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This study aims to design and develop a functionally efficient and operationally effective Internet of Things (IoT)-based air quality monitoring system for radiology departments. The system utilises a DHT22 sensor integrated with an ESP32 microcontroller to monitor the temperature and humidity of diagnostic rooms in real time, and to display the data via the UdaraKu mobile application. The research method employed a quantitative experimental approach focused on measuring system performance, specifically the accuracy of the temperature and humidity sensors. The research model used was the Research and Development (R&D) method, aimed at transforming conventional air quality monitoring in radiology into a real-time digital system based on IoT. The research results indicate that the IoT-based monitoring system is capable of maintaining room temperature and humidity stability within the ideal range, namely 22–24°C and 50–60% RH, in accordance with international standards. This improvement in environmental stability has a direct impact on reducing noise in digital radiography images, as evidenced by an increase in the Signal-to-Noise Ratio (SNR). Instrument validation demonstrated a high level of reliability with a Cronbach’s Alpha value of 0.848, reinforcing the reliability of the data and the system. Overall, the IoT-based air quality monitoring system has proven effective in controlling noise in digital radiography images, improving the quality of diagnostic services, and supporting patient safety principles and operational efficiency within radiology departments.

Ship berthing and departure planning is one of the crucial aspects in supporting the operational effectiveness of shipping companies. This study aims to analyze the important role of planners in ship berthing and departure activities in supporting marketing activities at PT. Nusantara Pasifik Sentosa Belawan. The method used in this research is a descriptive qualitative approach through observation and documentation study. The findings indicate that well-planned and coordinated ship berthing and departure activities provide a significant contribution to customer satisfaction, delivery punctuality, and the company’s image in the eyes of business partners. Effective planning also helps the company maintain service reliability and improve operational efficiency in port activities. However, several obstacles were identified, including lack of coordination between departments, limited information flow, and schedule disruptions caused by external factors such as weather conditions and port congestion. These challenges can affect the smoothness of operational activities and indirectly influence the company’s marketing performance. Therefore, strategies are required to improve human resource competencies, enhance digital communication systems, and strengthen cross-sector collaboration. With a well-structured planning system, PT.Nusantara Pasifik Sentosa is expected to improve its service quality and increase its competitiveness in the national shipping industry.

This community service activity aims to improve the effectiveness of clean water distribution management through the implementation of a Water Level Control (WLC) system as an automatic control for water pumps and three-phase motors at a regional drinking water supply company in Lamongan. The methods employed include field observation, problem identification, system design and implementation, as well as periodic evaluation of system performance. The activity focuses on the water treatment unit by conducting control and monitoring of operational parameters such as frequency (Hz), pump pressure, and flow stability to ensure optimal water distribution according to consumer needs. The results indicate that the implementation of the WLC system enhances operational efficiency, minimizes human error, and supports more structured and sustainable equipment maintenance. In addition, this activity contributes to improving the knowledge and technical skills of personnel in operating, monitoring, and maintaining automated control systems. In managing automation-based technology in a professional and independent manner, human resource capacity is strengthened, while the quality of clean water services is also improved through this community service program.

In response to the evolving landscape of public healthcare services, hospitals are expected not only to maintain operational efficiency but also to adapt to the shifting needs and expectations of patients as healthcare consumers. The presence of non-BPJS patients in regional public hospitals plays a strategic role not only contributing to revenue diversification but also reflecting service quality, institutional competitiveness, and shaping public perception. The declining trend in outpatient visits by general patients at RSUD Balaraja over the past three years highlights the need to understand the factors influencing consumer behavior in determining revisit intentions. This study examines the effect of co-creation and hospital image on the revisit intention of outpatient general patients at RSUD Balaraja, with patient experience as a mediating variable. The research employed a quantitative explanatory design involving 278 outpatient general patients selected through purposive sampling. Data were collected via structured questionnaires and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results indicate that patient experience plays a significant mediating role in shaping revisit intention among general outpatients at RSUD Balaraja. These findings confirm that patient experience serves as a central factor in post-service evaluation processes, which ultimately drive patients’ intention to return. Therefore, hospitals need to enhance patient involvement in service processes (co-creation), improve public perception of institutional image (hospital image), and develop patient-centered service systems as a key strategy to increase revisit intention among general outpatients.

Community service is a form of implementation of the Tri Dharma of Higher Education which aims to make a real contribution to society through the application of knowledge and skills possessed by students. The rapid development of the business world requires every company to be able to manage operational activities effectively and efficiently. In carrying out company activities, administration has an important role in regulating various activities related to data recording, document management, and archiving company information. This service activity was carried out at CV. Stara Maju Perkasa with the aim of assisting in the implementation of more orderly and systematic operational administration. The method used is a descriptive method with a participatory approach through observation, interviews, and assistance in operational administration activities. The results of the activity show that the implementation of operational administration can improve the neatness of data recording, document management, and archiving of company archives so as to facilitate the process of searching for information. In addition, this activity also improves employee work efficiency and minimizes errors in administrative management. Thus, the implementation of good operational administration is able to support the smooth running of the company's activities as a whole.

Community service at the Visi Iy Nike production unit was carried out using a descriptive qualitative and participatory approach to understand real conditions and challenges in the field. The activities began with direct observation of the production process to map workflows, identify operational obstacles, and evaluate the efficiency of resources, including labor, machinery, and production time. In addition, in-depth interviews and group discussions were conducted to collect information regarding production constraints and strategies applied by the operators. The data were analyzed descriptively to identify gaps between production targets and actual outcomes. Based on these findings, several interventions were implemented, including operator skill training, assistance in production planning, and the application of simple lean manufacturing principles to reduce waste and improve efficiency. The results showed that the average production efficiency reached 77%, supported by skilled operators, adequate raw materials, and flexible management practices. Routine documentation and systematic recording of production targets also contributed to better monitoring, evaluation, and faster decision-making processes.

Tight competition in the footwear industry requires companies to carry out production processes effectively and efficiently. Good production management will have an impact on the quality of the products produced and the achievement of the company's production targets. The purpose of compiling this internship report is to study and analyze the shoe production process based on the operational management perspective at PT. XYZ. The benefits of the report discussed are as a direct means in the world of work and as evaluation material for the company. The FAJAR Internship Activity of the Sharia Business Management Study Program in 2025 was carried out at PT. XYZ in the production department. Data collection was carried out using several techniques, namely direct observation of the production process, interviews with related parties, and documentation during the implementation of the internship activities. Based on the results of the analysis carried out, the production process at PT. XYZ is divided into several stages, preparation of raw materials, cutting processes, pressing and trimming (hotpress), to quality control. The implementation of operational management has been quite successful with a clear division of tasks, but challenges remain, such as limited production time and coordination between departments. The conclusion of this internship report is that the implementation of operational management has supported the smooth running of production activities, although improvements are still needed. It is recommended that the company improve coordination between departments and conduct regular production process evaluations to improve process efficiency and product quality.

State finances rely heavily on tax revenues, yet tax avoidance remains a persistent obstacle that can reduce government income. This practice is commonly associated with internal corporate conditions. Therefore, this research examines how profitability, leverage, firm size, and capital intensity relate to tax avoidance behavior. Employing a descriptive design with a Systematic Literature Review (SLR), the study evaluates ten empirical articles published between 2021 and 2025 in Sinta and Scopus indexed journals. The analysis indicates that the influence of these internal factors varies across studies. Profitability and leverage demonstrate contradictory effects, as strong earnings and higher debt may stimulate aggressive tax planning through tax shields, but may also restrain avoidance to preserve corporate image. Firm size likewise presents inconsistent results due to regulatory and public attention. In contrast, capital intensity generally shows minimal influence because investments in fixed assets are directed toward operational efficiency. These findings provide valuable considerations for policymakers to strengthen tax deduction regulations and encourage responsible corporate tax compliance.

This internship program aims to find out the important role of management accountability in controlling operational costs to improve financial performance in savings and loan cooperatives of Bahtera Sejahtera Credit Union.The research method used is a descriptive qualitative approach with data collection techniques through observation,interviews,and documentation. The role of management accounting in controlling operational costs to improve financial performance in the Bahtera Sejahtera Maumere Credit Union savings and loan cooperative,it can be concluded that management accounting has a very important role in supporting management decision-making.Through the application of management accounting,cooperatives can plan,control,and evaluate operational costs more effectively and efficiently. Controlling operational costs through budgeting,cost analysis,and internal financial reporting can help management identify cost wastage and improve resource use efficiency.This has a positive impact on the financial performance of cooperatives,which is reflected in increased operational effectiveness and financial stability. Thus,the implementation of good management accounting in the Bahtera Sejahtera Maumere Credit Union savings and loan cooperative can be a strategic tool in improving financial performance and supporting the sustainability and growth of the cooperative can be a strategic tool in improving financial performance and supporting the sustainability and growth of the cooperative in the future

This paper was written with the aim of analyzing the role of stevedoring workers (TKBM) in loading and unloading activities carried out by the Loading and Unloading Company (PBM) FT. Gelora Perkasa Belawan. In collecting data, the author utilized two approaches, namely field research and library research. Labor efficiency is a key factor in increasing operational productivity in the port sector, however, various problems are often found such as delays, low productivity, and work inefficiencies caused by weak monitoring and performance monitoring systems. In this study, a qualitative approach was used through field methods and library methods, on the operational activities of TKBM in the company. The results of the study indicate that the implementation of structured work and periodic evaluations can improve work discipline, accelerate loading and unloading times, and reduce operational costs. In addition, the role of management in providing constructive feedback and periodic training has also proven effective in supporting labor efficiency. Thus, optimizing the role of TKBM will have a direct impact on improving the performance of PBM PT. Gelora Perkasa Belawan, which ultimately contributes to the smooth flow of goods and economic growth in the Belawan port area.

The coal loading and unloading process is a crucial stage in maritime operational activities that requires effective coordination among vessel crews, stevedoring companies (PBM), and supporting service providers such as tugboats and cargo handling equipment. This study aims to analyze the implementation of coal loading and unloading operations using the ship-to-ship (STS) method on TB. ESA III by PBM PT. Adi Guna Putera Pangkalan Susu. The research employed field observation and library research methods to obtain relevant and accurate data. The results indicate that the ship-to-ship coal handling operation conducted by PBM PT. Adi Guna Putera Pangkalan Susu improves loading and unloading time efficiency, minimizes the risk of distribution delays, and enhances communication and coordination among involved parties. However, several technical challenges were identified, including adverse weather conditions, equipment limitations, and inadequate crew understanding of STS procedures. These constraints require mitigation through improved training programs, regular equipment maintenance, and strengthened occupational safety measures. Overall, the ship-to-ship coal handling method provides a positive contribution to the effectiveness of energy distribution, provided that it is supported by competent human resources and adequate operational facilities.

High-quality ship agency services are a key element in enhancing customer satisfaction and competitiveness within both national and international shipping sectors. This study aims to identify effective strategies for improving the quality of agency services at PT. Trans Shipping Agency Batam. The research methodology employed includes field research through direct observation and discussions, as well as library research using relevant books and journals as references. The findings indicate that PT. Trans Shipping Agency Batam has implemented strategies focused on service quality, managing ship owner expectations, and providing transparent evidence of service. Although operations are generally well-executed, certain obstacles persist, such as delays in the clearance in/out process caused by administrative complexity and inter-agency coordination. Recommended development strategies include enhancing human resource competencies, strengthening coordination among port authorities (Quarantine, Immigration, Customs, and Harbor Master), and optimizing information systems to monitor vessel schedules in real-time. More intensive coordination is expected to minimize operational constraints and drive service efficiency within the maritime industry.

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

This research aims to design an Information Systems and Information Technology (IS/IT) strategic plan for Wyndham OPI Hotel Palembang to support operational efficiency and enhance the quality of five-star hotel services. The study applies the Ward and Peppard framework, supported by analytical methods including Value Chain,PEST,SWOT,Critical Success Factors (CSF), MOST and McFarlan Strategic Grid. Through these approaches, the current IS/IT condition, challenges, and opportunities for digital system development within the hotel environment were mapped. The analysis reveals that although the hotel has implemented technologies such as SiteMinder and the Rhapsody management system, there is a need to improve self-service check-in capabilities, strengthen IT infrastructure, and maximize digital technology utilization. The proposed strategy recommends the development of an integrated self check-in system, enhancement of network infrastructure, and employee training through an LMS platform. This strategic plan is expected to support the hotel’s digital transformation to remain competitive in the modern hospitality industry.

Economic empowerment of rural communities through the strengthening of Micro, Small, and Medium Enterprises (MSMEs) is a crucial pillar in achieving national economic independence. One of the fundamental obstacles faced by MSMEs in rural areas is financial exclusion due to low digital literacy and dependence on conventional cash transaction systems. The Community Service Program (KKN) of students from the State Islamic University of North Sumatra (UIN SU) in Pematang Tengah Village was designed to bridge this gap by optimizing the Indonesian Standard Quick Response Code (QRIS). Through an intensive participatory mentoring approach, students acted as agents of digital transformation who educated, trained, and facilitated 10 local MSME actors in adopting non-cash payment technology. The results of the program show a significant shift from digital skepticism to digital trust. The implementation of QRIS has been proven to increase operational efficiency, financial management accuracy, and strengthen the image of business modernity in the eyes of consumers. This article emphasizes that the role of students is not merely as information deliverers, but as catalysts of social capital that is crucial for the sustainability of digitalization at the village level.

Drug stockouts in hospitals pose significant risks to service quality, patient safety, and operational efficiency. This study aimed to analyze how drug demand planning and procurement processes at Johar Baru Regional General Hospital contribute to stockout occurrences and to develop data-driven recommendations based on supply chain management principles. A qualitative descriptive design was employed using data triangulation. Data were collected through in-depth interviews with the Head of the Pharmacy Installation, procurement staff, and warehouse pharmacists, complemented by direct observation and analysis of 2024 planning and procurement documents. Thematic analysis was conducted with the support of NVivo software to identify patterns and relationships among key variables, including drug demand planning, procurement, and inventory management.Findings reveal that stockouts stem from interconnected weaknesses in planning accuracy, procurement coordination, and inventory control systems. Effective stock management depends not only on increasing supply but also on improving data quality, integrating inventory information systems with operational workflows, and enhancing cross-functional collaboration. Recommended strategies include implementing a minimum stock alert system integrated with the Hospital Management Information System (HMIS), strengthening standard operating procedures for stockout response and procurement confirmation, improving integration between HMIS, the National Formulary, and budgeting systems, and applying consumption based planning methods combined with ABC VEN analysis to optimize inventory control.

Healthcare organizations are increasingly required to preserve the sustainability of their institutional values by ensuring high-quality services, operational efficiency, and rigorous adherence to risk governance frameworks. RSUD dr. Chasbullah Abdulmadjid Bekasi City continues to face considerable challenges in this regard, particularly due to the limited internalization of core organizational values, disparities in the cultivation of an adaptive culture, and inconsistent employee compliance with established risk management procedures. These issues highlight the necessity for a leadership paradigm grounded in service, empathy, and empowerment.This study investigates the extent to which servant leadership influences the creation and protection of corporate values, while examining the mediating roles of strong adaptive culture and employee compliance doing the implementation of risk management. Employing a quantitative explanatory survey design, the research collected responses from 153 hospital employees, and data were analyzed through Structural Equation Modeling (SEM) to evaluate both direct and mediated causal pathways among variables.The findings reveal that servant leadership significantly strengthens creation and protection of corporate values, not only through direct influence but also by enhancing cultural adaptability and reinforcing compliant behavior in risk-related practices. Leaders who embody service-oriented principles are shown to cultivate work environments that foster mutual trust, organizational learning, and value-based decision-making.This study contributes meaningful empirical evidence to the discourse on leadership, organizational culture, and compliance within public hospital settings. Institutional strategies should prioritize continuous leadership development and comprehensive risk governance training to secure long-term performance excellence and reputational resilience.

The healthcare sector is increasingly confronted with a VUCA environment (Volatility, Uncertainty, Complexity, and Ambiguity), requiring hospitals to adopt adaptive, resilient, and innovative strategies. This study aims to systematically review the evidence on smart hospital strategies in responding to uncertainty, particularly in improving service quality, operational efficiency, and patient satisfaction. A systematic literature review was conducted using major academic databases, including Scopus-indexed sources, Google Scholar, and Semantic Scholar, covering publications from 2020 to 2026. Articles were selected based on predefined inclusion criteria focusing on hospital management strategies in dynamic and uncertain environments. A total of 10–15 relevant studies were included and analyzed using thematic synthesis. The findings indicate that key strategies in addressing VUCA challenges include digital transformation (e.g., electronic medical records and telemedicine), adaptive and transformational leadership, agile management approaches, and patient-centered care. Digital technologies significantly improve efficiency and decision-making processes, while agile and adaptive leadership enhances organizational responsiveness and resilience. However, several studies highlight that technological advancement alone is insufficient without integrating humanistic values such as empathy, communication, and trust. In conclusion, the most effective hospital strategies in a VUCA world are those that integrate technological innovation with human-centered care. Hospitals must develop flexible, data-driven, and patient-oriented systems to ensure sustainability and competitiveness in uncertain environments. Future research should focus on longitudinal and experimental designs to strengthen causal evidence and explore the integration of digital systems with humanistic healthcare values.

The R05 Community Service Program (KKN), Subgroup 1 in Kalikatir Village, Gondang District, Mojokerto Regency, aims to implement hydram pump technology as an environmentally friendly and energy-efficient irrigation solution. This technology is designed to meet the water needs of 100 hectares of banana plantations, especially during the dry season. The implementation method includes initial surveys, design, manufacture, installation, and testing of the hydram pump, involving the participation of Kalikatir villagers. The results show that the pump is capable of lifting water to a height of 30 meters with 70% efficiency, although it has not yet reached the daily target. This technology has been proven to reduce operational costs and increase agricultural productivity. It is hoped that in the future, this technology can be further developed to improve its efficiency and sustainability.

The property and real estate sub-sector serves as a strategic pillar for investment in Indonesia, despite BPS (2023) data showing a growth slowdown to 2.18% due to macroeconomic pressures. Financial performance throughout the 2021–2024 period exhibited significant volatility, with profit growth contracting to –5% in 2022 before rebounding to 15% in 2024. These fluctuations reflect the dynamics of economic recovery and the success of corporate operational efficiency in navigating interest rate hikes and inflation. This study aims to determine the effect of Company Size, Capital Structure, Return on Assets (ROA), and Total Asset Turnover (TATO) on Profit Growth. The population used in this study is the Property & Real Estate sub-sector companies listed on the Indonesia Stock Exchange for the 2021–2024 period. This study uses secondary data with a population of 68 companies. The sampling technique used a purposive sampling technique, resulting in a research sample of 30 Property & Real Estate sub-sector companies. The analysis technique used is multiple linear regression analysis processed using the Statistical Package for the Social Sciences (SPSS) program. The results show that Capital Structure, Return on Assets, Total Asset Turnover, and Company Size influence Profit Growth.