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This study empirically examines the effects of ownership structure, including managerial, institutional, and public ownership, on tax avoidance practices, using profitability as a moderating variable. The population in this study consists of manufacturing companies listed on the Indonesia Stock Exchange (IDX), from which a sample was selected using purposive sampling. A total of 330 observations were collected from 110 manufacturing companies for the period 2022–2024. The variables were tested using multiple linear regression in EViews 12. This study expands on previous research by using profitability as a moderating variable that can influence the relationship between ownership structure and tax avoidance. The results show that institutional ownership has a negative and significant effect on tax avoidance practices. An increase in institutional share ownership can reduce tax avoidance practices. Meanwhile, managerial and public ownership do not affect tax avoidance practices. In the moderation test, profitability strengthened the effect of managerial and institutional ownership on tax avoidance. Still, it did not moderate the impact between public ownership and tax avoidance.

Tax avoidance can be detrimental to the country because it reduces the state's revenue. This study aims to analyze the effect of sales growth, capital intensity, and earnings management on tax avoidance with company size as a moderating variable. The population of this study comprises 221 manufacturing companies listed on the IDX in 2020-2024, with a sample of 64 companies selected via purposive sampling based on specific criteria, yielding a total of 320 observations analyzed using panel data regression (E-Views 12). The results show that sales growth directly affects tax avoidance, and company size moderates the relationship between sales growth and tax avoidance. However, capital intensity and earnings management do not have a significant effect, and company size cannot moderate the relationship between capital intensity and earnings management with tax avoidance. These findings emphasize that high sales growth can encourage companies to comply with tax regulations, thereby reducing tax avoidance, and that this effect can be suppressed by large company size due to greater reputational pressure and scrutiny. This study expands on previous research by making company size a moderating variable in the relationship between sales growth, capital intensity, and earnings management and tax avoidance.

This study evaluates the impact of TATO, ROA, DER, stock returns, and firm size on company value (PBV) for 28 infrastructure companies listed on the Indonesia Stock Exchange (IDX) during 2021–2023. The background to this research is the crucial role of the infrastructure sector amid government budget dynamics that affect corporate performance and investor perception. The results show that ROA, DER, and stock returns have a significant positive effect on company value. This indicates that high profitability, optimal debt management, and good stock returns send positive signals to the market. Conversely, TATO was found to have a significant negative effect, reflecting that inefficiencies in asset management can reduce investor confidence. Meanwhile, firm size had no significant impact on company value. This study recommends that investors use ROA, DER, and stock return as key indicators in decision-making. At the same time, companies are advised to optimise profitability and debt management to enhance their value in the eyes of investors.

This study aims to examine the influence of servant leadership (SL) on perceived organizational support (POS), job satisfaction (JS), job embeddedness (JE), and turnover intentions (TI) among private bank employees in West Jakarta. The research is motivated by the high turnover rate in the banking industry, despite organizational efforts to strengthen leadership and employee support. A total of 154 employees participated by completing an online Likert-scale questionnaire, and the data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 4.1.0.9. The findings reveal that SL positively and significantly influences POS (β=0.667), JS (β=0.585), and JE (β=0.579). Furthermore, POS (β=−0.328), JE (β=−0.386), and JS (β=−0.220) significantly and negatively affect TI. Predictive relevance is supported with Q² values ranging from 0.283 to 0.604, while model fit testing using SRMR yielded 0.050 (saturated) and 0.127 (estimated). Bootstrapping was conducted with 5,000 resamples, two-tailed testing, bias-corrected accelerated (BCa), and 95% confidence intervals. Theoretically, this research strengthens the literature by demonstrating that SL enhances workplace relationships through improved POS, JS, and JE, which subsequently reduces turnover intentions. Practically, the findings provide implications for banking management to adopt servant leadership as a strategic approach to employee retention. Nevertheless, despite high levels of POS, JS, and JE, some respondents still report turnover intentions, indicating the presence of unmodeled external factors such as career opportunities, workload, or industry dynamics. This study is limited by its cross-sectional design and one-time self-report measurement; thus, generalizations and causal inferences should be made with caution.

This study aims to identify the factors that influence the unemployment rate and its impact on the economic and social welfare of the community. The research method uses a literature study. The findings show that factors such as inequality in labor supply and demand, government policies that are less pro-people, and population growth are the main causes of high unemployment. Although the government has taken measures, such as the allocation of funds for handling COVID-19 and incentive programs, the decline in unemployment has not been significant. Recommendations include policies that support increased employment, investment in education and skills training, gender inclusion in the workforce, and cooperation between the government, private sector and civil society to create sustainable employment. With these measures, Indonesia is expected to reduce its unemployment rate and create a more stable and inclusive economy.

The practice of income smoothing is a common phenomenon that occurs as a management effort to reduce reported profit fluctuations. This study aims to determine the effect of managerial ownership, institutional ownership, Net Profit Margin, Cash Holding, Bonus Plan, and dividend payout ratio on income smoothing practices. The sample of this research is non-financial companies that are listed on the Indonesia Stock Exchange in 2018-2020. Data obtained from www.idx.co.id. Logistic regression analysis model with SPSS. The conclusion in this study is that managerial ownership, institutional ownership, Net Profit Margin, Cash Holding, and dividend payout ratio have a significant positive effect on income smoothing. Meanwhile Bonus Plan did not have significant effect on income smoothing.

This research on profitability aims to examine the effect of firm size on capital structure. The population in this research are tourism, restaurant, and hotel companies listed on the Indonesia Stock Exchange in 2019 - 2020. The sample in this research was selected through purposive sampling, so that a sample of 31 companies was obtained. The statistical test tool uses multiple regression analysis. Capital ctructure in this research was measured using Debt to Equity Ratio, while firm size was measured using total assets. The results show that firm size has negative and insignificant effect on capital structure. The size of the company has no effect on management decisions to manage capital structure, whether management will use accounts payable or use its own capital. The bigger the company, the management will decide to manage using their own capital. There is a possibility that the larger the size of the tourism, restaurant, and hotel companies, management will tend to use capital originating from within the company, especially to reduce risk. This is exacerbated by the COVID-19 pandemic which has caused a sluggish tourism worldwide. Investors may withdraw their money in tourism and divert their funds to other fields that are considered more profitable.

Tax aggressiveness is the actions taken by the company to reduce its tax obligations. A company is said to carry out tax aggressiveness if the company tries to reduce the tax burden aggressively, either using legal methods, namely tax avoidance or illegal methods such as tax evasion. Although not all tax planning actions are carried out illegally, the more loopholes a company uses to avoid taxes, the more aggressive the company is considered. And this study aims to examine the relationship between the dependent variable and the independent variable of this study. The independent variables are liquidity, ROA, leverage and firm size and the dependent variable is tax aggressiveness. And for the analytical method used is regression analysis, and descriptive analysis. Descriptive statistics are used to describe or describe the variables in the study. Descriptive statistics used are measures of tax aggressiveness of all sample companies. The description of the variables can be seen from the mean and standard deviation. The descriptive statistical test was carried out with the SPSS program. The results of the study found that liquidity has no effect on tax aggressiveness, then Renturn on Assets (ROA) affects tax aggressiveness, then leverage affects tax aggressiveness and company size affects tax aggressiveness.   Keywords: Liquidity, ROA, Leverage, Company Size, Tax Aggressiveness

Increasing technological developments require many parties to always adjust to all kinds of changes that will occur in the future, both economic conditions, government regulations, consumer conditions, and conditions of competitors. The way companies communicate with their investors has also changed, as a result of the rapid development of the internet. The internet that companies use to report financial information to investors is called Internet Financial Reporting (IFR). Today, IFR has been put forward by most countries because it can minimize the negative effects of information asymmetry, reduce agency costs, reduce capital costs, and increase firm value. Companies in achieving their goals are faced with uncertain conditions. The purpose of this study is to find out how the differences between IFR and ERM in commercial banks in Indonesia with high and low market capitalization values. This research is a non-static analytical descriptive study. The sample used is only two commercial banks to be compared. The results of the comparative analysis carried out showed that there was no significant difference in the implementation of IFR, but in the implementation of ERM there were significant differences.  

The determination of cost of goods sold aims to determine the price of product sales by a company. Calculation of basic price in a company to reduce the number of losses in the company. Because often the company suffered losses due to the large cost of production does not match the product selling price. The background of this study is how the calculation of cost of goods sold on manufacturing companies and how to determine the method of selling prices of products in manufacturing companies. In collecting this research data using descriptive research with quantitative qualitative data analysis techniques. Data collection method used is method of documentation and interview method. The data collected in the form of production data, sales, raw materials and others. The method used in determining cost of goods sold is using the approach of calculation method of full costing and method of variable costing.The calculation of cost of goods sold is a method of determining the price of products that charge elements of different production costs between the method of full costing with variable costing. In 2013 - 2015 UD. Eternal Blessing using Full Costing method in getting the results of 2013 amounted to Rp. 280.573.00. Year 2014 of Rp. 236.789.00. Year 2015 of Rp. 350.931,00. Meanwhile, when using Variable Costing method in getting the results in 2013 of Rp. 233701.00. Year 2014 of Rp. 209.398.00. Year 2015 of Rp. 323.299,00. Thus in knowing that between using method of full costing with variable costing happened difference. This difference is because the full costing method imposes all production costs, whereas the variable costing method does not impose fixed overhead costs. Fixed overhead costs exclude production costs. From this research it can be concluded that UD. Kedungpring Lamongan Eternal Blessings experience ups and downs of total profits per year and this study proves that cost of goods sold should pay attention to cost issues affecting the sale price.

PT Philnesia International is a limited liability company engaged in the business of manufacturing furniture products. At PT Philnesia International, if an order is received by the company, then the company makes products in accordance with existing orders. Control and planning of raw materials are very important in the production process so that the production process can run smoothly, on time and can reduce delays in delivery. PT Philnesia International wants to create a computerized Production Accounting Information System. In addition to making it more effective, accurate and efficient, the owner wants to make it easier for his employees to perform more advanced and modern and makes it easier to view reports every day. The results that will be obtained from the design of this system is an information system that can make it easier for companies to determine raw material requirements, the production process and view the required reports.

Infant health can be known one of them through the assessment of nutritional status. In general, Body Mass Index (BMI) has been used as a method for measuring the nutritional status of children. If there are two children who have same body weight and height, they may have different nutritional status. Whenever this occurs, the use of BMI for measuring the nutritional status shall be deemed less accurate. The anthropometry will be vital in measuring the nutritional statuss. The guidelines for determining the nutritional status Anthropometry parameters are selected and recommended which includes an assessment of the age, weight, body length or height. This research aims to build a model of C4.5 adaboost so it can recognize patterns and be able to classify the nutritional status of children into five classes: normal, fat, very fat, thin and very thin. The variables used in this classification is Gender, Age (Months), Weight (kg) Height (cm). C4.5 (decision tree) Method has a good performance in dealing with the classification of nutritional status but the C4.5 has a weakness in the class imbalance. Adaboost isone ofboosting methods that could reduce imbalances class by giving weight to the level of classification error which may alter the distribution of data. Experiments carried out by applying the adaboost method C4.5 to obtain optimal results and a good degree of accuracy. The experimental results obtained from C4.5 method show that accuracy is 89.53%, the error rate is 10.47%, while the results of C4.5 with adaboost show 90.23% accuracy and 9.77% error rate. It can be concluded in the classification of nutritional status of children with C4.5 and adaboost proven method to solve problems of class imbalance and improve the high accuracy and can reduce the level of classification error.

The development of technology is now something that is universal and can be utilized in various human lives. One of them is in business. In this era, it is undeniable that a computer is a component that must be owned by a company in running its business, in order to assist in processing data and help improve the quality of work and quality of service. In this case, Eka Jaya Electronics Shop is used as a place of research, because in this place the system is still manual and not well managed, so that errors often occur in making reports and in processing stock. The purpose of this study is to provide convenience when processing sales, purchasing, product data, supplier data and customer data, minimizing errors in recording. The research method used in this study is to use the R & D (Research and Development) method. This method is used to produce a certain product that is analytical and its effectiveness can be tested so it can be used in the wider community. In designing the system tools used are Flowcharts, Entity Relationship Diagrams and Context Diagrams, while for data collection using observation, interviews, and literature study. Database application development tools using MySQL and programming languages ​​using Visual Basic 6.0. With this information system, transaction data processing can be computerized so as to reduce errors in reporting. Keywords: Accounting Information Systems, Sales and Purchases, R&D Methods