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Maritime safety is a critical aspect of military ship operations, where mastery of Ship Salvage Equipment (PEK) becomes a fundamental competency for cadets of the Indonesian Naval Academy (AAL). This research aims to identify and analyze the benefits of knowledge of Ship Salvage Equipment (PEK) for AAL cadets in the context of professional competence development, operational readiness, and leadership character formation. Using a mixed methods approach with a sequential explanatory design, this study involved 312 AAL cadet respondents from three batches (2022-2024) selected through stratified random sampling. Data were collected through structured questionnaires, in-depth interviews, participant observations, and focus group discussions. Data analysis used descriptive and inferential statistics for quantitative data, as well as thematic analysis for qualitative data. The research results show that AAL cadets have a good level of PEK knowledge (score 78.6/100), high self-efficacy (3.68/5), and good operational readiness (3.72/5). As many as 85.6% of cadets acknowledge the very high benefits of PEK learning. The five main themes of benefits identified include: the development of operational technical competencies (37.2%), the enhancement of leadership abilities in critical situations (24.8%), the formation of mental resilience (18.9%), the development of quick decision-making skills (11.4%), and the improvement of a sense of responsibility for safety (7.7%). Cadets with good PEK knowledge demonstrate superior performance with a response speed 32 seconds faster, an error rate 23.4% lower, and an emergency communication score 18.2% higher. Factors influencing the effectiveness of PEK learning include the quality of instructors and teaching methods (β = 0.34), the frequency and variety of emergency simulations (β = 0.28), which together can explain 74.8% of the variance in learning effectiveness. This study provides recommendations for intensifying practical training, improving instructor quality, standardizing the curriculum to integrate technical and leadership aspects, and conducting continuous evaluations of the PEK learning program.

Hydraulic systems are vital components in modern naval vessel operations, controlling 60-70% of all ship operational systems. This research aims to comprehensively analyze the benefits of hydraulic system learning for Engineering Corps cadets at the Indonesian Naval Academy (AAL). The study employed a mixed methods approach with concurrent embedded design, involving 163 cadets for quantitative components and 20 cadets for qualitative components. Data collection techniques included structured questionnaires, pre-test and post-test cognitive tests, practical performance observations, and semi-structured interviews. Quantitative data analysis used descriptive and inferential statistics, while qualitative data was analyzed using thematic analysis. Results showed significant improvement in hydraulic system knowledge with large effect size (Cohen's d = 2.31) and average score increase of 28.8%. Cadets' perception of learning benefits was highly positive (M = 4.31 on a 5-point scale), with "Relevance to Operational Tasks" dimension achieving the highest score (M = 4.47). Practical performance showed 74.8% of cadets achieved good to excellent grades. Qualitative analysis identified five main themes: technical understanding transformation, practical competency development, theory-practice integration, soft skills development, and career motivation and orientation. Factors influencing learning benefits included instructor quality (β = 0.34), practical facility availability (β = 0.28), and learning motivation (β = 0.23). This research confirms that hydraulic system learning provides multidimensional benefits encompassing cognitive, psychomotor, and affective aspects, contributing to holistic professional competency development essential for success as Indonesian Navy technical officers.

This study comprehensively investigates the empirical impact of capital structure, profitability, and asset growth on the value of companies in the retail sector on the Indonesia Stock Exchange during the post-pandemic economic recovery phase (2021–2024). Adopting a quantitative methodology with purposive sampling of 12 entities (N=48), parameters were estimated using multiple linear regression after passing a rigorous classical assumption test including normality, multicollinearity, and heteroscedasticity. By proxiesizing the capital structure through Debt to Equity Ratio (DER), profitability through Return on Assets (ROA), and total asset growth to Price to Book Value (PBV), this study reveals the phenomenon of  market undervaluation with an average PBV of 0.17. The results of statistical tests confirm that these financial determinants partially and simultaneously have a significant influence on shaping the firm value. These findings provide a theoretical contribution regarding the relevance of funding policy and operational efficiency as crucial signals for investors in a volatile market landscape. The practical implications emphasize the importance of optimizing financial structure and operational performance to strengthen market confidence during the global economic transition period.

In the digital business environment, web-based Point of Sale (POS) systems play a vital role in supporting transaction processing, inventory management, and operational decision-making. Ensuring the functional reliability of such systems is essential, particularly in critical authentication features that regulate user access. However, undetected functional errors within login and registration modules may disrupt operations, compromise data integrity, and reduce user experience quality. Therefore, this study aims to evaluate the functionality of the Wingpos website, focusing specifically on the login and registration features. The research applies the Black Box Testing approach using the Equivalence Partitioning technique, which enables systematic functional validation by classifying input data into representative valid and invalid partitions without requiring access to source code. The testing process involved designing structured test cases, executing input scenarios, and comparing actual system outputs with expected results. The findings reveal that most authentication processes function in accordance with system specifications, as seven out of ten test scenarios produced expected outcomes. Nevertheless, three discrepancies were identified, including inconsistent error message validation in the login feature and the system’s inability to properly verify invalid email domains during registration. These results indicate that while the system demonstrates general functional reliability, certain validation mechanisms require refinement. In conclusion, the application of Black Box Testing with the Equivalence Partitioning technique proves effective in identifying functional gaps and supporting quality assurance processes in web-based POS systems, particularly in strengthening authentication feature reliability and improving overall system performance

This research is motivated by the efficiency of collecting and distributing zakat which has not been maximized. The targets in question include solving poverty problems, income distribution, and improving the welfare of the people and the state. This shows how important zakat is as one of the pillars of Islam. The method used in this study is qualitative descriptive research, namely by reviewing literature and conducting data analysis, studying literature from various sources of books, the internet, and also research journals that have the same topic as the researcher mentioned. The results of the study conclude that the Zakat Collection Strategy can be interpreted as an activity to collect funds and other resources from the community (either individuals, groups, organizations, companies or the government) which will be used to finance the institution's programs and operational activities in the end is to achieve the mission and goals of the institution in the field of distribution including the fields of Economy, Education, Da'wah, Health,  Social and Humanitarian. It is evidenced by the collection and distribution/distribution of zakat funds carried out by the Medan City Baznas experiencing a positive trend from year to year which is quite significant, having an impact on the performance of the Medan City Baznas to continue to increase and of course with public awareness to distribute zakat through official institutions is getting higher so that justice and welfare are created in kaffah.

This research discusses the problem of optimizing the selection of security team commanders at PT. Pelindo Daya Sejahtera (PDS) to increase operational effectiveness. The aim of the research is to develop a Decision Support System (DSS) using the Additive Ratio Assessment (ARAS) method to select the best candidate to become the best security team commander. The data used includes alternative data as well as criteria such as work experience, leadership skills and technical security knowledge. The ARAS method allows the assessment of candidates based on scores that reflect their performance against established criteria. The result is a rating, which helps management select the most suitable commander based on the rating.

This research discusses the factors that influence the performance of Accounting Information Systems (AIS) in companies, which are very important in supporting operational efficiency and decision making. This system plays a vital role in managing financial data, but is often hampered by problems with the quality of human resources, technology and data management. The theoretical study uses the Information Systems Success Model and Technology Acceptance Model to evaluate AIS performance in terms of system quality, information, services and user acceptance. This research methodology uses a qualitative approach with document analysis, reviewing journals and related research reports. The research results show that the main factors influencing AIS performance include HR skills, choosing the right technology, data quality, and user adaptation to the system. Therefore, companies need to invest in human resource development, choose appropriate technology, and ensure accurate data management. In conclusion, to improve AIS performance, companies must manage these factors well so that they can support more precise and efficient decision making.

This study focuses on black-box testing of JivaJoy software, an online product stock management and ordering system. The primary goal of this research is to evaluate the functionality and performance of the system's key features, including profile management, CRUD operations for admin and customer accounts, product stock management, shopping cart, order management, and AI counseling. Black-box testing was applied to assess whether these features meet expected operational standards and user requirements without considering the internal code structure. The test results indicate that most features function as expected. However, some issues were identified related to input validation, particularly with email format, phone number length, file uploads, and product stock management. Additionally, the order management and AI counseling features showed deficiencies in error handling and input validation. Based on these findings, the study recommends improvements in input validation, product stock management, shopping cart functionality, and AI counseling systems to enhance the reliability and performance of the JivaJoy platform. These enhancements are essential to deliver more efficient, secure, and optimal services, ensuring better user experiences and customer satisfaction.

The quality of education is one of the important issues that draws attention in various educational discussions in Indonesia. In educational organizations, as in any other organization, achieving good and effective organizational performance becomes the focus of education managers. The impacts of globalization, the development of science and technology, and modern learning models and methods are all contributing factors. This research refers to literature research. To obtain research data, the researcher collects, analyzes, and compiles sources from articles, books, and previous research papers on the application of strategic management in education. The researcher then supplements the strategic management data to improve the quality of education. Teachers and economic policy researchers have started meeting to discuss policy changes in management and how to respond to them. To achieve superior organizational performance, an organization must be able to compete in both human resources and finances. Both are crucial elements for an organization. The role of leadership is a key element in achieving this goal. Improving the quality of education in educational institutions, addressing global challenges, enhancing the quality of educational management, improving the quality of the learning process, improving the quality of human resources in education, as well as strategic management and operational management in building network management.

This article discusses the development of accounting information systems to improve efficiency and accuracy, focusing on a case study of the implementation of accounting program changes. Previous studies have shown that effective accounting information systems can significantly improve the quality of accounting and managerial information. The implementation of accounting program changes often involves the integration of information technology to improve the process of financial reporting, internal control, and analysis of company performance. Previous studies have shown that companies that adopt information technology in their accounting systems have a competitive advantage in managing and analyzing financial information more efficiently. Important factors in the development of accounting information systems are the need to ensure data accuracy, reporting speed, and real-time availability of information for internal and external stakeholders. This study also explores the positive impact of the use of accounting information systems on the company's operational efficiency and strategic decision making. Successful implementations show that modern accounting information systems are able to integrate various business functions, such as finance, inventory, and manufacturing, to improve the coordination and effectiveness of the organization as a whole. Thus, the development of accounting information systems not only improves the company's internal processes but also enhances the company's adaptability to rapid and complex changes in the business environment. This study provides a strong theoretical foundation for understanding the importance of information technology integration in the context of accounting program changes to achieve higher efficiency and accuracy goals.

The reliability of sterilization equipment, such as autoclaves, is essential to ensure patient safety, infection control, and operational continuity in healthcare facilities. Damage or malfunction of autoclaves may disrupt sterilization processes and pose significant risks to medical services. This study aims to develop an expert system for autoclave damage detection using the fuzzy logic method to support faster and more accurate diagnostic decision-making. The proposed system applies fuzzy inference to evaluate the level of damage based on input symptoms provided by users. By handling uncertainty and varying symptom intensities, the fuzzy logic approach enables proportional assessment rather than rigid rule-based classification. The system was designed through knowledge acquisition from technical experts and implemented using fuzzy membership functions and inference rules to determine damage severity levels. Experimental testing was conducted to evaluate system performance and diagnostic accuracy. The results indicate that the expert system successfully generated diagnosis outputs for all tested scenarios, achieving functional diagnostic accuracy within the defined test cases. The system was also able to calculate a quantified damage severity value of 11.6235981% based on the given symptoms, demonstrating its capability to assess damage levels numerically and objectively. Furthermore, the developed system significantly reduces the time required for damage detection compared to manual diagnostic procedures. Automating the evaluation process, it assists electromedical technicians in identifying faults more efficiently and taking preventive or corrective actions promptly. Overall, the implementation of a fuzzy logic-based expert system provides an effective, accurate, and practical solution for improving autoclave maintenance management and supporting healthcare service reliability.

The purpose of this study is to conduct a literature review of previous research on Good Corporate Governance (GCG) from 2020-2024.GCG refers to the systems and processes that direct and control companies to ensure transparency, accountability, and responsibility in decision making. The implementation of good GCG principles is expected to create a harmonious relationship between management, shareholders, and other stakeholders, so as to improve overall company performance. One aspect that is often studied is the effect of GCG on the company's financial performance. Financial performance, which is measured through various indicators such as profitability, liquidity, and operational efficiency, can be influenced by how well GCG is implemented. This study aims to identify the relationship between GCG implementation and corporate financial performance, and to examine whether better GCG can lead to improved financial performance. The study results show that strong GCG implementation is positively associated with improved financial performance, where companies with good governance tend to have higher profitability and lower financial risk. This research provides an important contribution for companies and stakeholders in designing governance policies that can support the achievement of long-term goals and corporate sustainability.  

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

Financial consolidation has become a crucial strategy for multinational companies in addressing increasingly intense global competition. It is often employed as a primary approach to expand market reach and drive corporate growth, ultimately affecting liquidity, equity-earning based measures, and profitability. This study specifically examines the impact of consolidation on a company's liquidity, equity-earning based metrics, and profitability using financial ratio analysis, including Current Ratio (CR), Earnings Per Share (EPS), and Net Profit Margin (NPM) as key indicators. Adopting a quantitative approach, the research utilizes secondary data from the financial statements of PT Indofood Sukses Makmur Tbk before and after consolidation in 2023. The methods applied include a comparison of financial statement items pre- and post-consolidation and a literature review relevant to financial performance analysis. The data analysis results reveal that post-consolidation, PT Indofood Sukses Makmur Tbk recorded an increase in liquidity ratio (current ratio) by 15.26%, reaching 1.9171, and an equity-earning based ratio (earnings per share) rise of 53.74% to 0.001309, which positively impacted the company. However, profitability ratio (net profit margin) declined by 22.81% to 0.1028, indicating challenges in cost management and operational efficiency following the consolidation.

The budget is an important tool in the managerial decision making process. As a structured financial guide, budgets help managers plan, coordinate and control company resources. Through budget preparation, managers can determine cost requirements, allocate resources effectively, and set financial targets that support the achievement of organizational goals. Additionally, budgets serve as performance evaluation tools, allowing managers to compare actual results with projections, identify deviations, and take necessary corrective actions. Using the right budget also helps management reduce health risks, increase operational efficiency, and ensure that strategic decisions are based on measurable and accountable information. Thus, the budget plays a crucial role in supporting a more rational and focused decision-making process.

This research was conducted to determine the effect of revenues and operational costs on the financial performance of hotel, restaurant and tourism subsector companies listed on the Indonesia Stock Exchange (BEI) in 2019-2023. This research uses 2 independent variables in the form of revenues and operational costs. The dependent variable is financial performance measured using the return on asset ratio. The population in this research is 50 companies in the hotel, restaurant and tourism subsector registered on the IDX in 2019-2023. Sampling used purposive sampling technique. The total research sample was 16 companies with 80 financial report data tested using multiple linear regression analysis. The results of the research that has been carried out show simultaneously revenues and operational costs have an effect on financial performance.

The purpose of this research is to analyze the financial performance of the Kediri City government in 2018-2023. This research uses a quantitative approach with descriptive analysis methods. The data comes from Kediri City regional expenditure data for the 2018-2023 period, which was obtained through the Kediri City Central Statistics Agency and the Kediri City Regional Revenue, Financial and Asset Management Agency. The data is processed using regional financial ratio analysis. This research shows that the average expenditure growth ratio of the Regional Government of Kediri City is not good because expenditure growth exceeds income, the average capital expenditure is 10.91% indicating good performance in regional development, the average percentage of operating expenditure is 85, This 45% shows that the operational expenditure performance of the City of Kediri during the 2018-2023 period showed good performance.

Radiology services are a crucial component of the healthcare system that requires efficiency in its processes. Resource limitations and increasing demand for services underscore the importance of improving efficiency. To enhance service quality and operational efficiency, the implementation of an integrated information system has become a key focus for hospital management. Improving service quality and operational efficiency through the application of an integrated information system is also dependent on the reliability and performance of the system itself. This study aims to examine the relationship between the implementation and performance of an integrated information system with service efficiency in enhancing service quality in the radiology department of RSUD Kota Bogor. The research uses a quantitative approach with two independent variables: the implementation of the integrated information system and the reliability and quality of the integrated information system. The dependent variable is the quality of radiology services, and the intervening variable is radiology service efficiency. Data collection methods include observations, questionnaires, and documentation studies. The sample consists of 30 employees working in the radiology department of RSUD Kota Bogor and 30 patients receiving services in the radiology department. Data processing and presentation were conducted using path analysis with Structural Equation Modeling (SEM-PLS) using SmartPLS software. The results of the data analysis indicate that: (1) The implementation of the integrated information system does not have a significant relationship with radiology service efficiency; However, the reliability and performance of the system do have a strong relationship with radiology service efficiency. (2) The implementation and performance of the integrated information system do not have a significant relationship with service quality in the radiology department. (3) Radiology service efficiency has a significant relationship with service quality in the radiology department. (4) Radiology service efficiency, as a mediator, is not strong enough to enhance the relationship between the implementation and performance of the integrated information system and service quality in the radiology department. This study is expected to provide a comprehensive overview of the relationship between the implementation and performance of an integrated information system with service efficiency in enhancing service quality in the radiology department. The findings may serve as input for the management of RSUD Kota Bogor in optimizing the use of an integrated information system to improve radiology service efficiency, which is expected to impact the quality of services in the radiology department.

Optimizing the performance of Linux-based operating systems for IoT applications in the trading sector is an important strategy in improving operational efficiency and competitiveness. This study explores Linux optimization techniques that can be applied to IoT systems to improve the speed, stability, and security of applications in the trading environment. This research method is carried out using descriptive qualitative through interviews, literature studies and observations. This study focuses on resource management and the implementation of advanced security features. Case studies on several real implementations show that by applying optimization techniques, such as process priority settings and routine updates, system performance can be significantly improved. The results of the study show that proper optimization can reduce system latency, increase data output, and strengthen security, which ultimately supports the success of IoT applications in the trading sector.    

The Utilization of GPS and GSM technology in operational vehicle monitoring offers convenience and efficiency in management. This research designs a GPS-based vehicle monitoring system that is integrated with vehicle maintenance management to assist companies in making decisions related to fuel efficiency, predictive maintenance scheduling, and safety aspects. By monitoring vehicle position and condition in real-time, companies can optimize travel routes, reduce travel time and reduce operational costs. The system also includes tire pressure and fuel percentage monitoring, which serve as important indicators in an accurate and sustainable vehicle maintenance strategy. This research uses quantitative methods to analyze various aspects in designing a GPS-based monitoring system that is integrated with operational vehicle maintenance management. With the resulting data, managers are able to identify trends that support predictive maintenance as well as preventive steps to reduce the risk of sudden damage. The research results show that the integration of GPS and GSM provides significant benefits in improving performance and reliability for vehicles, especially in the distribution and logistics sectors. The implementation of this system is expected to support the company in maintaining optimal vehicle performance and contribute to operational sustainability.