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This study critically examines the effectiveness of early intervention programs in addressing war-related trauma in the Middle East by meta-synthesizing forty-seven interventions implemented between 2010 and 2024. The analysis demonstrates that cognitive behavioral therapy (CBT) based interventions achieved a success rate of 78.3 percent with p value less than 0.001 in reducing post-traumatic stress disorder symptoms, with an effect size of d equal to 0.86 indicating substantial therapeutic strength. Group based interventions showed higher effectiveness (83.2 percent) than individual approaches (71.5 percent), and programs involving family support yielded better recovery outcomes (84.7 percent) than those without family involvement (69.3 percent). Regression analysis identified three primary predictors of successful intervention outcomes, namely intervention duration (beta 0.42, p value less than 0.001), therapist cultural competence (beta 0.38, p value less than 0.001), and the integration of social support systems (beta 0.35, p value less than 0.001). These findings expand on prior studies by Ennis et al. (2020) and Mawar et al. (2025), which were limited to evaluating CBT effectiveness, and also reinforce the significance of cultural dimensions and social support systems as critical determinants. In contrast to the meta analysis by Nocon et al. (2017), which reported an effectiveness rate of 65 percent for individual interventions, the present study reveals the superiority of group based approaches in communal Middle Eastern societies. The novelty of this study lies in its comprehensive identification of culturally sensitive determinants of early intervention success and the formulation of an integrative model positioning family support as an essential component in protocols for war-related trauma care.

This study aims to identify the influence of profitability, liquidity, and asset structure on the capital structure of pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange during the 2019–2023 period. The study spanned five years, from 2019 to 2023. Of the total 15 companies in the population, 7 companies were selected as samples using a purposive sampling method. The research data were sourced from annual financial reports accessed through the official IDX website. Data processing was carried out using multiple linear regression methods. Capital structure was measured using two indicators: the Debt to Equity Ratio (DER) and the Debt to Asset Ratio (DAR). The analysis results showed that profitability had no effect on these two capital structure indicators. Conversely, liquidity and asset structure were shown to influence both DER and DAR. This study provides insight into the factors influencing debt financing decisions in pharmaceutical companies and their implications for the company's financial stability.

Facilities and infrastructure play a crucial role in enhancing the quality of learning in Playgroup (Kelompok Bermain). This study aims to examine the influence of the availability and management of facilities and infrastructure on the effectiveness of early childhood learning processes. A quantitative research method was employed using surveys with questionnaires distributed to teachers and administrators of Playgroups. The collected data were analyzed through descriptive statistics and regression analysis to determine the relationship between facilities and infrastructure and learning quality. The findings indicate that adequate facilities such as comfortable classrooms and educational aids significantly improve children's learning motivation and the smoothness of the learning process. Well-equipped environments enable teachers to deliver lessons more effectively, thus positively impacting children's learning outcomes. In conclusion, improving and maintaining facilities and infrastructure should be a priority for Playgroup managers to ensure optimal learning quality and support the holistic development of young children.

This study aims to empirically analyze how the implementation of Green Supply Chain Standards and halal certification affects the competitiveness of Food and Beverage SMEs in Padang City. Sustainable economic development requires the integration of environmental and ethical aspects in the supply chain, especially in the food sector. In Padang City, Food and Beverage SMEs are the driving force of the economy, facing a dual challenge of meeting consumer demands for halal products and environmentally friendly practices. This study uses a quantitative approach with a survey method. Primary data were collected through questionnaires from a sample of owners or managers of food and beverage SMEs operating in Padang City. Data management is carried out using regression analysis or Structural Equation Modeling to test the hypothesis of the effect of independent variables GSCM and Halal Certification on the dependent variable (SME Competitiveness). This research is expected to demonstrate that the implementation of GSCM positively affects the competitiveness of SMEs, and halal certification also has a significant positive impact on competitiveness, especially in expanding market access and increasing Muslim consumer trust.

Penelitian ini menggunakan data sekunder yang telah melalui beberapa proses pra-pengolahan, mencakup penanganan data yang hilang, standarisasi data numerik, serta konversi data kategorikal menggunakan teknik One-Hot Encoding. Sebagian besar data (80%) digunakan dalam tahap pelatihan, sedangkan 20% sisanya digunakan untuk tahap pengujian, sedangkan model diimplementasikan dengan metode LinearRegression() pada library scikit-learn. Hasil evaluasi menunjukkan bahwa model berhasil menangkap hubungan linier di antara variabel independen dan dependen, memperoleh nilai MAE = 0,509; MSE = 0,464; RMSE = 0,681; dan R² = 0,627. Hal ini menandakan bahwa sekitar 62,7 persen variasi harga rumah di wilayah Jabodetabek dapat dijelaskan oleh model tersebut.

This study aims to determine the effect of library facilities on students' interest in reading books in economics for grades 10, 11, and 12, majoring in social studies at SMA Negeri 1 Kabila, Bone Bolango Regency, Gorontalo Province. This study used a quantitative approach. Data collection methods used in this study were observation, documentation, and questionnaires. Based on the description above, the population in this study was 489 students in grades 10, 11, and 12 majoring in social studies at SMA Negeri 1 Kabila. The sample in this study was grades 10, 11, and 12. The analytical method used was simple linear regression. The results showed an effect. The results obtained a R-squared coefficient of 0.258. This value means that 25.8% of the variability in the variable of interest in reading economics textbooks for grades 10, 11, and 12 majoring in social studies at SMA Negeri 1 Kabila, Bone Bolango Regency, Gorontalo Province can be explained by library facilities, while the remaining 74.2% is influenced by other variables not examined in this study.

Economic growth is the process of increasing a country's production capacity to generate goods and services over a specific period, reflecting the income and well-being of its people. This research aims to analyse the influence of labor, exchange rates, and exports on the Gross Domestic Product (GDP) of the manufacturing sector in Indonesia during the period 2010-2024. The method used is multiple linear regression analysis with the Ordinary Least Square (OLS) approach, using secondary data obtained from the Central Bureau of Statistics (BPS) and Bank Indonesia (BI). The research results indicate that all three independent variables, namely labor, exchange rate, and exports, have a positive and significant impact on the GDP of the manufacturing sector, both partially and simultaneously. The coefficient of determination (Adjusted R2) value of 0.9633 indicates that 96.33% of the variation in industrial sector GDP can be explained by these three variables, while 3.76% is influenced by factors outside the model. This research confirms that increased labour productivity, exchange rate stability, and export growth play an important role in strengthening the performance of the manufacturing sector in Indonesia. Therefore, policies focused on improving the quality of human resources, strengthening export competitiveness, and ensuring macroeconomic stability are needed to support the sustainable and globally competitive growth of the manufacturing sector.

This study aims to analyze the effect of the Quantum Learning model using miniature terrarium media to improve science learning outcomes in grade V of SD Negeri 104202 Bandar Setia. The type of research used is a pre-experimental method with a One Group Pretest-Posttest design . The subjects in this study were 21 students in class VC who were determined through non-probability sampling techniques. The test instrument was in the form of 20 multiple-choice questions that had been analyzed through validity and reliability tests. The data results were analyzed using normality, homogeneity, linearity, simple linear regression, and paired sample t-test tests . The results showed that the average pre-test score was 68.57, increasing to 87.14 in the post-test. The paired sample t-test produced a Sig. value. 0.000 < 0.05 so that H0 is rejected and H1 is accepted, while the regression test obtained an R (R Square) of 0.691, which means that the Quantum Learning model with miniature terrarium media has an effect of 69.1% on improving student learning outcomes. This finding confirms that the Quantum Learning model using terrarium media has an effect on improving student learning outcomes.

This study aims to analyze the influence of proactive behavior on competitive advantage in quail breeder MSMEs in Bendowulung Village, Sanankulon District, Blitar Regency. The background of this research is based on the importance of increasing the competitiveness of MSMEs in the livestock sector in order to be able to survive and develop in the midst of increasingly competitive market competition. The research method uses a quantitative approach with data collection techniques through surveys or questionnaires distributed to quail farming MSMEs. The data were analyzed using statistical methods, including validity tests, reliability tests, classical assumption tests, linear regression tests, and hypothesis tests to determine the significance of the influence of proactive behavior on competitive advantage. The results of the study show that proactive behavior has a positive and significant influence on competitive advantage. These findings indicate that the higher the level of proactive behavior of an individual or organization, the greater their ability to innovate, take initiative, and adapt to changing business environments. Thus, proactive behavior is a strategic factor in strengthening the position of quail breeder MSMEs in the market, increasing revenue, and encouraging sustainable business performance. This research contributes to the development of MSME management theory and practical recommendations for business actors and policy makers.

The development of social media as a space for disseminating information has presented opportunities as well as challenges in religious learning for students. TikTok, as a digital platform that is popular among the younger generation, provides a variety of Islamic content with the theme of fiqh and morals that have the potential to affect users' religious understanding. This study aims to analyze the influence of Islamic content on TikTok with the theme of fiqh and morals on the religious knowledge of students of the PAI Study Program UIN Palopo. The research method used a quantitative approach with multiple linear regression analysis of 268 respondents selected through random sampling techniques. The results of the study show that the content of fiqh has a positive and significant effect on students' religious knowledge, so that content that contains explanations of the laws of worship can improve religious understanding. Moral content has also proven to be significant, especially because of the presentation of moral values that are simple and relevant to student life. Simultaneously, the two variables contributed 61.3% to the increase in religious knowledge. These findings confirm that TikTok plays a role as an effective informal learning medium, although the limitations of the duration of the content make the understanding formed not always deep. This research implies the need to strengthen digital literacy and students' critical attitudes in filtering religious content so that the understanding obtained is more comprehensive and accurate.

The development of the batik industry today requires business actors to be able to implement effective marketing strategies in order to increase competitiveness and encourage consumer purchasing decisions. This study aims to analyze the effect of promotion, product innovation, and digital marketing on purchasing decisions for Batik Lochatara products in Wates, Kediri Regency. This research uses a quantitative method with a survey approach through distributing questionnaires to Batik Lochatara consumers in Wates, Kediri Regency. The analysis techniques used in this study include multiple linear regression, partial test (t test), simultaneous test (F test), and the coefficient of determination to determine the contribution of each independent variable to the dependent variable. The results of this study indicate that partially promotion, product innovation, and digital marketing have a positive and significant effect on purchasing decisions. While simultaneously, the three variables are also proven to have a significant influence on purchasing decisions with an adjusted R-square value of 0.743 or 74.3%. This means that purchasing decisions at Batik Lochatara can be explained by promotion, product innovation, and digital marketing by 74.3%, while 25.7% is influenced by other factors not studied. This finding confirms that the right promotional strategy, continuous product innovation, and digital marketing optimization are important factors in increasing consumer interest and purchasing decisions for local batik products in modern markets.

This study aims to analyze the effect of inflation, Gross Regional Domestic Product (GRDP), and the Provincial Minimum Wage (PMW) on the poverty line in 10 provinces in Indonesia. The research employs a quantitative approach using panel data regression analysis. The data utilized in this study consist of panel data covering a 10-year period, from 2015 to 2024, obtained from the Provincial Offices of Statistics and Statistics Indonesia (Badan Pusat Statistik/BPS). To examine the relationship between variables across regions and over time, the fixed effect model is applied in the analysis. The results of the analysis indicate that inflation and GRDP do not have a statistically significant effect on the poverty line in the 10 provinces examined. These findings suggest that although inflation and GRDP are important macroeconomic indicators, their variations during the study period were not sufficient to directly influence changes in the poverty line across the provinces. In contrast, the Provincial Minimum Wage (PMW) is found to have a significant effect on the poverty line. This result implies that increases in the minimum wage play a crucial role in improving household purchasing power, which can contribute to reducing poverty levels. Overall, the findings highlight the importance of wage policy as an effective instrument for poverty alleviation at the provincial level. While broader economic growth and price stability remain important, policies related to minimum wage determination appear to have a more direct and measurable impact on poverty conditions. Therefore, policymakers are encouraged to consider wage policies alongside other macroeconomic strategies to achieve more effective poverty reduction outcomes.

This study aims to analysis the impact of the presence of coal transport parking areas on the Income of the Informal Sector, identify the most dominant factors influencing Income, and examine the socio-economic impact experienced by informal sector business actors in Muara Tembesi District. This study uses a quantitative approach with Multiple Linear Regression analysis and Classical Assumption Tests to test the hypotheses. Data were obtained through surveys of informal sector business owners around the parking areas. The dependent variable is Income, while the independent variables include Age, Education, Working Hours, Initial Capital, and Distance. Comparative descriptive analysis is used to validate socio-economic changes. Data analysis shows that working hours, initial capital, and distance have a positive and significant impact on the income of informal sector business actors, whereas age and education do not significantly affect the income of informal sector business actors. Descriptively, there has been massive welfare migration, indicated by the decrease in the proportion of low-income respondents from 60 percent to only 2 percent after the intervention. The presence of parking pockets has been proven to provide a positive and transformative economic impact for the informal sector. This impact is driven by increased production inputs (Capital and Working Hours). On the other hand, logistics activities generate negative external impacts in the form of dust pollution and security risks, which require strict regulation by the Local Government.

This research aims to examine the contribution of the Price Variable, Promotion Variable, and Product Rating Variable to Consumer Purchase Intention for Wardah cosmetic products on the Shopee e-commerce platform. The type of research used is a quantitative approach with data collection techniques through questionnaires distributed to respondents, namely consumers who have purchased Wardah cosmetic products on the Shopee e-commerce platform. The data obtained were analyzed using multiple linear regression techniques.The findings show that the Price variable contributes significantly, indicating that the more appropriate and affordable the price offered is in accordance with consumers’ perceived value, the higher their intention to purchase Wardah products on the Shopee e-commerce platform. Promotion is also proven to make a significant contribution to Purchase Intention, meaning that the more effective, informative, persuasive, and attractive the promotional activities are (both online and offline), the stronger the consumers’ motivation to purchase Wardah products on Shopee. Product Rating also has a significant contribution to Purchase Intention, indicating that the higher the ratings or positive reviews given by other users, the greater the consumers’ interest in purchasing Wardah products on Shopee. Good ratings can lower perceived risk, increase trust, and encourage consumers to make purchases, especially on e-commerce platforms.This research emphasizes the importance of pricing strategies, improving promotional quality, and managing product reviews and ratings as efforts to increase consumer interest and purchase decisions.

This study aims to model the Infant Mortality Rate (IMR) in East Nusa Tenggara Province using truncated spline nonparametric regression. In this study, IMR is associated with four predictor variables: the percentage of poor people, the percentage of pregnant women under 19 years of age, low birth weight, and life expectancy. These four variables have an unpatterned relationship, indicating the presence of a nonparametric component in the model. The truncated spline regression method was chosen because of its ability to handle nonlinear relationships between variables. The results showed that the best model was obtained using three knot points, which produced a coefficient of determination (R²) of 97.47%. This indicates that the truncated spline regression model is able to explain 97.47% of the variation in IMR in East Nusa Tenggara Province. In addition, the four predictor variables have a significant influence on the model, making a significant contribution in explaining the factors that influence IMR in the region.

This study aims to examine the influence of brand image, location, and price on customers’ purchase intention at the USD Bundle thrifting store in Kediri. This research employed a quantitative approach using purposive sampling, involving 152 respondents who were active customers of USD Bundle. Data were analyzed through classical assumption tests, multiple linear regression, t-test, and F-test using SPSS 25. The results indicate that brand image, location, and price each have a positive and significant effect on purchase intention. Simultaneously, these variables also show a positive and significant impact, with a coefficient of determination (R²) of 0.954, meaning that 95.4% of the variation in purchase intention is explained by brand image, location, and price. These findings highlight that a strong brand image, strategic location, and competitive pricing play essential roles in increasing customer purchase intention in thrifting businesses, particularly within urban environments such as Kediri City.

Digital information literacy and digital informal learning are especially fundamental in improving the efficiency of teachers instruction within a context of limited resources such as Islamic secondary schools of Southern Pakistan. This paper examines how digital competencies (ex: information literacy, technology use, and communication) and digital informal learning (e.g.: self-directed learning thru online platforms) make teachers able to deliver engaging lessons, manage classrooms, and encourage student-centered learning. Although interest in digital education is increasing, little research has considered such aspects in rural to Islamic schools. In a quantitative research, 450 teachers of Islam secondary schools and Southern Punjab comprised the purposive sample in which the structured questionnaires were administered and assessed using SPSS v 22, descriptive statistics, correlation and multiple linear regression. Results have shown that increased digital capabilities lead to a strong increase in instructional effectiveness, whereas digital informal learning brings cultural awareness and invention of new practices in teaching. A combination of these factors enhances the delivery of the lesson, student participation, and classroom management. The research suggests considering digital competency training and informal learning materials as part of teacher development companies in order to improve educational performance in the under-resourced Islamic schools.

This study aims to examine the effect of profitability, sales growth, and liquidity on debt policy in property and real estate companies listed on the Indonesia Stock Exchange for the 2019–2024 period. The independent variables in this study include profitability, measured by Return on Assets (ROA); sales growth (SG); and liquidity, measured by the Current Ratio (CR). Meanwhile, the dependent variable is debt policy, measured by the Debt-to-Equity Ratio (DER). This study uses a quantitative approach, employing multiple linear regression analysis. The sample comprises 174 observational data points collected using purposive sampling. Testing was conducted using SPSS software, which includes the classical assumption test, the coefficient of determination test, the simultaneous test (F test), and the partial test (t test). The results show that profitability, sales growth, and liquidity simultaneously significantly affect debt policy. Partially, profitability tends to be positive, sales growth tends to be negative but not significant with respect to debt policy, while liquidity has a simultaneous negative effect. Of the four hypotheses proposed, two were accepted, and two were rejected because the direction of the influence did not match the initial assumption, and the significance value was more than 0.05.

This study aims to analyze and explain in greater detail the influence of service quality in managing the Business Identification Number (NIB) through the Online Single Submission (OSS) system on public satisfaction at the Investment and One-Stop Integrated Service Office (DPMPTSP) of Gresik Regency. A quantitative research method was employed, using a structured survey design and distributing questionnaires to 105 respondents who had directly utilized and experienced the OSS service. Service quality was measured using the SERVQUAL dimensions tangible, reliability, responsiveness, assurance, and empathy while public satisfaction was assessed based on indicators derived from the Regulation of the Minister of Administrative and Bureaucratic Reform No. 14 of 2017. The collected data were analyzed using simple linear regression to identify the extent of the relationship between variables. The results indicate that service quality has a positive and significant effect on public satisfaction. This means that better, more consistent service quality will increase user satisfaction. The findings confirm that strengthening service quality is essential for improving overall public service performance, especially in digital-based licensing systems.

This study aims to see the effect of Debt to Equity Ratio (DER) and Return on Assets (ROA) on Stock Price in PT. Wilmar Cahaya Indonesia, Tbk which is listed on the IDX during the period 2015–2022. The data used in this study is in the form of the company's annual financial statements obtained through secondary sources. This study uses a quantitative approach with multiple linear regression analysis methods, while data processing is carried out using the SPSS application. The results of the study show that partially the Debt to Equity Ratio (DER) variable has a negative effect on the Share Price, while the Return on Assets (ROA) does not have a positive effect on the company's Share Price. However, the results of the simultaneous test show that DER and ROA together have a positive and significant influence on the Stock Price. These findings provide an idea that the combination of capital structure and profitability remains an important indicator in assessing the performance of a company's shares even though their partial relationships show different tendencies. In addition, this research can be a reference for investors in considering the company's fundamental condition before making investment decisions, as well as provide additional insights for management in managing the capital structure more optimally.