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This study aims to analyse the influence of flash sales and free shipping on consumer purchasing decisions for Shopee products. The research was conducted from October to December with a quantitative approach, involving 100 respondents as a sample. Data analysis includes data quality tests, classical assumption tests, hypothesis tests, multiple regression analysis, and determination coefficient tests with IBM SPSS 25 software. The results of the partial test showed that flash sale (X1) had no significant effect on consumer purchase decisions (Y) with a T value of -0.996 < 1.661 and a significance of 0.322 > 0.05. On the contrary, free shipping (X2) had a significant effect on consumer purchase decisions (Y) with a T value of 5.982 > 1.661 and a significance of 0.000 < 0.05. The F test shows that simultaneously flash sale (X1) and free shipping (X2) have a significant influence on consumer purchase decisions (Y) with an F value of 17.947 > F table 3.090 and a significance of 0.000 < 0.05. These results indicate that the two variables together have a positive influence on consumer purchase decisions on Shopee products.  

This study aims to analyze the impact of service quality and promotion on customer satisfaction at Alfamart in Depok City. The research uses a quantitative approach with data collected through questionnaires filled out by 100 respondents. Data analysis techniques include data quality tests, classical assumption tests, multiple linear regression analysis, hypothesis testing, and coefficient of determination tests using IBM SPSS version 25. The results of the T-test indicate that service quality (X1) has a significant impact on customer satisfaction (Y), with a t-value of 2.851 > 1.661 and a significance value of 0.005 < 0.05. Meanwhile, promotion (X2) does not show a significant effect on customer satisfaction (Y), with a t-value of 6.938 > 1.661 and a significance value of 0.000 < 0.05. The F-test shows that, simultaneously, service quality and promotion have a significant effect on customer satisfaction (Y), with an F-value of 84.772 > F-table 3.090 and a significance value of 0.000 < 0.05. Based on the coefficient of determination test, it is found that 63.6% of customer satisfaction is influenced by service quality and promotion, while the remaining percentage is influenced by other factors.  

This meta-analysis evaluates the effectiveness of community-based interventions in addressing complex trauma among children in Gaza through a systematic analysis of 42 studies (N=4,873) published between 2010 and 2024. The findings reveal a significant treatment effect (g=0.78, 95% CI [0.65, 0.91], p<.001) with moderate heterogeneity (I²=68%). School-based interventions demonstrate the greatest effect (g=0.89), followed by family interventions (g=0.76) and peer-group interventions (g=0.65). Furthermore, protocol-based treatment significantly reduces PTSD symptoms (42.3%), anxiety (38.7%), and depression (35.2%) among children in Gaza. Moderator analysis identifies intervention duration (β=0.34, p<.01) and family involvement (β=0.29, p<.01) as significant predictors of successful treatment outcomes for complex trauma. Lastly, meta-regression results indicate a linear relationship between intervention intensity and symptom improvement (R²=0.45, p<.001). These findings expand on previous research by Thompson et al. (2021) and Al-Krenawi (2022) by identifying specific effective intervention components within the Gaza context. Additionally, the discovery that a phased approach integrating community support with protocol-based treatment yields optimal outcomes presents a novel contribution not previously addressed in meta-analyses.

This study aims to examine the Influence of Leadership Style, Work Environment, and Rewards on Employee Performance at Lulu Hypermarket Department Store BSD Tangerang Branch. The method used is multiple linear regression analysis method using SPSS software version 22. And the technique used is Non Probability Sampling with saturated sampling type. The results of this study indicate the regression value is Y = 34.997 + 0.401 X1 -0.409 X2 +0.082 X3 + ε That Leadership Style (X1) has a significant effect on Employee Performance, This shows the importance of the role of a leader/manager in improving employee performance to achieve organizational goals. Work Environment (X2) has a negative and significant effect on Employee Performance, This shows that an unsupportive Work Environment can reduce Employee Performance. While Rewards (X3) have no effect and are not significant on Employee Performance (Y), Recognition or giving gifts is still very important to improve Employee Performance. The contribution of the three independent variables R2 is 33.3% to Employee Performance (Y) and the remaining 66.7% is influenced by other factors.

This study analyzes the intergenerational transmission of war trauma across three generations of Palestinian families through a systematic meta-analysis of 47 longitudinal studies (1948–2024), comprising 12,873 participants. The findings confirm a PTSD prevalence rate of 73.4% in the first generation (n=4,291), 61.2% in the second generation (n=4,582), and 48.7% in the third generation (n=4,000). Furthermore, hierarchical regression analysis reveals a significant correlation between the severity of first-generation trauma and its manifestation in subsequent generations (r=0.68, p<0.001). The most dominant intergenerational trauma symptoms include anxiety (89.3%), depression (82.1%), and attachment disorders (76.5%). Structural equation modelling identifies three primary mediators of trauma transmission: parenting patterns (?=0.59), family trauma narratives (?=0.47), and epigenetic factors (?=0.41). Consequently, this study extends the findings of Danieli et al. (2016) on intergenerational trauma mechanisms and contributes to Kellermann's (2013) theoretical model on protective factors in trauma resilience. Unlike previous research by Hassan (2019), which focused on two generations, these findings reveal an adaptive pattern in the third generation through the development of collective resilience (82.3%) and positive coping strategies (77.8%), offering a novel perspective on the potential for intergenerational trauma healing in the context of prolonged conflict.

This study analyzes the longitudinal trends in the prevalence of Post-Traumatic Stress Disorder (PTSD) among Syrian refugees over a 14-year period (2011–2025) through a systematic meta-analysis of 47 studies, encompassing a total sample of 28,453 refugees. Using a random-effects model, the analysis confirms fluctuating PTSD prevalence, peaking at 83.4% in 2013 (95% CI: 78.2–88.6%) before gradually declining to 42.7% in 2025 (95% CI: 37.3–48.1%). Furthermore, multilevel regression analysis identifies significant predictors, including displacement duration (β = -0.34, p < .001), access to mental health services (β = -0.28, p < .001), and social integration (β = -0.31, p < .001). These findings extend the work of Hassan et al. (2019) on the short-term impact of war trauma and support the resilience model proposed by Mahmoud et al. (2021), highlighting a more complex recovery trajectory. Unlike the previous meta-analysis by Silove et al. (2017), which focused on the first five years of displacement, this study reveals that 37.8% of refugees continue to exhibit chronic PTSD symptoms after 14 years. Notably, key risk factors such as family loss (OR = 2.84, 95% CI: 2.31–3.37) and legal status uncertainty (OR = 2.16, 95% CI: 1.78–2.54) emerge as novel contributions. These findings provide new insights into the long-term trajectory of PTSD among refugee populations and its implications for sustainable mental health interventions.

This research aims to examine the influence of institutional ownership and profitability variables on company value. The population in this study are Fast Moving Consumer Goods companies listed on the Indonesia Stock Exchange in 2019-2021. The sampling technique for this research uses the Purposive Sampling Technique where the sample is selected using certain criteria so that in this research 15 companies were obtained over 3 years so that a total of 45 research data were obtained. The data analysis technique used in this research uses statistical analysis which includes multiple correlation, multiple regression, determination tests and hypothesis tests. The results of this research institutional ownership variable obtained a significance value of 0.546>0.05. So it can be concluded that institutional ownership has no effect on company value. Return On Assets variable obtained a significant value of 0.112>0.05. So it can be concluded that Return On Assets has no effect on company value.

This research was conducted with the aim of finding out and analyzing 1). To find out and analyze the influence of the school environment on the professionalism of teachers in PAUD in Mesuji District 2). To find out and analyze the influence of Teacher Behavior on teacher professionalism in PAUD in Mesuji District 3). To find out and analyze the influence of the school environment and teacher behavior on teacher professionalism in PAUD in Mesuji District. This study uses a quantitative method with a type of correlational research. The sample of this study was carried out in 13 PAUD in Mesuji District with a total of 44 teachers. Data collection techniques use questionnaires and documentation. The data were analyzed using correlation analysis and multiple regression techniques. The results of this study show that there is an influence of the school environment and teacher behavior together on the professionalism of PAUD teachers in Mesuji District.

The stability of the banking sector is crucial in maintaining a country’s financial system and economic sustainability. This study analyzes the impact of Net Interest Margin (NIM), Non-Performing Loans (NPL), and Capital Adequacy Ratio (CAR) on banking stability in Indonesia. The inconsistency of previous research findings indicates a research gap that requires further exploration. This study employs a quantitative approach using secondary data from financial reports of conventional banks listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023. The sample was selected using purposive sampling, resulting in 39 banks with 195 observations. Data analysis was conducted using multiple linear regression with classical assumption tests, including normality, heteroscedasticity, multicollinearity, and autocorrelation, to ensure model validity. The results show that NIM positively but not significantly affects banking stability, while NPL has a negative and significant effect. CAR also significantly influences banking stability. Enhancing banking intermediation effectiveness through NIM and CAR can strengthen financial stability, whereas increasing credit risk, reflected in NPL, can weaken stability. This study provides insights for regulators and banking management in designing more effective policies to maintain banking sector stability in Indonesia.

This study aims to examine the influence of organizational culture, work environment, and leadership style on loyalty in Volunteers Teaching of the Jakarta Window Community. Sampling in this study used the slovin formula for 86 respondents. Data was collected through a questionnaire with a Likert scale processed using Microsoft Excel 2013 and SPSS version 22. The research method used is multiple linear regression. The results of this study show that Organizational Culture has a significant effect on Loyalty, while Work Environment and Leadership Style have no effect and are not significant to Loyalty.

In the current era, public interest in using public transportation in Indonesia has decreased significantly, people prefer to use private transportation. Therefore, further research is needed on the factors that influence public interest in using public transportation services in Indonesia. This study will examine the variables of Aggressive Driving, Brand Image, Equality, and Price Perception in their influence on interest in using public transportation services, a case study on the PO. Damri Bus route Ponorogo - Tulungagung. The purpose of this study is to examine how much influence there is between the variables Aggressive Driving, Brand Image, Equality, and price perception, on public interest in using public transportation. The sample in this study was 100 respondents who were passengers of the PO. Damri bus route Ponorogo-Tulungagung. The data analysis technique in this study used multiple linear regression analysis with SPSS 26.0 statistical tools. Based on the results of the study and data analysis, the regression equation was obtained as follows: Y = -1.631 - 0.273X1 + 0.266X2 + 0.243X3 + 0.339X4 + μ The results of multiple regression analysis show that aggressive driving has a negative effect on public interest, while the variables brand image, equality, and price perception have a positive effect on public interest. Of the 4 hypotheses proposed in this study, Hypothesis 1 is rejected (t-count <t-table), the other hypotheses H2, H3, H4 are accepted as indicated by the t-count value> t-table. Adjusted R Square value = 0.613, this shows that the four variables above influence public interest by 61.3%, while the rest (100% - 61.3% = 38.7%), this proves that public interest in using public transportation is influenced by other variables outside the study or outside the regression equation model by 38.7%.

The aim of this research is to find out what factors influence farmers to convert cocoa plantation land into oil palm plantations in Tinondo District, East Kolaka Regency. The sample used was 32 farmers. The data analysis used is multiple linear regression analysis. The research results can be concluded that the factors that cause the conversion of cocoa land to oil palm are the area of ​​cocoa land, farming experience, environmental factors and regulatory factors. Partially using the t test, cocoa land area with a significant value of 0.000, farming experience with a significant value of 0.000, environmental factors with a significant value of 0.025 and regulatory factors with a significant value of 0.000 in the positive direction and the calculated t value is greater than the t table shows that these variables has a significant influence and is the cause of farmers converting cocoa land into oil palm.

Wings Air is a low-cost airline in Indonesia and is a subsidiary of the company PT. Lion Grub. The purpose of this research is to determine the influence of service quality and brand image variables on passenger satisfaction with Wings Air at Sultan Muhammad Kaharuddin Airport, Sumbawa, both partially and simultaneously. The method used is a quantitative method with non-probability sampling and purposive sampling techniques distributed through a questionnaire of 100 respondents. This research instrument uses a Likert scale with 22 statements according to the indicators of each variable. This research uses SPSS for descriptive analysis and testing classical assumptions and hypothesis testing, namely multiple linear regression analysis tests. The service quality variable gets a t-count > t-table result of 2,809 > 1.984 with a significance value of 0.006 < 0.05 and the brand image variable gets a t-count > t-table value of 2,313 > 1,984 with a significance value of 0.023 < 0.05. The results of this research indicate that the variables of service quality and brand image have a partial effect on passenger satisfaction. The variables of service quality and brand image simultaneously influence passenger satisfaction with an f-count > f-table value of 10,975 > 3.09 and a significance of 0.000 < 0.05 with an influence size of 16.8%.

The purpose of this study was to see how social media endorsements, viral advertising, and perceived quality can build Shopee consumers' decisions in Purworejo Regency to buy fashion products in e-commerce. We conducted data analysis using regression, t-test, and F-test on a sample of 107 respondents. The results showed that social media endorser and viral marketing variables had a positive and significant effect on purchase decisions, while perceived quality did not show a significant positive impact. These findings highlight the importance of marketing strategies that incorporate social media endorsers and viral marketing in influencing consumer purchase decisions. This research provides valuable insights for marketers in designing effective campaigns for fashion products on e-commerce platforms.

This research aims to examine the influence of capital intensity, company size, and sales growth on tax aggressiveness. This research uses a quantitative approach and uses associative methods. The type of data used in this research is secondary data. The data analysis method used in this research is Panel Data Regression Analysis using the Eviews version 13 application and Microsoft Excel. The population used in this research is Energy Companies Listed on the Indonesia Stock Exchange (BEI) for the 2018-2023 period. The data collection technique in this research is a purposive sampling technique with a population of 87 companies becoming the final 10 company samples or 60 observation data processed in this research. The research results show that simultaneously capital intensity, company size and sales growth influence tax aggressiveness. Partially, capital intensity and sales growth have no effect on tax aggressiveness. Meanwhile, company size influences tax aggressiveness.

This research aims to analyze the influence of the availability of infrastructure and teacher competence on the sustainability of the implementation of the learning process at State Vocational Schools in Palembang City. The availability of adequate infrastructure and high teacher competency is believed to have an important role in improving the quality of learning and the effectiveness of the teaching and learning process in schools. The method used in this research is a quantitative approach with survey techniques, involving a sample of teachers and school principals from several state vocational schools in Palembang City. Data was collected through a questionnaire which was processed using regression analysis to test the relationship between the two independent variables and the continuity of learning. The research results show that both the availability of infrastructure and teacher competence have a significant effect on the smoothness and success of the learning process at State Vocational Schools in Palembang City. Thus, efforts to improve infrastructure and increase teacher competency are important factors in improving the quality of education at the vocational school level.

The behind of this study motivated from the importance of company value in sustaining the company’s operation and enhancing its competitiveness. The purpose of this research was to identify and analyze the partially impact of corporate social responsibility (CSR), accounting conservatism, audit committee, capital structure, and dividend policy on firm value, as measured by Tobin’s Q, in manufacturing companies within the consumer goods industry sector listed on the Indonesia Stock Exchange from 2021 to 2023. The technique of data sampling using purposive sampling method. Resulting in data from 20 companies, comprising 60 financial statements and annual reports that met the representative criteria. The research employed descriptive statistical analysis, panel data regression analysis, estimation technique selection for panel data regression, classical assumption tests, and hypothesis testing. The findings revealed that the CSR variable did not have a significant positive effect on firm value, the accounting conservatism variable had a significant positive effect, the audit committee variable exhibited a significant negative effect, the capital structure variable demonstrated a significant positive effect, while the dividend policy variable did not have a significant positive effect on firm value.

This study examines profitability determinants of Indonesian manufacturing firms, emphasizing sustainable practices. Using a systematic literature review and regression analysis of secondary data from publicly-traded firms, the research analyzes the impact of financial factors (working capital, size, growth) and environmental considerations (green supply chain, sustainable finance) on profitability. Findings provide recommendations for firms, policymakers, and stakeholders to enhance profitability and environmental sustainability amidst climate change challenges.

This study aims to determine the Influence of Asset Structure, Current Ratio, Firm Size and Sales Growth Relative to the Company's Capital Structure. The research population is a household appliance sub-sector manufacturing company listed on the Indonesia Stock Exchange. Sample selection using Purposive Sampling. The research period is 2019-2023. The data analysis technique used is multiple linear regression processed with IBM programs Statistical Package for Social Science (SPSS) Version 26. The results of the study show that the Asset Structure and Current Ratio have a negative and significant effect on the Capital Structure. Company Size and Sales Growth have no effect on the Capital Structure.

This study explores the application of machine learning algorithms, specifically Linear Regression and Decision Tree Regressor, for predicting student academic performance using academic grade data from Kaggle. The analyzed factors include attendance, assignment grades, midterm exam grades, and final exam grades. The research methodology encompasses data collection, preprocessing, model development, training, and validation. This study contributes to the field of educational data analytics by demonstrating how machine learning can provide actionable insights into students' learning patterns and academic outcomes. The findings emphasize the effectiveness of Linear Regression for linearly distributed data and Decision Tree Regressor for capturing complex, non-linear relationships. The implications of this research suggest that machine learning models can assist educators in identifying key factors influencing student performance, enabling targeted interventions to enhance learning outcomes. Future research should explore larger, more diverse datasets and incorporate ensemble methods, such as Random Forest or Gradient Boosting, to improve model generalization and prediction accuracy. Additionally, integrating socio-economic and psychological factors could provide a more holistic perspective on academic achievement.