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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 development of social media in the digital era has significantly changed children’s social interaction patterns. Besides providing benefits such as easier access to information and opportunities for creativity, social media also brings negative impacts on children’s psychological, social, and moral development. This study aims to analyze the restriction of social media use among children from the perspective of Jürgen Habermas, especially regarding the concepts of the public sphere, communicative rationality, and the colonization of the lifeworld. This research uses a literature study method with a qualitative descriptive approach through the collection and analysis of relevant scientific articles. Data validity was strengthened through inclusion and exclusion criteria as well as source triangulation. The findings indicate that social media use among children has an ambivalent impact. Positive effects can emerge when there is strong parental supervision, while weak supervision increases the risk of exposure to harmful content, psychological problems, and reduced quality of social interaction. Restricting social media use through time regulation, content control, and digital education is considered important for protecting children’s development. From Habermas’s perspective, children are vulnerable in the digital public sphere because of their limited communicative rationality. Therefore, restrictions are viewed as efforts to protect children’s values and rationality from distortion by the digital media system.

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 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.

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.

Digital transformation has brought significant changes to human life, including in the realms of law and the protection of human rights. The rapid development of information technology has introduced new challenges in the form of human rights violations in the digital space, such as privacy breaches, the spread of misinformation, hate speech, and the increasing prevalence of cybercrime. This phenomenon indicates that the digital sphere not only offers benefits but also poses serious risks to the protection of individual rights. This study aims to analyze the reconstruction of legal awareness in addressing these challenges through a human rights approach and the Islamic Sociological Jurisprudence Theory. The research employs a normative legal method with conceptual and sociological approaches, emphasizing the analysis of literature and applicable legal norms. The findings reveal that conventional legal approaches have not been fully capable of addressing the complexity of evolving digital issues. Therefore, an integration of human rights principles and a contextual Islamic legal approach through Islamic Sociological Jurisprudence is required. This approach highlights the importance of maqāṣid al-sharī‘ah, substantive justice, and legal awareness that is adaptive to social change. Thus, the reconstruction of legal awareness becomes a key element in establishing effective, just, and sustainable human rights protection in the digital era.

Group-based learning in the classroom plays a vital role in enhancing social interaction, individual responsibility, as well as students' critical thinking and collaborative skills. However, its implementation often faces challenges such as the dominance of certain members, social loafing, low participation, and interpersonal conflicts that hinder group effectiveness. This study aims to comprehensively examine the dynamics of learning groups by integrating four key aspects: the concept of group dynamics based on the Tuckman model, the characteristics of effective groups in cooperative learning, group formation techniques, and conflict management strategies. The research utilizes a qualitative approach with a literature study method, analyzing 25 sources including nationally accredited journals, academic books, and theses published between 2020 and 2024. Data analysis was conducted through reduction, thematic classification, content analysis, and conceptual synthesis. The results indicate that effective group dynamics can be achieved through the Tuckman stages, the application of the five elements of cooperative learning, the selection of appropriate group formation techniques with risk mitigation, and the implementation of the Thomas-Kilmann conflict management styles.The scientific contribution of this research is the development of an integrative model based on these four aspects, which serves as a conceptual framework to strengthen collaborative learning practices in the classroom. Practical implications include the formation of ideal groups consisting of 4–5 students, the establishment of initial group contracts, the use of dual assessment rubrics (individual and group), and peer evaluation mechanisms to enhance accountability and reflection.

This study aims to analyze promiscuous sexual behavior among adolescents as a manifestation of problematic behavior through a literature review approach. The method used was a literature review with a descriptive-analytical design, analyzing 20 national scientific articles published between 2007 and 2024. The analysis process was conducted systematically through the stages of identifying relevant sources, classifying themes, extracting important data, and synthesizing findings to build a comprehensive conceptual framework. The study results were then grouped into four main aspects: internal factors, external factors, impacts, and prevention strategies. The study results indicate that promiscuous sexual behavior among adolescents is influenced by internal factors such as knowledge, attitudes, and moral reasoning, as well as external factors such as family environment, peers, social media, and lack of parental supervision. The resulting impacts are multidimensional, encompassing health (sexually transmitted infections and unplanned pregnancies), psychological (anxiety, guilt), and social (stigma and educational disruption). Effective prevention efforts involve comprehensive sex education, active family involvement, and collaboration between schools and the community.

Correspondence administration is vital for supporting operational efficiency in schools. However, manual management often leads to issues such as data retrieval delays, recording errors, and the risk of lost archives. This research aims to design and develop a Web-Based Administration Data Monitoring Information System using QR Codes at UPTD SMAN 3 Majene. The study employs the Research and Development (R&D) method with the Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance.The system involves three primary users: Admin/Administrative Staff, Teachers, and the Principal. QR Codes are implemented as digital identities to facilitate easier archive tracking and retrieval. Results indicate that the system enhances effectiveness and efficiency in correspondence management, accelerates letter request services, and simplifies data monitoring for school management. This system is expected to provide a solution for achieving orderly administration at UPTD SMAN 3 Majene. Furthermore, QR Code integration ensures document validity and digital archive security, supporting a more modern, transparent, and sustainable school governance transformation.

Land conversion associated with renewable energy expansion generates profound socio-cultural transformations in agrarian communities. This study aims to analyze how wind power development reshapes agrarian identity, social capital configuration, and the meaning of land within rural society from an anthropology of development perspective. This research applies qualitative literature-based analysis supported by recent peer-reviewed scholarship on land use change, rural transformation, social capital, and political ecology. Conceptual synthesis integrates sustainable livelihood framework, identity negotiation theory, and energy landscape analysis to construct an interpretive analytical model. Findings indicate that agricultural land conversion produces deagrarianization, occupational shifts, and reconfiguration of social stratification. Land is redefined from a genealogical and productive space into infrastructure and investment asset. Social capital grounded in kinship networks, customary institutions, and local organizations functions as a resilience mechanism through risk redistribution, collective solidarity, and participatory negotiation. Energy landscapes restructure symbolic and material relations between community and territory, generating both hybrid identities and conflict dynamics. Inclusive governance determines whether renewable energy fosters adaptive transformation or deepens commodification and exclusion. Renewable energy transition in rural areas requires socio-cultural recognition beyond technical implementation. Integrating local identity, participatory governance, and community ownership strengthens just and sustainable transformation pathways.

Emergency medical care constitutes a fundamental patient right and an institutional obligation of hospitals that must be provided without temporal discrimination. However, in practice and public discourse, the meaning of “physician presence” is often narrowly reduced to physical presence alone, giving rise to allegations of medical negligence, particularly during weekends or outside regular working hours. This distorted understanding risks generating legal injustice, undermining the dignity of the medical profession, and encouraging defensive medical practice. This article aims to analyze the meaning of physician presence from a health law perspective through theoretical, normative, and systemic approaches, by distinguishing models of physician presence as on-site, on-call, and home-call/teleconsultation in emergency care services. This study employs a normative legal research method using statutory, conceptual, and limited comparative approaches. The analysis examines Law Number 17 of 2023 on Health, Government Regulation Number 28 of 2024, as well as health law literature and emergency care practices. The analysis demonstrates that, in legal terms, physician presence is not synonymous with physical presence, but rather should be understood as process-based professional responsibility, provided that care is delivered in accordance with professional standards, service standards, and an adequate triage system. Physician presence must be reconstructed as the presence of professional responsibility within an integrated emergency care system. Legal assessment in health law should be grounded in process and system integrity, rather than solely on clinical outcomes or public perception.

This research investigates how profitability, leverage, activity levels, and company scale impact financial distress in property and real estate firms traded on the Indonesia Stock Exchange. The selection of this sector stems from its high exposure to economic ups and downs, leaving its businesses particularly prone to financial troubles. Independent factors in the analysis include profitability, leverage, activity, and firm size, with financial distress serving as the outcome variable. Samples were drawn via purposive sampling from property and real estate entities listed on the Indonesia Stock Exchange over the 2022–2024 timeframe. Adopting a quantitative design, the study applies multiple linear regression as its core analytical tool. STATA version 17 handled the data analysis. Results show that, taken together, the independent variables exert a significant impact on financial distress. Ultimately, firms should optimize their financial metrics and pursue business growth to mitigate financial distress risks.

This study aims to analyze e-commerce strategies in selecting applicable law and jurisdiction to avoid conflicts of jurisdiction in cross-border transactions. This study employs a normative legal method using legislative, conceptual, and comparative approaches to analyze the selection of applicable law and jurisdiction in cross-border e-commerce transactions. The data used consists of primary and secondary legal materials collected through a literature review. The analysis was conducted qualitatively using descriptive-analytical and legal interpretation methods, as well as deductive reasoning to formulate strategies for minimizing jurisdictional conflicts. The research findings indicate that the application of the principle of freedom of contract, combined with international instruments and digital technology, can serve as an effective strategy for e-commerce actors to minimize jurisdictional conflicts and litigation risks. This strategy not only provides legal protection, particularly for SMEs, but also enhances the trust of global partners and competitiveness in the international market through the use of clear contract clauses, hybrid forums, and technological support such as blockchain and ODR.

Advances in information technology have brought significant changes to how Micro, Small, and Medium Enterprises (MSMEs) conduct their business operations, particularly in the areas of marketing and sales. However, Stretto Pizza MSME still relies on manual processes for ordering and transaction recording, which results in limited marketing reach, suboptimal data management, and an increased risk of errors in recording. This study aims to develop a web-based e-commerce information system that can integrate sales processes and data management more effectively. System development was conducted using the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The system was built using the PHP programming language with MySQL database support. System testing was performed using the Black-Box Testing method to ensure that every feature functions according to user needs. The research results show that the designed system is capable of supporting product ordering processes, customer data management, sales transactions, and report generation more efficiently. With this system, it is hoped that the Stretto Piza SME can improve its operations while expanding its marketing reach through the use of digital technology.

Vegetables are food commodities widely consumed by the public due to their high nutritional content. Chili (Capsicum annuum L.), green beans (Phaseolus vulgaris L.), and Chinese cabbage (Brassica pekinensia L.) are among the vegetables that can be processed into various delicious dishes or consumed fresh as raw vegetables. To obtain healthy and high-quality vegetable crops, pesticides are commonly used to control pests that may damage the plants. One of the widely used pesticides is chlorpyrifos, which can leave residues that may pose both acute and chronic health risks. Therefore, it is necessary to analyze the levels of chlorpyrifos pesticide residues in vegetables. The residue levels were determined using a UV-Vis spectrophotometer at a wavelength of 230 nm with dichloromethane as the solvent, while qualitative analysis was performed using HPLC by comparing the retention times of standard solutions and vegetable samples. In this study, washing treatments were applied to the vegetables using dichloromethane, distilled water, well water, and tap water (PDAM) to evaluate the effect of washing on pesticide residue levels. The concentrations of pesticide residues in unwashed vegetables were chili (2.6680 ± 0.0214 mg/kg), green beans (2.4658 ± 0.0193 mg/kg), and Chinese cabbage (2.7950 ± 0.0379 mg/kg). The washing process was carried out three times for each solvent. After three washings using dichloromethane and distilled water, pesticide residues were no longer detected, whereas washing with tap water (PDAM) and well water still left residues, although at levels much lower than the Maximum Residue Limit (MRL). The health risk assessment showed that the aHQ and cHQ values were < 1, indicating that consumption within the recommended limits of these samples does not pose health risks, either in the short term or long term. This study provides important information that repeated washing is necessary to effectively reduce pesticide residue levels in vegetables before consumption.  

This study aims to examine the relationship between family support and depression levels among the elderly in Pejuang Village, Bekasi City, through a descriptive-narrative literature review. The review analyzed relevant scientific articles discussing family support, social support, and depression in older adults. Literature was selected based on the suitability of the elderly population, the presence of family or social support variables, and the measurement of depressive symptoms or depression levels. The analysis compared each article’s objectives, research design, respondent characteristics, instruments, findings, and conclusions. The results indicate that most studies found a relationship between family support or social support and depression among the elderly. Adequate family support, including emotional, instrumental, informational, and appraisal support, helps older adults feel cared for, valued, secure, and better able to adapt to the aging process. Preliminary findings at the Elderly Posyandu in Pejuang Village also show variations in family support and depression levels among elderly participants. Conversely, limited family support may increase loneliness, psychological distress, and depressive symptoms. Therefore, family support functions as a protective factor in reducing depression risk among older adults. Strengthening the involvement of families, health workers, and elderly posyandu cadres is necessary as a promotive and preventive strategy to maintain psychological well-being through education, early detection, and sustainable community-based assistance for vulnerable elderly groups living in community and family environments.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

This study aims to analyze the impact of the USD/CNY exchange rate and the Federal Reserve interest rate on the stock returns of Volkswagen AG. Volkswagen AG is chosen as the object of analysis because it is a multinational corporation with significant exposure to the Chinese market, making it highly sensitive to fluctuations in global economic conditions, particularly exchange rate movements and monetary policy changes. The study adopts a quantitative research approach using multiple linear regression analysis to examine the relationships between variables. The data used are monthly secondary data covering the period from 2017 to 2023, resulting in 84 observations. The dependent variable in this study is Volkswagen AG stock returns, while the independent variables consist of the USD/CNY exchange rate and the Federal Funds Rate. The empirical results show that the USD/CNY exchange rate has a negative and statistically significant effect on Volkswagen AG stock returns, indicating that currency depreciation or appreciation plays a crucial role in influencing investor sentiment and firm valuation. In contrast, the Federal Funds Rate does not show a statistically significant effect on stock returns during the observed period. However, the simultaneous test indicates that both variables jointly have a significant influence on Volkswagen AG stock returns. Overall, the findings suggest that exchange rate risk is more dominant than U.S. monetary policy in affecting the stock performance of Volkswagen AG over the study period.

The management of ethical drug inventory is a crucial aspect of supporting the smooth delivery of healthcare services in hospitals. Improper management of ethical drugs can lead to stockouts or overstock, which results increased operational costs and the risk of drug expiration. This study aims to analyze the inventory control of ethical drugs at RSUD Inche Abdoel Moeis Samarinda using the Economic Order Quantity (EOQ), Safety Stock, and Reorder Point methods. The data used in this study are the consumption of ethical drugs during 2024, obtained from the hospital’s Pharmacy Installation. The data analysis method involves calculating ordering and holding costs, determining the optimal order quantity using EOQ, and calculating Safety Stock and ROP to maintain drug availability during lead time. The results of this study indicate that the application of the EOQ method provides a more optimal and efficient order quantity compared to previous policies. Furthermore, Safety Stock and ROP calculations assist the hospital in preventing ethical drug shortages and creating a more structured ordering schedule. Thus, the implementation of EOQ, Safety Stock and ROP methods can improve the efficiency of ethical drug inventory management while supporting the continuity of healthcare services at RSUD Inche Abdoel Moeis Samarinda.

Reading ability is a fundamental skill that must be mastered by first-grade elementary school students as a foundation for understanding various subjects. However, in practice, many students still experience difficulties in early reading, such as recognizing letters, combining syllables, and understanding simple words. One alternative method that can be used to address this issue is the storytelling method in learning activities. This study aims to describe the effectiveness of the storytelling method in improving the reading ability of first-grade elementary school students. This research employs a qualitative approach using a literature study method. Data were collected from various sources, including scientific journals, books, and relevant previous studies published within the last five years. The data collection technique was carried out through documentation, while data analysis used content analysis by reviewing, comparing, and synthesizing findings from different sources. The results of the study indicate that the storytelling method is effective in improving students’ early reading skills. This method enhances students’ reading interest, enriches their vocabulary, and helps them recognize letters and words more easily in an enjoyable learning environment. In addition, storytelling creates an interactive classroom atmosphere and increases student engagement in the learning process. In conclusion, the storytelling method is an effective and relevant instructional strategy to improve the reading ability of first-grade elementary school students. Therefore, it is recommended as an innovative approach to support the development of early literacy skills.