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This study evaluates the impact of Learning Technology Integration and Education Effectiveness on the Transformation of Educational Paradigms in the Digital Era. Learning Technology Integration refers to the application of digital tools such as e-learning platforms, online learning applications, and interactive media to support educational processes, while Education Effectiveness encompasses the ability of the education system to achieve optimal learning outcomes through efficient and relevant approaches. This research employs a quantitative method using a questionnaire survey distributed to 50 students at Universitas Negeri Jakarta, selected randomly. Data were analyzed using multiple linear regression to examine the relationship between the two independent variables (Learning Technology Integration and Education Effectiveness) and the dependent variable (Transformation of Educational Paradigms in the Digital Era). The results indicate that both variables have a positive and significant influence, both partially and simultaneously. This study recommends enhancing learning technology integration and the effectiveness of education systems as key strategies to accelerate the transformation of adaptive and innovative educational paradigms in the digital era.

In Indonesia., Micro, Small and Medium Enterprises (MSMEs) have an important role in the community's economy. With the business trend in society over the last 5 years, namely e-commerce business, now more and more business people are running e-commerce MSMEs. The number of MSMEs should be comparable with the large amount of taxes received from the MSME sector, but in relity it is stated by the Directora.e General of Taxes (DJP) that MSMEs ha.ve not contributed optimally to tax revenues. The success of this tax revenue effort is determined by several interrelated things, namely the ability of MSMEs to manage business finances which of course adequate implementation of MSME accounting is required. The aim of this research is to test the effect of implementing MSME accounting on taxpayer compliance for e-commerce MSMEs by adding understanding of taxation, taxpayer awareness, and ease of access as control variables. This research uses a questionnaire technique. The sample used was 90 respondents using the convenience sa.mpling method. The analysis technique used in this research is Multiple Regression Analysis. The results shown by this research are that the implementation of MSME accounting has a positive effect on e-commerce MSME Taxpayer compliance. Meanwhile, the control variables that influence are understanding taxation and ease of access. Taxpayer awareness variables are not proven to be control variables in this research.

The Influence of Product Quality on Consumer Satisfaction at UD. Source of Fortune, Panyabungan District, Mandailing Natal Regency. This research aims to analyze the influence of product quality on consumer satisfaction at UD. Source of Fortune. The method used is quantitative research with a sample of 99 respondents, taken using the Slovin formula. Data was collected through questionnaires and analyzed using simple linear regression. The research results show that product quality has a positive and significant influence on consumer satisfaction, with a t-count value of 21.726, much higher than the t-table of 1.661. The R Square value of 0.830 shows that 83% of consumer satisfaction is influenced by product quality. This research concludes that improving product quality can increase consumer satisfaction, so it is important for UD. Sumber Rezeki continues to improve the quality of its products in order to maintain and increase customer loyalty.

This study aims to classify chicken eggs based on their physical size using the concept of computer vision and image segmentation techniques. Compared to the standard methods that have been used so far, this alternative technology is expected to help standardize measurements, cost efficiency, and work effectiveness. In this study, the classification of chicken eggs was carried out using image segmentation and regression analysis. Thus, it is expected that the classification of chicken eggs will have increasingly accurate values. After the image is taken using a webcam, the image segmentation process is used to divide the image into homogeneous areas based on the RGB (true color) color intensity similarity standard. Regression analysis is used to study and measure the relationship between the number of pixels and the weight of the object. The number of pixels indicating the area of ​​the object is the result of image segmentation, which will be entered into the regression equation to calculate the weight (grams). The results showed that the color characteristics of chicken eggs have a normalization of R at least 0.41 and a normalization of G at least 0.3. In addition, the classification test has an accuracy of 100% (36/36) and a weight estimation accuracy of 42 percent (15/36).

This study is intended to find out and provide tangible evidence of the influence of Capital Intensity and Debt Level on Tax Aggressiveness in Property and Real Estate companies listed on the Indonesia Stock Exchange. This observation uses Tax Aggressiveness as the dependent variable and Capital Intensity and Debt Level as independent variables. This study uses a quantitative descriptive approach. The sample in this observation uses a purposive sampling method using financial report data for 5 years, and journals that have been researched by the researchers. The type of data for this research is secondary data obtained from the analysis of financial report data, international journals, national journals, astikels, and books. This hypothesis was tested using descriptive statistical analysis, classical assumption tests, multiple regression tests and hypothesis tests, namely the r analysis test and the t test. The results of this study show that Capital Intensity and Debt Level have a significant positive impact on Tax Aggressiveness.

This study aims to assess the potential development of beef cattle farming businesses for farmers in Perbaungan District, Serdang Bedagai Regency. The variables used in this research are beef cattle production and beef cattle prices as independent variables, and farmers' income as the dependent variable. The analysis approach utilizes a quantitative method with a multiple linear regression model using time-series data sourced from the Central Statistics Agency (BPS) of Perbaungan District for the period 2019–2023. The results indicate that the development of beef cattle farming businesses in Perbaungan District has significant potential to increase farmers' income and improve their welfare. The variables of beef cattle production and beef cattle prices collectively have a significant influence on farmers' income.

The purpose of this study is to ascertain how customer satisfaction at the Honda Sinar Wijaya Motor Kediri dealer is impacted by factors such as location, pricing, and service quality. Quantitative research is what this kind of study is. Primary and secondary data are the methods of data collecting that are employed. At the Honda Sinar Wijaya Motor Kediri Dealer, 77 respondents provided samples for the study through the use of the incidental sampling technique. Literature reviews, interviews, and questionnaires were used to gather the research data. Multiple linear regression analysis is the method of analysis that is employed. The t-test of the service quality variable showed a significant partial influence on customer satisfaction with a sig result of 0.001 <0.05, and the study's multiple linear regression equation was Y = 19,414 + 0.375X1 + 0.521X2 + 0.291X3. With a sig value of 0.001>0.05, price has a strong partial impact on customer satisfaction. With a sig. value of 0.017>0.05, location has a strong partial impact on customer satisfaction. With a significance value of 0.000 <0.05, the F test yielded the F count result. According to the analysis's findings, customer satisfaction at the Honda Sinar Wijaya Motor Kediri Dealer is significantly impacted by pricing, location, and service quality all at the same time.

Hydroponic plant cultivation is booming, but stock and sales are hard to predict. Poor prediction can cause farmers to overstock and lose money. This study suggests a framework that uses several machine learning models, including Linear Regression (LR), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting. "Ensemble Learning," which combines these models, should yield more accurate and generalizable results than a single model. This framework is assessed using historical hydroponic plant sales data and related factors like price, weather, and market trends. The model's performance is measured by the difference between predictions and actual values using RMSE and MAE metrics. This framework should improve hydroponic plant stock and sales predictions. Farmers can make better production, inventory, and harvest distribution decisions. Besides reducing financial losses, this reduces food waste and improves food security.

This research aims to prove and analyze the influence of transformational leadership, competency and level of job satisfaction on the performance of employees Serlok Kopi Surabaya partially or simultaneously. The population in this study was 55 respondents or all Serlok Kopi Surabaya employees. This research uses a sampling technique, namely a saturated sample using a data collection method through distributing questionnaires using quantitative data types. The method in this research uses the Validity Test, Reliability Test and Classical Assumption Test, data analysis is carried out using Multiple Linear Regression Analysis, while the hypothesis testing technique uses the t test and F test. Data analysis in this research uses SPSS version 25. The results of this research show that the variables Transformational Leadership (X1), Competency (X2), and ), Level of Job Satisfaction (X3) have a significant effect on employees Serlok Kopi Surabaya either partially or simultaneously.

The financial performance of mining companies listed on the Indonesia Stock Exchange (IDX) during the 2020-20203 period was greatly influenced by fluctuations in global commodity prices and macroeconomic conditions that had an impact on the company's competitiveness and profitability. Therefore, it is important to assess how companies in this sector are managing their financial performance amid various challenges and opportunities. This study analyzes financial performance using several main financial ratios, including liquidity ratios (Current Ratio and Quick Ratio), solvency ratios (Debt to Equity Ratio and Debt to Asset Ratio), profitability ratios (Return on Assets, Return on Equity, and Net Profit Margin), and activity ratios (Total Asset Turnover and Inventory Turnover). The method used to conduct the analysis is the quantitative descriptive analysis method, using data that has been taken based on the annual financial statements of companies listed on the IDX during the period. Sample selection using the purposive sampling method, resulted in 3 companies being analyzed. The results of the analysis of 81 data observed using the Multiple Linear Regression method showed that environmental performance and environmentally friendly products had a positive impact on the company's financial performance, while environmental poroscope and environmental activities did not show a significant influence on the company's financial performance.

This research examines the influence of learning moral beliefs on student behavior at MAN 1 Gorontalo Regency. Due to the increase in juvenile delinquency due to changes in social norms. So this research wants to identify the extent to which learning aqidah morals contributes to student behavior. The research used a quantitative approach with a sample of 83 students taken using the Slovin method. Data was collected through a questionnaire which was tested for validity and reliability. Data analysis was carried out using descriptive statistics and simple linear regression. The results of the research show that the calculated F value is 0.997, which is smaller than the F table of 3.96 and the significance level is 0.321 which is above 0.05, that there is no influence of learning moral beliefs on student behavior. External factors such as family environment, peers and the media are more influential in shaping their behavior.

This study aims to analyze the impact of sharia principles implementation and product innovation on the financial performance of Islamic banks in Indonesia. Using a quantitative approach through regression analysis, the study reveals that consistent adherence to sharia principles and relevant product innovation significantly affect financial performance. Partial tests show that sharia principles significantly influence customer trust and satisfaction, while product innovation contributes to enhancing competitiveness in the digital era. Simultaneously, these two variables strongly impact financial performance, with the regression model explaining 74% of the variance in financial performance. This study highlights the importance of synergy between sharia principles and product innovation in supporting the sustainability of the Islamic banking industry in Indonesia.

This study aims to explore how customer satisfaction can moderate the relationship between e-word of mouth (e-WOM) and e-commerce repurchase intentions. In today's digital era, e-WOM has become one of the important factors that influence consumer purchasing decisions. The method used surveyed e-commerce customers and analyzed the data using moderation regression. The results show that customer satisfaction is an important factor influencing the positive effect of e-WOM on repurchase intentions. These results provide e-commerce businesses with important knowledge to create effective marketing strategies and improve customer experience. It is hoped that this work will serve as a reference source for further research on the way these variables interact in the context of e-commerce.

This research aims to analyze the influence of service and product quality on the level of customer satisfaction of PT. Bank BRI KC Balikpapan Sudirman. Using a survey-based quantitative approach, this research involved 30 respondents as samples. The data obtained was analyzed using the multiple linear regression method using SPSS version 26 software. The research results show that service quality and product quality have a positive and significant impact on customer satisfaction. The regression coefficient for service quality was recorded at 0.313 with a significance level of 0.020, while the regression coefficient for product quality was 0.493 with a significance level of <0.001. The R Square value obtained is 0.537, indicating that 53.7% of the variation in customer satisfaction can be explained by these two variables, while the other 46.3% is influenced by factors outside this research model. These results confirm that product quality has a more dominant influence on customer satisfaction than service quality. Therefore, banks are advised to continue to innovate in developing product features and improving service quality through regular training for employees. This research provides a practical contribution to the banking sector in an effort to increase customer satisfaction and loyalty.

This research aims to analyze the effect of E-Service Quality and Perceived Value on Customer Satisfaction in using the Flip application. This study uses quantitative methods by collecting data through a Likert scale questionnaires distributed to active S-1 and D-4 students of the Faculty of Economics and Business State University of Jakarta who are Flip application users. The sampling method applied is purposive sampling, with a final sample of 86 respondents. The data collected was then analyzed using multiple linear regression with the help of SPSS software. The results showed that the two independent variables, namely E-Service Quality and Perceived Value, had a significant positive effect on Customer Satisfaction, both partially and simultaneously. E-Service Quality has a more dominant influence than Perceived Value with a regression coefficient of 0,379. This finding indicates that efficient, reliable, and high-value digital services contribute significantly to increasing Flip user satisfaction.

This research aims to obtain empirical evidence about influence earnings management and financial performance on company value listed on the Indonesian Stock Exchange (BEI) in the 2019-2023 period. The data used in this research is secondary data. Analysis of research data using multiple linear regression with the help of IBM SPSS 25 program. The independent variables in this research are earnings management and financial performance. And, the dependent variable in this research is company value. Using the purposive sampling method as a sampling technique sample, so that a population of 80 companies is obtained. In this research,24 non-financial state-owned companies were used as samples. For know the magnitude of the influence of earnings management and financial performance used regression analysis, correlation analysis F test and t test and coefficient analysis determination. The results of this study indicate that the variables are variable Earnings management does not have a significant effect on company value. meanwhile, financial performance significant positive effect on company value.

Company value can show how it performs in running the business. Company size, profitability, age and capital structure can have an effect on company value as proxied by PBV. This study was carried out in order to find out how company size, profitability, age and capital structure affect the value of Food and Baverage companies listed on the IDX during the 2019-2023 period. This study consists of the dependent variable company value, while the independent variables are company size, profitability, age and capital structure. The population used was 32 food and load businesses that were members of the BEI from 2019 to 2023. In this research, data was collected using a purposive sampling method. In this study sample, the research consisted of eleven companies with a total of fifty-five observations. The samples that have been collected are analyzed and processed using multiple linear regression tests. This study has findings that company size and age have an insignificant negative impact on company value, conversely the profitability variable has an insignificant impact on company value and capital structure has a positive impact on company value. 

This study aims to analyze the relationship between Authentic Leadership, Organizational Support, and Job Demands on Employee Resilience, with Job Satisfaction serving as a mediating variable. The research focuses on employees of multinational companies in Semarang, utilizing a quantitative approach with regression analysis to evaluate direct, indirect, and interaction effects among the variables.The findings reveal that Authentic Leadership does not significantly influence Employee Resilience directly, though it demonstrates a positive trend, indicating its potential role in creating a supportive work environment for resilience development. Similarly, Organizational Support shows no significant direct effect on Employee Resilience, suggesting that individual perceptions of organizational support may be influenced by other unexamined factors. Job Demands, while having a positive relationship with Employee Resilience, are also not statistically significant, implying that well-managed work demands may positively contribute to resilience without imposing excessive stress.Job Satisfaction as a mediating variable does not significantly explain the relationship between independent variables and Employee Resilience. Additionally, the interaction effects between Job Satisfaction and the independent variables (Authentic Leadership, Organizational Support, and Job Demands) are not significant. These findings suggest that while Job Satisfaction remains essential, its mediating or moderating role in this context is limited.Nevertheless, the overall regression model, which incorporates all variables and interactions, is statistically significant (F = 16.369; p < 0.001), indicating that the combination of these factors collectively influences Employee Resilience. This highlights the importance of considering multiple organizational factors to enhance employee adaptability and productivity.

This research aims to analyze the predictor factors that influence taxpayer compliance, which are built within the theory of planned behavior model. The research was conducted on individual taxpayers registered at the Pratama Ruteng Tax Service Office, which is within the working area of the East Nusa Tenggara Regional Office of the Directorate General of Taxes. Data collection was conducted through a survey. Data analysis was performed using regression with the SPSS application. The results indicate that both taxpayer morality and tax justice perception have a positive and significant impact on taxpayer compliance. Conversely, tax complexity has a negative and insignificant effect on taxpayer compliance. These findings imply that taxpayer compliance behavior is greatly determined by the experiences and conditions of the taxpayer, particularly concerning aspects of morality, justice perception, and tax complexity.

This research is a quantitative research with a quasi-experimental research design. Comparison of the effectiveness between groups of students using the TaRL (Teaching at The Right Level) learning method as a control group and groups of students using the CRT (Culturally Responsive Teaching) learning method as an experimental group on the Mathematics Learning Outcomes of Students IX MIPA 1 and IX MIPA 2 SMAS Mardi Yuana Bogor Regency. The sampling technique was carried out by determining according to the wishes of the researcher, namely students who were already in the class. The instrument used in this study was in the form of a test in the form of pretest and posttest questions to measure student learning outcomes. The instruments tested amounted to 20 questions with an objective or multiple-choice test assessment system which were analyzed using simple regression analysis including the t-test and coefficient of determination. The results of the study showed that there was no significant difference between the group of students using the TARL (teaching at the right level) learning method and the group of students using the CRT (culturally responsive teaching) learning method on mathematics learning outcomes as indicated by t count < t table (1.04 < 2.021) and a significance value of 1.04 > 2.024.