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Competition within Indonesia's banking landscape, specifically at BSI KCP Purwokerto Karangkobar, necessitates flexible strategies to stay relevant. This research assesses how the utilization of SERVO (Strategy, Environment, Resources, Value, Organization) analysis impacts the performance of the firm. Employing qualitative descriptive techniques, information was gathered through comprehensive interviews, observations, and document reviews. Results reveal that strategies focusing on digital advancement, community engagement, and operational effectiveness are vital components. Cooperation among departments, particularly between gold services and microfinance, fosters social bonds and enhances transparency. The teller and security teams uphold service excellence through the consistent application of Standard Operating Procedures. The SERVO framework has shown to be effective in merging digital advancements with sharia principles within company operations, which enhances customer satisfaction and boosts competitiveness. Proactive modifications in response to evolving customer demands are essential for enhancing institutional effectiveness.

This research uses a descriptive qualitative method with a case study approach to analyze the influence of soft skills and digital marketing skills on the performance of MSMEs in the creative economy era. Theories used in this research include competency theory and organizational performance theory. This study focuses on understanding how interpersonal abilities (soft skills), such as communication, creativity, and leadership, along with digital skills such as the use of social media, e-commerce, and digital branding, can enhance the competitiveness and productivity of MSMEs. The results show that MSME actors with strong soft skills are able to build strong customer relationships and create added value in their products, while digital skills support operational efficiency and broader market reach. The integration of these two skill sets significantly contributes to the improvement of MSME performance, particularly in terms of sales, customer satisfaction, and business growth. Therefore, the development of soft skills and digital skills is a crucial strategy to support the sustainability of MSMEs amid the increasingly dynamic competition in the creative economy.

This study aims to analyze the degree of employee compliance with the Standard Operating Procedures (SOP) at PT XYZ, especially in the implementation of working hours. The background of this study was based on the findings of a discrepancy between practices in the field and the company's SOP provisions, such as delays in employees entering work and unscheduled return. This study used a descriptive qualitative method with a case study approach. Data collection techniques are carried out through observation, interviews, and documentation of PT XYZ's employees and HRD. The factors that hinder compliance include lack of personal discipline, distance of residence, lack of supervision, and low understanding of SOPs. Failure to comply with the SOP has resulted in a decline in performance, administrative sanctions, and potential loss of company operations. Research results show that while companies have clear disciplinary enforcement policies and procedures, better strategies are needed to improve employee awareness and discipline in complying with standard operational procedures (SOPs). This study emphasizes the importance of improving SOP understanding through training as well as strengthening supervisory policies to create a work culture that is disciplined and compliant with applicable rules.    

Financial reports are made to provide information regarding the financial position, performance and changes in the financial position of a company and there are demands in reporting and compliance with the timeliness of submitting the company's financial reports. Consumer non-cyclical is a type of stock issued by companies whose business is not affected by the seasons or economic cycles in a country. The purpose of this study is to test and analyze the effect of operational complexity, management replacement and company size on audit report lag. The data used in this study are secondary data accessed through the website www.idx.co.id with 65 research samples. The results of this study indicate that operational complexity, management replacement, and company size have an effect on audit report lag.

International airports are complex work environments with unique occupational health and safety risks. As hubs of intensive transportation activities, airports involve various operations, including flight services, passenger handling, cargo management, and fuel operations. Early detection of fuel leaks is crucial to ensure the aircraft’s fuel system is free from leaks, blockages, or potential fire hazards. This study aims to analyze the causes of fuel leakage and identify appropriate mitigation measures, using observation and literature review methods. The findings indicate that fuel leakage occurring while the aircraft is parked suggests damage to certain fuel system components, such as seal gaskets, sealants, and dome nuts, which may suffer from wear or cracking due to age-related degradation. Such damage poses serious risks, including fire hazards, corrosion to aircraft structures—particularly in hard-to-reach areas like the wings or fuselage—and a drop in fuel pressure that could impair engine performance or cause flight cancellations. To address these issues, thorough inspections of all fuel system components are essential. Additionally, the use of sensors to detect abnormal changes in fuel pressure and flow, combined with rigorous leak testing after repairs, is recommended to ensure operational safety and reliability.

According to data from the Ministry of Cooperatives and SMEs in 2024, Indonesia has more than 60 million SMEs, which are very important to its economy, contributing 60% to the national GDP. However, around 77.5% of SMEs do not keep financial records, while 22.5% have some form of financial reporting that is often inconsistent and poorly documented. Many entrepreneurs do not realize the importance of financial reports, instead focusing on business growth and sales. Lack of financial literacy leads to poor decision-making and operational transparency. Quality financial reports can facilitate access to capital and serve as an indicator of business success. Programs aimed at improving financial literacy and the importance of financial reporting have shown a positive impact on SME performance. The training program for Dapur Umi Ila SMEs in Bojongkerta aims to empower participants through education on financial management, emphasizing the importance of maintaining accurate financial records for proper decision-making and sustainable business growth. By creating financial reports, Dapur Umi Ila SMEs are expected to be more concerned about operational finances so that they can learn to make decisions based on relevant and reliable financial reports..

Human resource (HR) planning and development is an important foundation in supporting the achievement of strategic organizational goals. This article comprehensively discusses the HR needs planning process in the managerial and operational context, as well as sustainable HR development strategies. The method used is a literature study with a descriptive approach to explore concepts, theories, and best practices in HR management. The results of the study indicate that HR planning not only includes recruitment and training, but also talent management, career development, and structured performance evaluation. On the other hand, HR development strategies focus on improving competencies through technical training, leadership development, and soft skills to face changes in the business environment. The synergy between planning, operational implementation, and HR development is very important to form an adaptive, competitive, and sustainable organization.  

The Occupational Safety and Health Management System (SMK3) has an important role in creating a safe and productive work environment, especially in the manufacturing industry which has high risk potential. This research uses a literature study approach to evaluate the concept, implementation, and impact of SMK3 on operational performance. The results show that consistent implementation of SMK3 can reduce the number of work accidents, improve the efficiency of the production process, and encourage the creation of a positive safety culture. However, several obstacles are still faced, such as low awareness and compliance with safety procedures and weak supervision. Therefore, the active involvement of all parties, from management to employees, as well as regulatory support from the government is needed to ensure the effectiveness of SMK3 in the long term and improve industrial competitiveness.

Bank Ekonomi Rakyat Mangatur Ganda has great potential in improving the performance of Micro, Small, and Medium Enterprises (MSMEs) through effective credit distribution and targeted information delivery, especially for segments that have not been optimally served. Optimizing the role of banking is carried out through various strategies, such as socializing credit programs, providing convenience in the credit application process, implementing outreach strategies, improving service quality, and financing in potential sectors. In addition, the use of information technology is key to expanding service coverage and increasing operational efficiency. Strategic partnerships with the government, other financial institutions, and MSME communities are needed to create an inclusive and sustainable business ecosystem. With management commitment and implementation of targeted strategies, Bank Ekonomi Rakyat Mangatur Ganda has a great opportunity to significantly encourage MSME growth and contribute to improving the welfare of the wider community.

Research aims to design and develop a boiler system for heating Marine Fuel Oil (MFO) 180 CST by integrating Internet of Things (IoT) technology to enhance efficiency and operational monitoring. The methods used include boiler system design, selection of types and materials according to international standards, and the implementation of an optimal combustion system. IoT sensors are strategically placed to monitor key parameters such as temperature, pressure, and fluid flow in real-time. The collected data is transmitted to a cloud platform, enabling remote monitoring and automated performance analysis through a web or mobile-based application.. The research results indicate that IoT integration in the boiler system improves fuel heating efficiency, optimizes energy consumption, and facilitates easier monitoring and process control. Testing includes pressure tests, combustion efficiency, steam capacity, and material durability, with real-time monitoring to support performance analysis and early problem detection. Operational data evaluation allows for design adjustments or system settings to further enhance energy efficiency. With this innovation, the boiler system can operate more optimally, support energy efficiency, and facilitate predictive maintenance for sustainable industrial operations. The implementation of IoT in this system is expected to improve safety, effectiveness, and automation in boiler management, making it a more reliable and modern solution.

This study aims to analyze the effectiveness of Standard Operating Procedure (SOP) training on improving employee work competencies at PT Prima Sejati Sejahtera, a manufacturing company located in Central Java. SOP training that is organized in a structured and routine manner is expected to improve the quality of employee performance in accordance with applicable operational standards. This research uses a qualitative approach with data collection techniques in the form of in-depth interviews with employees involved in SOP training. The results of the study showed challenges such as unequal understanding between employees, time constraints, lack of in-depth interaction during training. Nonetheless, the training was still influential in improving employee competence and performance, although there were some barriers that affected its effectiveness. Therefore, the company needs to evaluate and improve the training materials, methods, and time so that it can be more optimal in improving the quality of employee performance.

In the face of increasingly intense business competition, improving operational performance has become a critical priority for companies. One widely adopted strategy to achieve efficiency is the Just In Time (JIT) system. This study applies a Systematic Literature Review (SLR) method to analyze the impact of JIT implementation on companies' operational performance. The findings reveal that JIT significantly contributes to reducing storage costs, enhancing production efficiency, speeding up distribution processes, and increasing operational flexibility and customer satisfaction. However, the success of JIT implementation largely depends on effective coordination with suppliers, technological readiness, and the competence of human resources.

The rapid growth of e-commerce has driven companies to seek more effective strategies to enhance logistics efficiency and customer satisfaction. This article examines the synergy between artificial intelligence, strategic location determination, and digital marketing in supporting the performance of digital supply chains. This multidimensional approach demonstrates that integrating cutting-edge technologies with precise location strategies and data-driven marketing can create superior customer experiences and more efficient operational costs. This study is based on a literature review of ten recent related studies. Moreover, it highlights consumer behavior shifts due to the digitalization and globalization of supply chains.  

Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving environmental performance. This study explores the application of hybrid ML models in achieving carbon neutral goals through dynamic process optimization and energy control in industrial settings. Literature Review: Hybrid ML models integrate different machine learning techniques to handle complex and dynamic environments effectively. Ensemble learning methods, such as boosting, bagging, and stacking, combine multiple algorithms to improve predictive performance and robustness. Reinforcement learning (RL), on the other hand, enables real time decision making and adaptation based on trial and error interactions with the environment. In energy optimization, these models are used to reduce energy intensity and carbon emissions, enhancing overall operational efficiency. Previous studies have demonstrated the effectiveness of ML models in energy management, but challenges such as data quality, model integration, and computational complexity remain. Materials and Method: The study applies hybrid ML models combining ensemble learning and RL to optimize energy consumption and minimize carbon emissions in industrial processes. Data from real time sensors and operational parameters are used to train the models. The ensemble learning component improves the accuracy of energy predictions, while RL ensures dynamic process adjustments in response to fluctuating energy demand. The models were tested in various industrial settings, including manufacturing processes, smart grids, and microgrid systems. Performance metrics such as energy efficiency, carbon emissions reduction, and operational costs were evaluated to assess the effectiveness of the models.  Results and Discussion: The hybrid ML models achieved significant reductions in energy intensity (15-20%) and carbon emissions (18-25%). The real time adaptability of the RL component allowed the models to adjust energy consumption patterns dynamically, improving energy efficiency and reducing waste. The models demonstrated their ability to adapt to varying operational conditions, ensuring optimal energy use. A cost-benefit analysis showed that the hybrid models provided substantial energy savings and reduced operational costs, with a return on investment (ROI) of 30-35% within the first year of deployment. However, challenges such as computational complexity and data quality issues were identified, highlighting the need for further refinement in model development.

Aquaculture is a vital sector in global food production, providing essential protein sources. However, the industry faces significant challenges, including high energy consumption and environmental impact. The integration of renewable energy, particularly solar power, with automation and IoT systems offers a promising solution to enhance energy efficiency, sustainability, and productivity in aquaculture operations. This study aims to evaluate the effectiveness of solar powered autonomous systems in reducing energy usage, improving operational efficiency, and promoting environmental sustainability in aquaculture. Literature Review: Recent research has explored various technologies, such as Digital Twins (DTs) and Precision Fish Farming (PFF), which integrate IoT sensors for real time monitoring and optimization of fish farming operations. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, has further advanced the industry by enabling automated decision making and predictive analytics. Solar power integration with IoT systems has been shown to significantly reduce operational costs, minimize carbon emissions, and enhance the sustainability of aquaculture practices. These advancements have the potential to address the challenges of energy consumption and environmental degradation in the industry. Materials and Method: This research utilizes a hybrid solar powered IoT system for aquaculture, integrating solar panels, IoT sensors, and automated control systems. The system monitors key water quality parameters, such as pH, dissolved oxygen, turbidity, and temperature, to maintain optimal conditions for aquatic life. Data is collected through IoT sensors and analyzed through a cloud-based platform. A pilot study is conducted on a small scale aquaculture farm to evaluate the system's performance, including energy consumption, water quality management, and fish health. Energy savings, operational efficiency, and environmental impact are assessed. Results and Discussion: The integration of solar powered IoT systems significantly reduced energy consumption compared to traditional systems, with a notable decrease in grid electricity reliance. The system successfully maintained optimal water quality conditions, enhancing fish health and growth. Solar powered systems proved reliable, even in regions with variable sunlight, and demonstrated improvements in operational efficiency through automation. The environmental benefits were evident, with a reduction in carbon emissions and lower operational costs. The study highlights the feasibility of solar powered IoT systems as a sustainable solution for modern aquaculture operations.

The development of electric propulsion systems has become a major focus in efforts to provide energy-efficient and environmentally friendly air propulsion technology. One emerging innovation is the electric motor-based turbojet fan, which is expected to replace conventional fossil-fueled systems. As the need for energy efficiency increases, studies on electrical power consumption and airflow performance are crucial in supporting the development of new-generation propulsion systems. This study aims to evaluate the relationship between nozzle angle and the characteristics of electrical power consumption and airflow velocity in a double-spool turbojet fan. The method used is an experimental test with an ESP32-based control system. The duty cycle is set at 80% to maintain operational stability. Research data is obtained through measurements of electrical current, voltage, and airflow velocity. The nozzle angle variations tested include 13°, 19°, and 25°. The test results show a significant difference between nozzle angle variations on electrical power consumption and wind speed performance. The 13° nozzle angle produces the highest electrical power consumption, indicating a greater energy requirement to maintain airflow. Conversely, the optimal wind speed was found at an angle of 19°, indicating a balance between energy efficiency and aerodynamic performance. Meanwhile, an angle of 25° showed a decrease in performance in terms of both power and speed, making it less effective. In conclusion, the nozzle configuration has a direct influence on energy consumption and fluid dynamics in electric turbojet fan systems. This research provides an important contribution to the design of electric-based propulsion systems by emphasizing efficiency and performance aspects, while supporting the transition to environmentally friendly technologies.

This study explores the integration of AI-driven process optimization in Waste-to-Energy (WtE) systems to enhance urban sustainability. The research focuses on designing a gasification-based WtE system, incorporating AI predictive control to optimize energy conversion processes. The AI system adjusts operational parameters in real-time, improving energy conversion efficiency by 25% and reducing carbon emissions by 40%. Additionally, the system's waste-to-energy conversion rate is projected to increase by 20%, and operational costs are expected to decrease by 30%. Data collection and analysis are carried out using advanced sensors to monitor key parameters such as temperature, gas composition, and energy output, which are then processed by machine learning algorithms for predictive analysis. The results show that the AI optimization significantly enhances system performance, offering a sustainable solution for urban waste management. The study highlights the technical and operational challenges of integrating AI into existing WtE systems, including the need for infrastructure upgrades and scalability considerations. It also discusses the socio-economic impacts, including job creation, reduced energy costs, and improved public health. The findings demonstrate the potential of AI-based WtE systems in reducing waste, generating clean energy, and mitigating climate change, positioning them as a viable solution for sustainable urban development.

This study aims to analyze the suboptimal performance of hydraulic pump system on hatch cover performance on MV. Emerald Indah using USG (Urgency, Seriousness, Growth) method and data collection techniques in the form of observation, documents, and interview. The purpose of this study is to determine the causes, effect and efforts in solving the problems discussed. The results of the study indicate that several factors cause the hydraulic pump system to not function optimally , including dirty filters, leak in the hydraulic pump and pipe, and operation that is not in accordance with procedures. The effect of the suboptimal hydraulic pressure which ultimately becomes the main problem that inhibits the hatch cover opening process. To overcome this problem, improvements are needed such as periodic filter cleaning, replacement of leaking components, and increasing crew understanding of operational procedures. This research is expected to provide insight for related parties in improving the performanceof the hydraulic pump system and the efficiency of the loading and unloading process on ships.

The integration of solar powered IoT irrigation systems in precision agriculture offers a sustainable solution to address water scarcity and enhance crop productivity. By leveraging real time data from soil sensors, weather APIs, and machine learning algorithms, these systems optimize irrigation schedules and improve water use efficiency. This research explores the potential of integrating renewable energy sources, such as solar power, with edge computing in smart irrigation systems to promote sustainable agricultural practices. The study aims to evaluate the performance of the proposed system in terms of water savings, crop yield, energy efficiency, and adaptability to varying climate conditions. Literature Review: Previous studies highlight the importance of smart irrigation systems in reducing water waste and improving crop yield through real time monitoring and automated decision making. However, existing systems often lack the integration of renewable energy and edge computing, which are critical for ensuring sustainability and operational efficiency in rural agricultural settings. The combination of renewable energy with IoT devices offers a promising solution to reduce energy costs and carbon emissions, while edge computing enhances real time data processing, ensuring prompt and accurate irrigation adjustments. Materials and Method: The proposed system integrates solar powered IoT devices, soil moisture sensors, weather data APIs, and edge computing devices to manage irrigation. Machine learning algorithms and evapotranspiration models are used to predict irrigation needs and optimize scheduling based on real time data. The system's performance is evaluated through metrics such as water savings percentage, crop yield improvements, and energy consumption, with a comparative analysis against traditional irrigation methods. Results and Discussion: The results indicate that the system successfully reduces water usage by 30% to 40%, increases crop yield by 25%, and operates with energy autonomy, powered entirely by solar energy. The system's adaptability to varying climate conditions ensures optimal crop growth, even under environmental stresses. The integration of renewable energy and edge computing significantly enhances the sustainability and efficiency of irrigation systems.

Archives management plays a crucial role in ensuring the accountability of an organization, as proper management of archives can enhance transparency and operational effectiveness. Based on observations made at the Maluku Province Regional Library and Archives Office, several issues were identified within the current archiving system. One of the key problems is the lack of knowledge about proper archives management, which causes significant barriers during the archiving process. The office employs two archivists with high school and diploma (D3) education backgrounds. Although they have attended archives management training, the current system remains ineffective, which in turn affects work efficiency, particularly in the process of searching for archives. In many instances, the required archives are either difficult to locate or entirely missing. This study aims to assess the impact of archives management on work efficiency at the Maluku Province Regional Library and Archives Office. The research employs quantitative analysis with a sample size of 42 employees. Data were collected through a survey method, using a questionnaire to capture relevant information from the participants. Simple linear regression analysis conducted using SPSS 24 revealed that archives management accounts for 35% of the variance in work efficiency, while the remaining 65% is influenced by other factors. The findings suggest that effective archives management has a positive and significant impact on employee work efficiency. Based on the results, several practical implications are suggested: (1) the current archiving system should be maintained and improved for better performance, (2) training and development programs should be implemented to enhance the skills of archivists, (3) archivists should be equipped with specialized skills in archives management to improve overall efficiency, and (4) ongoing coaching and mentorship for archivists should be provided to ensure continuous improvement.