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This study discusses the 17th Sustainable Development Goal (SDG), Partnership for the Goals, which highlights the importance of global collaboration in achieving shared prosperity. The main focus of this research is on three key instruments of global partnership: external debt, foreign investment, and foreign aid. These instruments play a crucial role in supporting development in developing countries, but they also raise controversies related to economic dependence, global power imbalances, and the effectiveness of aid. This study employs a descriptive qualitative approach based on a literature review of international reports and academic research. The analysis shows that although debt, investment, and foreign aid offer opportunities for technology transfer, economic growth, and poverty reduction, their sustainability largely depends on governance, transparency, and equality among nations. Therefore, global partnerships should be directed toward more inclusive and equitable systems to ensure that global development goals can be achieved sustainably.

This study examines the influence of foreign ownership, return on assets (ROA), and firm size on environmental, social, and governance (ESG) disclosure among energy sector companies listed on the Indonesia Stock Exchange (IDX) during 2022–2024. The sample was selected through purposive sampling, including firms that consistently published annual and sustainability reports in accordance with the Global Reporting Initiative (GRI) standards. ESG disclosure was measured as the proportion of disclosed GRI indicators to the total applicable indicators. Multiple linear regression analysis shows that foreign ownership and firm size significantly enhance ESG disclosure, while ROA has no significant effect. These results support legitimacy theory, suggesting that companies increase ESG transparency primarily to secure societal acceptance and maintain their social license to operate. In the energy sector, where environmental sensitivity and public scrutiny are high, ownership structure and firm scale emerge as stronger determinants of ESG disclosure than short-term profitability.

In the face of global economic uncertainty and property market fluctuations, companies in the property and real estate sector are required to maintain profitability. This sector contributes significantly to the national GDP, but it has also faced pressure due to declining demand and instability in the growth of the real estate sector's GDP from 2021 to 2024. Profitability is a key indicator of a company's sustainability, influenced by various internal factors such as liquidity, firm size, and gender diversity in leadership. The target population of this inquiry encompasses property and real estate enterprises enumerated on the Indonesia Stock Exchange throughout the 2021–2024 interval. Through the application of purposive sampling, a total of 52 data observations were delineated as the empirical sample. The dataset was subjected to scrutiny employing multiple linear regression procedures facilitated by SPSS software version 26. The empirical outcomes substantiate that liquidity, firm size, and gender diversity simultaneously influence profitability. Partially, liquidity has a positive and significant effect on profitability, while gender diversity has a negative and significant effect. In contrast, firm size does not have a significant influence on the profitability of property and real estate companies listed on the Indonesia Stock Exchange during the 2021–2024 period.

This study analyzes the synergy between human resource development (HRD), work culture, and decision-making systems in enhancing productivity and organizational performance. The approach used is a descriptive qualitative literature review, with sources from peer-reviewed articles from 2021-2025 obtained through databases such as Google Scholar and ScienceDirect. The research findings indicate that HRD can improve employee competence by up to 28.7%, while work culture contributes 41.4-55% to motivation and collaboration within teams. Decision-making systems, such as AHP (Analytical Hierarchy Process) and BI (Business Intelligence), play a role in optimizing operational efficiency by up to 65%. The synergy of these three elements forms a more adaptive organization to change. One example of the implementation of this synergy can be seen in PT X Jakarta, which experienced a 28% increase in output and employee satisfaction reached 85%. However, the main challenge faced is resistance to change, which can be overcome through effective communication. The practical implications of this study include recommendations for holistic organizational transformation, especially in Indonesia, to face the challenges of global disruption.

Advances in accounting technology and economic decision-making have resulted in many important risk assessment tools that support the decision making process. In the past, risk assessment depended on personal opinions and manual analysis, which often resulted in inaccurate estimates and delays in decision-making. However, with these risk assessment tools, we can now identify, analyze, and mitigate various risks that can affect financial and economic outcomes in a more accurate and efficient manner. This study aims to discuss technology in the form of risk assessment tools as an aid in decision-making and identify trending topics related to the use of risk assessment tools from 2020-2025, particularly in Indonesia. This study uses a qualitative approach and collects data from the scopus database of 1.827 articles selected from 2020 to 2025. In understanding research from the scopus database, bibliometric analysis was used in this study and using analysis tools such as R Studio and Vos Viewer. The results of the study show a significant increase in publications related to risk assessment tools with a growing trend toward international collaboration. The dominant themes that emerged include decision making, artificial intelligence, climate change, health risks, and financial markets. In addition, the increasing number of publications with international collaboration trends shows that the use of risk assessment tools has become a global standard that Indonesia needs to adapt. The government can use these findings as a basis for formulating policies that are more adaptive to technological developments.

Global data shows that more than 60% of adolescents report experiencing moderate to severe stress due to academic and social demands. Physical activity plays an important role in maintaining adolescent mental health. Regular physical activity can stimulate the release of endorphins, improve cognitive function, reduce muscle tension, and reduce levels of cortisol, the main hormone associated with stress. One of the easiest, cheapest, safest, and most accessible forms of physical activity is walking. Walking is a moderate-intensity aerobic activity that has been proven to improve mood, improve sleep patterns, and reduce anxiety. The purpose of this study was to determine the effectiveness of walking as a physical activity on stress disorders in adolescents. The research method used a quasi-experimental design with a pretest-posttest control group approach, involving 44 participants, comprising 22 intervention and 22 control subjects. The walking activity was conducted for three consecutive days, with a duration of 60 minutes, from 16:00 to 17:00 WIB, on 16-18 December 2024. The sample criteria were first-year nursing students in their first semester who performed walking activities continuously for three days. The results showed a significant difference in stress levels before and after the intervention, with a significance level of (Z=-3.557, p=0.000). This means that there was a significant difference in stress levels between before and after the physical activity intervention. The difference in stress levels before and after the intervention in the control group was significant (Z=-1.000, p=0.317). This means that there was no difference in stress levels in the control group. The difference in stress levels between the intervention group and the control group after treatment was significant (Z=-3.445, p=0.001). This indicates that there is a significant difference in stress levels between the intervention group and the control group after the physical activity intervention. Walking is an effective, affordable, and feasible intervention for the adolescent population as a promotive and preventive strategy in stress management.

Advances in technology and social media have changed the way individuals obtain information and interact, especially in the context of global culture. BTS, a famous South Korean boy band, utilized social media to build a strong relationship with their fans, ARMY, through the campaign “Love Myself.” The campaign emphasized the importance of self-love and raised issues of mental health and violence. The campaign emphasized the importance of self-love and raised issues of mental health and violence. Through platforms such as Twitter and Instagram, BTS interacted directly with ARMY, who responded with significant support, including a 2.4 billion won donation to UNICEF. This interaction not only strengthened the online community but also helped boost fans' confidence. This research analyzes the impact of the “Love Myself” campaign on ARMY's engagement in social issues through social media. Furthermore, the resulting impact provides important insights into how celebrities and social media can influence broader social change. The campaign also reflects a shift in traditional ways of advocating and supporting social issues.

The rapid development of digitalization and innovation has become a key driver in improving business processes and the competitiveness of organizations worldwide. This study is the first comprehensive bibliometric analysis examining the relationship between digitalization and innovation in business processes, to map the intellectual structure of this field, track the development of its themes, and identify remaining research gaps. This analysis, which utilizes data from Scopus processed using VOSviewer and Biblioshiny software, covers publications from 2010 to 2024 and employs co-occurrence, co-authorship, and thematic evolution techniques. The results show a rapid growth in publications since 2016, peaking at over 110 publications in 2024. Eight key thematic clusters stand out: Industry 4.0, artificial intelligence, robotic process automation, blockchain, drivers, and agile business process management. Despite the field's maturity, it still suffers from high fragmentation, strong geographic concentration, and a reliance on cross-sectoral research designs. As a result, longitudinal insights remain limited, and digital transformation failure rates remain high, reaching up to 70%. This research presents the first quantitative and visual roadmap of global knowledge flows in this domain and underscores the need for longitudinal, geographically inclusive, and people-centric research to move beyond single-point understandings to a sustainable, context-sensitive framework that enhances both the theoretical depth and practical success of digital-based business process innovation

Hypertension is a major global health risk that requires accurate early detection, yet conventional methods struggle with complex and imbalanced health datasets. This study aims to optimize hypertension prediction using a Logistic Regression model integrated with Borderline-SMOTE to enhance recall and provide model transparency through SHAP (Shapley Additive Explanations). The method utilizes the BRFSS dataset, applying Borderline-SMOTE to address class imbalance at the decision boundary and XAI techniques for global and local interpretation. The findings show that the model achieved an accuracy of 0.719, an AUC of 0.800, and a significantly improved recall of 0.756. SHAP analysis identified age, high cholesterol, and BMI as the most influential risk factors, while waterfall plots successfully clarified individual risk extremes, ranging from 1.72% to 99.43% probability. These results imply that the proposed approach provides a sensitive and transparent screening tool for public health practitioners, effectively balancing statistical efficiency with clinical accountability.

The quality of human resources is a fundamental pillar of a country’s development, and education plays a crucial role in shaping this quality. Education not only provides knowledge and skills but also builds attitudes, values, and competencies that enable individuals to contribute effectively to social and economic development. This study aims to examine how education can enhance human growth and improve the overall quality of human resources. The research employs a descriptive quantitative method by distributing questionnaires to thirty members of the general public. The collected data were analyzed using descriptive statistical techniques to identify community perceptions regarding the importance of education in human development. The results show that the majority of respondents strongly believe that education has a significant positive impact on human growth. Education is perceived as an essential tool for improving critical thinking abilities, increasing productivity, and fostering awareness of the importance of active participation in national development processes. Furthermore, respondents indicated that education contributes to the development of discipline, creativity, and adaptability, which are necessary to face global challenges and technological changes. Education also plays an important role in reducing social inequality by providing equal opportunities for individuals to improve their quality of life. Overall, these findings confirm that improving the quality of education should be a top priority in national development strategies. High-quality education is essential to produce competitive, innovative, and superior human resources that can significantly contribute to sustainable national progress.

 The development of modern education requires a strong philosophical foundation to ensure that learning processes are not merely technical but oriented toward holistic human formation. This article aims to comprehensively analyze the role of the philosophy of science within contemporary education through a conceptual exploration grounded in an extensive literature review. The philosophy of science with its three major pillars: ontology, epistemology, and axiology serves as an analytical framework for understanding the nature of human beings, the structure of knowledge, and the values embedded within educational objectives. The research methodology employs the Miles and Huberman data analysis model, consisting of data reduction, data display, and conclusion drawing/verification. The findings indicate that the philosophy of science plays a strategic role in providing direction and orientation for the development of humanistic, adaptive, and globally responsive education. Moreover, this study reveals that the advancement of scientific knowledge encounters significant challenges, including ontological complexity, epistemological crises driven by digital disruption, moral degradation, and shifting scientific paradigms. In the age of artificial intelligence and globalization, the philosophy of science emerges as an ethical and methodological compass to ensure that scientific progress remains aligned with human welfare. This study underscores the urgency of reconstructing educational paradigms by integrating humanistic values, local wisdom, and modern scientific thought to realize a future of science that is ethical, sustainable, and dignified.

Economic forecasting is becoming increasingly important year after year, especially during crises such as the pandemic of COVID-19 and the Russia-Ukraine war. Its development can be seen from the use of basic statistical models to the increasingly widespread use of machine learning technology. Economic forecasting plays an important role in helping to formulate policies and is also a reliable tool for researchers in dealing with uncertainty. Global crises, such as inflationary pressures due to the pandemic and supply chain disruptions from the Russia-Ukraine conflict, have prompted increased research in this field in an effort to anticipate economic shocks and emphasize the urgency of forecasting to prepare strategies for dealing with future uncertainty. This literature review uses the Scopus database with 2561 publications from 2020 to 2025, analyzed using R Studio with a bibliometrix approach (specifically biblioshiny) and VOSviewer to map relevant thematic connections. This analysis shows that economic forecasting is greatly influenced by market uncertainty and geopolitical factors, and at the same time influences public policy formulation and financial stability. Research contributions from Indonesia are still limited, with only 40 documents, thus emphasizing the need to strengthen economic forecasting studies in Indonesia to support monetary policy and national financial stability.

Climate risk finance has emerged as an increasingly important field of research along with the growing urgency to address climate change and its impacts on the global financial system. Climate change poses real risks to the stability of the international economy and financial systems. Climate risk finance represents an approach that encompasses various financial instruments in supporting climate change mitigation and adaptation. Although the term climate risk finance has not been widely used explicitly as a single keyword, the concept that integrates climate risk and financing is reflected in related keywords such as climate risk, climate finance, and climate change. This study employs a bibliometric analysis method using the Scopus database, supported by analytical tools such as VOSviewer and R Studio, to explore the development of research on climate risk finance. The study identifies publication patterns, international collaborations, and emerging themes within the related literature. The findings show that the publication rate on climate risk finance is relatively moderate each year, but has experienced growth in the last decade. The evolving understanding in this field is expected to strengthen the resilience of financial systems and support sustainable strategies to address long-term climate risks.

The rise of financial technology (fintech) has significantly reshaped global investment over the last decade. Fintech innovations are increasingly applied in areas such as digital investment platforms, robo-advisors, blockchain-based assets, and cryptocurrency trading. The adoption of fintech in investment continues to grow due to the rising demand for accessibility, transparency, and efficiency in financial markets. Fintech has the potential to democratize investment by lowering entry barriers, expanding financial inclusion, and offering diverse investment instruments for retail investors. Therefore, research on fintech and investment has become an essential topic in recent years. This study uses a qualitative approach with data obtained from the Scopus database, which includes a total of 4,794 articles on fintech and investment published in the last decade (2020–2025). In addition, several software tools such as R Studio, VOSViewer, and Publish or Perish were used for data processing and bibliometric visualization. This study aims to analyze the development of research trends in fintech-driven investment, explore how technology is changing investor behavior, and provide insights for policymakers and practitioners in strengthening a sustainable and inclusive investment ecosystem.

Digital payment systems have become one of the main innovations in financial transformation. Over the past few years, these systems have gained significant traction and are now at the forefront of reshaping financial landscapes globally. Currently, digital payment systems have changed global transactions by slowly replacing the transaction patterns of societies that were previously dominated by conventional transactions, offering more efficiency, security, and accessibility. This transformation is closely related to the development of fintech, which has given rise to instruments in the form of electronic money and blockchain technology. These advancements have not only changed the way payments are made but also enabled the inclusion of previously underserved populations in the financial ecosystem. This study uses a bibliometric approach to analyze scientific publications, with the main sources coming from Scopus using the keywords “digital payment systems,” “electronic money,” and “fintech.” By utilizing Biblioshiny in the VOSviewer application, this study aims to examine publication trends, contributions from various countries, institutions involved, and thematic connections between topics. In conclusion, this study contributes to expanding the understanding of the development of digital payment systems, while also presenting a global research map that can be used as a reference for academics, researchers, and policymakers involved in financial innovation.

The concept of green business performance has been an interesting topic for research among well-known scholars. Green business has become crucial for advancing sustainability and fostering innovation. Green business performance has become the global requirement due to the recent economic disaster, and green measures have been considered the leading solution for it. This study aims to explore how sustainability intersects with strategic business practices, offering actionable insights for aligning environmental sustainability with economic growth. To find worldwide research trends, bibliometric analysis was performed using R studio and VOSviewer software on 3007 scientific publications from Scopus from 2021 to 2024. Bibliometric analysis uses key words to enable the study of specific details, within the main topics of research, within a domain, and relationships at the micro-level. These methods facilitated an in-depth exploration of the evolution and impact of green business for sustainability. This study bridges existing gaps by providing actionable insights into how green business drive sustainable development, offering value to researchers, policymakers, and business leaders seeking to integrate environmental sustainability with economic growth.

The implementation of industrial engineering technologies, such as automation, the Internet of Things (IoT), artificial intelligence (AI), and lean manufacturing, has significantly transformed human resource (HR) capabilities in the production sector, particularly in response to the Industry 4.0 paradigm. This study aims to examine the relatively low level of technology adoption in Indonesia, estimated at only 6–20% of manufacturing companies, and its impact on the development of HR competencies. The analysis focuses on changes in technical skill requirements, including digital literacy, data analytics, and technology-based decision-making, as well as the shift in job roles from manual tasks to more strategic functions. This research employs a qualitative descriptive approach grounded in sociotechnical systems theory and the strategic alignment model. The findings indicate that existing skill gaps can be addressed through continuous upskilling and reskilling programs, supported by strengthened triple helix collaboration among government, industry, and educational institutions. The implementation of these strategies has been shown to increase productivity by approximately 30–72% and enhance the competitiveness of the national production sector in the global industrial landscape.  

Diabetes Mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action or both. Hyperglycemia is a medical condition in the form of an increase in glucose levels beyond normal limits which is a characteristic of several diseases, especially Diabetes Mellitus, in addition to various other conditions. Diabetes Mellitus is currently a global health threat. Classification is one of the techniques of data mining that can be used to help predict the results of the classification of types of diabetes using the naïve Bayes algorithm. Testing was carried out using 5 evaluation models including rapid miner with 3 options, namely use training set, 5 Fold Cross-Validation, 10 Fold Cross-Validation, and 2 other evaluation models, namely Microsoft Excel and Python. Testing data regarding Diabetes Mellitus has high accuracy in the excel evaluation model, which is 89.00% compared to other evaluation models. Meanwhile, the lowest accuracy is the Python evaluation model which obtains an accuracy of 86.36%. The Naïve Bayes algorithm can be said to be one of the most effective algorithms, both in terms of calculations and the final results, where the test can be used as a basis for diabetes mellitus considering the accuracy results are above 85%.

We give thanks to the presence of God Almighty because, by His abundant grace and blessings, this course material has been compiled as a form of commitment to instill and develop the noble values of Pancasila among the younger generation, especially students. In the midst of the tide of globalization bringing various changes and challenges, it is important for us to hold firmly to the fundamental values that serve as the identity and foundation of the Indonesian nation. Pancasila — as the state foundation and national ideology — should not only serve as a formal symbol of the nation, but must become a moral guide in attitude, thought, and action. In the context of a global society, students are required not only to be intellectually and professionally capable, but also resilient in upholding Pancasila-based national values. Through this material, it is hoped that students will be able to understand, internalize, and actualize the values of Pancasila concretely in campus life, social life, and even in the global sphere. Character education based on Pancasila becomes the key in shaping a generation who are integrous, empathetic, competitive, and uphold the values of humanity, democracy, and justice. In closing, may this material become a real contribution in shaping a young generation who are not only knowledgeable, but also have noble character — as a manifestation of the true Pancasila generation.

The digital era has transformed the financial sector through the integration of FinTech, making it more susceptible to increasingly complex cyber threats. As these risks rise, there has been a significant increase in academic research to better understand the cybersecurity challenges within the financial sector. This study aims to explore the development of cybersecurity research globally within this field. By utilizing bibliometrics, the research analyzes literature data collected from the Scopus database over the last five years. The analysis was conducted using VOSviewer and RStudio to identify dominant clusters, with cybersecurity and network security as the central themes linking various sub-fields, including artificial intelligence, cyberattacks, and phishing. The findings reveal areas of extensive research and highlight gaps that require further exploration. This study provides valuable insights for researchers and professionals in the cybersecurity field, offering a roadmap for future investigations and the identification of underexplored areas that need attention. Ultimately, this research contributes to advancing knowledge in the financial sector’s cybersecurity landscape and assists in shaping future research directions.