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The dynamics of the global coffee industry during the 2024–2026 period were characterized by significant fluctuations that placed Starbucks in a vulnerable position due to multidimensional reputation crises, ranging from geopolitical sentiments to industrial relations tensions. This study aims to analyze the effectiveness of Public Relations (PR) management strategies and integrated media models in restoring brand equity post-crisis. The research method applied is descriptive qualitative with a conceptual analysis approach, relying on digital literature studies and the collection of secondary data from international reputation research firm reports and credible mass media documentation. The research results indicate that the drastic decline in the Brand Strength Index was successfully mitigated through a strategic narrative transition from service efficiency toward the reinforcement of the original "The Third Place" identity. The utilization of data-driven Owned Media channels through loyalty applications proved to be the most crucial instrument in maintaining consumer retention amidst the global boycott. The research conclusion emphasizes that brand resilience in the era of digital volatility depends not only on rhetoric but on the synchronization between adaptive leadership, operational transparency, and the integration of an agile PESO communication model. This study provides a theoretical contribution regarding the importance of managing "reputation capital" through consistent sustainability commitments to maintain a balance between profitability and corporate communication ethics in an increasingly polarized global market

This study aims to evaluate the determinants of organizational sustainability within the Doctor Peduli Foundation (doctorSHARE), specifically regarding its Floating Hospital program. Specifically, it examines the influence of stakeholder support and operational efficiency on organizational sustainability, while analyzing the role of organizational innovation as a mediating variable in ensuring the continuity of medical services in remote areas. Employing a quantitative approach with a survey method, data were collected from 81 respondents comprising staff and volunteers directly involved in the Floating Hospital's operations. Structural Equation Modeling (SEM) was utilized to analyze the data and test the proposed hypotheses.The results reveal that stakeholder support does not have a significant direct impact on either organizational sustainability or innovation performance. Conversely, operational efficiency emerged as a dominant factor with a significant positive influence. Furthermore, organizational innovation was found to play a crucial role as a mediator, strengthening the impact of operational efficiency on organizational sustainability.This study concludes that the sustainability of non-profit organizations such as doctorSHARE is determined more by management's ability to optimize internal resources efficiently and innovatively than by reliance on external support. Consequently, strengthening internal operational systems should be a primary strategic priority to ensure long-term organizational existence.

The rapid development of Artificial Intelligence (AI) has brought significant changes to the criminal justice system, particularly in criminal investigations and evidentiary processes, while simultaneously raising complex legal and ethical challenges. Objective: This study aims to analyze the legal implications of the use of AI in criminal investigations, focusing on its benefits, risks, and challenges related to the admissibility of AI-based evidence, as well as the need for regulatory frameworks that ensure fairness, transparency, and accountability. Methods: This research employs a normative qualitative approach through the analysis of legal regulations, a review of legal and technological literature, and a comparative approach across jurisdictions, complemented by case studies of AI applications in law enforcement practices. Results: The findings indicate that AI enhances investigative efficiency through data analysis, crime prediction, and digital forensics; however, it also poses risks such as algorithmic bias, human rights violations, and issues concerning the reliability and transparency of evidence. Furthermore, differences across legal systems result in the absence of uniform standards for the admissibility of AI-based evidence. Therefore, adaptive regulatory frameworks grounded in the principles of fairness, transparency, and accountability are required, along with strengthened human oversight to ensure that the use of AI aligns with the principles of justice and human rights protection.

This study aims to analyze the comparison of equity-based financing decisions and sukuk from the perspective of Sharia principles in companies in Indonesia. The development of the Islamic capital market in Indonesia shows a significant increase in the use of financing instruments that comply with Islamic principles, thereby encouraging companies to consider funding alternatives that are not only financially efficient but also Sharia-compliant. In the framework of Sharia financial management, capital structure decisions must consider the prohibition of usury, the principle of risk sharing, fairness in risk distribution, and contract certainty. This research uses a qualitative approach with a literature study method thru the analysis of various scientific journals, regulations, and academic sources related to capital structure theory, the concept of Sharia equity, and the characteristics of corporate sukuk in Indonesia. The study results indicate that equity-based financing provides flexibility in capital structure and reflects a risk-sharing mechanism, but it has the potential to cause ownership dilution. Meanwhile, sukuk offers asset-based financing with a clear contractual structure and does not dilute company ownership, although it requires an underlying asset and a more complex issuance process. Comparatively, both instruments have Sharia legitimacy as long as they meet the screening requirements and contract structures applicable in Indonesia. This research emphasizes that corporate financing decisions in Indonesia need to consider the balance between financial efficiency and compliance with Sharia principles.

Digitalization in the healthcare sector is a strategic step to enhance efficiency, accuracy, and service quality. One of the key innovations gaining significant attention is the use of Electronic Medical Records (EMR). Purpose: This study aims to analyze nurse competence, social influence, and usability on actual use electronic medical record with perceived ease of use as intervening variable at Satya Negara Hospital. Methods: The research method used a quantitative approach with a cross-sectional design, involving 108 nurses as respondents selected through a saturated sampling technique. Data were collected using a questionnaire and analyzed using a Structural Equation Model (SEM) based on Partial Least Squares (PLS). Findings: The results indicate that nurse competence, social influence, and usability significantly affect the actual use of EMR. Additionally, perceived ease of use mediates these relationships, enhancing the adoption and utilization of EMR systems. Implications: The managerial implications of this study include the need to enhance nurse competency training, strengthen social support in the workplace, and improve the usability of the Electronic Medical Records (EMR) system to encourage more optimal use. This study also contributes to the development of literature on health information technology implementation by integrating human, social, and technical factors into the analytical model.

Prolonged outpatient waiting time remains a major challenge in public hospitals and reflects inefficiencies in service process management. Internal medicine clinics are characterised by high service complexity and patient volume, making them particularly vulnerable to process waste that contributes to extended waiting times. Objective: This study aimed to develop an outpatient service flow model based on the Lean Hospital approach to reduce waiting time in the internal medicine clinic of RSUD Balaraja. Methods: A qualitative case study design was employed. Data were collected through direct observation of outpatient service processes, document review, and Focus Group Discussions (FGD) with relevant stakeholders. Process analysis was conducted using Value Stream Mapping (VSM) to identify value-added and non–value-added activities, while Fishbone Diagram analysis was applied to explore the root causes of process inefficiencies. All findings were integrated to develop a future-state outpatient service flow model. Results: The findings indicate that prolonged outpatient waiting time is primarily influenced by inefficient service flow design, repetitive administrative processes, and weak coordination among service units. The proposed service flow model demonstrates a more streamlined, integrated, and patient-centred process, with potential reductions in waiting time through systematic waste elimination and process improvement. Conclusion: The Lean Hospital approach provides an effective framework for developing outpatient service flow models in public hospitals. The proposed model offers a practical basis for improving outpatient service efficiency in complex clinical settings such as internal medicine clinics.

This study aims to analyze the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the period 2015–2024 using the Springate and Grover models. The research employs a quantitative descriptive approach with secondary data obtained from the company’s annual financial statements. Financial distress analysis is conducted by calculating financial ratios included in each model to describe the company’s financial condition over the observation period. The results indicate that PT Garuda Indonesia (Persero) Tbk experienced financial distress during several periods, particularly before and during the COVID-19 pandemic, which was reflected in weakened liquidity, declining profitability, and reduced efficiency in asset utilization. However, following the financial restructuring process after 2021, both the Springate and Grover models show an improvement in the company’s financial condition, indicating a transition toward a more stable non-distress status. Although the Springate and Grover models use different financial indicators and classification approaches, both are able to descriptively capture the dynamics of financial distress experienced by the company. The differences in classification results reflect the distinct focus of each model, where the Springate model is more sensitive to liquidity and operational performance, while the Grover model emphasizes asset profitability. Therefore, the combined use of both models provides a more comprehensive overview of the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the research period.

Taxpayer compliance is a crucial factor in optimizing state revenue to support national development financing independently. This study aims to analyze the dynamics of taxpayer compliance in Indonesia by examining two main aspects: individual awareness and the effectiveness of the tax system. The method used is a descriptive qualitative approach with a literature review of various national journals from the last five years. The findings indicate that taxpayer compliance is influenced not only by internal factors such as knowledge, awareness, and tax morale but also by external factors such as tax service quality, system digitalization, and regulatory complexity. Tax reforms and the implementation of digital systems such as e-filing and e-billing have been proven to significantly increase taxpayer compliance through ease of access and reporting efficiency. However, real challenges remain, such as low community tax literacy and perceptions of unfairness regarding the management of tax funds by the government. Therefore, a strong synergy is needed between increasing public awareness through continuous education and improving the taxation system to create sustainable and optimal compliance. Improving transparency and accountability in the management of tax funds is a strategic step to strengthen public trust in tax authorities in Indonesia.

Digital transformation in the public sector encourages civil servants to utilize technology not only for administrative purposes but also to improve efficiency, accuracy, and work performance. This study examines the influence of Intelligent Learning-Based Training and Digital Training Components on the Digital Productivity of civil servants at the Bureau of Economic Affairs of the Regional Secretariat of Lampung Province, with Adaptive Competence serving as a mediating variable. A quantitative approach with a non-experimental survey design was applied, and data were collected through structured questionnaires distributed to employees engaged in digital-based work activities. The data were analyzed using structural model testing procedures. The findings reveal that Intelligent Learning-Based Training does not significantly influence Adaptive Competence or Digital Productivity. Conversely, Digital Training Components positively and significantly affect both Adaptive Competence and Digital Productivity. Adaptive Competence also has a positive impact on Digital Productivity and mediates the relationship between Digital Training Components and Digital Productivity. However, Adaptive Competence does not mediate the relationship between Intelligent Learning-Based Training and Digital Productivity. These results indicate that civil servants’ digital productivity is more effectively improved through practical, relevant, accessible, and well-evaluated digital training programs than through intelligent learning systems alone. Therefore, public institutions are encouraged to develop digital training initiatives that align with employees’ daily work demands while strengthening their adaptive competence in responding to technological changes.

This study examines the absence of clear time limits in civil procedural law and its impact on the effectiveness of the principle of simple, fast, and low-cost justice in Indonesia. Normatively, this principle serves as a fundamental guideline in ensuring efficient and accessible dispute resolution. However, in practice, civil proceedings often take a prolonged and complex course, leading to increased costs and legal uncertainty. This research aims to analyze whether the principle has real normative force and how the lack of time constraints in each stage of civil litigation contributes to procedural delays. The study employs a normative legal research method using statutory and conceptual approaches, supported by secondary legal materials. The findings indicate that the absence of strict and binding time limits allows procedural flexibility to be misused, resulting in repeated delays, inefficiency, and case accumulation. Consequently, the principle of simple, fast, and low-cost justice tends to remain declarative rather than operational. The study concludes that the effectiveness of this principle is significantly weakened by the lack of time regulation and suggests the need for reform through time-bound case management, stricter procedural control, and the integration of digital judicial systems to enhance efficiency and legal certainty.

Hydrogen-based hybrid microgrid systems have emerged as a promising solution to enhance renewable energy integration and improve energy supply reliability. By combining renewable sources such as solar and wind with hydrogen production and storage technologies, these systems address the intermittency of renewable power while ensuring continuous energy availability. This study evaluates the techno-economic feasibility, environmental impact, and scalability of hydrogen-based hybrid microgrids, with a focus on cost-effectiveness and system performance under varying operating conditions. Simulation tools, including HOMER Pro and MATLAB Simulink, are used to model the system and conduct sensitivity analyses on hydrogen production costs and demand fluctuations. Key performance indicators such as Levelized Cost of Energy (LCOE), Net Present Value (NPV), and CO₂ emissions reduction are assessed. The results show that although the system requires a high initial investment, it becomes economically viable over time due to reduced operational costs and improved efficiency. Additionally, the system demonstrates significant environmental benefits, outperforming conventional fossil fuel-based systems in terms of emissions reduction. Sensitivity analysis further indicates that advancements in hydrogen production technologies could substantially enhance economic feasibility. Overall, hydrogen-based hybrid microgrids offer a reliable and low-carbon energy solution, supporting sustainable energy transitions and reducing dependence on fossil fuels.

Introduction: Additive Manufacturing (AM) has revolutionized the production of complex geometries, offering flexibility, customization, and precision across various industries. However, optimizing multiple process parameters simultaneously to enhance AM performance remains a significant challenge. This study focuses on improving both mechanical properties and surface quality by utilizing multi-objective optimization techniques. Literature Review: The research reviews existing approaches in AM optimization, highlighting the limitations of single-objective optimization and the potential of multi-objective evolutionary algorithms (MOEAs). Previous studies demonstrate the difficulty of balancing competing objectives, such as tensile strength and surface roughness, within AM processes. Materials and Method: This study employs NSGA-II, MOEA/D, and SPEA2 algorithms to optimize AM parameters like layer thickness, build orientation, and infill density. The optimization aims to improve mechanical performance, including tensile strength and impact resistance, while reducing build time and surface roughness. The methodology integrates experimental validation with computational predictions to evaluate the effectiveness of these algorithms. Results and Discussion: The optimization process yielded Pareto-optimal solutions that balanced mechanical strength and surface quality. The results demonstrated improvements in tensile strength and surface finish without significantly increasing build time. Trade-off analysis highlighted the inherent conflicts between mechanical performance and surface quality, allowing for better decision-making in industrial applications. The study contributes to the AM industry by offering a comprehensive optimization framework for improving both efficiency and product quality.

The development of digital technology has encouraged micro, small, and medium enterprises (MSMEs), particularly in the culinary sector, to adapt by utilizing online applications as a strategy to increase competitiveness. This community service activity aims to improve the understanding and capabilities of business owners at Kedai Jajanan Zahira in Surabaya in utilizing online applications as a marketing and sales tool. The method used in this study is Participatory Action Research (PAR), an approach that actively involves business actors in every stage of the process. These stages include problem identification, planning, implementation, and evaluation. Data collection techniques were carried out through interviews and direct observation to obtain a realistic picture of business conditions. The results of the activity showed an increase in business owners' understanding of the importance of digitalization, improved skills in using food delivery applications and social media, and increased market reach and interaction with consumers. In addition, the use of online applications also contributed to increased operational efficiency, such as more systematic order management and transaction recording. Overall, mentoring in the use of online applications has proven effective in increasing the competitiveness of culinary businesses. This activity has a positive impact not only on increasing sales, but also on business sustainability through increased digital literacy and the ability to adapt to technological developments. Therefore, ongoing mentoring is needed so that business actors can consistently optimize the use of digital technology in developing their businesses.

This study aims to analyze the implementation of Good Governance principles—transparency, accountability, participation, effectiveness, efficiency, rule of law, and inclusivity—in public administration services at the Sungai Tabukan Sub-district Office, especially in the Service, Economy, and Social Welfare Section. The method used is a qualitative approach with a case study design through observation, in-depth interviews, and documentation of sub-district officials and service user communities. The data was analyzed through reduction, presentation, and conclusion drawn, and tested for validity by triangulation and member check techniques. The results of the study show that procedural transparency, compliance with SOPs, and administrative accountability mechanisms have been running relatively well, so that services such as SKKM, marriage recommendations, and population documents can be processed openly and can be traced. However, the limitations of human resources, facilities, and digital infrastructure cause the effectiveness and efficiency of services to still be conditional and depend on key actors. Community participation has been facilitated through forums and feedback channels, but it is still dominated by village intermediaries so that the direct involvement of residents is not optimal. In terms of the rule of law and inclusivity, services have been based on regulations and are non-discriminatory, although there are still inequality in access and speed of services between regions. The main supporting factors include leadership commitment, internal work culture, and the existence of SOPs, while inhibiting factors include limited human resources, facilities, and information systems that have not been integrated. It was concluded that the implementation of Good Governance in public administration services in Sungai Tabukan District has been running functionally, but has not been fully consolidated systemically. Therefore, it is necessary to strengthen policies through the digitization of services, increase the capacity of the apparatus, improve facilities, integrate data-based accountability and transparency systems, and expand citizen participation channels to realize more professional, fair, and sustainable public administration service.

This study aims to examine the effect of the use of the Quick Response Code Indonesian Standard (QRIS) as part of digital payment instruments on the personal financial management of employees at PT. Alkana Diza Nusantara in the era of a cashless society. The rapid development of financial technology has encouraged a shift in transaction behavior from cash to cashless systems, making it important to understand its impact on individual financial management more comprehensively. This study employs a quantitative approach with a causal associative research design to analyze the relationship between variables. The population consists of 42 employees, with total sampling used as the sampling technique. Data were collected through a Likert-scale questionnaire that had been tested for validity and reliability. Data analysis techniques include classical assumption tests, simple linear regression analysis, t-test, and the coefficient of determination (R²) to measure the extent of the independent variable’s influence on the dependent variable. The results show that the use of QRIS has a positive and significant effect on personal financial management. This is evidenced by a regression coefficient of 0.923 and a significance value of 0.000 (<0.05). Furthermore, the coefficient of determination (R²) of 0.735 indicates that QRIS usage explains 73.5% of the variation in personal financial management, while the remaining 26.5% is influenced by other variables outside the scope of this study. These findings suggest that digital payment usage can enhance the effectiveness, efficiency, and discipline of individual financial management

Penelitian ini dilakukan di UD. XYZ yang bergerak di bidang produksi sandal jepit dengan permasalahan utama berupa ketidakseimbangan lintasan produksi yang menyebabkan terjadinya bottleneck, tingginya waktu menganggur, serta belum tercapainya target produksi perusahaan. Penelitian ini bertujuan untuk menganalisis dan memperbaiki keseimbangan lintasan produksi menggunakan metode Ranked Positional Weight (RPW) agar efisiensi produksi dapat meningkat. Metode penelitian dilakukan melalui pengamatan langsung terhadap proses produksi, pengukuran waktu kerja, pengujian keseragaman dan kecukupan data, perhitungan waktu siklus, waktu normal, dan waktu baku, kemudian dilanjutkan dengan analisis keseimbangan lintasan menggunakan metode RPW. Hasil penelitian menunjukkan bahwa penerapan metode RPW mampu memperbaiki performansi lintasan produksi dengan mengurangi jumlah stasiun kerja dari 7 menjadi 4 stasiun kerja. Selain itu, nilai line efficiency meningkat dari 46,10% menjadi 80,68%, balance delay menurun dari 53,90% menjadi 19,32%, dan smoothness index menurun dari 15,86 menjadi 4,80. Hasil tersebut menunjukkan bahwa metode RPW mampu menghasilkan pembagian beban kerja yang lebih merata, mengurangi waktu menganggur, serta meningkatkan efisiensi dan kelancaran proses produksi perusahaan

This study examines the role of the Lubuk Intan Village Unit Cooperative (KUD) in assisting in managing oil palm sales for smallholder farmers in Peninjau Village, Batanghari Regency. The background of this study is based on the suboptimal distribution of economic benefits to farmers, despite increasing sales through the cooperative. This situation indicates the need to strengthen the role of cooperatives in the harvest marketing system. This study used a qualitative approach with descriptive methods. Thirteen informants were interviewed: three administrators and ten members of the Lubuk Intan KUD in Peninjau Village, Batanghari Regency. The results indicate that the Lubuk Intan KUD plays a role in facilitating collective sales, providing price information, and creating certainty and transparency in the weighing and recording of harvests. This role has been able to improve marketing efficiency and member trust. However, its implementation still faces obstacles such as limited human resources, limited operational capital, and inadequate member participation.

Technological advancements and the rapid growth of globalization have fundamentally changed the way organizations conduct business activities, creating increasingly complex challenges and opportunities in both local and international markets. Organizations are now required to adapt quickly to changing consumer preferences, technological innovation, market competition, and economic uncertainty. In this environment, economics, management, and accounting have become three essential disciplines that play a crucial role in determining organizational effectiveness and long-term sustainability. Economics helps organizations understand market behavior, pricing strategies, supply and demand conditions, and macroeconomic factors that influence business performance. Management focuses on planning, organizing, leading, and controlling resources to ensure operational efficiency and goal achievement. Accounting provides reliable financial information through systematic recording, reporting, and analysis of transactions, enabling organizations to evaluate performance and maintain accountability. This study aims to analyze the relationship between these three disciplines in supporting organizational decision-making processes and improving overall performance. The research employs a literature review method by examining various recent academic books and journal articles. The findings reveal that the integration of economics, management, and accounting strengthens strategic planning, improves resource allocation, enhances financial transparency, and supports sustainable organizational growth in a highly competitive global environment.

This study aims to analyze innovative strategies that can be implemented by Micro, Small, and Medium Enterprises (MSMEs) in East Java to improve competitiveness through digital marketing and e-commerce. This study uses a descriptive qualitative approach with a library research method by reviewing various scientific literature, government reports, and previous studies related to MSME innovation and digital transformation. The results of the study indicate that digital marketing and e-commerce innovation can increase market reach, operational efficiency, product differentiation, and MSME sales. However, the implementation of innovation still faces several challenges such as low digital literacy, limited capital, limited technology, and lack of system integration. Therefore, innovative strategies are needed, including integrated digital marketing, marketplace optimization, social commerce, digital payment systems, logistics integration, digital branding strengthening, and digital literacy training. In addition, collaboration between MSMEs, government, universities, communities, and digital platforms is an important factor in accelerating MSME digital transformation. This study produces recommendations for an innovative strategy model based on digital marketing and e-commerce to improve the competitiveness and sustainability of MSMEs in East Java.

separating and shredding organic and inorganic waste. This study aims to analyze the process of shredding household waste using the Computational Fluid Dynamics–Discrete Element Method (CFD-DEM) and determine the optimal operational parameters based on variations in rotor speed. The research method uses numerical simulation with SolidWorks 2024 software for geometric modeling and Ansys Rocky 2023 R1 for CFD-DEM simulation. The rotor speed variations used are 1000 RPM, 2500 RPM, and 4000 RPM with a mass flow rate of 4 tons/hour and a simulation duration of 2 seconds. The parameters analyzed included particle mass flow rate, shredding characteristics, and power consumption. The simulation results showed that a speed of 1000 RPM produced the most optimal performance with a maximum capacity of ±4 tons/hour and a stable shredding response compared to other variations. At 2500 RPM, there were high fluctuations with low capacity (±0.6 tons/hour), while at 4000 RPM, the capacity was moderate (±1.1 tons/hour) but still did not exceed the performance of 1000 RPM. Based on these results, it can be concluded that a rotor speed parameter of 1000 RPM is the most effective condition for improving the grinding efficiency and production capacity of a hammer mill-type Depackaging machine based on CFD-DEM simulation.