Publication Search

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 dynamics of peer pressure as a factor that forms problematic behavior in adolescents. This study uses a literature review method with more than 19 relevant journals. The selected journals followed inclusion criteria that focused on adolescents, peer pressure, and problematic behaviors within a specific time frame. The results of the study showed that peer pressure contributes to problematic behaviors such as aggressive behavior and social violence (bullying, cyberbullying, aggressiveness, disruptive behavior), addictive and health-risking behaviors (smoking, alcohol consumption/drinking behavior), violations of academic/school norms (truancy, juvenile delinquency), online/sexual risky behavior (cybersex), and internal psychological problems (decreased self-confidence). The psychosocial dynamics found included the need for acceptance, group conformity, low self-control, and weak family support. These influences can be direct or indirect through the internalization of group values. These findings confirm that problematic behaviors are not formed singularly, but from complex interactions between individual factors and the social environment. Therefore, prevention efforts require a collaborative approach between families, schools, and the community.

In the midst of increasingly intense competition in the digital era, organizations are required to possess human resources capable of adapting and enduring various work-related challenges. Therefore, work resilience is considered an important competency that employees must have. This study aims to examine the influence of self- esteem, self-efficacy, and adversity quotient on work resilience among supervisor members of Independent Herbalife Nutrition Indonesia in South Jakarta. This research employs a descriptive quantitative approach. Data were collected through the distribution of Likert-scale questionnaires to 103 respondents using a saturated sampling technique. The data obtained were analyzed using multiple linear regression analysis with the assistance of Microsoft Excel 2019 and IBM SPSS version 22. The results of the study indicate that self-efficacy has a positive and significant effect on work resilience. Meanwhile, self-esteem and adversity quotient do not have a significant partial effect on work resilience. However, simultaneously, self-esteem, self-efficacy, and adversity quotient have a significant effect on work resilience.

Bullying is a form of aggressive behavior that is intentionally and repeatedly carried out, characterized by an imbalance of power between the perpetrator and the victim. This phenomenon is not limited to childhood and adolescence but may also produce long term effects that extend into adulthood, including among university students. This study aims to explore the long term impact of bullying on victims’ mental health, with a particular focus on students who have experienced bullying in the past. The study employed a descriptive qualitative method using a literature review approach. Data were obtained through a comprehensive analysis of scientific articles, national and international journals, and previous studies related to bullying and mental health. The findings show that victims of bullying face a higher risk of psychological problems, such as depression, anxiety, post traumatic stress disorder or PTSD, low self esteem, and difficulties in social interactions. These effects influence not only emotional well-being but also academic functioning, including reduced concentration, decreased learning motivation, and lower academic performance. In addition, prolonged psychological stress resulting from bullying may lead to physical problems, such as sleep disturbances and somatic complaints. Factors including limited social support, maladaptive coping strategies, and high intensity or prolonged exposure to bullying were found to intensify the negative impacts experienced by victims. Therefore, this study emphasizes the importance of comprehensive prevention and intervention efforts in higher education settings, such as the provision of accessible counseling services, the implementation of strict anti bullying policies, and the strengthening of social support systems to minimize the long-term mental health effects of bullying among university students.  

Learning motivation is one of the important factors that determine whether a student can succeed in college, especially for students of the Islamic Religious Education Study Program who must balance academic learning and religious values. This study aims to understand the learning motivation of third-semester students of the Islamic Religious Education Study Program at STAI Al-Gazali Soppeng, as well as the factors that influence this motivation. This study used a qualitative approach with descriptive methods. Data were collected through observation, in-depth interviews, and documentation of students selected purposively. Data analysis was carried out in three stages: data reduction, data presentation, and conclusion drawing. The results show that student learning motivation is influenced by internal factors such as learning interests, ideals, and religious awareness, as well as external factors such as the teaching methods of lecturers, the learning environment, and support from surrounding communities. These findings indicate that student learning motivation is in the fairly good category, but still needs to be improved. This study emphasizes the importance of innovation in teaching methods and guidance that combine academic and spiritual to continuously strengthen student learning motivation.

Investors consider firm value as an indicator of a company’s success and its future prospects. Several financial variables, such as firm size and capital structure, are believed to influence firm value in the banking industry. Financial institutions with large total assets are often perceived as more stable and less vulnerable to risk, thereby increasing investor confidence. In addition, capital structure, commonly measured by the Debt to Equity Ratio (DER), plays an important role in evaluating a company’s financial performance and its impact on firm value. This study aims to examine the effect of firm size and capital structure on firm value in banking companies listed on the Indonesia Stock Exchange (IDX) during the period 2020–2024. The research employs a quantitative approach using multiple linear regression analysis. Secondary data were obtained from financial statements and stock price information published on the official IDX website. The sample consists of 12 BUKU 2 banking companies selected through purposive sampling, with an observation period of five years. Firm size is measured using the natural logarithm of total assets (Ln Total Assets), capital structure is proxied by the Debt to Equity Ratio (DER), and firm value is measured using Price to Book Value (PBV). The results indicate that, simultaneously, firm size and capital structure have a significant effect on firm value.

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.

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.

Patient satisfaction influences their desire to return to the same place, and if they are not satisfied, they will look for another place of health, prolonged helminths will result in patients experiencing psychological disorders and will result in the decline of patients caused by the threat of death, overall economic problems and medical problems. Cognitive factors can influence the health and well-being of patients with kidney failure because patients with kidney failure can feel psychologically tired because they have to undergo hemodialysis. The aim of this research is to determine the description of patient satisfaction undergoing hemodialysis at Santa Elisabeth Hospital. The design method for clinical treatment is delscrilptilf which will analyze or observe a picture of the population of patients who underwent hemodilalization at Rulmah Hospital Santa Ellilsabelth with a sample size of 50 respondents. The total sampling technique was taken. Research Results The results of this research were to determine the description of patient satisfaction undergoing hemodialysis at Santa Elisabeth Hospital in Medan with a total of 50 respondents. Where the research uses tables and provides an explanation of the frequency distribution of characteristics based on age, gender, religion, occupation, marital status, education. And this research was obtained from primary data obtained from the respondents themselves. After the data is obtained, it is processed and the results will be analyzed using univariate analysis.

Exclusive breastfeeding (EBF) is essential for infant growth and immunity during the first six months of life. Despite its benefits, many primiparous mothers face challenges in maintaining EBF due to lack of experience, stress, and insufficient support. Husband support has been identified as a crucial social factor that can influence a mother’s confidence and success in breastfeeding. This study aimed to examine the relationship between husband support and the success of exclusive breastfeeding among primiparous mothers in the Kalibaru Public Health Center area. A cross-sectional correlational design was employed, with 90 primiparous mothers selected through purposive sampling. Data were collected using structured questionnaires measuring husband support, including emotional, informational, and instrumental dimensions, and exclusive breastfeeding practice, following the World Health Organization (WHO) definition. Descriptive statistics summarized participants’ demographic characteristics and levels of support, while inferential analysis using the Chi-square test and Pearson correlation determined the association between husband support and EBF success. The results indicated that higher levels of husband support were significantly associated with successful exclusive breastfeeding among primiparous mothers (p < 0.05). Among the types of support, emotional and informational support were particularly influential in enhancing maternal confidence and overcoming breastfeeding challenges. These findings suggest that encouraging husband involvement through prenatal education, counseling, and family-based interventions can improve EBF rates. In conclusion, husband support plays a vital role in the successful practice of exclusive breastfeeding among first-time mothers. Health programs should actively involve fathers to provide emotional, informational, and practical support, thereby promoting optimal breastfeeding outcomes and infant health in the community.

Abstract. Locally Generated Revenue (PAD) is an important indicator in assessing a region's fiscal independence. One source of PAD with potential for development is Groundwater Tax (PAT), particularly in areas with significant groundwater utilization. This study aims to evaluate the contribution of Groundwater Tax to Locally Generated Revenue (PAD) in Sikka Regency during the 2020–2024 period. The research method used is descriptive with quantitative and qualitative approaches. The data used are secondary data obtained from the Sikka Regency Regional Revenue Agency, including data on realized Groundwater Tax and PAD revenues, as well as primary data obtained through observations and interviews during the internship. Data analysis techniques were used to calculate the contribution of Groundwater Tax to.Total PAD and analyze its revenue development from year to year. The results show that the contribution of Groundwater Tax to Sikka Regency's PAD is still relatively small and fluctuates, although overall PAD realization is quite effective. This low contribution is influenced by several factors, including suboptimal taxpayer compliance, limited human resources, and the suboptimal implementation of the regional tax digitalization system. Therefore, strategic efforts are needed in the form of increasing supervision, taxpayer data collection, tax socialization, and optimization of the tax administration system to increase the contribution of Groundwater Tax to Sikka Regency's PAD in the future

This study was conducted at Alok Market, Sikka Regency. The objectives of this study werw to identify the sources and utilization of traders’ business capital and to determine the influence of business capital on the income of market traders. The type of research employed was quantitative research. The population of this study consisted of traders at Alok Market, Sikka Regency. The research sample was selected using purposive sampling, with a total of 30 respondents. Data collection techniques used in this study included structured interviews (numerically based) and direct observation. The data analysis techniques applied were descriptive quantitative analysis and simple linear regression analysis. The results of the study indicated that 50-70% of business capital was obtained from traders’ own capital, while 30-45% originated from loan capital. In terms of capital utilization, 89% of the capital was used for asset investment and 80% for operational cost requirements. The findings of this study also confirmed that business capital had a significant influence on the income of traditional market traders.

The rapid development of social media, particularly TikTok, has transformed digital marketing strategies by emphasizing influencer endorsement and content marketing to reach Generation Z consumers. This generation is characterized by high social media usage and strong responsiveness to visual content and influencer recommendations. This study aims to analyze the effect of influencer endorsement and content marketing on the purchase intention of Generation Z TikTok users toward Antarestar products in Makassar City, both partially and simultaneously. This study employed a quantitative approach with an associative research method. The population consisted of Antarestar consumers residing in Makassar City, and the sample was determined using purposive sampling. A total of 140 respondents who met the research criteria were involved in this study. Data were collected through a questionnaire using a five-point Likert scale and analyzed using multiple linear regression analysis with the assistance of IBM SPSS Statistics software. The results of this study indicate that (1) influencer endorsement has a positive and significant effect on the purchase intention of Generation Z TikTok users toward Antarestar products, (2) content marketing has a positive and significant effect on purchase intention, and (3) influencer endorsement and content marketing simultaneously have a positive and significant effect on the purchase intention of Generation Z TikTok users toward Antarestar products in Makassar City. The findings conclude that the effectiveness of Antarestar’s digital marketing on TikTok is strongly influenced by credible and attractive influencers as well as relevant, informative, and consistent marketing content. Therefore, optimizing influencer endorsement and content marketing strategies is essential to enhance purchase intention among Generation Z consumers.

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

This study focuses on micro, small, and medium enterprises (MSMEs) in Central Jakarta, which play an important role in the national economy, particularly through their contribution to state revenue from the taxation sector. The purpose of this study is to examine how taxpayers’ knowledge and compliance with tax regulations influence tax revenue generated from the MSME sector. The distribution of questionnaires to MSME taxpayers was used as the main instrument to collect research data through a quantitative approach. A total of 164 respondents were selected using a purposive sampling method by considering specific criteria relevant to the research objectives. To evaluate and analyze the collected data, this study employed SmartPLS software using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method. The results indicate that tax revenue from MSMEs is positively and significantly influenced by taxpayer compliance in fulfilling their tax obligations. Furthermore, there is a positive and statistically significant relationship between the level of tax knowledge and the increase in tax revenue. These findings highlight the importance of improving taxpayers’ understanding and compliance as an effort to enhance tax revenue from the MSME sector. This study is expected to provide practical contributions to the Directorate General of Taxes in formulating more effective policies to improve compliance and optimize tax revenue from MSME taxpayers.

This study aims to analyze the influence of participatory leadership, supportive organizational culture, and work-life balance on employee job satisfaction. The research method employs a quantitative approach, using SEM-PLS analysis of data collected from PKWT employees at PT Graha Satu Tiga Tujuh. The results show that participatory leadership and supportive organizational culture have a positive and significant effect on job satisfaction, while work-life balance has no proven effect. Furthermore, work-life balance does not mediate the relationship between leadership and organizational culture with job satisfaction. These findings confirm that internal organizational factors, particularly leadership quality and work culture, have a greater impact on employee satisfaction than work-life balance. This study provides practical contributions to human resource management by offering strategies to enhance job satisfaction by strengthening leadership and organizational culture.

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

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 research aims to determine the influence of e-commerce and accounting information systems (AIS) on entrepreneurial decision making among accounting students at the economics and business faculty, Nusa Nipa University, Maumere. The type of research used is quantitative research. This research data method uses primary data which means the respondents' answers to the questionnaire statements distributed and then measured using a Likert scale. The total sample was 38 accounting student respondents. The data collection technique is by distributing questionnaires using Google Forms which have been tested for validity and reliability, multiple linear regression analysis tests, hypothesis testing via the t test and f test, as well as the coefficient of determination (R2). In processing the data using SPSS version 23. Based on the research results, E-Commerce has a positive and significant effect on Decision Making for Entrepreneurship, the Accounting Information System has a positive and significant effect on Decision Making for Entrepreneurship, E-Commerce and the Accounting Information System together have a positive effect on Decision Making for Entrepreneurship.

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