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This study examines a comprehensive approach to addressing common issues in laundry services, such as ineffective scheduling, skills gaps, and operational inefficiencies. The research focuses on RPK Omah Laundry Prapen, aiming to improve work processes and optimize human resources in this laundry business. The proposed solutions include the implementation of an attendance system, financial application training, laundry and ironing skills training, and a single-shift work system. The attendance system is designed to improve workforce punctuality, while the financial application training aims to enhance employees' understanding of financial management. Additionally, providing specific training on laundry and ironing techniques helps to bridge the skills gap and ensure high-quality service. The introduction of a single-shift work system aims to increase efficiency by streamlining operations and reducing staff fatigue. The results of the study indicate that these proposed solutions lead to several positive outcomes. The attendance system contributes to better time management, fostering a sense of responsibility among employees. Financial application training helps staff manage the business's finances more effectively, leading to more informed decision-making. Furthermore, the skills training program has shown improvements in the quality of laundry and ironing services, which directly impacts customer satisfaction and retention. The adoption of a single-shift work system reduces operational costs and increases the overall efficiency of the laundry services. Ultimately, this approach enhances fairness, operational efficiency, and productivity, creating a more conducive work environment. Implementing these integrated solutions can help laundries, such as RPK Omah Laundry Prapen, achieve better, sustainable performance by addressing key operational challenges and maximizing their workforce's potential. This study provides valuable insights for other laundries looking to optimize their operations and improve long-term business success.

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

Employee shift scheduling in the hospitality industry remains a critical yet complex task due to fluctuating operational demands, fairness requirements, and labour regulations. Many hotels still rely on manual scheduling methods, which are time-consuming and prone to biases, particularly in ensuring fair workload distribution across employees. Despite numerous studies on workforce scheduling, limited attention has been given to integer linear programming (ILP) models that address gender-based restrictions and operational fairness simultaneously in real-world hotel contexts, especially in developing regions such as Central Java. This study proposes an Integer Linear Programming (ILP) model to generate optimal shift schedules for hotel staff over a 31-day planning horizon. The model incorporates operational constraints, including one shift per day, gender-based restrictions (which prevent female staff from working night shifts), availability, minimum staffing levels, and fairness in workload distribution. Key parameters and binary decision variables were defined to ensure compliance with the hotel's specific requirements. Empirical data were collected from a hotel in Central Java involving 20 employees, and the model was implemented using Python with a Gurobi solver. The ILP model successfully generated optimal schedules in under 10 seconds, significantly outperforming the manual method, which required over 4 hours. While the manual schedule resulted in an imbalance where some employees worked over 27 days and others only 22, the ILP approach enforced a strict maximum of 26 working days for all staff. Furthermore, the fairness index (FI) improved from 19.2% in the manual method to 0% in the ILP-generated schedule, indicating complete equity in workload allocation. The proposed ILP model demonstrates its effectiveness in improving scheduling fairness, operational efficiency, and compliance with labour policies. This work not only addresses a critical research gap in hospitality scheduling practices in Indonesia but also offers a replicable framework for other labour-intensive service sectors. Future research may explore multi-objective extensions incorporating employee preferences, satisfaction, and dynamic demand fluctuations.

Measuring Liquefied Petroleum Gas (LPG) levels and inventory in storage tanks is a critical aspect of terminal operations, directly influencing safety, operational efficiency, and accurate stock management. The Integrated Terminal Palembang – Pulau Layang LPG Site has implemented a servo-type Automatic Tank Gauging (ATG) system, namely the Proservo NMS81, to provide precise and real-time volume measurements. Despite its operational importance, there remains a limited in-depth understanding of how this ATG system functions, particularly regarding the complete process from sensing LPG levels to converting them into accurate inventory data. This study aims to analyze the working mechanism of the Proservo NMS81 in measuring LPG height and generating digital stock data for monitoring purposes. The research method combines a literature review of the Proservo NMS81 technical datasheet and related scientific references with direct field observation (KSM-LP) at the LPG Pulau Layang site. The analysis covers the operating principle of the servo sensor, which relies on displacement measurement via a mechanical float and wire system; the analog-to-digital conversion process utilizing a 12-bit ADC to transform continuous signals into discrete digital values; the communication protocols employed, including HART and Modbus RS-485, for transmitting processed data to the control system; and the algorithmic data processing that converts tank level measurements into standardized inventory figures based on tank calibration tables and product density. The results of this study are expected to improve technical knowledge regarding servo-type ATG systems, enhance the accuracy and reliability of inventory monitoring, and contribute to more informed operational decision-making. Furthermore, the research findings are intended to serve as a valuable academic reference for the application of advanced instrumentation technology in the energy industry, supporting both professional practice and further scholarly exploration in the field.

This study aims to analyze the implementation of risk management at PT API, identify the challenges faced during the process, and evaluate its impact on the company’s financial performance. A qualitative research approach was employed, with data collected through in-depth interviews, direct observation, and documentation review. The data were obtained from managers and staff of the Quality, Risk, and Performance Management unit, providing comprehensive insights into the risk management procedures applied within the company. The findings reveal that PT API has implemented risk management in accordance with the ISO 31000:2018 framework. The processes of risk identification, analysis, evaluation, and mitigation are carried out systematically. However, several challenges were identified that hinder effective implementation. These include reliance on manual monitoring systems, which are prone to errors and delays in reporting, and the lack of widespread awareness of risk culture across all work units. This uneven awareness results in suboptimal employee participation in risk identification and reporting. Nevertheless, the implementation of risk management has shown a positive impact on the company's financial performance. With structured risk treatment and appropriate mitigation strategies, the company has been able to reduce potential financial losses and improve operational efficiency. This is reflected in more controlled budget management and more cautious decision-making based on risk analysis. Overall, the study emphasizes that consistently and thoroughly applied risk management not only functions as a control mechanism but also contributes significantly to the financial stability and sustainability of the company. Therefore, the enhancement of digital monitoring systems and the strengthening of risk awareness across all departments are crucial aspects that need to be addressed moving forward.This research highlights the strategic value of risk management in supporting organizational resilience and financial health, offering practical insights for companies seeking to optimize their risk governance frameworks.

This study aims to analyze the influence of business capital, product pricing, and the utilization of e-commerce on the income of micro culinary business actors in Denpasar City. The background of this research is based on the crucial role of micro enterprises in economic development, particularly in the culinary sector, which is one of the largest contributors to the Gross Regional Domestic Product (GRDP) of Denpasar City. Despite the sector's significant growth, increasing competition and uneven adoption of technology remain key challenges in improving business income. This study employs a quantitative approach with an associative research design. The population includes micro culinary business actors spread across the four districts of Denpasar City. The sample was determined proportionally using the proportionate stratified random sampling technique, and respondents were selected using accidental sampling to ensure broad representation. Primary data were collected through direct observation and structured questionnaires, while secondary data were obtained from relevant government institutions such as the Department of Cooperatives and MSMEs and the Central Statistics Agency. The data analysis technique used was multiple linear regression, supported by classical assumption tests (normality, multicollinearity, heteroscedasticity), the F-test to determine the simultaneous influence of the variables, and the t-test to analyze the partial influence of each independent variable on income. The findings indicate that simultaneously, business capital, pricing, and e-commerce significantly influence the income of micro business actors. Partially, each of these variables also shows a positive and significant effect. Business capital provides the foundation for operational activities, pricing affects consumer demand and competitiveness, while e-commerce broadens market reach and improves efficiency. These results highlight the importance of strategic financial management, appropriate pricing strategies, and the adoption of digital platforms to support income growth and sustainability of micro culinary enterprises in Denpasar City.

Completeness, suitability, and accuracy in filling medical record documents are essential for effective management of patient files, as well as for improving the overall quality of healthcare services. Medical records serve as a critical tool for documenting patient histories, treatments, and decisions made during their healthcare journey, thus impacting the quality of care provided. Incomplete or inaccurate documentation can lead to delays in treatment, miscommunication among healthcare providers, and legal issues related to patient care. Studies have shown that comprehensive medical records are linked to improved patient outcomes and enhanced operational efficiency in healthcare settings (Smith et al., 2019; Johnson & Patel, 2021). This study aimed to assess the completeness of patient medical record documents in the Medical Resume and Informed Consent forms for inpatients with surgical cases at Tgk. Chik Ditiro Sigli General Hospital. Using a descriptive quantitative approach, the research analyzed a random sample of 293 medical documents. The findings revealed that the completeness of medical record documentation was 69% for the Medical Resume sheet and 83% for the Informed Consent sheet. The study concluded that certain sections were either incomplete or omitted, primarily due to the assumption that certain fields were not applicable to the particular patient’s case. This highlights the need for further training and awareness for healthcare staff regarding the importance of complete medical documentation. The hospital should implement stricter guidelines for filling out medical records and ensure that healthcare workers fully understand the significance of accurate and complete documentation. Future research could explore strategies for improving the consistency of medical record documentation and evaluate the impact of training programs on filling medical records (Williams et al., 2020).

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.

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

The purpose of this paper is to examine the role of Green Intellectual Capital (GIC) in the development of waste-to-energy (WtE) technologies, which is of special relevance for the incineration plants in the Gulf Cooperation Council (GCC) countries. Although previous studies have focused primarily on technological and infrastructural aspects, this paper investigates the contribution of intangible assets such as green human, structural, and relational capital towards the performance and sustainability of WtE systems. Adopting a mixed-method approach, the results show that Green Structural Capital has the first place in supporting operational efficiency, followed by Green Human Capital and Green Relational Capital. The statistical analysis based on Structural Equation Modeling (SEM) shows that all GIC dimensions are positively related to plant performance, with institutionalized knowledge and systems as the most significant enablers of innovation. Qualitative findings also highlight constraints such as lack of training, unhandy knowledge systems, and poor public-private interaction. The findings recommend policy suggestions for promoting GIC assimilation within environmental infrastructure and provide a region-based theoretical model connecting knowledge-based resources and sustainable waste management practices. The study emphasizes the importance of integrating intellectual capital into the strategic decision-making process of waste-to-energy plants to enhance their operational effectiveness and long-term sustainability. Additionally, the research underlines that fostering a knowledge-sharing culture and enhancing collaboration between various stakeholders, including governmental bodies, private firms, and research institutions, is critical for the success of green initiatives. Training programs aimed at developing green human capital and improving public-private partnerships are essential to overcoming the current barriers to innovation in the WtE sector. This study has practical and scholarly implications in unifying the focus from just technology to the facilitating role of human and intellectual capital in green transformation, further bridging the gap between environmental sustainability and technological advancements in waste management.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in supporting national economic growth, particularly through their contributions to job creation and the development of local potential. MSMEs serve as the backbone of inclusive economic development by reaching various segments of society. However, despite their strategic importance, MSMEs often face internal challenges, including the risk of fraud committed by employees. This study aims to examine the forms of fraud risk occurring within the MSME HJ.GUS BUSANA and analyze their impact on business operations. A qualitative descriptive approach was used, with data collected through direct interviews with the business owner. This method allowed for a contextual and in-depth understanding of the types of fraud experienced. The findings reveal two primary forms of employee fraud that pose a threat to operational efficiency and business sustainability. First, the excessive use of raw materials without the owner’s knowledge or approval, categorized as a high-risk behavior. Second, the use of business facilities such as equipment and working hours for personal purposes, categorized as a moderate-risk behavior. These practices lead to resource wastage, increased operational costs, and decreased productivity. The impact of such fraud is not only financial but can also erode trust within the workplace environment. Therefore, a more effective internal control system is essential, including proper monitoring of material usage and access to business resources. Additionally, instilling strong work ethics and a sense of responsibility among employees is crucial in building a positive organizational culture. Implementing these measures is key to ensuring that MSMEs can not only survive but also grow sustainably amidst the ever-changing business landscape. Strengthening internal supervision and ethical awareness can significantly reduce the risk of fraud, thereby enhancing the long-term resilience and performance of the enterprise.

Employee performance is a critical determinant of service quality and operational success in hospitals. High-performing employees contribute directly to patient satisfaction, service efficiency, and overall institutional reputation. This study investigates the influence of intrinsic and extrinsic motivation on the performance of employees at Petrokimia Gresik Hospital, aiming to provide empirical evidence to guide strategic human resource management in healthcare settings. A quantitative research design was employed, with data collected using structured questionnaires. The respondents consisted of 85 permanent employees selected through simple random sampling, ensuring that the sample fairly represented the hospital's workforce. The questionnaire was designed to measure aspects of both intrinsic motivation (such as self-fulfillment, recognition, and meaningful work) and extrinsic motivation (such as salary, benefits, and job security), along with indicators of employee performance. Data were analyzed using multiple linear regression analysis to examine the individual and joint effects of the motivational variables on performance. The results revealed that both intrinsic motivation (β = 0.532, p < 0.05) and extrinsic motivation (β = 0.487, p < 0.05) had a statistically significant and positive impact on employee performance. The model showed that the combination of these two factors accounted for 68.2% of the variation in employee performance (R² = 0.682), indicating a strong explanatory power. These findings underscore the importance of a balanced motivational strategy in hospital management. Relying solely on financial incentives is insufficient; efforts must also be made to cultivate a positive and fulfilling work environment. Therefore, hospital administrators are encouraged to design integrated motivation programs that address both intrinsic and extrinsic factors to enhance employee engagement, productivity, and ultimately, the quality of healthcare services provided.

This study aims to examine the effect of digitalization and automation on employee performance, with job satisfaction as a mediating variable. The background of this research is based on the dynamics of modern organizations that are required to continuously adapt to technological developments, particularly in the era of digital transformation. The implementation of digital technology and automation systems has become a key strategy for improving operational efficiency, accelerating work processes, and optimizing workforce productivity. However, this transformation also poses new challenges, particularly regarding how technology impacts employee job satisfaction and overall performance. This study employed a quantitative approach with a survey method. A questionnaire using a 4-point Likert scale was distributed to 65 employees of the Karanganyar Regency Environmental Agency. Data collection was conducted directly, and data analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS) to examine the relationships between variables and the mediating role of job satisfaction. The results indicate that digitalization and automation have a positive and significant impact on employee performance. Furthermore, job satisfaction was also shown to play a significant mediating role in strengthening the influence of digitalization and automation on performance. These findings demonstrate that the success of technology implementation in the workplace is not solely determined by technical aspects, but also depends heavily on how the technology improves employee well-being and job satisfaction. Therefore, organizations need to consider employee psychological aspects at every stage of their digital transformation. This research provides theoretical and practical contributions to understanding the role of digitalization and automation in improving employee performance through a job satisfaction-oriented approach.

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

Micro, Small and Medium Enterprises (MSMEs) have an important role in driving local and national economic growth. However, in the development of business spaces, environmentally friendly aspects of interior design often receive less attention. This research aims to increase MSME actors' understanding of the principles of sustainable and environmentally friendly interior design. The method used is an educational approach through training and workshops for a number of MSME players in the culinary and retail sectors. The material presented includes selecting environmentally friendly materials, managing natural lighting, cross ventilation, and energy efficient space planning. The evaluation results show an increase in participants' knowledge and awareness of the importance of implementing environmentally friendly interior design, which also has an impact on operational cost efficiency and improving business image. Thus, it is hoped that this program can encourage the creation of MSME business spaces that are not only functional and visually attractive, but also support environmental sustainability.

This study analyzes the opportunities and challenges in implementing digital payment systems to enhance the productivity of Micro, Small, and Medium Enterprises (MSMEs). In the era of growing digital transformation, the adoption of cashless transactions has become a crucial innovation to improve efficiency and competitiveness among MSME players. The findings indicate that the use of digital payment platforms such as QRIS, bank transfers, e-wallets, and card-based e-money offers several advantages, including faster payment processing, reduced risk of calculation errors, and the minimization of counterfeit money usage, which remains an issue in some regions. However, the implementation of digital payments still faces various obstacles on the ground. Certain sectors of MSMEs continue to rely heavily on cash transactions, especially in remote areas where internet connectivity is limited. Furthermore, many business owners still prefer conventional payment methods due to concerns over trust, security, and deeply rooted habits. Demographic factors also influence the level of digital payment adoption. Younger generations tend to be more adaptive to digital technologies, whereas older business owners are generally less familiar and comfortable with using digital devices. These findings suggest that in order to fully leverage the benefits of payment digitalization among MSMEs, strategic efforts are needed. These should include the improvement of digital infrastructure, widespread education and awareness programs, and the development of applications tailored to the specific needs and characteristics of each business sector. Collaboration between the government, financial institutions, and digital service providers is essential in creating an inclusive and user-friendly digital payment ecosystem. By addressing technical barriers and bridging digital literacy gaps, the implementation of digital payments holds significant potential to drive operational efficiency and sustainably boost the productivity of MSMEs.

The digital era has revolutionized educational systems, making digital literacy a vital competency for the 21st century. As such, educational administration plays a pivotal role in driving digital transformation within schools. This study used a qualitative approach with a multi-case study design, examining 20 secondary schools to assess how effective educational administration practices contribute to the sustainable implementation of digital literacy programs. Data were gathered through in-depth interviews with 60 educational administrators, participant observations, and the analysis of policy documents. The findings reveal that educational administration, when proactive, collaborative, and data-driven, significantly boosts student digital literacy. In fact, schools employing these practices experienced an improvement in digital literacy by up to 65% within two years of program implementation. The success of these programs was largely attributed to key factors such as visionary leadership, strategic allocation of resources, continuous teacher capacity development, and robust monitoring systems. Additionally, the research highlights the importance of a comprehensive approach to digital literacy, where educational leaders understand the interconnections between various administrative functions and their impact on digital education. This includes integrating strategic planning, operational execution, developmental efforts, evaluation processes, and collaborative work between teachers and administrators. In response to these findings, the study proposes the Integrated Digital Literacy Administration Model (MALDT). This model offers a framework that can be adapted by educational institutions to enhance learning quality in the digital age. It emphasizes the need for a holistic approach to digital literacy administration, combining leadership vision with operational efficiency and continuous professional development. Ultimately, the adoption of such a model can help schools foster an environment where digital literacy is embedded into the core educational experience, ensuring students are adequately prepared for the challenges of the digital era.

This community service initiative aims to educate and assist in the implementation of an Internal Control System ICS at Minimarket Malika as a strategic effort to safeguard assets and enhance operational effectiveness and efficiency. The ICS applied includes a systematic recording process for inventory, purchase prices, and selling prices. These records are intended to ensure that all transactions are properly documented and accountable.Internal evaluations are conducted regularly through annual stock-taking activities, which involve verifying and matching inventory data recorded in the system with the actual physical stock in the store or warehouse. This activity serves as a critical benchmark for assessing business stability, the accuracy of inventory records, and the overall effectiveness of inventory management. Any transactional errors identified during sales operations are corrected immediately in real-time to prevent error accumulation and potential financial losses. The role of management is essential, particularly in maintaining business continuity through improved service quality and the timely fulfillment of customer needs. In response to intense competition and dynamic market changes, Minimarket Malika adopts adaptive strategies such as price adjustments, excellent customer service, and a broader product assortment to meet diverse consumer demands. To prevent fraud, the minimarket has installed CCTV cameras at strategic locations and provides training for employees on how to detect counterfeit money and suspicious behavior. The ICS also supports risk management in inventory by monitoring the movement of goods in real-time, allowing management to make accurate decisions about which products need to be stocked in accordance with current consumer demand trends.Through the consistent and comprehensive application of an internal control system, Minimarket Malika is expected to improve its competitiveness while maintaining the integrity and sustainability of its business operations amid ongoing economic challenges. Furthermore, this approach serves as a practical model for other small and medium enterprises (SMEs) aiming to strengthen their internal governance and adapt to an increasingly complex retail environment.

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

This study explores the key determinants of field engineer efficiency in the field service industry by analyzing the impact of self-efficacy, resource management, and time management on operational performance. Employing a quantitative research approach, data were collected using saturated sampling from 102 field engineers and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The measurement model showed robust psychometric properties, satisfying the thresholds for convergent validity, discriminant validity, and internal consistency reliability. The structural model results indicate that all three independent variables significantly influence field engineer efficiency. Self-efficacy was found to have the strongest effect (β = 0.421, p < 0.001), followed by resource management (β = 0.347, p < 0.001) and time management (β = 0.289, p < 0.001). The model accounts for 68.7% of the variance in field engineer efficiency, reflecting strong explanatory power and predictive accuracy. Among these variables, self-efficacy emerged as the most dominant factor, suggesting that field engineers' belief in their ability to perform tasks is a critical driver of operational success. High self-efficacy enhances motivation, resilience, and effective problem-solving under pressure, making it essential in dynamic and unpredictable field environments. Resource and time management also play crucial roles in supporting engineers' ability to complete tasks efficiently by ensuring optimal allocation of tools, equipment, and time. The findings provide practical implications for field service organizations aiming to improve workforce performance. Investing in training programs that strengthen self-efficacy, combined with systematic improvements in resource and time management practices, can significantly enhance operational outcomes. By prioritizing these factors, organizations can boost engineer efficiency, reduce operational costs, and improve service delivery, ultimately gaining a stronger competitive advantage in the industry.