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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.

Islamic financial management is a crucial element in sustaining the growth of the Islamic banking industry in Indonesia. This study aims to analyze how Islamic financial management practices are carried out in national banking by referring to the regulations set by OJK, Bank Indonesia, and DSN-MUI. Using a qualitative-descriptive approach, this study examines policy documents, regulatory frameworks, and operational practices of Islamic financial institutions. The results of the study show that the implementation of Islamic financial management has adopted Islamic principles through the structure of fund raising, financing distribution, and risk and compliance governance. However, implementation in the field still faces various obstacles, both from the internal side such as limited human resources and gaps in understanding of regulations, as well as from the external side in the form of accelerated digitalization, weak coordination between authorities, and legal uncertainty. This research emphasizes the need to strengthen the capacity of industry players, adaptive regulatory updates, and institutional synergy so that the Islamic financial system can grow sustainably and in line with sharia principles.

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.

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..

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.

Belawan Port as the main port in Indonesia plays an important role in international trade. The Main Harbormaster and Port Authority Office (KSOP) of Belawan has the authority to supervise operational activities at the Port including regulating stevedoring workers (TKBM). This regulation is implemented through the TKBM Monitoring System (SIMON TKBM) to manage workers efficiently, transparently, and safely. This study uses a qualitative descriptive approach with literature study methods, interviews, observations and documentation then analyzed using data reduction methods, data presentation and drawing conclusions. The results of the study showed that the role of KSOP is very central in regulating TKBM through SIMON TKBM which includes TKBM supervision, competency improvement, rule enforcement, and coordination with stakeholders. However, technical obstacles were also found including the failure of duplicate data management and the absence of an automatic age filter in the system, as well as practical obstacles, namely the lack of coordination regarding TKBM competency certificates.

The role of school administration is very important in carrying out the basic functions of Islamic educational institutions. School administration as the center for managing teaching and learning activities also covers various fields ranging from resource management, financial management, to planning and implementing academic policies. This research aims to identify the role of school administration in improving the operational effectiveness and quality of Islamic education. The method used in this research is library research, which aims to collect, analyze and compile information from various literary sources in order to obtain a comprehensive understanding of the topic being researched. The data analysis technique used is descriptive-qualitative, with the aim of describing and interpreting information obtained from the literature. This research shows that the role of school administration is very important in improving the operational effectiveness and quality of Islamic education. Good administration includes technical management, creating an environment that supports the moral and spiritual development of students. With effective implementation, it is hoped that schools will be able to provide Islamic education that is not only of academic quality, but can also shape students' character in accordance with Islamic values. It is hoped that this research can become a reference for policy makers and Islamic education practitioners in formulating better management strategies, so as to improve the overall quality of Islamic education.

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.

The port industry plays an important role in Indonesia's economic growth, but its operational activities pose a major risk to occupational safety and health (OHS). The aim is to analyze the management of occupational accident risk hazards at Tanjung Perak Port. And identify potential hazards in loading and unloading activities, use of heavy equipment, and worker safety. This study was conducted qualitatively, which showed that several risks were in the low category with 2 risks, medium with 25 risks, and high with 12 risks, so that these results require immediate control measures. The application of OHS management through the HIRARC method helps to systematically identify, assess, and control hazards. This study suggests increasing compliance with the use of personal protective equipment (PPE), optimizing work procedures, and regular safety training to significantly reduce occupational accidents.

This study aims to analyze the causes of data duplication in companies, its impact on operational efficiency, and the solutions that can be implemented to prevent and address it. Using a qualitative method with a library research approach, this study examines various literature related to data management. The findings indicate that data duplication is caused by a lack of standardization, input errors, and weak integration systems. The recommended solutions include the implementation of database management technology, regular data audits, and strict data governance policies. With the right strategies, companies can enhance efficiency and ensure data accuracy in business decision-making.  

 The purpose of this study is to analyze the implementation of Database Management System (DBMS) in improving the operational efficiency of companies. This study uses a qualitative research method through a literature review, where various academic sources and literature are analyzed to identify the benefits, challenges, and impacts of DBMS implementation on operational efficiency. The results indicate that DBMS helps in structuring data management, enhancing data security, and accelerating decision-making processes. Future research is suggested to conduct empirical studies with a quantitative approach to measure the impact of DBMS implementation more specifically across various industrial sectors.

One form of implementation of the Tri Dharma of Higher Education is industrial visit activities for the application of science, including industrial visits at the international level. This industrial visit was conducted at JJ Ardon Transport, located in Goes City, Zeeland, The Netherlands. This article aims to analyze the benefits and impacts on the enrichment of management knowledge and corporate management strategies at the global level applied to the companies visited. The methods used include direct observation, in-depth interviews, and documentation of operational practices in the company. The results of the discussion show that management practices, implementation of business strategies and modern technology have been implemented by JJ Ardon Transport and can be a reference for the management of similar companies in Indonesia. This article also provides recommendations for the implementation of the results of the visit in the development of higher education curricula and strengthening international collaboration.

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.

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.

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.

Technological advancements and digital transformation have significantly impacted business management, including the consulting sector. PQM Consultants faces challenges in managing inquiries, which are still manually handled using Microsoft Excel. This manual process results in fragmented data, delays in accessing information, input errors, and difficulties in real-time monitoring of inquiry statuses. These issues affect operational efficiency, data transparency, and timely decision-making.   This research focuses on developing a web-based inquiry management platform through the Design Thinking methodology, aiming to improve the efficiency and effectiveness of inquiry handling at PQM Consultants. Adopting a qualitative case study approach, the study gathers insights through in-depth interviews, direct observations, and document reviews involving consultants and support team members who are directly engaged in the inquiry process. Research participants consist of consultants and support team members directly involved in inquiry management. The study uses a Design Thinking approach, which focuses on solving problems through repeated refinement and actively involving users throughout the development process. This framework supports the development of creative solutions by deeply understanding user needs, defining key challenges, and continuously refining ideas through prototyping and testing (Costich 2021). The Empathize stage focuses on understanding user needs and challenges. The Define stage formulates the core problems specifically. The Ideate stage generates creative ideas as potential solutions. The Prototype stage develops an initial design of the platform, which is then tested during the Test stage to gather feedback for further refinement. The results indicate that the web-based inquiry management platform effectively addresses various challenges in managing inquiry data, such as access delays, input errors, and data fragmentation. The platform enables consultants to monitor inquiry statuses in real-time, access data transparently, and make faster and more accurate decisions.

In facing the challenges of globalization and the demands for improving the quality of education, madrasas, as Islamic elementary education institutions, are required to manage themselves inde-pendently and adaptively. This study aims to describe in detail the quality improvement manage-ment strategy based on madrasa management at MI Tarbiyah Islamiyah, analyze the supporting and inhibiting factors in its implementation, and formulate relevant and applicable alternative strategies for quality enhancement. This research uses a descriptive qualitative approach with data collection techniques including in-depth interviews, field observations, and document studies. The main informants consist of the head of the madrasa, a senior teacher, and the head of the madrasa committee. The results show that MI Tarbiyah Islamiyah implements quality management through participatory planning, the implementation of programs based on local needs, continuous evalua-tion, and strategic follow-up actions. Supporting factors include visionary leadership, teacher training, and active involvement of the madrasah committee. Meanwhile, the main obstacles are limited human resources, operational funding, and the utilization of technology. This study high-lights the importance of collaborative leadership, a quality-oriented work culture, and local adapta-tion in the sustainable implementation of madrasah-based quality improvement management.

Developing research and community service (P2M) applications is crucial in enhancing efficiency and accuracy in managing related data at higher education institutions. This research aims to design a web-based application that simplifies the data management process for research, community service, and associated activities at Universitas Informatika dan Bisnis Indonesia (UNIBI). The research engaged the Rapid Application Development (RAD) methodology to actively incorporate stakeholders throughout the application development lifecycle, thereby guaranteeing alignment with their requirements. The results showed that the developed Application effectively resolved inaccurate data displays, manual data collection, and inefficient validation processes. Key features include a more accurate dashboard, an automated article validation tool integrated with Google Scholar, and streamlined submission community service activities. The activity submission process enhances operational efficiency and improves transparency and accountability in managing academic data. This research contributes to the broader adoption of digital solutions in educational administration, offering significant improvements in data accuracy and management at UNIBI.