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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.

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 advancement of digital technology has significantly transformed organizational decision-making, particularly in modern leadership contexts that demand rapid and data-driven responses. Artificial Intelligence(AI) has emerged as a strategic technology capable of enhancing accuracy, speed, and effectiveness in decision-making through comprehensive data analysis. This study aims to analyze the role of AI in supporting leadership decision-making and its implications for organizational effectiveness using a narrative literature review approach. Secondary data comprising peer-reviewed national and international journal articles were analyzed to identify patterns, themes, and interactions between AI, leadership, and decision-making processes. The findings indicate that AI functions not only as a data analysis tool but also as a strategic element that strengthens leaders’ capabilities in evidence-based decision-making, improves team coordination, and optimizes organizational processes. Thematic synthesis identified three main domains analytics and predictive capabilities, leadership strategies, and implementation challenges that form the basis for integrating AI into managerial practice. This study contributes theoretically by expanding the digital leadership and technology-based decision-making framework and practically by providing guidance for organizations to optimize AI utilization to enhance decision quality and efficiency. The research also offers directions for future empirical studies to explore AI-leadership interactions across various organizational sectors, supporting more adaptive, effective, and data-driven decision-making in the digital era.

Drug availability at community health centers is an important indicator of health service quality. Drug shortages or excesses may affect service effectiveness and budget efficiency. This study aimed to determine the level of drug availability at the South City Community Health Center and the Piloloda'a Community Health Center in 2024 based on compliance with the formulary, demand, receipt, and drug availability categories. This study used a descriptive analytical method with a cross-sectional approach. Data were obtained retrospectively from the 2024 Drug Use Report and Request Sheet (LPLPO). Data analysis was conducted by calculating the percentage of compliance with the formulary, demand, and receipt, and by determining drug availability levels using the Indonesian Ministry of Health (2010) formula and the classification of Carolien et al. (2017). The results showed that formulary compliance was 82% at the South City Community Health Center and 67% at the Piloloda'a Community Health Center, both below the 95% standard. Drug demand compliance scores were 151% and 199%, exceeding the 100–120% standard, while drug receipt compliance scores were 71% and 56%, below the 100% standard. Drug availability categories varied from adequate and insufficient to excess stock, with most drug items classified as insufficient stock. In conclusion, drug management at both community health centers has not been fully optimal. Improved coordination between community health centers and pharmaceutical facilities is needed to maintain stable drug availability and support service needs.

This study aims to critically analyze bioethanol production from water hyacinth (Eichhornia crassipes) based on previous research findings and to develop a project-based learning design for SMA/SMK students. This study employs a qualitative approach using a literature review method by analyzing relevant scientific articles published in the last five years. Data were collected through documentation and analyzed using descriptive qualitative techniques, including data reduction, data display, and conclusion drawing. The findings indicate that bioethanol production efficiency is strongly influenced by pretreatment methods, fermentation conditions, and process control, with yields generally categorized as low to moderate. Previous studies also reveal that project-based learning significantly enhances students’ conceptual understanding and critical thinking skills. Based on the synthesis of these findings, this study proposes a structured project-based learning design that integrates bioethanol production as a contextual learning medium. The implications of this study emphasize the importance of aligning technical feasibility, educational objectives, and sustainability principles in developing science-based learning projects in secondary education.

This study examines the determinants of the Jakarta Composite Index (JCI) based on three main macroeconomic factors namely inflation, the USD/IDR exchange rate, and the SBI interest rate (BI Rate) covering the period January 2020 to December 2025, in the context of post-COVID-19 pandemic recovery and global economic turmoil. A quantitative approach was employed using the Ordinary Least Squares (OLS) method, with 72 monthly observations derived from secondary data sourced from official institutions including Bank Indonesia (BI), the Central Statistics Agency (BPS), the Indonesia Stock Exchange (IDX), and the Financial Services Authority (OJK). Classical assumption tests were applied comprising the Jarque-Bera normality test, Variance Inflation Factor (VIF) for multicollinearity, Breusch-Godfrey for autocorrelation, White Test for heteroscedasticity, and Ramsey RESET for model specification. Partially, inflation, exchange rate, and BI Rate each demonstrate a positive and significant effect on the JCI (p < 0.05). Simultaneously, all three variables exert a significant combined influence on the JCI, with a coefficient of determination R² = 0.4414, indicating that the model explains 44.14% of the variation in the JCI. The remaining 55.86% is attributed to other variables outside the model. Classical assumption test results reveal violations of normality, autocorrelation, and heteroscedasticity assumptions, although the model is free from multicollinearity. These findings confirm that Bank Indonesia's monetary policy has a significant and measurable impact on capital market performance. Further research is recommended using more advanced time series models such as GARCH or VECM to address violations of classical assumptions and improve estimation efficiency.

The use of building materials plays a crucial role in determining the quality of the built environment, particularly in the context of row housing in densely populated urban areas. This study aims to evaluate the types of materials used in the construction of row housing in Cemara Asri, Medan, with a focus on sustainability and environmental friendliness criteria. The methods employed include direct site surveys and literature studies related to the characteristics of both interior and exterior materials applied to housing units. The research findings indicate that most of the materials used—such as red bricks, ceramic tiles, clay roof tiles, and concrete ventilation blocks—possess good energy efficiency and durability potential. However, they do not fully meet sustainability standards in terms of production processes and waste management. The study also found that residents' awareness of environmentally friendly material selection remains limited, and the procurement of materials tends to follow local availability and economic considerations. These findings are expected to serve as a foundation for improving environmentally friendly material planning in row housing developments in other urban areas.

This study aims to examine the implementation of the Village Financial System (SISKEUDES) information technology by applying the Committee of Sponsoring Organizations of the Treadway Commission (COSO) framework and the Technology Acceptance Model (TAM) in Daleman Village, Lawu Village, and Baran Village, Sukoharjo Regency. By adopting a qualitative descriptive approach and triangulation methods, the research establishes that internal control mechanisms under the COSO guidelines are being applied productively. Such compliance is demonstrated through the mandatory cross-verification process conducted by the Financial Officer and Village Secretary, supported by the analytical capabilities of the system’s built-in audit trail. From the TAM perspective, village officials show a high level of technology acceptance, since the system is perceived to provide considerable ease of use and significant benefits in improving the efficiency of financial reporting. Nevertheless, several technical challenges remain, particularly server congestion during peak reporting periods. In addition, there is still a limitation in external transparency, as the dissemination of financial information through digital platforms such as village websites has not been optimally socialized to the community. As a result, many residents continue to rely on conventional information channels such as information boards and village meetings. Therefore, although internal accountability has been well established, improvements in digital infrastructure and communication strategies are necessary to strengthen transparency in village financial management

This article discusses innovations in cash waqf management through the integration of digital technology with the SatuWakaf.id platform developed by the Indonesian Waqf Board (BWI). The urgency of this research is driven by the need for a transformation in waqf governance to optimize the potential of the Sharia economy in the era of disruption. This study employs a literature review method with a qualitative approach to examine the role of digitalization in enhancing efficiency, transparency, and public participation in waqf. The findings indicate that digital waqf provides ease of access, transaction flexibility, and transparency through a real-time reporting system that is accountably accessible to donors (wakif). Furthermore, the integration of technologies such as QRIS, e-wallets, and internet-based systems effectively addresses various constraints of conventional waqf management, including limited reach and complex administration. However, significant challenges remain, such as low public literacy, limited technological competence among waqf managers (nazir), and cyber security risks surrounding digital transactions. Consequently, the optimization of digital waqf requires strong synergy between human resource development, adaptive regulatory strengthening, and the development of inclusive technological infrastructure to ensure that national waqf potential is fully utilized for the welfare of the community.

This study discusses the analysis of the account opening procedure for E-mas Savings through the digital platform BYOND by Bank Syariah Indonesia. The selection of this topic is motivated by the development of digital services in Islamic banking and the increasing public interest in gold investment products based on sharia principles. The purpose of this study is to identify the procedure for opening an E-mas Savings account and to examine its compliance with sharia accounting principles and DSN-MUI Fatwas. This research was conducted at Bank Syariah Indonesia KCP Tegal Sutoyo using data collection techniques in the form of observation, interviews, and documentation. The study employed a qualitative descriptive approach to obtain an in-depth understanding of the implementation of digital-based E-mas Savings services. The focus of the research was directed toward the stages of the account opening procedure, transaction mechanisms, and the application of sharia principles in digital banking services. The results indicate that the procedure for opening an E-mas Savings account has been implemented in accordance with applicable regulations and sharia principles, although there are still obstacles related to the uneven level of customer understanding regarding digital service mechanisms. In addition, the implementation of digital services through BYOND by BSI is considered capable of providing convenience, efficiency, and flexibility for customers in conducting gold investments without having to visit bank branches directly. Therefore, increased education and socialization for customers are needed so that the utilization of E-mas Savings can run more optimally and enhance public trust in digital-based sharia investment products.

This study describes a comparative analysis of public financial systems in the ancient world, medieval Europe, and early Islam from a social justice perspective. The purpose of this study is to analyze the public financial systems of the ancient world, medieval Europe, and early Islam from a social justice perspective. The research method is qualitative. Data analysis was conducted using thematic analysis techniques through the stages of data reduction, data presentation, and conclusion drawing. The results of this study indicate that the ancient world had an administratively efficient financial system but was highly centered on the power of the ruler, resulting in high social inequality. In medieval Europe, the financial system was influenced by feudalism and religious values, but was fragmented and dependent on the elite, resulting in an unequal distribution of wealth. Meanwhile, early Islam presented a more structured financial system through the Baitul Mal (Financial Treasury) and instruments such as zakat, kharaj, and jizyah, oriented towards social justice and wealth redistribution. However, all three systems have their respective weaknesses, especially in aspects of implementation, accountability, and equity. This study concludes that social justice in the public financial system requires the integration of institutional efficiency, ethical values, and strong redistribution mechanisms.

In the current digital era, public services are increasingly being transformed through technology, including tax administration systems. One of the major innovations implemented by the Indonesian government is the Core Tax System, an integrated tax administration system designed to improve service efficiency, data integration, and taxpayer compliance monitoring. This study aims to analyze the effect of Core Tax System implementation on taxpayer compliance in Indonesia. The research adopts a quantitative approach using primary data collected through questionnaires distributed to taxpayers. The collected data were tested using validity and reliability tests and analyzed through descriptive statistics and significance testing to examine the relationship between the research variables. The results indicate that the implementation of the Core Tax System has a positive and significant effect on taxpayer compliance, both partially and simultaneously. These findings suggest that tax system digitalization can serve as an important instrument in improving taxpayer compliance in Indonesia.

This study examines the role of Artificial Intelligence (AI) in enhancing student collaborative learning, with a particular emphasis on AI-driven feedback mechanisms and patterns of student interaction in developing effective collaborative skills. Unlike prior studies, this research highlights the mediating effect of AI-driven feedback on teamwork efficiency and overall learning outcomes in collaborative environments. An explanatory quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) to ensure robust data analysis. Data were collected from 112 university students who were actively engaged in AI-assisted collaborative learning activities, using a structured online survey instrument. The data were subsequently analyzed using SmartPLS software. The results reveal that AI significantly enhances student interaction (β = 0.534, p < 0.000) and improves problem-solving feedback (β = 0.620, p < 0.000), both of which contribute to significantly strengthening collaborative skills (β = 0.716, p < 0.000). However, the findings also indicate that AI alone does not directly improve collaboration without the support of structured pedagogical design and guidance. Therefore, universities should strategically integrate AI-driven feedback into Learning Management Systems (LMS) and strengthen digital literacy initiatives to optimize the effectiveness and sustainability of AI in collaborative learning contexts.

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.

This study examines the impact of carbon emission disclosure, eco-efficiency, and green innovation on firm value among energy sector companies listed on the Indonesia Stock Exchange during 2022-2024. Using purposive sampling, 26 companies were selected based on specific criteria, resulting in 78 observations over the three-year period. The research employs panel data regression analysis with fixed effect model, using Tobin's Q as the proxy for firm value. Carbon emission disclosure is measured using the CDP framework with 18 disclosure items, eco-efficiency is assessed through ISO 14001 certification ownership, and green innovation is evaluated using four indicators based on the OECD framework. The results reveal that green innovation has a significant positive effect on firm value, indicating that Indonesian capital market investors place premium valuations on companies investing in environmental innovation. However, carbon emission and eco-efficiency show no significant impact on firm value. These findings suggest that while sustainability disclosure remains voluntary in Indonesia and lacks standardized frameworks, market participants are more responsive to tangible innovations that demonstrate competitive advantages and regulatory risk mitigation. Simultaneously, all three variables significantly influence firm value, confirming the relevance of comprehensive sustainability practices in value creation.

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.

This study aims to know the decision-making strategies in individuals with pragmatic personality. The approach used was qualitative with a case study method. The subjects of the study consisted of three individuals who were selected using purposive sampling techniques based on pragmatic personality characteristics, i.e. oriented to results, efficiency, and practical considerations in decision making. Data were collected through semi-structured interviews and observations, then analyzed using thematic analysis. The results of the study showed that all three respondents had relatively similar decision-making patterns, namely starting with understanding the problem, followed by identification and evaluation of multiple alternatives, as well as considering the advantages and disadvantages of each option. In determining the final decision, pragmatic individuals tend to choose solutions that are realistic, simple, effective, and have the lowest risk yet provide the optimal benefit. Additionally, in the face of important decisions, respondents showed a cautious attitude by calming themselves, not rushing, as well as partially considering the opinions of others as additional evaluation material. Overall, the findings of this study suggest that pragmatic personality plays a role in forming logical, adaptive, and real outcome-oriented decision-making strategies in daily life.

This quantitative study, involving 135 respondents, aims to analyze the influence of work efficiency and income on the welfare level of members of the Women Farmer Group (KWT) in X Koto Singkarak Sub-district. Data were collected through structured questionnaires and analyzed using multiple linear regression, t-tests, and F-tests to determine both partial and simultaneous effects of the independent variables on welfare. The results of the t-test reveal that work efficiency (X1) does not have a significant partial effect on the welfare of KWT members (Y), as indicated by a t-value of -1.817, which is lower than the t-table value of 1.977, and a significance level of 0.071, which exceeds 0.05. Conversely, income (X2) demonstrates a strong and significant partial effect on welfare, supported by a significance value of 0.000, which is lower than 0.05, and a t-value of 13.561, which is higher than the t-table value of 1.977. Furthermore, the simultaneous F-test confirms that work efficiency and income collectively have a significant effect on the welfare level of KWT members, with an F-value of 98.319 exceeding the F-table value of 19.490 and a significance level of 0.000. These findings indicate that increasing income plays an important role in improving welfare.

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.

Digital transformation in public administration has become one of the strategic agendas in modern bureaucratic reform to improve the effectiveness, efficiency, transparency, and quality of public services. This study aims to analyze the digital transformation of public administration through a comparative study between Indonesia and South Korea, particularly in the implementation of digital government. This study uses a qualitative method with a comparative study approach and is supported by library research through secondary data collection from scientific journals, international agency reports, government policy documents, and relevant previous research. The data analysis technique uses descriptive-comparative analysis with the theoretical approaches of Digital Era Governance (DEG), Institutional Theory, New Public Management (NPM), and Socio-Technical Systems Theory. The results of the study show that South Korea has succeeded in developing an integrated digital government because it is supported by consistent national policies, strong data interoperability, high bureaucratic capacity, adaptive organizational culture, and equitable distribution of digital infrastructure. In contrast, Indonesia is still in the transition stage from e-government to digital government and faces various obstacles such as fragmentation of inter-agency systems, low data interoperability, inequality in digital infrastructure, limited ASN competency, and bureaucratic resistance to change. Based on the Digital Era Governance theory, South Korea has successfully implemented the principles of reintegration, needs-based holism, and digitization of changes, while Indonesia remains suboptimal in terms of bureaucratic integration and services based on public needs. This study concludes that the success of digital transformation in public administration is determined more by institutional strength and bureaucratic reform than simply by technology adoption. Therefore, Indonesia needs to prioritize digital transformation as a comprehensive national reform agenda to create a modern, responsive, and service-oriented government.