Publication Search

This interactive study examines the impact of green marketing on the development of competitive capabilities in Iraqi companies, highlighting its role as a strategic approach for achieving sustainable market advantage. Green marketing involves environmentally responsible practices in product design, pricing, promotion, and distribution, which contribute to building brand reputation and operational excellence. The study explores the relationship between green marketing initiatives and enhancing firms' competitive capabilities, emphasizing how eco-friendly practices influence performance and strategic positioning. By analyzing green marketing theory, the study provides a comprehensive understanding of how sustainability-focused strategies can strengthen innovation, differentiation, and customer loyalty. It underscores the role of green marketing in improving long-term competitiveness and aligning business goals with environmental responsibility. Using empirical studies and diverse sources, the research demonstrates that green marketing is not merely a branding tool but a core element in building strategic advantages, especially within Iraq’s evolving market and regulatory environment. The findings reveal a positive relationship between green marketing practices and competitive capabilities. Environmentally driven strategies improve firm performance, enhance responsiveness to market demands, and reinforce brand value, enabling companies to thrive in dynamic business contexts. Consequently, the research recommends adopting green marketing as an integral component of strategic planning for Iraqi companies to ensure resilience, sustainability, and competitive growth. In conclusion, the study highlights the positive impact of green marketing on enhancing competitive capabilities in the Iraqi context, affirming its importance as a foundational pillar in business strategy to address environmental challenges and achieve long-term success. Furthermore, it suggests future studies explore the specific challenges and opportunities of implementing green marketing in different sectors.

Enhancing the efficiency of renewable energy on ships is crucial for reducing dependency on fossil fuels. This research employs the Research and Development (R&D) method, aiming to design and implement a solar panel optimization system for battery charging, with a focus on increasing power efficiency and providing real-time performance monitoring. The system is designed using Maximum Power Point Tracking (MPPT) technology to maximize the solar panel's power output. A 200Wp solar panel with dimensions of 1290 x 760 x 30 mm was utilized. Static testing results show that the deployed sensors possess a high degree of accuracy, with an average error of 0.71% for the temperature sensor and only 1.81% for the light sensor used to monitor environmental conditions. Dynamic and system integration tests prove that the MPPT implementation significantly increases power output efficiency by 30.83% compared to a system without MPPT. Furthermore, the system with MPPT charges the battery approximately 27% faster. Additionally, the developed Modbus protocol-based monitoring system enables comprehensive and remote monitoring of key parameters such as voltage, current, temperature, and light intensity via a cloud database. Data communication reliability tests confirmed the system's capability to transmit entire data packets to a Google Sheets database at a periodic interval of 15 seconds without failure. Based on these results, the developed solar panel optimization system is feasible for implementation in maritime environments to enhance the utilization efficiency of renewable energy and the operational reliability of onboard systems.

The development of information technology has encouraged business actors, including small enterprises in the food and beverage sector, to adopt Accounting Information Systems (AIS) to support financial and operational management. Selesa Coffee & Eatery, as a small enterprise, has implemented ESB POS (Esensi Solusi Buana Point of Sales) to facilitate transaction recording and financial report management. This study aims to analyze the impact of implementing an ESB POS–based AIS on individual performance, organizational performance, and net benefits using the DeLone & McLean (2003) model framework. The research employed a qualitative approach with a case study strategy. Data were collected through interviews with managers and accounting staff, direct observation of the café’s operational activities, and documentation of system-generated financial reports. Data analysis was conducted using the Miles & Huberman model, which includes data reduction, data presentation, and conclusion drawing, along with triangulation to validate the findings. The results show that the implementation of ESB POS enhances individual performance by simplifying record-keeping, accelerating reporting, and reducing manual errors. At the organizational level, the system supports operational efficiency, transparency, and work coordination. In terms of net benefits, the system contributes to improved data accuracy, time efficiency, and provides support for evaluation and strategic decision-making. This study concludes that the implementation of an ESB POS–based AIS significantly contributes to the sustainability of small enterprises.

This study evaluates the service maturity of the e-Visa system at the Class I TPI Cirebon Immigration Office with reference to two ITIL 4 practices: Incident Management and Service Request Management. Operationally, the office acts as a user while technical handling is centralized at a national helpdesk. A mixed-method approach was applied, combining staff/admin questionnaires with instrument validity, reliability checks, snapshot analysis of helpdesk tickets, and brief observations. The analysis identifies key issues: the absence of a locally agreed Service Level Agreement (SLA), delays in resolving high-priority incidents, and inconsistent communication of status and estimated time to resolution. Findings indicate a gap between perceived process maturity and ticket-based operational performance, especially for high-priority cases. The study proposes actionable improvements formalizing SLAs with the central team, a fast-track for urgent cases, concise submission guidance for routine requests, and results of the web-based recommendation dashboard. These results are relevant for similar user units operating under centralized support.

This study aims to analyze the influence of Good Corporate Governance (GCG) principles on the financial performance of Koperasi Pemasaran Trangsan Manunggal Jaya, including transparency, accountability, responsibility, independence, and fairness. Data were collected through questionnaires, observations, and literature studies involving 46 respondents knowledgeable about GCG implementation within the cooperative. The data were analyzed using multiple linear regression, t-test, F-test, and coefficient of determination (R²). The results show that transparency, accountability, and responsibility have a significant effect on financial performance, while independence and fairness do not. The regression model is statistically significant, with an R² value of 0.549, indicating that the independent variables explain 52.8% of the variation in financial performance, while the remaining 47.2% is influenced by other factors outside the model, such as work environment, company size, market competition, operational costs, and working capital

The rapid advancement of intelligent systems has accelerated the adoption of data-driven solutions across diverse industries, creating an increasing need for models that are both efficient and privacy-preserving. While traditional centralized machine learning approaches offer strong predictive capabilities, they often struggle with challenges related to data privacy, network latency, and computational inefficiency-especially in distributed environments with heterogeneous devices. To address these limitations, recent research has explored hybrid learning frameworks that integrate federated learning, edge computing, and dynamic model optimization techniques. These hybrid approaches enable models to process and learn from data closer to the source while maintaining stringent privacy requirements by keeping raw data localized. Additionally, the incorporation of pruning strategies, adaptive model compression, or multimodal data fusion contributes to improved speed, scalability, and accuracy in real-time inference tasks. Such frameworks have demonstrated notable promise in settings characterized by high data volume, operational complexity, and the necessity for fast anomaly detection or decision-making. However, despite these advancements, several challenges remain, including synchronization delays across edge nodes, variability in hardware capabilities, and the need for more efficient aggregation algorithms. Future developments may involve leveraging next-generation pruning techniques, energy-aware edge scheduling, decentralized orchestration protocols, or the integration of digital twin technologies to further enhance performance. Overall, hybrid distributed learning frameworks represent an important evolution toward more intelligent, secure, and autonomous computational ecosystems capable of supporting the next wave of smart applications.

This study examines the role of digital technology-based business innovation strategies in enhancing the competitiveness of small and medium-sized enterprises (SMEs) in Indonesia. As the digital economy continues to grow rapidly, SMEs face both opportunities and challenges in adapting to technological change. The research aims to analyze how digital transformation, including the adoption of e-commerce, digital marketing, and financial technology, influences business performance and market competitiveness. Using a quantitative approach, data were collected from 250 SMEs across various sectors through structured questionnaires and analyzed using multiple regression analysis. The results indicate that digital innovation significantly improves operational efficiency, customer engagement, and market expansion, which in turn enhance the overall competitiveness of SMEs. Moreover, managerial capability and digital literacy are found to moderate the relationship between technology adoption and competitiveness. The findings suggest that to sustain competitive advantage, SMEs should integrate digital innovation into their strategic management processes and continuously invest in technology and human resource development. This study contributes to the understanding of how digitalization can drive business resilience and sustainable growth within the SME sector in Indonesia.

This research analyzes the business licensing process for plywood products at PT Anugerah Albasia Abadi Talun, Blitar Regency. It aims to identify the processes undertaken, the obstacles encountered, and to provide recommendations. Employing a descriptive qualitative approach and the Triple Bottom Line framework, data was collected through interviews, observation, and documentation studies. The research findings indicate that the company has successfully fulfilled all complex formal licensing requirements, including the Business Identification Number (NIB), Industrial Business License (IUI), Timber Legality Verification Sistem(SVLK) certificate, Environmental Management and Monitoring Efforts (UKL-UPL), and Forest Product Transportation and Trading License (IPHH), demonstrating a commitment to regulatory compliance. Nevertheless, the licensing process is still hampered by the disharmony between the digital Online Single Submission (OSS) system and manual practices, dynamic regulatory changes that are not yet widely disseminated, limited internal human resource capacity, and a lack of harmonization and coordination among government agencies. The Triple Bottom Line analysis reveals that licensing legality supports economic competitiveness and market access, while social aspects are well-established through local job creation and CSR programs. However, environmental management remains administrative and not yet fully performance-based. Therefore, the research recommendations focus on strengthening internal capacity, optimizing the OSS system, developing proactive environmental management, and enhancing continuous community involvement to achieve higher operational efficiency and sustainability

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.

Bus Rapid Transit (BRT) systems play a crucial role in providing efficient and sustainable urban mobility, yet service quality often faces challenges that lead to passenger dissatisfaction. This study focuses on BRT Trans Jateng Corridor 7, which has received a considerable number of complaints regarding service reliability, comfort, and punctuality. The main objective of this research is to improve passenger satisfaction by applying the Six Sigma methodology to identify, analyze, and reduce the root causes of service-related complaints. Using the DMAIC (Define, Measure, Analyze, Improve, Control) framework, data were collected through complaint reports, passenger surveys, and operational performance indicators. Statistical analysis and cause-effect diagrams were employed to pinpoint critical factors influencing complaints, including bus frequency, driver performance, ticketing efficiency, and infrastructure support. The findings indicate that the application of Six Sigma significantly reduced recurring complaints, particularly in the areas of schedule adherence and service responsiveness, leading to measurable improvements in overall passenger satisfaction. The synthesis of results demonstrates that structured quality management approaches such as Six Sigma can effectively enhance public transportation service quality by providing systematic solutions to operational problems. In conclusion, this research highlights the practical benefits of Six Sigma in improving service performance and reducing passenger complaints, offering valuable insights for policymakers and transportation operators seeking to strengthen the quality and sustainability of public transit systems.

Climate change driven by global warming has prompted companies to enhance transparency regarding the environmental impacts of their operational activities, particularly in the disclosure of carbon emissions. Such disclosure is essential to address stakeholder demands and to gain social legitimacy, in accordance with stakeholder theory, which serves as the foundation of this study. This research aims to empirically examine the effect of environmental performance, profitability, and institutional ownership on carbon emission disclosure among non-financial companies listed on the Indonesia Stock Exchange. The population of this study comprises non-financial companies listed on the Indonesia Stock Exchange from 2020 to 2023. The sample was selected using a purposive sampling technique, resulting in 332 observations from 115 companies. The data analysis method employed is multiple linear regression analysis. The results reveal that environmental performance has a positive effect on carbon emission disclosure, indicating that the better the company’s environmental performance, the higher the level of carbon emission disclosure. Profitability and institutional ownership, however, have no significant effect on carbon emission disclosure.

Background: Traditional naval maintenance strategies rely on centralized supply chains and pre-manufactured spare parts, leading to long repair downtimes and logistical inefficiencies, particularly for vessels operating in remote maritime regions. Additive manufacturing (3D printing) offers a disruptive alternative by enabling on-demand production of spare parts, reducing dependence on external suppliers, and enhancing fleet self-sufficiency. However, material durability, operational feasibility, and cost-effectiveness remain underexplored for naval applications. Original Value: This research advances the study of AM in naval engineering, assessing its practical viability beyond theoretical potential. Unlike previous studies focusing on commercial maritime applications, this study evaluates 3D printing’s impact on naval fleet readiness, supply chain resilience, and sustainability. Objectives: The study investigates how 3D printing can optimize naval maintenance efficiency, specifically analyzing its feasibility, material performance, cost implications, and logistical advantages. Methodology: A qualitative-empirical approach was used, combining material performance testing, expert interviews, and operational case studies to evaluate mechanical durability, economic feasibility, and AM integration challenges. Results: Findings indicate that AM reduces repair downtime by 40%, lowers part procurement costs by 30–50%, and enhances supply chain resilience. However, material limitations and infrastructure readiness remain key adoption challenges. Conclusions: Hybrid AM adoption—where 3D printing supplements rather than replaces traditional manufacturing—offers the most practical near-term approach for naval fleets. Strategic investment in material research, onboard AM training, and fabrication infrastructure will enhance fleet efficiency, reduce environmental impact, and future-proof maritime maintenance strategies.

This study aims to explain the procedure for processing the Notice of Readiness (NOR) document for coal-carrying vessels at PT. Armada Lintas Baruna Bandar Lampung and to identify the consequences that occur when the NOR is submitted late or contains inaccuracies. As vessels from international shipping companies frequently call at Indonesian ports to transport coal abroad, companies must continuously improve service efficiency and reliability to support national shipping and trade performance. PT. Armada Lintas Baruna plays a key role in managing export vessels, particularly coal carriers, from loading ports to their country destinations, and the NOR serves as a crucial document through which the Ship Master declares that the vessel is fully prepared to load or discharge cargo during the charter period. The NOR service process includes several stages: verification of vessel readiness by the agent, preparation and submission of the NOR document, verification by the port authority, issuance of NOR confirmation, and document closing. Delays or errors in NOR submission can disrupt the vessel’s operational schedule, potentially causing financial losses for shipowners through demurrage charges. This paper employs both field research and library research to provide an in-depth understanding of the NOR service mechanism.

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.  

Blood transfusion is a critical medical procedure that requires the blood to be at a temperature close to normal human body temperature, approximately 36– 38°C. Transfusing cold blood can lead to serious complications such as hypothermia, coagulation disorders, and even cardiac arrest. Therefore, a reliable and automated blood warming device is essential to ensure safe transfusions. This study aims to design and modify a Blood Warmer Thawing device based on the Arduino Uno microcontroller as an innovative and cost- effective solution, particularly for healthcare facilities with limited resources. The system integrates a DS18B20 temperature sensor to monitor the temperature of the heating medium in real time, with data displayed on a 20x4 I2C LCD. Users can set the desired temperature via a 4x4 keypad, and the system automatically adjusts the heater performance based on the detected temperature. To enhance safety and operational efficiency, the device is also equipped with a buzzer as a warning indicator when the temperature exceeds the safe threshold, and utilizes a DC motor and cooling fan to maintain proper heat circulation. Test results indicate that the device is capable of maintaining the liquid temperature within the ideal range for blood transfusions, with high stability and fast response to temperature changes. This innovation offers a practical, affordable, and easy-to-implement solution to support effective and safe blood transfusion procedures in various healthcare settings.

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.

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 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.

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.