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The digital transformation driven by the acceleration of Artificial Intelligence (AI) has fundamentally transformed leadership paradigms and the structure of the modern workplace. This study aims to provide an in-depth analysis of the various strategic opportunities and systemic risks arising from the integration of AI into contemporary organizational leadership practices, where technology is no longer merely a tool but a collaborative partner in managerial processes. Using a Systematic Literature Review (SLR) method on 30 reputable scientific journals with publications spanning up to 2026, this article analyzes the transition of the leader’s role from a conventional hierarchical model toward the concept of Augmented Leadership. Data analysis results indicate that AI implementation offers significant opportunities through data-driven decision-making systems with high precision, intelligent resource allocation optimization, and enhanced leadership intervention effectiveness, which has been documented to reach up to 35%. However, this transformation also brings a series of complex multidimensional risks, including algorithmic biases that could trigger inequality cascades, ethical dilemmas related to operational transparency (black box), and the potential erosion of the meaning of work for employees. The discussion in this article emphasizes that the success of this transformation depends not only on technical expertise, but also on redefining leadership competencies to prioritize emotional intelligence and ethical governance frameworks such as the CARE Framework (Control, Awareness, Responsibility, and Evaluation).

The management of medicines and Medical Consumables (MCs) plays a crucial role in improving the quality of pharmaceutical services in hospitals. Common problems include stock imbalances, such as shortages and overstocking, which negatively affect service efficiency, increase operational costs, and raise the risk of product expiration. These issues are often caused by inadequate planning that is not based on consumption data, as well as limited knowledge of pharmacy personnel in applying appropriate inventory control methods.This community service activity aimed to improve the knowledge and skills of pharmacy staff in managing inventory using fast moving and slow moving methods based on real hospital data. The implementation method consisted of education, training, and hands-on mentoring conducted in several stages. The activity began with the analysis of medicine and medical consumables usage data from January to December 2025 at Labuang Baji Regional General Hospital, followed by training on pharmaceutical logistics management, and continued with practical exercises on classification and inventory control. Evaluation was carried out through discussions, case studies, and observation of participants’ ability to apply the methods.The results showed that 50.7% of medicines and 52.4% of medical consumables were categorized as fast moving, while the remaining items were classified as slow moving. After the intervention, there was a significant improvement in participants’ understanding of inventory classification, stock turnover analysis, and data-based planning. Participants were also able to identify items at risk of stock-outs and overstocking, enabling more appropriate control measures.This activity had a positive impact on the efficiency of pharmaceutical inventory management, reduced the risk of stock-outs and overstocking, and supported the improvement of healthcare service quality. Therefore, the fast moving and slow moving methods can be considered effective and applicable approaches for data-driven pharmaceutical inventory management in hospital settings

This research is motivated by the increasing role of Artificial Intelligence (AI) in organizational transformation and the crucial function of leadership in ensuring its successful implementation. The primary objective of this study is to analyze the relationship between leadership, AI integration, and organizational performance, as well as to identify various challenges and supporting factors in the process. This study employs a systematic literature review (SLR) method by examining 30 relevant, reputable scientific articles from the Scopus and Google Scholar databases within the 2020–2026 timeframe through selection, evaluation, and thematic synthesis processes. The results indicate that AI integration significantly contributes to improving operational efficiency, data-driven decision-making quality, and organizational innovation. However, this success heavily depends on the role of adaptive, transformational, and digitally-oriented leadership capable of steering the technological vision. Conversely, major challenges were identified, such as employee resistance, limited digital competencies, and ethical issues surrounding data privacy. This study contributes to strengthening the conceptual understanding of leadership's role as a bridge between technology and organizational performance, while offering practical implications for management in designing effective, inclusive, and sustainable digital transformation strategies.

Using Non Performing Financing (NPF) as a moderating variable, this study looks at how profit sharing and profit margin financing affect the effectiveness and stability of Islamic banks in Indonesia. The primary topic discussed is how various Islamic financing arrangements affect the operational effectiveness and financial stability of banks, as well as whether credit risk enhances or diminishes these connections. This study aims to examine the direct impacts of financing modalities as well as the moderating influence of NPF on the performance of Islamic banks. Based on secondary data from eight Islamic banks in Indonesia between 2018-2024, this study employs a quantitative methodology using panel data regression and Moderated Regression Analysis (MRA). The findings indicate that while profit margin financing has no discernible impact on efficiency, profit sharing financing has a favorable and considerable impact. Profit margin financing has a negative and negligible impact on stability, whereas profit sharing financing has a positive but negligible impact. Additionally, by changing the direction of influence, NPF significantly moderates the association between profit sharing financing and both efficiency and stability. However, it does not significantly moderate the effect of profit margin financing on efficiency, but it does on stability. In summary, the effectiveness of Islamic financing is heavily reliant on risk management, especially credit risk control, where NPF is a key factor in evaluating whether financing can improve stability and efficiency in Islamic banks.

This study analyzes the effect of Integrated Reporting (IR) on the Cost of Equity (COE) by examining the moderating role of Good Corporate Governance (GCG) mechanisms in companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2024 period. Governance quality is operationalized through two key mechanisms: institutional ownership and the proportion of independent board of commissioners. Employing Process Hayes Model 2 with bootstrap iterations of 5,000, and a final sample of 323 company-year observations after outlier removal, the study finds that Integrated Reporting does not exert a significant direct influence on Cost of Equity. However, the proportion of independent board of commissioners significantly moderates the negative relationship between Integrated Reporting and Cost of Equity, while institutional ownership fails to produce a significant moderating effect. Notably, under conditions of high institutional ownership paired with a low proportion of independent commissioners, Integrated Reporting paradoxically increases the Cost of Equity, underscoring the critical role of internal governance mechanisms in establishing the credibility of disclosed information. These findings confirm that the effectiveness of Integrated Reporting in reducing Cost of Equity is contingent upon the quality of the governance environment- particularly board independence. The study contributes to both theory and practice by demonstrating that the economic benefits of Integrated Reporting are realized only when accompanied by robust independent oversight structures.

The oil and gas industry requires efficient initial processing to separate reservoir fluids into oil, gas, and water phases. The Separator Unit is the main facility that plays a vital role in the surface facility production stage. This study aims to evaluate the type of separator used, identify control components, and understand the working principles and operational procedures of separators in the Main Production Facility (MPF) area. The methodology used is direct observation and literature studies during the implementation of practical work in July 2024 at PT. Citic Seram Energy Limited, Seram Non Bula Block, Maluku. The observation results show that the type of separator used is a Horizontal Three Phase Separator with tag codes 03-V-001A and 03-V-001B operating alternately. The separation process is carried out based on differences in fluid density utilizing gravity, supported by internal components such as deflector plates, mist extractors, weirs, and straightening vanes. Separator operation is maintained at an operating pressure of around 55 psig to ensure optimal separation efficiency and work safety. The conclusion of this study indicates that effective separator operation requires stable pressure and temperature control as well as routine maintenance to prevent sediment buildup and maintain product quality.

The ICU is one of the largest clinical cost centers in hospitals due to its high demand for human resources, medical equipment, and operational costs. This situation emphasizes that intensive care unit efficiency is a multidimensional issue that cannot be assessed solely from a single aspect. This study aims to analyze the efficiency of the intensive care unit at Ciremai Hospital, Cirebon City, using the Data Envelopment Analysis (DEA) model to determine resource optimization. Analytical quantitative study with a cross-sectional design. The population in this study consisted of personnel in the ICU of Ciremai Hospital from 2023 to 2025, with total sampling applied. The input variables included the number of physicians, nurses, beds, monitors, and ventilators, while the output variables consisted of BOR, LOS, and recovered patients. The ICU input variables remained stable during the study period, while output variables fluctuated with a declining trend in BOR and LOS. The results of the Data Envelopment Analysis (DEA) indicated that all study periods achieved an efficiency score of 1.00 (efficient), with a slack value of 0.00 across all input variables.

This study is motivated by the importance of work effectiveness as a key indicator of organizational success in facing an increasingly complex and competitive work environment. Work discipline is viewed as one of the critical factors that can support the achievement of optimal work effectiveness. This study aims to analyze the relationship between work discipline and work effectiveness and to identify the factors influencing them within an organizational context. The method used is a Systematic Literature Review, which involves examining various relevant scientific articles through the stages of identification, selection, evaluation, and data synthesis. The results of the study indicate that work discipline plays a significant role in enhancing work effectiveness through adherence to rules, punctuality, responsibility, and consistency in task execution. Furthermore, work effectiveness can also foster the development of discipline through structured work systems and clear operational standards. The relationship between these two variables is reciprocal and influenced by factors such as leadership, organizational culture, motivation, human resource competencies, and the utilization of technology. The implications of this research underscore the importance of integrating work discipline and organizational systems to sustainably enhance work effectiveness.

This study aims to analyze the role of Aviation Security (AVSEC) and Air Traffic Control (ATC) in maintaining flight safety and security at Frans Seda Maumere Airport and relate it to Operational Management theory. The method used is a qualitative approach through interviews with sources directly involved in airport operations. The results of the study show that AVSEC acts as the first line of defense in the aviation security system through passenger, baggage, and cargo checks (SCP1 and SCP2), as well as surveillance of restricted areas (airside). Meanwhile, ATC is responsible for regulating aircraft traffic in the air and on the ground to ensure smooth and safe flights. The collaboration between AVSEC and ATC can be categorized as a form of integrated operational management, which is the integrated operational management between different units with a common goal, namely to ensure optimal aviation security and safety. Thus, the implementation of structured and integrated operational management is key in supporting the continuity of safe, orderly, and efficient flight operations.

Sustainability issues encompassing economic, social and environmental aspects are driving reform in the global financial sector, including in Indonesia. Although the OJK has published a Sustainable Finance Roadmap since 2015, Indonesia does not yet have comprehensive green finance regulations in the banking sector. This study aims to analyse the state of green finance regulation in the Indonesian banking sector and compare it with China’s Green Credit Guidelines, in order to identify relevant aspects for adoption in strengthening national green finance policy. This study employs a normative legal methodology using a legislative and comparative law approach, alongside a qualitative descriptive-analytical analysis of secondary data. The author found that green finance regulations in Indonesia remain fragmented and scattered across various sectoral legal instruments without adequate integration, thereby creating loopholes for greenwashing practices and the adoption of green principles that are merely administrative in nature. The Sustainable Finance Committee mandated by the P2SK Act has not yet been established, exacerbating the lack of coordination between institutions. In contrast, China, through its 2012 Green Credit Guidelines and 2016 Guidelines for Establishing a Green Financial System, demonstrates a regulatory model that is hierarchical, standardised, and legally binding. A comparison of the two identifies four relevant aspects for Indonesia to adopt: an integrated regulatory approach, standardisation of environmental risk operations, strengthening of oversight mechanisms and due diligence, and cross-sectoral institutional coordination. Consequently, Indonesia requires comprehensive, dedicated green finance regulations and must promptly establish the Sustainable Finance Committee as the sole coordinating authority.

The rapid proliferation of learning analytics, business intelligence (BI), artificial intelligence (AI), and generative AI (GenAI) has significantly expanded universities’ ability to collect, integrate, analyze, and operationalize institutional data. However, despite advances in predictive analytics, dashboards, and AI-driven systems, the translation of analytical outputs into consistent and accountable institutional decision-making remains uneven. This systematic literature review synthesizes contemporary research on analytics-enabled decision-making in higher education with the aim of moving beyond dashboard-centric perspectives toward a socio-technical and computing-oriented understanding of how data are transformed into institutional actions and outcomes. Guided by the PRISMA framework, the review synthesizes evidence across four interconnected dimensions: data ecosystems and learning analytics foundations; analytics capability, BI adoption, and digital readiness; AI and advanced analytics for decision support; and human-in-the-loop (HITL) decision routines and institutional outcomes. The findings show that predictive performance and analytical sophistication alone do not guarantee decision value. Instead, effective analytics-enabled decision-making depends on interoperable data ecosystems, organizational analytics capability, governance mechanisms, explainability, and sustained human oversight. Based on these findings, this review contributes a computing-oriented decision-intelligence framework that conceptualizes analytics-enabled decision-making as an end-to-end socio-technical pipeline linking heterogeneous data acquisition, integration, feature construction, analytical modeling, explainability, human validation, governance, and feedback-based refinement. By integrating learning analytics, BI, AI, GenAI, and HITL mechanisms within a unified framework, the review clarifies how universities can move beyond dashboard-based reporting toward accountable, adaptive, and institutionally actionable decision-support infrastructures.

Mergers and acquisitions have served as a primary strategy for global banking consolidation over the past three decades, including in Indonesia, which is currently undergoing one of its most massive consolidation waves—one notable example being the emergence of Bank Syariah Indonesia. This article aims to provide a narrative review of the literature on the operational impacts of mergers on bank performance, with a particular focus on implications for the Indonesian context. Based on a systematic search of the Scopus database, 52 peer-reviewed articles published between 2000 and 2025 were analyzed using a narrative thematic synthesis approach. Five main themes were identified: cost efficiency, service quality, risk management, human resource and cultural integration, and information systems and technology integration. The key findings indicate that although 73.1% of studies report post-merger improvements in cost efficiency, these benefits are highly contingent upon the quality of post-merger integration especially in the areas of human resources, organizational culture, and information technology with IT integration failure rates reaching as high as 75%. Domestic mergers consistently achieve efficiency gains more rapidly than cross-border mergers, whereas risk implications depend heavily on the type of merger and the quality of integration. Policy implications include the need for the Financial Services Authority (Otoritas Jasa Keuangan) to monitor post-merger integration quality, provide integration guidelines for smaller banks, take into account the specific characteristics of Islamic banks, and ensure a streamlined, non-burdensome licensing process. Further research particularly empirical studies on banking mergers in Indonesia—is urgently needed to test the generalizability of global findings to the local context.

The development of Artificial Intelligence (AI) has transformed how business organizations manage operations, process information, and make strategic decisions, thereby creating a need for leadership patterns that are more adaptive, visionary, and responsive to digital transformation. This study aims to explain the concept of AI Leadership in the business context, identify why modern leadership must adapt to the advancement of AI, and analyze the leadership strategies that are relevant for navigating the era of AI-driven business. The study employs a Systematic Literature Review (SLR) approach with a narrative-thematic synthesis of relevant open-access scholarly literature on AI Leadership, digital leadership, human–AI collaboration, business transformation, and AI ethics. The findings show that AI Leadership represents a modern form of leadership that emphasizes not only technological understanding but also the ability of leaders to direct organizational change, foster data-driven decision making, manage collaboration between humans and technology, and implement responsible AI governance. The study also finds that the main strategies required by leaders in the AI era include strengthening digital literacy, developing adaptive managerial capabilities, enhancing human–AI collaboration, and integrating ethical principles into technology implementation. This article contributes conceptually by reinforcing AI Leadership as a leadership framework that is highly relevant to modern organizations and offers practical implications for the development of business leadership in the era of digital transformation.

Blasting is a critical method for overburden removal in open-pit coal mines, where fragmentation quality directly impacts loading efficiency and operational costs. This study aims to analyze the actual fragmentation resulting from overburden blasting at Pit 4 Middle of PT. Victor Dua Tiga Mega, Central Kalimantan, to predict fragmentation using the Kuz-Ram model, and to evaluate the conformity of both results against the company standard (boulder size ≤144.6 cm or ≥50 cm for analysis). The research employed a quantitative comparative method. Primary data included blasting geometry and photographs of muck piles from 10 blasting events, which were analyzed using WipFrag software to obtain actual fragmentation distribution. Secondary data comprised rock characteristics and explosive properties for Kuz-Ram prediction input. The results showed significant variation in actual boulder percentage (≥50 cm), ranging from 6.19% to 32.91% with an average of 16.05% (medium category). Statistical analysis revealed a very weak negative correlation (r = -0.21) between powder factor (PF) and boulder percentage, indicating that PF is not the dominant factor within the consistent application range (0.21-0.23 kg/bcm). Comparison with Kuz-Ram predictions showed that the model consistently over-predicted coarse material, with an average difference of +25.21%, suggesting the need for rock factor (A) recalibration. It is concluded that the blasting results are inconsistent, strongly influenced by uncontrollable factors such as geological conditions. Recommendations include geometri evaluation, particularly burden and spacing, and calibration of the Kuz-Ram model for more accurate future predictions.

The development of artificial intelligence (AI) has transformed organizational landscapes and driven fundamental changes in leadership practices and strategic management. This article aims to critically examine AI-based leadership by highlighting its opportunities, risks, and implications for strategic management. The study employs a qualitative literature-based approach using an integrative literature review strategy. The data consist of secondary scholarly literature relevant to AI, leadership, governance, innovation, and strategic management, which were analyzed through qualitative thematic analysis and conceptual content analysis. The findings show that AI-based leadership creates opportunities in the form of improved decision quality, faster strategic analysis, operational efficiency, stronger innovation, and enhanced organizational agility. However, AI integration also presents risks, including algorithmic bias, limited decision transparency, technological dependency, accountability challenges, and ethical concerns. This study confirms that AI does not fully replace human leaders; rather, it fosters a hybrid leadership model that requires technical, adaptive, transformational, and ethical capabilities. The study implies that the effectiveness of AI-based leadership depends on responsible governance, organizational cultural readiness, and balanced human–machine collaboration in supporting strategic management.

This study aims to analyze the influence of work environment and work motivation on the performance of outsourced employees at PT Kinarya Selaras Piranti. Phenomena in the field show the challenges of supervisory dualism and operational constraints, such as a difficult reimbursement system, which is suspected to affect productivity. The research method used was a quantitative approach with a saturated sampling technique (census) of 87 respondents. Data were collected through a digital questionnaire and analyzed using multiple linear regression through SPSS software. The results of the study showed that partially, the work environment had a positive and significant effect on employee performance (Sig. < 0.001). Similarly, work motivation has a positive and partially significant influence (Sig. < 0.001). Simultaneously, these two variables have a significant effect on performance with a determination coefficient value (R2) of 92.7%. This indicates that optimizing physical and non-physical conditions and meeting the psychological needs of employees are crucial factors in increasing work effectiveness in the outsourcing services sector.

Health-related SMEs in Indonesia have significant opportunities to enter international markets, but many businesses still face limitations in digital capabilities, innovation, and readiness for external markets. This study aims to examine the influence of digital transformation on the success of health-related SMEs in going international, both directly and through business innovation as a mediator. The study employs a quantitative approach using a cross-sectional survey design involving 200 owners or key managers of SMEs in East Java, selected via purposive sampling. Data were analysed using Structural Equation Modelling-Partial Least Squares (SEM-PLS). The results indicate that digital transformation has a positive influence on business innovation and the success of going international. Business innovation also has a positive effect on internationalisation success and mediates the relationship between digital transformation and external market success. These findings confirm that digitalisation should not merely be understood as an operational tool, but as a strategic capability that must be integrated with product, process, marketing, and business model innovation. The research implications emphasise the importance of strengthening digital capabilities and business innovation to enhance the global competitiveness of Indonesian health-related SMEs

This study aims to analyze the relationship between salaries, allowances, and employee productivity on company profitability. Human resources are an important factor in determining organizational success because employee quality and performance directly influence the achievement of company goals. Providing appropriate compensation, including salaries and allowances, can increase employee motivation, job satisfaction, and loyalty, thereby encouraging higher work productivity. High productivity reflects the company’s ability to utilize resources effectively and efficiently in order to produce optimal output. In addition, employee turnover is an important aspect that must be considered because it may affect operational stability and the company’s effectiveness in achieving business targets. Profitability is used as the main indicator to assess the company’s ability to generate profits from its operational activities. This study applies a quantitative method with an approach that examines the relationships among variables to obtain an overview of the influence of compensation and productivity on company profitability. The results of this study are expected to provide insights and recommendations for companies in managing human resources more effectively in order to improve financial performance sustainably.

Analysis of the business situation experienced by PT Spectrum Lintas Service indicates that the achievement of success in obtaining large-scale project contracts is greatly influenced by the technical image and confidence given by clients. This study aims to investigate the impact of Improving Technical Qualifications, Customer Relationship Management, and Procedural Governance Quality on the Achievement of Competitive Advantage at PT Spectrum Lintas Service. The study population consisted of a total of 141 customers. The data analysis approach used was the SPSS tool to test the research hypothesis through t-test and F-test. The results of the F-test showed a significance probability value of 0.000 smaller than 0.05. Based on the findings, it can be concluded that improving technical qualifications, customer relationship management, and procedural governance quality significantly contribute to the competitive advantage of PT. Spectrum Lintas Service. Improving technical qualifications has a negative but not substantial impact on competitive advantage, with a significance value of 0.110 greater than 0.05. Customer relationship management has an impact on competitive advantage with a significance value of 0.00, which is smaller than 0.05. The quality of the procedural system has a significant influence on competitive advantage.

Libraries play a crucial role in broadening the public's knowledge horizons by improving literacy skills. However, the reality at the Samaturu Library in Jambu Malea Village shows that manual management still dominates, leading to various administrative obstacles such as data irregularities, the risk of losing important information, and inefficiencies in tracking daily activities. This condition demands digital transformation to optimize public services at the village level comprehensively and sustainably. This research focuses on the development of a web-based library information system specifically designed to modernize administrative processes to be more systematic, fast, and organized. Built using the PHP programming language and MySQL database, this platform offers an intuitive interface for both staff and members. Its superior features include book data management, membership, activity agendas, announcements, and digitizing the borrowing and return process. Furthermore, the system is capable of automatically generating periodic reports to facilitate library performance evaluation. Based on the results of comprehensive testing using the Black Box Testing method, all system functionality was proven to operate optimally according to the required specifications. Direct user trials also showed very positive responses regarding aspects of ease of navigation and operational time efficiency. The implementation of this system is expected to improve the effectiveness of internal management, accelerate the quality of services to library users, and become a major catalyst in realizing superior digital literacy governance in rural areas.