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This study aims to analyze the integration of administration, state property management, human resources, and finance in supporting a facilitative immigration system. These four aspects are essential pillars for maintaining efficiency, effectiveness, and transparency in public service delivery within immigration institutions. However, their implementation often operates separately, causing inefficiency and delays in administrative decision-making. Using a descriptive-analytical approach based on literature review and regulatory analysis, this study finds that structured collaboration among administrative units strengthens internal coordination and improves service quality for the public. Administration functions as the foundation for documentation and record management, state property supports operational infrastructure, human resources drive organizational performance, and finance ensures program continuity and budget accountability. The integration of these components creates a more adaptive, transparent, and accountable work system to face global challenges, especially in the era of digital public services. The study recommends implementing an integrated information system, enhancing personnel competencies, and optimizing budget planning and supervision to achieve professional and competitive immigration governance.

This study aims to analyze the financial risk of PT Smartfren Telecom Tbk during the 2014–2023 period, focusing on both short-term and long-term liquidity aspects. The analysis employs financial ratios as measurement tools to assess the company’s financial stability and its ability to fulfill financial obligations within their respective time frames. The ratios used include the current ratio, quick ratio, interest coverage ratio, and cash flow-to-debt ratio. The results indicate that the company faces significant challenges in maintaining short-term liquidity, as reflected in the consistently low values of the current and quick ratios throughout the observation period. This condition suggests a limited ability of the company to meet its short-term obligations using available assets. In terms of long-term liquidity, although there are efforts to strengthen the capital structure, the company still encounters difficulties in meeting its long-term debt obligations. This is evident from the low interest coverage ratio and cash flow-to-debt ratio. Therefore, improving operational efficiency, implementing more effective cash management, and undertaking financial restructuring are essential measures to strengthen the company’s liquidity position sustainably.

This study aims to analyze the strategic role of the shipping agent, specifically PT. Naval Global Trans Belawan Branch, in ensuring the smooth flow of the maritime logistics chain. The shipping agent functions as a crucial intermediary coordinating contasiner distribution, bridging the interests of cargo owners, shipping companies, and the Belawan Port authority. The research utilizes a descriptive qualitative approach, with data collection performed through field observation and documentary study within the Belawan Port environment. The findings identify that the shipping agent holds broad responsibilities, commencing with container booking according to the required type and size, scheduling vessel arrivals and departures, managing customs and port documentation, and monitoring container movements (from the depot to loading onto the vessel). This role is highly instrumental in determining port throughput efficiency. However, in carrying out its functions, the shipping agent encounters several significant challenges. These constraints include limited container availability, disruptions in the port information system which is not yet optimally integrated, and dynamic changes in export-import regulations. These obstacles potentially cause operational delays and an increase in logistics costs. The study concludes by emphasizing the importance of better information technology integration between the shipping agent and the port authority. Furthermore, enhancing the quality of human resources (HR) through training and certification is key to ensuring that agents can respond to regulatory changes and operational challenges quickly and professionally.

Background: Maritime engineering has traditionally relied on reactive and preventive maintenance strategies, often leading to operational inefficiencies, unplanned downtime, and excessive costs. With the rise of smart ship technologies, predictive maintenance (PdM) has emerged as a data-driven solution, leveraging sensor-based monitoring and real-time diagnostics to optimize ship maintenance. However, its integration into maritime education remains underexplored, particularly in training vessels used for vocational learning. Original Value: This research contributes new insights into the feasibility, effectiveness, and educational relevance of predictive maintenance in maritime vocational training. Unlike previous studies that focus on commercial ship applications, this study examines PdM within the context of training vessels at Poltekpel SULUT, bridging the gap between academic training and industry expectations. Objectives: The study seeks to answer: How does predictive maintenance improve the efficiency, cost-effectiveness, and reliability of naval auxiliary systems in training vessels? Methodology: A qualitative approach was employed, integrating sensor-based performance analysis, structured interviews, and questionnaire surveys involving cadets, instructors, and industry professionals. Data were analyzed through thematic categorization, cross-group comparisons, and narrative synthesis. Results: PdM demonstrated high effectiveness in reducing downtime (92/100), optimizing maintenance efficiency (91/100), and aligning with industry practices (89/100). However, challenges in sensor accuracy (85/100) and training integration were identified. Conclusions: The findings highlight the necessity of incorporating predictive maintenance into maritime training curricula to equip future engineers with the skills required for Industry 4.0 maintenance solutions, ensuring better operational efficiency and sustainability in the maritime sector.

The increasing integration and digitization of smart grid systems have exposed them to a variety of security threats, necessitating robust security measures to ensure their reliability and efficiency. This paper proposes a novel Digital Twin-Based Cyber-Physical Security Framework, incorporating AI-driven predictive maintenance and zero-trust architecture to address the evolving challenges of securing smart grids. By leveraging digital twin technology, this framework creates a real-time virtual representation of physical systems, enabling continuous monitoring and simulation for enhanced security and operational performance. Zero-trust security principles are integrated to ensure that no entity, whether inside or outside the network, is trusted by default, thus significantly reducing the risk of cyber-attacks. Additionally, AI-driven predictive maintenance enhances the framework’s reliability by proactively identifying potential failures before they occur, reducing downtime and improving system resilience. Through the development and simulation of this framework, including attack and failure scenarios, the paper demonstrates that the proposed system outperforms traditional methods in terms of anomaly detection, system downtime, and response times. The integration of predictive maintenance allows for early identification of component failures, thus enhancing the overall resilience of the grid. The zero-trust architecture further strengthens the cybersecurity posture, preventing unauthorized access and attacks. The study also identifies challenges, such as data synchronization and scalability, which must be addressed for broader implementation in large-scale smart grid systems. The findings suggest that the proposed framework could play a critical role in the future evolution of smart grid security, offering valuable insights for researchers and practitioners.  

Bank Syariah Indonesia (BSI) faces challenges in optimizing financial performance and market valuation following the merger process in 2021. This study aims to analyze the influence of Third Party Funds, liquidity, and Islamicity Performance Index on BSI stock prices during the period 2021-2025. The research employs multiple linear regression analysis method using monthly data from BSI financial reports and stock price data from the Indonesia Stock Exchange. The results indicate that Third Party Funds have a negative but non-significant effect on BSI stock prices, suggesting that increases in Third Party Funds do not automatically enhance stock valuation as investors are concerned about the profit-sharing burden that must be paid. Liquidity has a positive and significant effect on stock prices, demonstrating that fund distribution efficiency is the primary factor evaluated by investors. The Islamicity Performance Index has a negative and significant effect on stock prices, confirming that investors interpret high sharia compliance indices as reducing profitability for shareholders. This study confirms that investors in evaluating Bank Syariah Indonesia stocks prioritize operational efficiency over operational scale or sharia compliance orientation.

This article presents a review study that proposes a blended model combining actual programming techniques with queuing theory to improve the performance and service quality of service systems. The main objective is to design a system that is capable of serving customers as efficiently as possible, using solutions derived from queuing theory to regulate and optimize customer flow, while applying accurate programming methods to ensure that the system operates correctly and in accordance with established standards. The study discusses how these two approaches complement each other and demonstrates that integrating them provides a balance between operational efficiency and the quality of services delivered. To illustrate the effectiveness of this hybrid model, a case study is examined to highlight the practical impact and real-world implications of the proposed framework. Both mathematical formulations and experimental analyses were employed to evaluate the model’s effectiveness. Findings indicate that this combined approach not only enhances system reliability but also provides measurable improvements in customer satisfaction and service outcomes. By offering a structured way to integrate queuing solutions with precise programming, this research contributes to the development of more sustainable and effective service management strategies. The model therefore has significant potential for broader application in industries that rely heavily on service delivery and customer flow optimization.

The DH Building of the Electrical Engineering Study Program at Udayana University faces significant challenges in energy efficiency, as it still relies on conventional electrical systems. User negligence, such as forgetting to switch off lights and air conditioners (AC) after use, often results in unnecessary energy waste and increased operational costs. This issue highlights the urgent need for smart solutions capable of automating energy management, reducing waste caused by human error, and supporting the creation of a more efficient and sustainable campus environment. To address this problem, this study designs and implements a smart building system based on the Internet of Things (IoT). The system employs a NodeMCU ESP32 microcontroller as the main processing unit, integrated with a series of sensors including a DHT22 sensor for monitoring temperature and humidity, an MQ2 sensor for smoke detection, a PIR sensor for motion detection, and a PZEM-004T sensor for monitoring energy consumption. Control of electronic devices such as lights and AC units is carried out both automatically and manually through relay modules connected to the system. All sensor data and control functions are accessed via a web interface developed using the Laravel framework and a MySQL database. The testing results indicate that the designed system was successfully implemented and functions as expected. Sensor testing demonstrated high accuracy compared to standard measuring instruments, while the electronic device control system achieved an average response time of approximately 3.6 seconds, proving its reliability. Overall, the system provides a comprehensive solution for energy consumption monitoring and control, while also enhancing comfort and safety in the DH Building, in line with the goals of energy efficiency and facility modernization.

The Student Evaluation of Lecturers (EDOM) at the Faculty of Engineering, Universitas Dr. Soetomo has historically been conducted via Google Forms and processed manually, resulting in slow response times, repetitive recap procedures, and insufficiently documented reporting validity. This study aims to design, build, and evaluate a web-based EDOM system using the Prototype Model (MODEL PROTOTYPE) to improve data collection efficiency, recap accuracy, and the effectiveness of feedback for teaching quality assurance. The development method comprises requirements elicitation with the Quality Assurance Unit through a review of SPMI documents and brief interviews, architectural and interface design (Laravel, MVC pattern, and MySQL), staged prototyping, and rapid iterations based on stakeholder feedback until functional conformity is achieved. The resulting system provides authentication and role-based authorization (Admin, GPM, Lecturer, Student), odd/even period management, a question bank employing a Likert scale, anonymous questionnaire submission, score recap per lecturer and per category (pedagogical, professional, personal, social), dashboard visualizations, and report export to support governance needs. Functional evaluation was conducted through black-box testing on core scenarios (login, period scheduling, submission, recap, and export) and indicated conformance to specifications. User acceptance evaluation employed the Technology Acceptance Model (TAM) to examine perceived usefulness, perceived ease of use, attitude toward use, and behavioral intention; the results indicate positive acceptance and potential for operational adoption. Practically, the prototype approach accelerates requirement alignment, reduces the risk of mis-specification, and facilitates change control, while the Laravel-based implementation supports maintainability, role-based access security, and further feature development. The study is limited to a single faculty; future work may include SSO integration, audit trails, and longitudinal, cross-semester analytics for more comprehensive monitoring of lecturer performance.

Financial management in hospitals is a crucial aspect to ensure the sustainability of quality health services. However, the complexity of financial data, which involves various budget components, often creates challenges for hospital management in conducting accurate analysis and budget planning. Therefore, a data-driven approach is required to present financial information in a structured and comprehensible manner. This study examines the application of the K-Means Clustering method to classify hospital financial data based on expenditure characteristics and patterns, with a case study at RSUD Rantau Prapat as part of a community service program. The financial data were analyzed through pre-processing stages, determination of the optimal number of clusters using the Elbow Method, and the implementation of the K-Means algorithm to generate more representative budget groups. The results indicate that clustering hospital financial data into three main categories—routine operational costs, medical service costs, and administrative/personnel costs—provides clearer insights into budget distribution. This supports hospital management in identifying budget allocation priorities, detecting potential inefficiencies, and improving the overall efficiency of financial governance. The limitation of this study lies in the data scope, which only involved a single hospital, thus restricting its generalizability. Future research is recommended to expand the scope to multiple hospitals and integrate alternative clustering methods to obtain more comprehensive results.

Healthcare workforce management has become increasingly critical in determining organizational economic performance and long-term sustainability. This systematic review examines the relationship between human resource strategies in healthcare settings and their impact on economic outcomes, with particular attention to the effectiveness of workforce planning, recruitment optimization, employee retention, and performance management systems. The objective of this review is to synthesize current evidence on healthcare workforce management practices and their influence on economic performance indicators across various healthcare organizations. A systematic literature review was conducted using multiple academic databases, including PubMed, Scopus, and Web of Science. Studies published between 2019 and 2024 that focused on healthcare workforce management and its association with economic performance were selected based on predefined inclusion and exclusion criteria. A total of 45 peer-reviewed articles met the eligibility requirements and were included in the final analysis. The findings reveal that strategic human resource management practices significantly correlate with improved economic outcomes in healthcare organizations. Institutions implementing comprehensive workforce management approaches demonstrated a 15–25% improvement in cost-effectiveness, resource utilization, and operational efficiency. Moreover, effective healthcare workforce management was shown to directly enhance organizational performance by reducing staff turnover costs, improving employee productivity, and strengthening service delivery quality. This review concludes that integrated and evidence-based human resource strategies are essential for healthcare systems aiming to achieve sustainable economic growth and resilience in the face of evolving healthcare challenges.

This study provides an in-depth analysis of the benefits of implementing a SAP-based Enterprise Resource Planning (ERP) system for end-users at PT XY, an Indonesian airport management company. A qualitative case study approach was applied through comprehensive in-depth interviews and direct observations of accounting division staff who actively utilize the SAP Financial Accounting (FI), Controlling (CO), and Materials Management (MM) modules as part of their daily operations. The findings demonstrate that SAP implementation significantly enhances work efficiency, data accuracy, and overall operational productivity across multiple business processes. The system facilitates seamless cross-departmental integration, reduces manual errors, accelerates financial reporting, and supports real-time, data-driven decision-making. Furthermore, SAP strengthens internal coordination by providing consistent, centralized, and easily accessible information to all relevant stakeholders. Key challenges identified include limited network access, server congestion during peak hours, and difficulties with remote connections when accessing the system outside the office environment. The company addressed these issues through regular user training, provision of secure Virtual Private Network (VPN) access, expansion of server capacity, and a strategic plan to migrate to cloud-based SAP S/4HANA to improve flexibility, scalability, and long-term system reliability. The findings not only enrich the literature on ERP adoption, with practical guidance for other organizations seeking to plan, implement, and evaluate ERP systems to meet their own business needs, including effective human resource planning and change management strategies.

This study aims to determine the implementation of financial management and infrastructure management on the quality of the learning process at Robbani Integrated Islamic Elementary School, Singosari, Malang. The background of this study is based on the importance of effective and efficient management of school resources to improve the quality of basic education as a foundation for student development. School financial management includes planning, management, supervision, and accountability of education funds, while infrastructure management focuses on the procurement, utilization, and maintenance of school facilities to support the learning process. The research method used is descriptive quantitative with a population of all teachers and education personnel at Robbani Islamic Elementary School, using data collection techniques in the form of questionnaires, documentation, and supporting interviews. Data were analyzed using descriptive statistics and hypothesis testing to examine the influence between variables. The results of the study indicate that financial management at Robbani Islamic Elementary School has been implemented based on the principles of transparency, accountability, and efficiency, reflected in the management of School Operational Assistance (BOS) funds and parent fees allocated for school operations, teacher competency improvement, and facility maintenance. In addition, school facilities and infrastructure such as classrooms, laboratories, libraries, and worship and sports facilities are already available although they still need development to better support technology-based learning. Statistical analysis revealed a significant influence of financial management and infrastructure on the quality of the learning process, as reflected in student exam results, academic and non-academic achievements, and parental satisfaction. This study recommends strengthening financial management through more careful planning and improving the quality of facilities and infrastructure to support active, innovative, creative, effective, and enjoyable learning (PAIKEM). The results of this study are expected to provide input for schools, foundations, and future researchers in developing educational policies.

In the digital era, the internet has become a primary necessity for people in both urban and rural areas, driving the development of wireless networks such as Wireless Mesh Networks (WMN) that connect nodes in a multi-hop, self-organizing manner. WMNs offer advantages including flexibility, resilience, automatic configuration, self-healing capabilities, and cost efficiency, making them suitable for various sectors, including industry, residential areas, offices, and education. This research employs a qualitative approach through literature review on wireless networks and Mesh topology. Descriptive analysis is conducted to evaluate the strengths, weaknesses, and operational mechanisms of Mesh topology. The findings indicate that implementing Mesh topology in wireless networks provides reliable, flexible, and fault-tolerant connectivity, as each node can function as both a router and a data transmitter/receiver. Although installation is complex and requires numerous cables or ports, Mesh topology remains an effective solution to the limitations of conventional wired and wireless networks. Its advantages in redundancy, security, and scalability make Mesh topology a viable primary choice for the development of modern networks.

This research aims to develop and evaluate the performance of a steam plant prototype designed as an alternative source of electrical energy to support the Vessel to Grid (V2G) concept. Utilization of backup energy on ships is becoming important as electricity demand increases and demands for a more sustainable electrical system. This system relies on ESP32 microcontroller technology as a control center that functions to monitor and control several key parameters, including steam pressure, combustion temperature, boiler water level, and the generated electrical voltage. The research method used is an experiment with a static and dynamic testing approach. Static testing is carried out to measure the performance of main components such as the boiler, turbine, and generator separately, while dynamic testing focuses on evaluating the overall system by involving the integration of sensors and supporting actuators. The test data is then analyzed quantitatively to determine the system's response to variations in steam pressure, temperature, and other operational conditions. The results show that the steam produced by the boiler is able to rotate the turbine, thereby driving the generator to produce electricity. The maximum voltage achieved is 25.7 volts at a steam pressure of 50 psi. The highest energy conversion efficiency was recorded at 4%, while the lowest efficiency was 0.9%. These findings demonstrate that, despite its relatively low efficiency, the prototype can function as an alternative energy source and emergency backup solution. Thus, this research provides an initial contribution to supporting the implementation of the V2G concept through the development of a small-scale steam plant-based energy conversion system.

This study aims to examine and analyze how the implementation of Standard Operating Procedures (SOP) impacts employee performance improvement at Chatter Lounge Restaurant, Gumaya Tower Semarang. The background of this research stems from initial observations and interviews that revealed inconsistencies in SOP implementation, particularly in aspects of grooming and staff attitudes toward guests. A qualitative descriptive method with a case study approach was employed to gain a comprehensive understanding of the phenomenon. Data were collected through in-depth interviews with four key informants, direct observations of operational activities, and digital documentation related to SOP practices. The data analysis followed the interactive model of Miles and Huberman, which includes three main stages: data reduction, data display, and conclusion drawing. The findings indicate that SOP implementation positively contributes to enhancing employee discipline, time efficiency, and accuracy in following service procedures, leading to a more standardized service quality. Nevertheless, the implementation is not yet fully optimal as several employees lack a comprehensive understanding of SOP content. Inhibiting factors include limited advanced training opportunities, one-way briefings that restrict interactive communication, and the absence of a performance-based reward system to motivate staff. The study highlights that while SOPs serve as a crucial guideline to improve consistency and professionalism, their effectiveness depends heavily on continuous reinforcement and employee engagement. Therefore, it is recommended that the restaurant management strengthen SOP implementation through ongoing training, more participatory internal communication, and the establishment of performance-based reward mechanisms to maximize employee motivation, ensure service excellence, and ultimately enhance guest satisfaction.

This research develops an automated temperature control system for water heaters, that is both efficient and stable, driven by the need for energy-saving heating solutions, particularly for marine applications. The main objective was to create an automatic system capable of maintaining water temperature within an optimal range while maximizing energy efficiency through the use of thermal storage materials. The methodology involved an on-off control system based on a microcontroller as the main controller, capable of processing temperature sensor data in real time. This system intelligently activates and deactivates the heater to keep the water temperature stable. Paraffin wax was used as a latent heat storage medium, playing a crucial role in gradually storing and releasing thermal energy to support temperature stability. An automatic water heater system based on the ESP32 microcontroller with an on-off control mechanism was successfully designed using paraffin wax combined with silica sand as a thermal storage medium. The addition of silica sand significantly enhanced heat conductivity and temperature stability. Test results showed a substantial reduction in energy consumption, with daily savings reaching Rp12,762.88, equivalent to 67% of total daily energy costs. Over a one-year period, the total savings amounted to Rp4,658,103.20, demonstrating that the paraffin wax–silica sand combination is highly effective in improving energy efficiency and reducing long-term operational costs.

This study aims to analyze the profitability and operational efficiency of Sube Huter credit union. Profitability is measured by the Net Profit Margin (NPM) ratio, while operational efficiency is measured using the Operating Cost to Operating Income ratio and several other indicators related to operational costs. The data utilized in this research consist of secondary data from Sube Huter's credit union financial reports for the period 2020 to 2024. The analysis was conducted employing the financial ratio method to assess the cooperative's profitability and operational efficiency. The results indicate that the cooperative's profitability falls into the unhealthy category with a consistent NPM of 2%, while operational efficiency is categorized as less healthy with a Operating Costs to Operating Income value approaching 97-98%. The primary cause of low efficiency is high operational costs, particularly employee salary expenses that are not commensurate with revenue. However, the indicator of operating costs to total receivables still demonstrates healthy performance. This study recommends the implementation of more effective cost management, financial product development, and increased transaction volume to enhance the cooperative's profitability and operational efficiency.

This study aimed to determine and analyze the influence of financial ratios on profit changes in telecommunications companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The financial ratios used in this study encompass four main groups: liquidity ratios, solvency ratios, activity ratios, and profitability ratios. This study employed a quantitative approach with an associative nature because it attempted to examine the relationship and influence between these financial variables on profit changes. The population in this study comprised all telecommunications companies listed on the IDX, while the sample selection was conducted using a purposive sampling technique with specific criteria, resulting in 15 eligible companies. The research data were then analyzed using panel data regression using EViews 12 software, with the best model selected being the Random Effect Model (REM). The results showed that simultaneously, liquidity, solvency, activity, and profitability ratios significantly influenced profit changes, thus concluding that the company's overall financial performance plays a significant role in determining the dynamics of profit generated. However, partial test results showed that the influence of each ratio was different. The solvency ratio has a significant negative effect on profit changes, indicating that the higher a company's debt level, the greater the risk of profit decline. Conversely, the profitability ratio has a significant positive effect, confirming that a company's ability to generate net profit is a major factor in increasing profit changes. Meanwhile, the liquidity ratio and activity ratio were not shown to have a significant effect on profit changes, indicating that short-term liquidity and operational efficiency are not sufficient to be the primary determinants in driving profit changes in the telecommunications sector.  

The need for environmentally friendly marine transportation continues to increase, especially in tourist areas such as Penyengat Island, Tanjungpinang, Riau Islands. In the local context, the design of electric boats has not been widely developed for small islands in Indonesia, even though the potential and urgency for its application is very high. Geographical constraints, limited charging infrastructure, and a lack of technical data are the main obstacles. This research focuses on the design and construction of an electric-powered tourist boat prototype with an asymmetrical catamaran hull type as an effort to support a sustainable transportation system. The boat design applies an asymmetrical catamaran hull configuration to improve sailing stability and energy efficiency. The propulsion system is controlled via a wireless PS2 joystick integrated with an ESP32 microcontroller, supported by a 24V DC motor powered by lithium-ion batteries and solar panels as a supplement. Test results show that the boat can operate stably with remote control, good energy efficiency, and zero emissions during operation. Some technical challenges encountered include limited operational duration due to battery capacity and high sensitivity of electronic components to water exposure. Overall, this prototype has great potential for further development as an environmentally friendly alternative for maritime transportation system. The stable catamaran hull design provides advantages in terms of comfort and safety, especially in calm or shallow waters. The electric propulsion system used has proven to be efficient and responsive, supported by a remote control mechanism that is easy to operate via a wireless joystick