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This study aims to determine the effect of charismatic leadership style and work discipline on employee performance at Surabaya Intercultural School. This study is a descriptive study using a quantitative approach. The sample in this study amounted to 37 people. The instruments used have passed the validity and reliability test stages. Data collection through observation, questionnaires and interviews. While data analysis was carried out using multiple regression analysis, coefficient of determination and hypothesis testing using the t test. The results of the study using a probability level or significance level of 0.05 showed that charismatic leadership style has a significant effect on employee performance as indicated by the calculated t value> t table (2.704> 2.032). Work discipline has a significant effect on employee performance as indicated by the calculated t value> t table (2.852> 2.032). From the results of this study, it can be said that the work discipline variable (X2) is the most dominant variable in influencing employee performance at Surabaya Intercultural School. This is suspected that employees at Surabaya Intercultural School have good work ethics. This is also supported by the success of leaders in providing good examples at work. The success of leaders in carrying out their managerial functions makes employees feel like they are part of the big family of Surabaya Intercultural School.

This study aims to analyze the influence of secondary reserves, which consist of placements in other banks, securities owned, and acceptance bills, on wadiah deposits at PT Bank Syariah Indonesia Tbk. using a quantitative approach with secondary data from the bank's monthly financial statements for the period 2022-2024. Researchers select relevant research subjects to obtain significant findings. The data were processed using descriptive statistical analysis and multiple linear regression with the help of the SPSS program to test the hypothesis. The results show that there is a significant influence of independent variables on dependent variables, which illustrates the importance of asset quality and fund management in increasing customer trust and, ultimately, the growth of deposits.

This study examines the effect of market risk, investor sentiment, and interest rates on the performance of energy sector stocks in Indonesia for the period 2019–2023, with market liquidity as a mediating variable. The study was conducted through a literature review by identifying and analyzing various related studies. Secondary data was obtained from scientific journals and related reports using relevant literature selection techniques. The results of the study indicate that oil price volatility, investor sentiment, and interest rate changes significantly affect the performance of energy sector stocks. Market liquidity was found to be able to reduce the negative impact of market risk and interest rates, and strengthen the positive influence of investor sentiment on stock prices. This study concludes that market liquidity plays an important buffer in maintaining the stability of stocks in the energy sector, especially in dealing with market fluctuations. The results of this study contribute to investment managers in developing more adaptive portfolio strategies and to regulators in creating policies that support market liquidity.

This study analyzes the role of Spiritual Leadership, self-efficacy, and locus of control on Organizational Citizenship Behavior using quantitative methods in multiple linear regression analysis, involving 50 respondents. The results of the study indicate that there is a significant role of the variables of Spiritual Leadership self-efficacy, and locus of control simultaneously on Organizational Citizenship Behavior. There is a significant influence of the Spiritual Leadership variable on the Organizational Citizenship Behavior variable at the East Java Provincial Transportation Agency. There is a significant influence of the self-efficacy variable on the Organizational Citizenship Behavior variable at the East Java Provincial Transportation Agency. There is a significant influence of the locus of control variable on the Organizational Citizenship Behavior variable at the East Java Provincial Transportation Agency. The simultaneous determination value (R square) of 0.892 means that the variation in changes in Organizational Citizenship Behavior is influenced by Spiritual Leadership self-efficacy, locus of control, by 89.2% while the remaining 10.8% is influenced by other variables not studied

Childbirth is a process of expelling the results of conception (fetus and placenta), which can live to the outside world, from the uterus through the birth canal or by other means. During labor, the uterus contracts and pushes the baby down to the cervix. This study aims to determine the Effect of Deep Back Massage on Reducing Pain in the First Stage of Active Labor at BPM Pera, Medan City in 2024. This type of research is Experimental research. A research design used to find a causal relationship with the involvement of research in manipulating the independent variables. The population is 20 mothers giving birth at BPM Pera, Medan City in 2025, namely 10 people in the Treatment Group and 10 people in the Control Group. The data analysis technique uses t-test analysis. The results obtained in this study are the results of the t-test, namely the results of the paired test-test showed p = 0.011 (p <0.05) and t count = 11,768> from t table = 9,200 which proves that there is an effect of giving deep back massage on the level of labor pain in mothers who are giving birth to reduce labor pain.

This research attempts to elaborate on the analysis and implementation of the Riau Provincial Government's policy on forests, using the case study of Governor Regulation Number 11 of 2014 concerning the Forest and Land Fire Control Center. The purpose of this research is to understand the content of the Riau Provincial Government's policy through Governor Regulation Number 11 of 2014 on the Forest and Land Fire Control Center and to analyze the Riau Governor Regulation of 2014 concerning the Forest and Land Fire Control Center. To analyze this study, the data used in this research are sourced from books, archives, documents, the internet, and interviews. The analytical method applied in this research is a qualitative descriptive method, which involves creating, describing, and summarizing various conditions with the variables emerging from the research object and revealing facts through data collection, which are then studied, processed, analyzed, and interpreted to be presented descriptively. The theories used in this research include public policy, environmental politics, and development politics theories.

This study evaluates the influence of the size and rotation of the Sharia Supervisory Board (SSB) on the Maqashid Sharia Performance (MSP) in Islamic banks in 12 member countries of the Organization of Islamic Cooperation (OIC) in Asia. Using data from 49 Islamic banks during the 2021-2023 period accessed through annual reports, the analysis was carried out using a Random Effect Model (REM). Independent variables include SSB size, which is measured by the number of members, and SSB rotation, which is assessed based on member turnover in a year. MSP is measured using the Maqashid Sharia Index with the Abu Zahrah approach involving the dimensions of education, community welfare, and public interest. The results showed that the size and rotation of SSB did not have a significant influence on MSP. These findings indicate weaknesses in Islamic banking governance in OIC member countries, including a suboptimal SSB recruitment system and a lack of effective supervision from high-level Islamic authorities. In addition, the contribution of independent variables to MSP performance is considered low, so it is concluded that other factors, such as SSB experience, sharia internal control system, and regulatory policies, can have a more significant influence.

This study evaluates the effectiveness of a hybrid citizen–AI legal monitoring system in enhancing urban environmental governance. The hybrid system integrates citizen-driven reporting platforms with AI-powered legal monitoring tools to address the challenges of weak public oversight in urban environmental management. By implementing the system in three metropolitan areas, the study explores how real-time data collection through citizen reports, combined with AI-driven analysis, can improve the accuracy, speed, and responsiveness of identifying environmental violations. The results showed a 45% improvement in oversight effectiveness, demonstrating the potential of hybrid systems to enhance monitoring capabilities beyond traditional methods. The AI system, capable of analyzing large datasets and providing timely insights, enabled quicker identification and categorization of violations such as pollution and waste management issues. The integration of citizen involvement through digital platforms allowed for more inclusive data collection, enhancing the quality and volume of information available for decision-making. This synergy between human participation and AI-driven analysis improved the speed of response to urban environmental challenges, making the system more adaptive and efficient. However, challenges such as data reliability and variable citizen participation rates were identified, suggesting the need for strategies to encourage consistent engagement and ensure the accuracy of reported data. The study concludes that hybrid citizen–AI systems can significantly improve urban governance by enhancing transparency, accountability, and responsiveness, offering a promising solution for cities seeking to address environmental issues more effectively.

This study attempts to examine the influence of three economic factors, namely capital, wage rate, and output value in the context of labor absorption in the industrial sector operating in Java. The study uses a quantitative approach method by utilizing secondary data sourced from BPS during the period 2018-2023, where panel data regression analysis with the Fixed Effect Model (FEM) approach is applied to test the relationship between variables. The results of the analysis indicate that the capital factor does not have a significant impact on the labor absorption process. Meanwhile, the wage level shows a correlation in the same direction as labor absorption, this influence is not proven to be significant when tested statistically. On the other hand, the output value shows a significant positive influence on labor absorption. These findings reveal how complex the interactions between economic factors are in the Java region, which have important implications for the development of employment policies and inclusive development strategies. A comprehensive approach is needed to support the sustainability of industrial growth and improve the quality of human resources in the future.

The purpose of this study was to determine how much students' attitudes toward financial management were influenced by their social surroundings, financial experience, and financial literacy. This kind of study uses a quantitative, explanatory methodology. The population is students of the Faculty of Economics and Social Sciences Sultan Fatah University Demak as many as 110 people. Because the entire population is used, the sampling method uses saturated samples. Information was gathered using an online survey and using multiple linear regression analysis techniques. Respondents' answers were measured using a Likert scale with SPSS version 25 tools. According to the study's findings, the dependent variable is significantly impacted by each independent component taken combined. Taken alone, financial management literacy is not influenced by the social environment, while financial management literacy is significantly influenced by financial experience and financial literacy.

Pakistan is a developing country. Its transportation infrastructure mainly consists of road network. About 95% passengers and fright is transported using the road network. This high demand on road network is because of the unreliable railway system between the cities. Due to such high demand on road network the accident involvement risk of an individual is much high as compared to developed countries. This study uses a new modeling approach to estimate road safety risk for WTP.  A correlated random parameters Tobit model (heterogeneity-in-mean) is integrated with machine learning (Decision tree).  The decision tree categorizes higher-order interactions, while the model captures unobserved correlations and heterogeneity. The framework examines WTP determinants using a representative sample of 3178 road users from Pakistan. The model estimates WTP for different (fatal and severe injury) risk reductions to monetize road traffic crash costs. Results show maximum respondents are willing to support safety improvement policies. The model reveals significant WTP heterogeneity linked to perceptions of road safety and accident risk. Systematic preference heterogeneity emerges through higher-order interactions, offering insights into WTP relationships. Marginal effects highlight varying sensitivities to explanatory variables, quantifying their impact on WTP probability and magnitude. The framework provides two key contributions. It identifies public WTP determinants, emphasizing heterogeneous effects. It also helps in prioritization safety policies by understanding public sensitivity to WTP. The insights further emphasizing on the importance of road safety interventions to the specific socio-economic profiles of road users. This study offers a significant contribution to road safety improvement by providing valuable recommendations for policy makers. By integrating detailed socio-economic factors, it also addresses the urgent need for targeted traffic safety interventions in Pakistan. These findings are expected to aid policymakers and stakeholders in developing effective strategies to enhance road safety and reduce the accident involvement risk effectively.

This study explores the model of work stress and its impact on productivity through a comprehensive systematic literature review approach. The objectives of the study are to analyze the complex dynamics of work stress, identify determinants, and explore effective intervention mechanisms to mitigate its negative impacts. The research methodology uses a qualitative approach with meta-synthesis techniques, conducting an in-depth analysis of ten leading scientific journals published between 2020-2024. The results of the study revealed that work stress is a multidimensional construct influenced by individual, organizational, and contextual factors, with key variables including workload, social support, organizational climate, and demographic characteristics. The findings indicate that work stress significantly affects psychological well-being and productivity, with different impacts based on gender, type of work, and organizational context. This study concludes the need for an integrative and proactive approach to work stress management, which does not only focus on individual interventions, but also transforms organizational structures and cultures.  

This study aims to determine the magnitude of the influence of Internal Control and Auditor Independence on Fraud Prevention at Public Accounting Firms in South Jakarta. This study uses a quantitative research method. The data source used is primary data. Data collection techniques in the form of questionnaires. The sample collection method in this study is non-probability sampling. There are 70 respondents consisting of 9 public accounting firms in South Jakarta. The results of the study show that the calculated t value is greater than the t table value of 3.778> 1.667, meaning that Ho is rejected and Ha is accepted. This means that the Internal Control variable (X1) significantly influences Fraud Prevention (Y). Based on the calculated t value greater than the t table value (4.126> 1.667), meaning that Ho is rejected and Ha is accepted. This means that the Auditor Independence variable (X2) significantly influences Fraud Prevention (Y). From the calculation results with SPSS 25.0, it was found that the coefficient of determination (Adjusted R Square) was 0.723. This indicates that the Internal Control Variable Auditor Independence Variable affects the Fraud Prevention Variable by 72.3% and the remaining 27.7% is explained by other factors (other variables) that were not examined in this study.

This research aims to determine the influence of Good Corporate Governance and Corporate Social Responsibility on company value with financial performance as an intervening variable in companies listed on the IDX ESG Leaders Index for 2021-2023. This research uses a quantitative approach. The sample in this study was 46 companies listed on the IDX ESG Leaders Index for 2021-2023. The research results show that Good Corporate Governance and Corporate Social Responsibility have no effect on company value. Financial performance as an intervening variable is only able to mediate the influence of the Board of Directors, Independent Commissioners, and Corporate Social Responsibility on company value. However, financial performance is unable to mediate the influence of the Audit Committee on company value.

This research was conducted to determine the effect of transformational leadership and the physical work environment on the performance of PNPN employees with motivation as an intervening variable in land offices throughout West Priangan (Cianjur Regency, Sukabumi Regency and Sukabumi City). It is hoped that this research can provide input for institutions in improving the quality and quantity of Transformational Leadership, Physical Work Environment and Motivation, in order to improve employee performance. In this research, sampling was used using Simple Random Sampling by distributing questionnaires to 113 ASN employees at the West Priangan Land Office in 2024. Data from the questionnaire were analyzed using SPSS Version 27 and Lisrel 8.80 software. The results of this research state that Transformational Leadership influences Employee Performance, the Physical Work Environment influences Employee Performance, Motivation influences Employee Performance, Motivation is able to mediate the influence of Transformational Leadership on Employee Performance, as well as the Physical Work Environment, Motivation can still mediate its influence on Employee Performance.

The purpose of this study is to explain the effect of work environment, organizational culture, and work motivation on employee job satisfaction of CV Nadhian Karya Kendal Regency. To determine the indirect effect of work environment, organizational culture, and work motivation on employee job satisfaction through the work environment. This research is a type of explanatory research, and this research approach is based on a quantitative research approach. CV Nadhia Karya Kendal Regency has a population of 120 employees, a sample of 100 and uses probability sampling techniques with random sampling techniques. Data collection was carried out using a questionnaire. The results of this study indicate that: (1) Work Environment variables have a significant influence on Job Satisfaction. This is evident in the t test results showing the t count value is greater than the t table, namely 2.025 > 1.985 and the significance value (Sig.) 0.046 < 0.05. (2) Organizational Culture variables have a significant influence on Job Satisfaction. This is evident in the t test results showing the tcount is greater than the ttable, namely 4.673> 1.985 and the significance value (Sig.) 0.000 <0.05. (3) Work Motivation variable has a significant influence on Job Satisfaction. This is evident in the t test results showing the tcount is greater than the ttable, namely 4.193> 1.985 and the significance value (Sig.) 0.000 <0.05. (4) Work Environment, Organizational Culture and Work Motivation variables on Job Satisfaction have a joint effect because they have a significant value (Sig) 0.000 <0.05.

Profit emerges as a pivotal informational cornerstone captivating investor attention, adeptly revealing the intricate dynamics of a company's stock valuation. Through PBV, researchers can discern stock valuation via a rational and concise approach. The research aims to explore the correlation between profitability and stock price within telecommunication enterprises registered at BEI during the 2020-2022 period. Employing purposive sampling, the study selected 16 companies as analytical units. The research methodology implements a descriptive-verifiable approach, leveraging secondary data sourced from BEI. Statistical analysis proceeded through linear regression to uncover inter-variable relational patterns. Research findings demonstrate that profitability contributes significantly to stock price fluctuations, with a 20.6% influence at a moderate correlation level.

This study aims to analyze the influence of macroeconomic factors consisting of inflation, rupiah exchange rate, and interest rates on stock returns of manufacturing companies listed on the Indonesia Stock Exchange during the period 2021-2023. The research method uses a quantitative approach with multiple linear regression analysis. The research sample consists of manufacturing companies listed on IDX during the research period, selected using purposive sampling method. The results show that among the three macroeconomic factors studied, only the rupiah exchange rate has a significant influence on the stock returns of manufacturing companies. This is due to the characteristics of the manufacturing industry which has a high dependence on imported raw materials, so that exchange rate fluctuations directly affect the company's financial performance and stock returns. Meanwhile, inflation and interest rates did not show a significant effect on stock returns of manufacturing companies during the study period.

This study aims to analyze the influence of self-concept and self-regulation on academic stress in students of Universitas Islam 45 Bekasi. A quantitative approach with a correlational design was used to test the relationship between these variables. Data were collected through a Likert-based questionnaire on 137 active students aged 18–23 years. The results of the analysis showed that self-concept had a significant negative relationship with academic stress, while self-regulation did not show a significant effect. These findings indicate the importance of self-concept in managing students' academic stress. Although self-regulation was not statistically significant, there was still a relevant negative relationship. The implication of this study is the need for self-concept development programs to support student well-being, while improving self-regulation can be considered in other contexts. This study provides new insights into managing academic stress and supports more effective interventions in higher education settings.

This research aims to examine the effect of synergy between the application of digital technology and entrepreneurial orientation on the performance of coffee shop MSMEs in Bojonegoro. The results of the analysis show that the combination of these two variables significantly improves business performance, exceeding the individual impact of each variable. These findings underline the importance of a holistic approach in developing MSMEs in the digital era, which combines technological innovation with. entrepreneurial spirit. The use of technology such as online ordering applications, inventory systems and data analysis allows MSME coffee shops to operate more efficiently, saving time and costs, as well as reducing errors. This research provides important implications for the government and relevant stakeholders to design policies that support the adoption of digital technology by MSMEs such as technology service providers, business consultants and the entrepreneurial community can accelerate the digital transformation process. as well as a more targeted entrepreneurial capacity development program.This research aims to examine the effect of synergy between the application of digital technology and entrepreneurial orientation on the performance of coffee shop MSMEs in Bojonegoro. The results of the analysis show that the combination of these two variables significantly improves business performance, exceeding the individual impact of each variable. These findings underline the importance of a holistic approach in developing MSMEs in the digital era, which combines technological innovation with. entrepreneurial spirit. The use of technology such as online ordering applications, inventory systems and data analysis allows MSME coffee shops to operate more efficiently, saving time and costs, as well as reducing errors. This research provides important implications for the government and relevant stakeholders to design policies that support the adoption of digital technology by MSMEs such as technology service providers, business consultants and the entrepreneurial community can accelerate the digital transformation process. as well as a more targeted entrepreneurial capacity development program.