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Tax avoidance is a corporate strategy to reduce tax minimizing tax liabilities while remaining compliant with applicable tax regulations. This strategy is considered significant in financial management practices, as it serves as a legitimate and efficient tax planning tool to optimize a company's financial condition. The purpose of this study is to analyze the effect of leverage, sales growth, and corporate risk on tax avoidance practices in energy companies listed on the Indonesia Stock Exchange (IDX) during the period 2020 to 2024. This research employs a quantitative method utilizing secondary data gathered from annual reports of companies, which were accessed via the official website www.idx.co.id and each energy sector company's official website. The analytical method employed in this study is multiple linear regression. The population consists of energy sector firms listed on the IDX during the 2020–2024 period, and a sample of 80 data obtained using purposive sampling based on certain relevant criteria. The results of the study indicate that leverage affects tax avoidance, while sales growth and corporate risk do not affect tax avoidance. Simultaneously, leverage, sales growth, and corporate risk affect tax avoidance.

The rapid growth of open-source software (OSS) in machine learning (ML) has intensified the need for reliable, automated methods to assess project quality, particularly as OSS increasingly underpins critical applications in science, industry, and public infrastructure. This study evaluates the effectiveness of a diverse set of machine learning and deep learning (ML/DL) algorithms for classifying GitHub OSS ML projects as engineered or non-engineered using a SMOTE-enhanced and explainable modeling pipeline. The dataset used in this research includes both numerical and categorical attributes representing documentation, testing, architecture, community engagement, popularity, and repository activity. After handling missing values, standardizing numerical features, encoding categorical variables, and addressing the inherent class imbalance using the Synthetic Minority Oversampling Technique (SMOTE), seven different classifiers—K-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Logistic Regression (LR), Support Vector Machine (SVM), and a Deep Neural Network (DNN)—were trained and evaluated. Results show that LR (84%) and DNN (85%) outperform all other models, indicating that both linear and moderately deep non-linear architectures can effectively capture key quality indicators in OSS ML projects. Additional explainability analysis using SHAP reveals consistent feature importance across models, with documentation quality, unit testing practices, architectural clarity, and repository dynamics emerging as the strongest predictors. These findings demonstrate that automated, explainable ML/DL-based quality assessment is both feasible and effective, offering a practical pathway for improving OSS sustainability, guiding contributor decisions, and enhancing trust in ML-based systems that depend on open-source components.

This study aims to analyze the influence of student organizations, role conflict, and self-regulation on student academic achievement. This study uses a quantitative approach with a survey method. The research sample consisted of 200 students of the Faculty of Economics and Business, Universitas Negeri Surabaya(Unesa) who are active in student organizations. Data collection was conducted through distributing questionnaires with a Likert scale. Data analysis used multiple linear regression, accompanied by tests of validity, reliability, normality, multicollinearity, and heteroscedasticity. The results showed that student organizations have a positive effect on student academic achievement. Role conflict has a negative effect on achievement. And self-regulation has a positive effect on academic achievement. All three variables simultaneously have a significant effect on academic achievement. The results of this study confirm that involvement in student organizations can have a positive impact on academic achievement if combined with strong self-regulation skills and effective role conflict management. Therefore, developing self-regulation skills and time management training should be part of student organization development programs in higher education.

Located in Karangjati, Semarang Regency. The rapid development of the culinary industry has led to increasingly fierce competition. Customer satisfaction is crucial for business continuity. This study employs a quantitative method with an explanatory design. A total of 96 individuals were surveyed using simple random sampling.  The F-test, reliability test, multiple linear regression, coefficient of determination, descriptive statistics, and t-test were used to analyse the data collected via a Likert scale questionnaire. The results show that taste and service quality have a positive and significant effect on customer satisfaction. Consistency in taste provides emotional satisfaction, while good service enhances the customer's dining experience. The coefficient of determination shows that these two factors explain more than 60% of the variation in customer satisfaction. These findings emphasise the importance for traditional restaurants to maintain the uniqueness and consistency of taste while improving service quality in order to build customer loyalty and maintain competitiveness.

This explanatory research aims to know the effect of self acceptance and emotional regulation to predict psychological well being cancer patient and to find which one is more effective to predict psychological well being cancer patients. The sampling technique used in this research was convenience sampling technique. Subjects in this research is 100 cancer patient at Dr Cipto Mangunkusumo National Central Public Hospital Jakarta. Data collection was carried out through questionnaires, interviews and observation. Self report technique is used in collecting instrumen data. The data analysis technique used is multiple linear regression analysis processed using Statistical Package for the Social Sciences (SPSS) software. The result shows that there is an influence between self acceptance and emotional regulation  in predicting psychological well being where the score of p value F test is 0,000 (p<0,05) and it is found that self acceptance  is more effective in predicting psychological well being compare with emotional regulation  Based on the research results, the findings are as follows: (1) collectively or simultaneously self acceptance and emotional regulation has a positive and significant effect on psychological well being, (2) partially self acceptance has a positive and significant effect on psychological well being; (3) partially emotional regulation has a positive and significant effect on psychological well being.

This research aims to analyze the effect of leverage, liquidity, and sales growth on profitability in food and beverage companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period. The study used a purposive sampling method with 69 companies and 276 observation data. The data were analyzed using multiple linear regression through SPSS version 26 after classical assumption tests. The results show that leverage (Debt to Equity Ratio) has a negative effect on profitability, while leverage (Debt to Asset Ratio) has no effect. Liquidity measured by the Current Ratio has a positive effect, while the Quick Ratio has no effect on profitability. Sales growth positively affects profitability. Simultaneously, leverage, liquidity, and sales growth significantly influence profitability (Return on Assets) in food and beverage companies. These findings imply that companies should maintain an optimal capital structure and liquidity level to sustain profitability amid competition in the food and beverage sector.

This study aims to analyze the influence of price perception and service quality on customer satisfaction at Popo Kopitiam Tasikmalaya. The research method used is a survey with a quantitative approach. Data were collected through distributing questionnaires to 90 respondents who are active customers of Popo Kopitiam. Data analysis was conducted using multiple linear regression to determine the simultaneous and partial effects between the independent and dependent variables. The results showed that simultaneously, price perception and service quality have a significant effect on customer satisfaction. Partially, price perception has a significant effect on the level of customer satisfaction, indicating that assessing price according to product quality can increase satisfaction. Similarly, good service quality significantly influences customer satisfaction, indicating the importance of fast, friendly, and professional service. These findings indicate that the combination of competitive prices and optimal service is a major factor in building customer satisfaction at Popo Kopitiam Tasikmalaya.

Taxpayer compliance represents citizens’ awareness and responsibility in fulfilling their tax obligations to support national revenue. This study aims to analyze the influence of tax socialization, tax understanding, and service quality on individual taxpayer compliance at KPP Pratama Gianyar. Using a quantitative research approach, data were collected through a questionnaire survey distributed to 100 individual taxpayers registered at the tax office. The collected data were analyzed using multiple linear regression to determine the simultaneous and partial effects of the three independent variables. The research findings reveal that tax socialization, tax understanding, and service quality each have a positive and significant influence on taxpayer compliance. These results indicate that effective tax socialization enhances taxpayer awareness, comprehensive understanding increases compliance accuracy, and high-quality services strengthen taxpayers’ willingness to fulfill their tax duties. Therefore, improving these three aspects can significantly enhance compliance levels, which in turn contributes to the optimization of tax revenue and the strengthening of the national fiscal system.

This study aims to analyze the phenomenon of authoritarian backsliding or democratic regression in Southeast Asia, focusing on Indonesia and Thailand. Conceptually, backsliding refers to the gradual weakening of democracy through formal and legal mechanisms by political actors within the system itself. The research employs a literature study method, analyzing academic sources and international reports relevant to the topic. The findings indicate that both Indonesia and Thailand have experienced democratic decline characterized by the consolidation of executive power, the weakening of oversight institutions, and restrictions on civil liberties. In Indonesia, democratic regression occurs primarily through executive aggrandizement and strategic manipulation of elections, while in Thailand, it manifests through promissory coups under military dominance. The study concludes that democratic decline in Southeast Asia often occurs not through overt authoritarian takeovers but through a subtle erosion of democratic institutions that undermines popular sovereignty.

Repurchase intention represents a tangible form of consumer satisfaction toward a product or service offered by a brand, which fosters a desire among consumers to make repeat purchases of the same brand. Several factors influence repurchase intention, including brand trust, brand image, and electronic word of mouth (e-WOM). The existence of repurchase intention has significant implications for various industries, particularly the food and beverage (F&B) sector. One of the most recognized F&B franchises in Indonesia is the international brand Pizza Hut. This study aims to analyze the influence of brand trust, brand image, and e-WOM on repurchase intention among consumers of the international Pizza Hut franchise in Denpasar City. The research was conducted on consumers of the international Pizza Hut franchise in Denpasar, with a total of 100 respondents selected using purposive sampling. Data were collected through the distribution of offline questionnaires. The data analysis techniques employed in this study include multiple linear regression, as well as descriptive and inferential analyses using SPSS software. The findings indicate that brand trust, brand image, and e-WOM have a positive and significant effect on repurchase intention. Based on these findings, it is recommended that the international Pizza Hut franchise consider the aspects of brand trust, brand image, and e-WOM as key strategies to enhance consumers’ repurchase intention.

This study to analyze factors influencing taxpayer compliance in paying Rural and Urban Land and Building Tax (PBB-P2) in Sragen Regency. Tax compliance is a crucial issue in state revenue, and understanding the factors that influence it is crucial for designing effective tax policies. The independent variables studied are taxpayer awareness, tax socialization, and the tax system, with PBB-P2 taxpayer compliance as the dependent variable. Data were collected from taxpayers in Sragen Regency and analyzed using multiple linear regression methods.   The results of the regression test indicate that not all hypothesized factors have a significant influence on tax compliance. Partially, the variables of taxpayer awareness and the tax system were shown to have a positive and significant influence on compliance with PBB-P2 payments. This indicates that the higher the taxpayer awareness and the better the tax system implemented, the higher the level of taxpayer compliance. Conversely, the variable of tax socialization was found to have no significant effect on taxpayer compliance. This finding suggests that the existing socialization program may not be effective or needs to be re-evaluated to achieve a more tangible impact.   Based on these findings, this study recommends that the local government and tax authorities in Sragen Regency focus more on increasing taxpayer awareness and continuously improving the tax system. Although the socialization program was not statistically significant, it is recommended to review the socialization strategy to make it more targeted and relevant to taxpayer needs. This is expected to improve taxpayer compliance with PBB-P2, which will ultimately have a positive impact on regional revenue.      

This study aims to analyze the relationship between managerial ownership, institutional ownership, audit committee, and research and development (R&D) expenses on Intellectual Capital Disclosure (ICD) in healthcare sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. Intellectual Capital Disclosure is essential as it reflects a company’s ability to manage knowledge, innovation, and human resources that serve as its competitive advantage. This research employs a quantitative approach using the total sampling method, where all healthcare sector companies that meet the criteria are included as samples. Secondary data were obtained from annual reports and analyzed using panel data regression with the assistance of Stata 19 software. Model selection was conducted through Chow, Hausman, and Lagrange Multiplier (LM) tests, with the results indicating that the Random Effect Model (REM) was the most appropriate model to use. The results show that managerial ownership, institutional ownership, and audit committee have negative and insignificant relationships with Intellectual Capital Disclosure. In contrast, research and development activities have a positive and significant relationship with Intellectual Capital Disclosure.

The purpose of this study was to determine the effect of character education and learning motivation on student learning discipline in Integrated Social Studies subjects for class VIII at SMP Negeri 3 Limboto, Gorontalo Regency. This study used a quantitative approach with a quantitative descriptive research method. The data used were primary data obtained through distributing questionnaires to 50 class VIII students as respondents, and supported by research documentation. Data analysis was carried out using multiple linear regression to test the relationship between the variables of character education, learning motivation, and student learning discipline. The results showed that character education had a positive and significant influence on student learning discipline, as evidenced by the calculated t value of 2.698 which was greater than the t table of 1.677 and a significance value of 0.010 which was less than 0.05. In addition, learning motivation also showed a positive and significant influence on learning discipline with a calculated t value of 3.386 which was greater than the t table of 1.677 and a significance value of 0.001 which was less than 0.05. Simultaneously, character education and learning motivation have a significant effect on student learning discipline, which can be seen from the calculated F value of 92.162 which is greater than the F table of 3.19 and the significant probability value of 0.000 which is less than 0.05. The coefficient of determination (R²) of 0.797 indicates that 79.7% of the variation in student learning discipline can be explained by these two variables, while the remaining 20.3% is influenced by other factors outside this study. Thus, increasing character education and learning motivation in schools is expected to improve student discipline which has implications for better academic quality and character formation.

This quantitative study analyzes the influence of Ship Docking Schedule (X1), Port Availability (X2), and Loading and Unloading Productivity (X3) on Vessel Waiting Time (Y) at Tanjung Intan Cilacap Port. Data were collected through questionnaires administered to 86 vessel crew respondents and analyzed using Multiple Linear Regression (SPSS v.26). The t-test results indicate that X1, X2, and X3 individually exert a positive and significant influence on Y.1 The regression model demonstrates robust predictive power, explaining 55.2% of the variance in vessel waiting time (R^2{adj}=0.552). Based on the standardized beta coefficients, the Ship Docking Schedule (X1, \beta=0,385) is identified as the most dominant factor, followed by Loading and Unloading Productivity (X3, \beta=0,302) and Port Availability (X2, \beta=0,307).1 This finding confirms that optimizing maritime logistics performance, particularly in bulk terminals facing physical constraints, requires prioritizing procedural efficiency and scheduling accuracy.

Sea transportation plays a crucial role in supporting national development, particularly in transporting goods and passengers. Tanjung Emas Port in Semarang, as a major port with high traffic, faces significant challenges in ensuring navigational safety. This study aims to analyze the partial effects of three key operational factors—Communication System (X1), Safety Facilities (X2), and Crew Competence (X3)—on Navigational Safety (Y). A quantitative approach was used with a sample of 100 ship crew members, selected using incidental sampling. Data were analyzed through descriptive statistics and Multiple Linear Regression (MLR) using SPSS. The results indicate that all three independent variables have a positive and significant effect on navigational safety. The regression equation obtained, Y = -1.398 + 0.218X1 + 0.278X2 + 0.302X3 + μ, shows that Crew Competence (X3) is the most dominant variable in predicting navigational safety outcomes. Collectively, these variables explain 72.4% of the variance in navigational safety. These findings emphasize that human competence and adherence to procedural discipline are critical leverage points in improving safety performance at ports.

Thesis by Gisela Nana, Nim 2386206182 entitled “ The influence of the media images of the students learning in subjects IPA about animal classification according to the type of food in class IV SDI Manumuti Malaka District”. This research of this study is to determine the students learning outcomes after using picture media in science subject on animal classfication based of food types. The method used the quantitative descriptive method. This study was conducted in SDI Manumuti, Umanen Lawalu Village, District Malaka Tengah, District of malaka. Data collection technique is a test and analysis technique used are simple linear regression statistical analysis. From the results of the study prove that as many as 18 people or 99% of students gaining higt grades in learning outcomes, whereas 1 or equal to 1% less value in learning outcomes. It is evident from the results of test calculations of  Fcount  = 5,70 which is significantly larger than the Ftable at the significant level of 5% N= 18 at 4,49 or equal to Fcount  ≥ Ftable  or 5,70 ≥ 4,49. Based on the above results the value of Fcount  is greater than Ftable namely Fcount = 5,70 and F table =4,49. Then Ho is rejected and Ha accepted. It can be concluded that there is the influence of the media images of the students learning in subjects IPA about animal classifacation according to the type of food in class IV SDI Manumuti Malaka District.  

This research investigates the impact of Corporate Social Responsibility (CSR), along with Capital Intensity, Company Scale, and Profitability, on practices of Tax Evasion within energy firms registered on the Indonesia Stock Exchange (IDX) from 2022 to 2024. The matter of tax evasion endures as a major concern, given its effects on government funds and business openness. By employing a quantitative method featuring a causal-associative structure, the study empirically explores the links between these factors. Information from secondary sources, including yearly reports and sustainability documents, was collected and examined through multiple linear regression analysis via IBM SPSS version 26. The findings show that CSR exerts a positive and meaningful influence on Tax Evasion, whereas Capital Intensity and Company Scale demonstrate positive influences that lack significance. In opposition, Profitability displays a negative and meaningful effect on Tax Evasion. As a whole, the independent factors together exert a significant influence on tax evasion behaviors. These outcomes strengthen agency and legitimacy theories, implying that CSR initiatives could function as a tool for securing legitimacy in handling tax duties while promoting long-term corporate adherence to fiscal obligations.

This study aims to analyze the effect of institutional ownership and firm size on auditdelay with audit quality as a moderating variable in 54 mining companies listed on the Indonesia Stock Exchange during the 2021–2024 period. Using a quantitative approach with panel regression analysis, The audit delay is calculated using the number of days between the end of the financial year and issuance date of the audited financial statements; Institutionelles Eigentum is calculated by percentage institutional shareholding; firm size by the natural logarithm of total assets; and audit quality is proxied by the reputation of the Public Accounting Firm (Big Four and Non-Big Four). The results show that institutional ownership has no effect on audit delay, firm size has a negative effect on audit delay, and audit quality weakens the negative effect of both institutional ownership and firm size on audit delay. These findings highlight the need for companies and auditors to reconsider the effectiveness of monitoring mechanisms and audit quality to achieve more optimal audit completion.

This study aims to analyze the effect of profitability, liquidity, and asset structure on the capital structure of banking companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period, with firm size as a moderating variable. The research employs a quantitative approach using secondary data obtained from financial statements. The sample was determined through a purposive sampling technique, resulting in 27 banking companies that met the criteria. Data were analyzed using multiple regression analysis and Moderated Regression Analysis (MRA). The results reveal that profitability has a negative and significant effect on capital structure, indicating that banks with higher profitability tend to reduce their dependence on external financing. In contrast, liquidity and asset structure do not have a significant effect on capital structure, suggesting that these factors are less influential in determining debt policy within the banking sector. Furthermore, the MRA results demonstrate that firm size moderates the relationship between profitability and capital structure, implying that larger firms can better manage internal funds to reduce leverage. However, firm size does not moderate the effects of liquidity and asset structure on capital structure. These findings contribute to understanding capital structure determinants in the Indonesian banking industry.

This study aims to examine the effect of Leverage and capital intensity on tax avoidance with independent commissioners as a moderating variable in property and real estate companies listed on the Indonesia Stock Exchange (IDX). Tax avoidance practices in this sector are considered relatively high due to the complexity of fixed asset management and financing structures. The study applies a quantitative approach with an associative method and purposive sampling, resulting in 21 companies as the final sample with a total of 105 observations during the 2020–2024 period. Data were analyzed using multiple linear regression and Moderated Regression Analysis (MRA) with SPSS version 25. The results show that leverage has a positive and significant effect on tax avoidance, indicating that a higher level of debt usage increases the likelihood of tax avoidance through interest expenses. Capital intensity also has a positive and significant effect on tax avoidance, as higher investment in fixed assets provides opportunities for firms to utilize depreciation expenses in reducing taxable income. The moderating test reveals that independent commissioners do not moderate the relationship between leverage and tax avoidance but significantly moderate the relationship between capital intensity and tax avoidance in a negative direction, thereby weakening the effect. These findings highlight the importance of corporate governance mechanisms through the presence of independent commissioners in mitigating tax avoidance, although their effectiveness remains limited to specific aspects. This study contributes empirically to the taxation and corporate governance literature and provides recommendations for regulators and tax authorities in strengthening tax compliance monitoring in the property sector.