rapid development of modern manufacturing technology has driven the emergence of human-robot collaboration (HRC) as part of the transformation toward a human-centric intelligent production system. In collaborative work environments, robots are not only required to work efficiently but also to interact safely and responsively with operators. However, most conventional industrial robot systems still use rigid motion controls and are unable to dynamically adapt to human activity around them.This research aims to develop a human-robot collaboration system by integrating computer vision technology to detect operator movement and applying adaptive control algorithms to the robot manipulator. The research methodology includes designing a collaborative workstation, implementing a computer vision-based motion detection system, developing an adaptive control algorithm, and evaluating system performance through various experimental scenarios. Evaluation parameters include task completion time, safe distance, and system response time.The results show that the developed system significantly improves the efficiency and safety of human-robot interaction compared to conventional systems, with shorter task times, optimal safe distances, and faster system response to operator movements.

Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design and evaluate an Industrial Internet of Things (IIoT) architecture based on edge computing to improve the efficiency of industrial sensor data processing and accelerate anomaly detection in industrial machines. Method: The research adopts an experimental approach by designing a system architecture consisting of a sensor layer, edge computing layer, and cloud layer. Industrial sensors, including vibration, temperature, and current sensors, continuously collect machine operational data, which are then processed locally at the edge node using a machine learning based anomaly detection algorithm. System testing is conducted in a simulated manufacturing environment to evaluate performance based on latency, reliability, and detection accuracy. Results: The results indicate that edge based data processing significantly reduces latency compared with cloud-based processing and enables faster responses to machine condition changes. Additionally, the implemented anomaly detection algorithm achieves high accuracy in identifying abnormal sensor data patterns.

This study investigates the strategic strengthening of the rambak cracker industry as an instrument for local economic development in Penanggulan Village, Pegandon District, Kendal Regency. Rural agro-processing enterprises have increasingly been recognized as territorially embedded production units capable of generating value-added outputs and absorbing surplus labor within localized economic systems. Field-based empirical observations reveal that rambak production in the village operates through household-managed processing systems characterized by traditional production techniques, informal managerial practices, and limited digital marketing adoption despite contributing significantly to community income generation. Data obtained from expert respondents were analyzed using the Analytical Hierarchy Process to identify strategic priority determinants influencing industrial competitiveness and sustainability. The results indicate that product innovation and quality improvement constitute the primary strategic priority, followed by digital marketing development and institutional partnership strengthening, while production capacity expansion remains comparatively less influential in enhancing market competitiveness. These findings suggest that adaptive innovation and digitally enabled commercialization pathways function as critical mechanisms for improving value-chain integration and expanding market accessibility among rural food-processing industries. Strengthening innovation ecosystems within the rambak sector may therefore contribute to employment creation, income diversification, and sustainable community-based economic transformation in rural production clusters.

This study aims to analyze the role of innovation in enhancing the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in Medan City. The research employs a qualitative approach through direct interviews with several MSME owners from various business sectors. The results reveal that innovation plays a significant role in strengthening business competitiveness through product development, digital marketing strategies, and improvements in production processes. Product innovation among MSMEs includes changes in design, quality enhancement, and product diversification based on market demand. Meanwhile, marketing innovation is achieved through the utilization of social media and digital platforms to expand market reach and improve customer engagement. However, MSME actors still face challenges such as limited capital, low digital literacy, and lack of access to training and mentorship. Therefore, collaboration between business actors, government, and supporting institutions is essential to build a sustainable innovation ecosystem that strengthens the competitiveness of MSMEs in the digital era.

This study aims to analyze consumer perceptions of consumer reviews on the Shopee e-commerce platform and to understand how these reviews influence trust and purchasing decisions. The research employs a qualitative approach with a descriptive case study design, using in-depth interviews with one informant an active Shopee user and supported by digital observations of the fake review phenomenon. The findings indicate that reviews play a crucial role in shaping consumers’ perceptions and trust toward sellers. The informant perceived honest reviews as those characterized by detailed content, genuine product photos, and a natural writing style. In contrast, reviews that appear overly uniform, exaggerated, or too brief are considered inauthentic and raise doubts. Negative experiences resulting from fake reviews reduce trust in both sellers and the platform. This study highlights the need to improve review verification systems and enhance digital literacy education so that consumers can better distinguish between genuine and fake reviews, thereby fostering a more transparent and trustworthy online shopping environment.

The integration of information and communication technology (ICT) is essential for supporting student-centered learning and developing 21st-century skills. However, many primary school teachers still experience difficulties in implementing ICT meaningfully due to limited digital pedagogical competence and a lack of contextualized professional development, particularly in primary and Islamic school contexts. This study aims to explore the implementation and outcomes of an ICT-based teacher training programs conducted through a field study approach, focusing on its influence on teachers’ digital pedagogical competence and instructional practices. A qualitative descriptive field study design was employed. Participants were primary school teachers from an Islamic public school in Indonesia who took part in a six-session ICT training programs. Data were collected through observations, documentation of teachers’ digital products, and reflective field notes, and analyzed using thematic analysis. The findings reveal improvements in teachers’ pedagogical understanding of ICT, technical skills, and readiness for classroom implementation. Teachers produced various ICT-based learning media aligned with instructional objectives, including interactive quizzes, game-based activities, visual materials, animated videos, and digital classrooms. High levels of engagement and collaboration were observed despite infrastructural challenges. Field-based, practice-oriented ICT training effectively bridges technological skills and pedagogical application, supporting sustainable digital pedagogy in primary education.

This study aims to determine the extent to which motivation and work discipline affect employee productivity at CV. Langgeng Jaya. The study uses a quantitative descriptive approach with data collection techniques through distributing questionnaires. The study population includes all 80 employees of CV. Langgeng Jaya, with a sampling technique using Saturated Sampling. Data analysis was carried out through Multiple Linear Regression Tests and Hypothesis Tests with the help of the SPSS 27 program. The results of the study indicate that motivation has a significant influence on employee productivity partially, while work discipline does not have a significant influence. However, simultaneously, motivation and work discipline have been proven to have a significant influence on employee productivity. Therefore, CV. Langgeng Jaya is expected to prioritize increasing employee motivation through targeted programs and conducting evaluations and coaching on work discipline aspects, so that both factors can support each other in increasing overall productivity. This aims so that both factors can support each other in increasing overall employee productivity, creating a more productive work environment, and improving company performance in the long term.

Overburden removal at Pit B did not meet the production targets for June and July 2025, which were set at 570,698.8 BCM and 400,986.56 BCM, respectively, while the actual production achieved was 507,071.66 BCM and 312,128.23 BCM. This study aims to determine the theoretical productivity of loading and hauling equipment and to identify the factors that hinder the achievement of production targets. The primary data used in this study include the cycle time of loading equipment, the cycle time of hauling equipment, bucket fill factor, and delay time. The secondary data required consist of swell factor, number of passes, bucket capacity, and available working time. The productivity of the loading equipment was 332.58 BCM/hour, while the hauling equipment achieved a productivity of 53.16 BCM/hour, with a match factor of 0.74. This indicates that the loading equipment experienced waiting time during loading operations due to the hauling equipment not operating optimally or at full capacity. The factors inhibiting the achievement of production targets include a narrow, waterlogged, and uneven working face; hard overburden material; a road grade of 16%, which exceeds the standard maximum of 12%; a curve road width of 15 m, which is less than the ideal minimum width of 19.95 m; undulating haul roads; narrow haul road width; and dusty road conditions.

The problem lies in the inconsistent quality of M10 hexagonal head bolts with a spacing of 1.5 mm, a bolt length of 100 mm and slow production speed for manual production. The purpose of the analysis is to obtain consistent, standard, and productive quality of M10 hexagonal head bolts with a spacing of 1.5 mm, a bolt length of 100 mm. The analysis method includes the selection of AISI 1040 raw materials with a diameter of 10 mm in the form of rolls, the determination of the production process through raw material inspection, diameter reduction from 10 mm to 9.8 mm, the formation of hexagonal heads with a machine, cutting the length of the bolts and the bolt end chamfer, making M10 threads with a range of 1.5 mm with a machine, hardening, 10 m thick Zinc coating, thread profile inspection, sample hardness test, and sample tensile test. The results of mass production with the machine obtained a hexagonal head bolt with a thread size of M10x1.5 mm, a bolt length of 100 mm, a capacity of 500 units/hour in accordance with the ISO 9001:2015 standard with a hardness of 30 HRC and a tensile strength of 830 MPa at a cost of Rp. 1133/bolt and a process duration of 8.3 minutes/bolt which implies that product quality can be more guaranteed to be consistent and uniform.

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

This community service program aims to empower the community of Ujung Tanah District, Makassar City in circular economy-based waste management. Ujung Tanah District as a coastal area with high population density faces complex waste problems, especially waste that ends up in the sea and disrupts the coastal ecosystem. The activities were conducted in four urban villages, namely Ujung Tanah, Tabaringan, Pattingalloang, and Pattingalloang Baru, involving 120 households as direct participants. The implementation methods included socialization and education, waste sorting and processing training, establishment of Waste Banks, mentoring for recycled product creation, and marketing system development. The results showed a significant improvement in community knowledge about waste management, with average scores increasing from 45.2 to 82.6. Four active Waste Bank units were established with a total of 320 household customers. The managed waste volume reached 2.4 tons per month with an economic value of IDR 8,500,000 per month. Recycled products include ecobrick crafts, bags from plastic packaging, and compost fertilizer. This program successfully changed the community paradigm from dumping waste into the sea to managing waste as a source of income.

Anemia among adolescent girls is one of the health problems that is often overlooked, even though it has serious impacts on learning concentration, productivity, and reproductive health in the future. One of the main causes of anemia is iron deficiency and an unbalanced diet. This community service activity aims to increase adolescent girls’ knowledge about anemia prevention through health promotion using poster media with the approach of “Smart Nutrition for Iron Health.” The activity was carried out at Pesantren Al-Mubarak 12 November 2025, targeting 34 adolescent girls. The method included planning, preparation, implementation, and evaluation stages, with pre-test and post-test conducted to assess participants’ knowledge levels. The results showed a significant increase in adolescents’ knowledge regarding anemia prevention. Before the activity, 55% of respondents had poor knowledge, 35% moderate, and only 10% good. After the intervention, 75% of respondents had good knowledge and 25% moderate, with no respondents in the poor category. These results indicate that poster media is effective in increasing adolescents’ understanding of anemia and the importance of consuming a balanced diet rich in iron as an effort to prevent anemia among adolescent girls.

This study aims to design and develop an electrical installation panel by applying engineering safety principles in the water spray booth of a vehicle body painting system. Field observations indicate that electrical panels in painting rooms often do not meet safety standards, which can lead to short circuits and potential fire hazards. The research employed a Research and Development (R&D) method using a simplified Borg and Gall model consisting of nine stages, starting from problem identification to effectiveness testing. Expert validation results obtained a score of 87.5% (highly valid), practicality testing yielded 90% (very practical), and effectiveness tests showed an average current of 4.1 A, with both the MCB and emergency stop functioning optimally. The developed panel product is declared feasible to be used as a practical learning media for automotive electrical systems. Based on the test results, the panel product was declared suitable for use and can be used as a learning medium in automotive electrical practice, helping to increase understanding of the application of safety in electrical installations in the automotive industry.  

The development of digital technology has brought significant changes to the delivery of da'wah messages to young people. Audiovisual media has become an effective means of attracting interest, enhancing understanding, and increasing the participation of mosque youth in development activities. This service aims to analyze the use of audiovisual media as a means of developing mosque youth at Barisan Mujahid Matita (BMM), Medan. The method used is a qualitative approach through observation and audiovisual production training, which can improve the skills of young people in creating da'wah content, strengthen understanding of development material, and boost enthusiasm in participating in mosque activities. In addition, audiovisual media has proven to help BMM enhance the quality of documentation and publication of activities. In conclusion, audiovisual media is an effective instrument in the development of young people, especially in the context of creative digital da'wah. Digital Mosque Youth

This study aims to determine the influence of marketing strategies and consumer commitment on purchasing decisions for Yamaha NMAX products in Rimbo Bujang using quantitative analysis descriptive research methods with SPSS 26 tests on 96 respondents. The results of the study indicate that the Marketing Strategy variable (X1) has a significant influence on the Purchase Decision (Y) of Yamaha NMAX products in Rimbo Bujang. Then the Consumer Commitment variable (X2) also has a significant influence on the Purchase Decision (Y) of Yamaha NMAX products in Rimbo Bujang. While simultaneously Marketing Strategy (X1) and Consumer Commitment (X2) together have a significant influence on the Purchase Decision (Y) of Yamaha NMAX products in Rimbo Bujang. The coefficient of determination (R²) value of 0.777 indicates that 77.7% of the variation in Purchase Decisions is influenced by Marketing Strategy and Consumer Commitment, while the remaining 22.3% is influenced by other factors outside this study. These findings provide important insights for more effective business strategies, especially in increasing product sales through a better approach to consumers. By understanding the factors that influence purchasing decisions, companies can optimize more targeted marketing strategies and increase levels of consumer satisfaction and loyalty.  

The decline in the performance of the die casting machine in 1998 after a long period of producing copper terminals showed dimensional defects and instability in product quality, especially in nozzle clogging, reduced copper flow, crust buildup on the gooseneck, plunger movement obstruction, and hydraulic pressure leaks. The purpose of planning the replacement and repair of die-casting machine components is to obtain replacement and repair costs, replacement and repair schedules for the period 2026, and the ratio of maintenance costs to profits. The replacement and repair planning method includes collecting previous maintenance data, applying the inspection-replace-repair-overhaul (IRRO) method, evaluating component conditions, predicting component service life, predicting labor costs, predicting supporting equipment to be used in maintenance, predicting the time to replace spare parts or reinstall repaired components, estimating replacement and repair costs for the period 2026, and calculating the ratio of replacement and repair costs to profits. The planning results obtained replacement and repair costs for the 2026 period are 75.770.000,- IDR with an estimated die casting machine rental rate of  1,500,000 IDR/hour which has the potential to be rented for 1,200 hours/year, and the ratio of maintenance costs to profits is 10,02 % which implies that the die casting machine with a capacity of 40 units/hour is still suitable for use and has the prospect of generating profits for the next few years.

The instability of the climate is becoming increasingly prominent across Southeast Asia, creating uncertainty in agricultural systems that are highly dependent on seasonal weather patterns. Indonesia, where rice remains the primary staple food, is particularly vulnerable to the effects of rising temperatures and rainfall deficits. This study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) model to predict rice production while incorporating indicators of extreme climate anomalies. Using publicly available datasets, including FAOSTAT production statistics, NOAA rainfall and temperature anomalies, and climate indices from the World Bank, this model was developed following the Box-Jenkins procedure. Among the configurations tested, the SARIMA model (1,1,1)(0,1,1)₁₂ showed the strongest performance, reflected in a MAPE of 4.62% and low RMSE values. The model indicates that significant El Niño events can reduce annual rice production by 3–7%, while wetter La Niña conditions may support production recovery. These findings highlight the importance of integrating climate-sensitive data into agricultural forecasting. The model presented here could support early warning systems, adaptive farming strategies, and long-term food security planning in Indonesia.

The normal flora of chickens refers to the microbial communities that naturally inhabit the gastrointestinal tract and body surfaces of chickens, playing a crucial role in health, digestion, and immunity. This community consists of beneficial bacteria such as Lactobacillus, Bifidobacterium, and Bacillus, which assist in feed fermentation, vitamin synthesis, and inhibition of pathogenic growth. Additionally, the normal flora may include potential pathogenic bacteria such as Escherichia coli, Salmonella spp., and Campylobacter, which can cause diseases if microbial balance is disrupted. The diversity and balance of the microbiota are influenced by various abiotic factors, including feed quality, access to clean water, ambient temperature, humidity, and environmental hygiene. Biotic factors, such as microbial interactions, rearing systems, and contact with other animals, also play a significant role in determining microbial composition. Several studies have shown that the use of feed additives, such as probiotics and phytogenics, can enhance populations of beneficial bacteria while suppressing pathogenic bacteria. Extensive rearing systems, which provide chickens with more space and exposure to natural environments, tend to increase microbiota diversity compared to semi-intensive systems with more restricted conditions. Understanding these factors is essential for developing effective health management strategies and optimizing safe and sustainable poultry production.