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The implementation of Patient Safety Goals remains a major challenge in hospital management, particularly in ensuring consistent compliance among nurses. This study aims to analyze the influence of nurses’ knowledge and motivation on the implementation of Patient Safety Goals, with clinical leadership positioned as a mediating variable. A quantitative cross-sectional design was employed in a general hospital in Jakarta, Indonesia. Data were collected from 119 nurses across inpatient, outpatient, emergency, and operating units using structured questionnaires. The data were analyzed using Structural Equation Modeling (SEM) with AMOS, supported by the Three-Box Method to assess the level of variable achievement. The results indicate that nurses’ knowledge and motivation have a significant direct effect on clinical leadership. Clinical leadership also demonstrates a significant positive effect on the implementation of Patient Safety Goals. Furthermore, clinical leadership plays a significant mediating role in the relationship between both nurses’ knowledge and motivation and the implementation of Patient Safety Goals. The model explains 76.67% of the variance in Patient Safety Goal implementation, highlighting the strategic role of clinical leadership in translating individual competencies into safe clinical practices. These findings contribute to healthcare management literature by reinforcing the importance of clinical leadership as an organizational mechanism that strengthens patient safety performance. From a managerial perspective, the study emphasizes that improving patient safety outcomes requires not only enhancing nurses’ knowledge and motivation, but also systematically developing clinical leadership competencies. Hospital management is encouraged to invest in leadership development programs, supportive supervision, and non-punitive incident reporting systems to ensure sustainable implementation of Patient Safety Goals.

This study aims to analyze the influence of the implementation of the Internal Quality Assurance System (SPMI) and principal leadership on the quality of educational services in South Konawe Regency, Southeast Sulawesi. The research employed a quantitative descriptive approach with a survey design to obtain an empirical overview of the relationships among the variables examined. The population consisted of all principals at the elementary, junior high, senior high, and vocational high school levels, totaling 70 respondents. The sampling technique used purposive sampling based on specific criteria relevant to the research objectives. Data were collected through questionnaires that had been tested for validity and reliability to ensure the accuracy and consistency of the research instrument. Data analysis was conducted using multiple linear regression with the assistance of SPSS version 25.0. Prior to hypothesis testing, classical assumption tests were performed, including normality, multicollinearity, and heteroscedasticity tests, to ensure the feasibility of the regression model. Furthermore, the F-test was conducted to examine the model’s overall significance, while the t-test was used to determine the partial effect of each independent variable on the dependent variable. The results indicate that the implementation of SPMI and principal leadership have a positive and significant effect on the quality of educational services. These findings highlight the importance of strengthening managerial capacity and internal commitment in implementing SPMI, as well as enhancing principal leadership quality to continuously improve educational service standards and overall education quality.

This study aims to examine the factors influencing the level of sustainability report disclosure based on OJK regulations in KBMI 3 banking companies listed on the Indonesia Stock Exchange in 2023. The level of sustainability disclosure is measured using the Sustainability Report Index (SR Index), constructed through content analysis of indicators stipulated in POJK No. 51/POJK.03/2017. The independent variables analyzed in this study include firm size, profitability proxied by Return on Assets (ROA) and Return on Equity (ROE), foreign ownership, and firm age. This research employs a quantitative explanatory approach using secondary data obtained from annual reports and sustainability reports. Data were analyzed using multiple linear regression with SPSS. The results indicate that firm size, foreign ownership, and firm age have a positive and significant effect on the level of sustainability report disclosure. Conversely, profitability measured by ROA and ROE does not have a significant effect. Simultaneously, all independent variables significantly influence sustainability report disclosure. These findings suggest that structural and ownership characteristics play a more dominant role in determining sustainability disclosure than financial performance, reflecting the regulator-driven nature of sustainability reporting in the Indonesian banking sector.

The results of the 2022 PISA indicate that science skills and interest in Indonesia are still low. One way to increase interest in science is by introducing inventor figure of science and techonology. However, alternative learning media that are communicative and relevant to adolescents' media consumption habits are needed. Therefore, this study aims to design a character design for an inventor in the field of science and technology for a Webtoon comic as an educational tool for adolescents aged 15–18. This study used qualitative and quantitative methods. The qualitative method was used to understand the needs and interests of the target audience and to gather information from the literature for scientific sources in designing the inventor character. The quantitative method was used as one of the character design evaluation criteria, based on voting results by adolescents aged 15–18. The character design used Marika Nieminen's principles: demographics, silhouette and shape, color, and characteristics. Several alternatives were used to generate character designs, which were then evaluated to determine the final design. The character design evaluation will be assessed using several variables within an evaluation framework.

This study aims to analyze the determinants of tax aggressiveness in construction, property, and real estate companies listed on the Indonesia Stock Exchange (IDX) during 2021–2024. The sample consists of 80 companies with 220 observations, selected using purposive sampling based on criteria such as the availability of financial statements and the absence of losses during the research period. The variables include tax aggressiveness (ETR), profitability (ROA), leverage (DAR), board size, and firm size (SIZE). Data were analyzed using PLS-SEM with WarpPLS 8.0. The results show that profitability has a negative and significant effect on tax aggressiveness, while leverage has a positive and significant effect. Board size does not significantly affect tax aggressiveness but positively influences profitability and leverage. Firm size negatively affects profitability but positively impacts board size and leverage. These findings indicate that financial factors are more dominant in determining tax aggressiveness than board size, a corporate governance mechanism

The objective of this study is to examine the effects of profitability, liquidity, leverage, and asset growth on dividend policy among food and beverage companies listed on the IDX during 2020-2023. The dependent variable in this study is dividend policy, specifically the proxy dividend payout ratio (DPR). The independent variables, including profitability as measured by return on equity (ROE), liquidity as measured by the current ratio (CR), leverage as measured by the debt-to-equity ratio (DER), and asset growth as measured by the asset growth proxy (Growth), will also be examined. The data collection process used secondary data and employed purposive sampling. The study’s initial population included 95 samples; however, after applying the criteria, 17 were found relevant. The methods used in this study include descriptive statistical analysis, classical assumption test, hypothesis testing, and multiple linear regression analysis. The study’s results suggest that profitability, liquidity, and leverage may have simultaneous effects on dividend policy. It appears that profitability and liquidity may positively affect dividend policy, while leverage may negatively affect it, and asset growth may have no effect. It is hoped that the results of this study will provide a useful reference point for management and other relevant parties as they plan dividend policy, maintain business continuity, and make investment decisions.

Tax is a major source of government revenue; however, tax avoidance remains a significant issue, particularly in the property and real estate sector, which is characterized by high growth and complex financial structures. This study examines the effects of leverage, profitability, and sales growth on tax avoidance, with firm size as a moderating variable. The study employs a quantitative approach, using secondary data from the annual financial statements of property and real estate companies listed on the Indonesia Stock Exchange for the 2020–2024 period. The sample was selected using purposive sampling, and the data were analyzed using panel data regression techniques. Tax avoidance is proxied by the Cash Effective Tax Rate, leverage is measured by the Debt-to-Equity Ratio, profitability is measured by Return on Assets, sales growth is calculated as the annual change in sales, and firm size is measured using the natural logarithm of total assets. The results indicate that leverage and profitability significantly affect tax avoidance, whereas sales growth does not. Firm size is found to moderate the relationship between leverage and tax avoidance as well as between profitability and tax avoidance, but it does not moderate the relationship between sales growth and tax avoidance. The novelty of this study lies in the inclusion of sales growth as an independent variable and the positioning of firm size as a moderating variable within the property and real estate sector during the post-pandemic period. These findings provide practical implications for corporate tax management strategies and offer insights for regulators in strengthening tax supervision based on firm characteristics.

Hypertension contributes to numerous complications such as heart disease, stroke, kidney failure, and is a risk factor of disability and death. Hypertension Prevalence in Jatinangor is 37.8%, that is higher than national rate. The control of hypertension is low and the education at the primary health facility is short. Therefore, another buffer system for education such as posbindu is needed. Activities that educate people with hypertension become very important, but need to be adjusted as needs. Aim of this study is to determine form and intensity of education preferred by hypertension patients Method: Qualitative descriptive with case study approach using focused group discussion (FGD) method, led by main moderator and assisted by a second moderator. Participants consisted of 15 people with hypertension chosen purposively with the inclusion criterias female and parallel to the research objective. The discussion used semi-structured questions. This study is conducted in two villages in Jatinangor, Desa Cipacing and Desa Cilayung from February to May 2017. Results: Participants wanted education in the form of traditional learning, game simulation, written notes, and video recording. The intensity of education preferred until patients understand, it tends to be performed more than once, and preferred place are performed within Posyandu (Integrated Health and Nutrition Post) with education frequency varies from once a week to once a month. Conclusion: Hypertension patients have variable preference of education forms and its intensity. Innovations in the development of methods in accordance with hypertension patients’ needs must be continued, so that interventions can become more effective for hypertension patients.

This study aims to determine the effect of corruption and external debt on poverty in Indonesia during the period 2003–2022, both simultaneously and partially. The data used in this study are secondary data obtained from the World Bank (WB) and Transparency International (TI). The analysis was conducted using the multiple linear regression method with the assistance of EViews 13 software. The results show that, simultaneously, corruption and external debt variables influence the level of poverty in Indonesia. Partially, both variables have a negative and significant effect on poverty during the study period. This means that the lower the level of corruption and the better the management of external debt, the lower the poverty rate in Indonesia tends to be. Overall, the findings indicate that reducing the level of corruption and improving external debt management are important steps in poverty alleviation efforts in Indonesia.

This study aims to analyze the influence of economic growth, population, and education on poverty in Sidoarjo Regency during the period 2014–2023, motivated by the persistently high poverty rate despite the region experiencing rapid economic growth and industrial development. Using secondary data from BPS and analyzed quantitatively through multiple linear regression with the assistance of SPSS, this study found that the three variables simultaneously have a significant effect on poverty, while partially, education is the most effective factor in reducing poverty compared to economic growth and population, which have a negative but not significant effect. These findings highlight the importance of equitable distribution and improvement in the quality of education as a primary strategy for poverty alleviation, as well as the need for more inclusive economic policies. Further research is recommended to include other variables such as income inequality, unemployment, and the quality of infrastructure to make the analysis of poverty determinants more comprehensive

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

Indonesia ranks second in the world and Bandar Lampung City is the region with the highest TB incidence in Lampung Province with a treatment success rate that is still below the national target. This study aims to analyze the risk factors associated with the incidence of pulmonary TB in the Kedaton Community Health Center Working Area of ​​Bandar Lampung City using a quantitative analytical study with a case-control design. The study sample consisted of 40 cases (smear-positive pulmonary TB patients) and 40 controls (closest neighbors without TB) taken using a consecutive sampling technique, where data were collected through interviews, observations, and measurements using questionnaires and physical measuring instruments at home. The results of the bivariate analysis showed that employment status (p = 0.024) and bedroom ventilation (p = 0.040) had a significant relationship with the incidence of pulmonary TB, while the results of the multivariate analysis using multiple logistic regression showed that gender (p = 0.015) and bedroom ventilation (p = 0.009) were significantly related variables. The conclusion of this study determined that bedroom ventilation was the most dominant variable associated with pulmonary TB incidence, with inadequate ventilation having a 3.91-fold increased risk (OR=3.91; 95%CI=1.41-10.94) compared to adequate ventilation after controlling for gender.

This study aims to analyze the influence of digitalization on the lifestyles of students at Universitas Nasional Pasim. The research employs a quantitative approach through field survey methods, targeting a population of 123 students from the Faculty of Economics, Class of 2025. A minimum sample size of 56 respondents was determined using the Slovin formula. The sampling technique utilized was purposive sampling, while data analysis involved validity and reliability tests, classical assumption tests, and multiple regression analysis to determine the relationships between variables. Empirical results indicate that digitalization has a positive and significant influence on student lifestyles, with the F-calculated value exceeding the F-table at the specified level of significance. The R-Square value further explains the contribution of the digitalization variable to changes in the respondents' lifestyles. The findings reveal positive impacts such as increased academic efficiency, instant access to information, and the convenience of transactions through practical digital payment systems. Conversely, negative impacts identified include a rise in consumptive behavior driven by cashless and paylater features, where student budgets are increasingly used for non-academic purposes. Furthermore, high intensity of social media usage triggers the Fear of Missing Out (FOMO) phenomenon and a decline in real-world social interaction. In conclusion, digitalization is a pivotal factor in shaping modern student lifestyles. It is essential to enhance financial literacy and strengthen self-control to minimize the negative impacts of technology in the future.

This study aims to analyze the effectiveness of public service policy implementation at the Regional Technical Implementation Unit of the Freshwater Fish Cultivation Center (UPTD BBIAT) in Pekalongan Regency, focusing on the influence of service quality on fish farmers' satisfaction mediated by trust. The research employs a mixed-methods approach with a concurrent embedded design, combining a survey of 40 fish farmers and in-depth interviews with 5 key informants from the UPTD and Agency levels, along with observation and document analysis. The theoretical framework is built on New Public Service Theory, Policy Implementation Theory, and the SERVQUAL, trust, and public satisfaction concepts. The research findings indicate that all three variables are in the high category with robust and significant positive correlations: service quality with trust, service quality with satisfaction, and trust with satisfaction. Trust has been shown to play a strong mediating role in the relationship between service quality and fish farmers' satisfaction. The assurance and empathy dimensions are the strengths of UPTD BBIAT, while tangibles and reliability require improvement through infrastructure modernization and enhanced consistency in seed availability. Theoretically, this research confirms the applicability of the SERVQUAL model and trust theory in the context of public services in the fisheries sector. In practice, it provides strategic recommendations to improve policy implementation effectiveness through infrastructure strengthening, human resource development, service digitalization, and enhanced institutional coordination.

The development of digital technology, particularly social media, has brought significant changes to human social interaction patterns. Although the ease of digital communication offers various advantages, in reality, it does not always reduce feelings of loneliness. This study aims to analyze the relationship between the intensity of social media use and loneliness levels among students in the digital era. The method used in this research is a quantitative approach with a correlational design, involving 120 active students as the sample. To measure the variable of social media use intensity, the Social Media Intensity Scale was used, while loneliness levels were measured using the UCLA Loneliness Scale. The data analysis results showed a significant positive relationship between the intensity of social media use and loneliness levels among students. This means that the higher the intensity of students' social media use, the higher the loneliness they feel. These findings provide important insight that, despite social media facilitating easier interactions, excessive use does not always positively affect the quality of social relationships. On the contrary, high social media use intensity can be associated with greater feelings of loneliness, indicating the need for a deeper understanding of the impact of social media use on individuals' emotional well-being.

Government and government transparency on community participation, with government accountability as an intervening variable. The study used a quantitative approach based on Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were obtained through questionnaires distributed to the community of Maladum Mes District, Sorong City. The results show that government transparency and public perception of the government's role have a positive and significant effect on government accountability. In addition, government transparency, public perception, and government accountability have a positive and significant effect on community participation. The mediation test results show that government accountability partially mediates the effects of government transparency and public perception of the government's role on community participation. These findings confirm that increasing community participation depends not only on information disclosure and positive perceptions, but also on the extent to which the government is accountable to the public for its performance. This study offers theoretical implications for strengthening the concept of good governance and practical implications for local governments in designing participatory policies.

This study examines the mediating role of SDG disclosure in the relationship between ESG score and financial performance within the mandatory reporting context of non-financial firms listed on the Indonesia Stock Exchange during 2021-2023. Using a purposive sample of 59 companies (177 observations), the analysis employs panel data regression and the Sobel test to evaluate ESG metrics from Refinitiv Eikon alongside disclosure and financial data from corporate reports. Empirical results show that ESG score does not significantly predict SDG disclosure nor directly affect financial performance measured by ROE. Furthermore, SDG disclosure shows no significant association with financial performance and fails to mediate the ESG-ROE relationship. Firm size is the only variable positively related to SDG disclosure, suggesting that reporting practices are more strongly driven by organizational resources and public visibility than by substantive ESG performance. Overall, the findings reveal a decoupling phenomenon, where sustainability reporting in Indonesia tends to reflect symbolic compliance rather than value-creating integration. The study concludes that a credibility gap exists in the capital market, as SDG disclosure has not yet functioned as an effective mechanism for converting ESG performance into financial gains. This study provides evidence on the limitations of SDG disclosure as a value transmission mechanism in emerging market, offering insights for regulators and market participants seeking to enhance the economic relevance and credibility of SDG reporting.

This study examines the influence of memorable tourism experiences and operational risk management in tourist train transportation on positive Word of Mouth (WOM), with tourist satisfaction serving as a mediating variable. A quantitative approach was employed, and data were processed using SEM-PLS 4. The research sample consisted of 247 respondents who had used tourist train services within the past year. The results reveal that both effective risk management practices and memorable tourism experiences perceived by tourists significantly impact tourist satisfaction. Additionally, tourist satisfaction plays a crucial mediating role in generating positive WOM. The study highlights that memorable tourism experiences, including aspects such as comfort, scenic views, and the quality of service, significantly enhance tourist satisfaction. Furthermore, operational risk management, which includes ensuring passenger safety, maintaining service reliability, and handling emergencies effectively, is essential for cultivating satisfaction and positive WOM. The findings suggest that businesses in the tourism industry, particularly those operating tourist trains, should prioritize both risk management and creating memorable experiences to foster customer loyalty and enhance WOM. This study contributes to understanding the dynamic relationship between risk management, customer satisfaction, and WOM in the tourism sector, providing valuable insights for improving service strategies in tourist train transportation.

This study aimed to determine the relationship between shyness and social anxiety in new students in the Faculty of Psychology at Satya Wacana Christian University (UKSW). The method used was quantitative, using a simple random sampling technique involving 99 subjects. This study measured shyness and social anxiety using two instruments: the RCBS 13 for shyness and the SAS-A for social anxiety. The collected data were then analyzed using the Pearson Product Moment statistical method to determine the relationship between the two variables. The results showed no significant relationship between shyness and social anxiety in new students, with a correlation (R) of 0.86 and a significance level of 0.398 (P > 0.05). This indicates that high levels of shyness in new students do not directly correlate with their levels of social anxiety. This means that higher levels of shyness do not necessarily lead to increased levels of social anxiety. This finding contradicts several previous studies that suggested a positive relationship between shyness and social anxiety. This study provides new insights into the psychological dynamics experienced by new students, particularly in the UKSW Faculty of Psychology, which should be considered in developing orientation programs or mental health support for new students. Furthermore, these findings also open up opportunities for further research that could explore other factors influencing the relationship between shyness and social anxiety.

Healthcare organizations are increasingly required to preserve the sustainability of their institutional values by ensuring high-quality services, operational efficiency, and rigorous adherence to risk governance frameworks. RSUD dr. Chasbullah Abdulmadjid Bekasi City continues to face considerable challenges in this regard, particularly due to the limited internalization of core organizational values, disparities in the cultivation of an adaptive culture, and inconsistent employee compliance with established risk management procedures. These issues highlight the necessity for a leadership paradigm grounded in service, empathy, and empowerment.This study investigates the extent to which servant leadership influences the creation and protection of corporate values, while examining the mediating roles of strong adaptive culture and employee compliance doing the implementation of risk management. Employing a quantitative explanatory survey design, the research collected responses from 153 hospital employees, and data were analyzed through Structural Equation Modeling (SEM) to evaluate both direct and mediated causal pathways among variables.The findings reveal that servant leadership significantly strengthens creation and protection of corporate values, not only through direct influence but also by enhancing cultural adaptability and reinforcing compliant behavior in risk-related practices. Leaders who embody service-oriented principles are shown to cultivate work environments that foster mutual trust, organizational learning, and value-based decision-making.This study contributes meaningful empirical evidence to the discourse on leadership, organizational culture, and compliance within public hospital settings. Institutional strategies should prioritize continuous leadership development and comprehensive risk governance training to secure long-term performance excellence and reputational resilience.