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This study aims to examine in depth the influence of financial variables consisting of Current Ratio (CR), Return on Equity (ROE), Debt to Equity Ratio (DER), and Earning per Share (EPS) on Stock Returns in primary consumer sector companies listed on the Indonesia Stock Exchange (IDX) during the 2018–2022 period. This study uses a quantitative approach by utilizing secondary data in the form of annual reports published through the official websites of each company and the Indonesia Stock Exchange page, so that the data used can be accounted for its validity. Sample selection was carried out through a purposive sampling technique with certain criteria resulting in 15 sample companies with a total of 75 observation data which were then analyzed using Eviews 13 statistical software. The analysis focused on partial and simultaneous relationships between variables to determine how much each factor contributed to the movement of Stock Returns. The results showed that the Current Ratio had no significant effect on Stock Returns with a probability value of 0.4079, so that company liquidity in the short term was not a major determining factor for investors. Return on Equity also did not show a significant effect with a probability value of 0.2591, indicating that the company's efficiency in generating profits from shareholder equity has not been a consistent benchmark for investment returns. Conversely, the Debt to Equity Ratio was shown to have a significant negative effect on Stock Returns with a probability value of 0.0053, meaning that the higher the company's leverage level, the greater the risk borne, thus implying a decrease in investor interest and a decrease in returns. Earnings per Share also did not have a significant effect on Stock Returns with a probability value of 0.2989, indicating that although EPS is one of the fundamental indicators, in the context of this research period its effect was inconsistent on the returns received.

This study aims to evaluate the financial performance of PT Jasa Marga (Persero) Tbk during the period 2021 to 2024 in an effort to assess the effectiveness of financial management within the infrastructure sector. The main focus of the study is to determine whether there has been an improvement in financial performance based on relevant financial indicators. The analysis was conducted using a descriptive quantitative approach based on the company’s published annual financial statements. The results indicate that, in general, PT Jasa Marga has experienced a significant improvement in financial performance over the past four years. This is reflected in improved liquidity, solvency, profitability, and activity ratios. The increase in toll revenue, as the company’s main source of income, along with profit growth and operational efficiency, serve as key indicators of the success of management strategies in addressing post-pandemic challenges and expanding national toll road projects. Additionally, improved debt management is evidenced by the declining leverage ratios year after year. These findings support the hypothesis that there has been an improvement in financial performance during the observation period.

This study provides a comprehensive synthesis of ten SINTA-accredited journal articles (levels 1–3) published from 2019 to 2024, examining how a low-interest-rate policy environment affects corporate capital structure in Indonesia. We focus on internal determinants (profitability, firm size, asset composition) versus external factors (market interest rates) in shaping firms’ debt ratios. The meta-analysis results indicate that although low interest rates statistically encourage higher leverage (average coefficient +0.28), internal firm characteristics remain the dominant drivers of capital structure decisions. Approximately 80% of studies report that more profitable firms tend to reduce debt ratios, consistent with the pecking order theory. In the post-pandemic context, low rates initially facilitated cheap borrowing, but heightened economic uncertainty underscores the need for managers to align funding strategy with each firm’s risk profile. The study draws practical implications: financial managers should calibrate capital structure in line with profitability and market volatility, while regulators should monitor corporate debt growth to safeguard financial stability. The findings also suggest directions for future research on how evolving macroeconomic conditions influence corporate finance in Indonesia.

The purpose of this study is to evaluate the Sarang Burung Village Government's financial performance for the fiscal year 2020–2023 in the Jambi Luar Kota District of the Muaro Jambi Regency. Six financial ratios—the Degree of Decentralization Ratio, Village Financial Independence Ratio, Village Financial Dependency Ratio, PADes Effectiveness Ratio, Expenditure Efficiency Ratio, and Revenue Growth Ratio—will be used in this study to examine Sarang Burung Village's financial performance. The Realization Report of the Village Revenue and Expenditure Budget (APBDes) of Sarang Burung Village, Jambi Luar Kota District, Muaro Jambi Regency, for the fiscal years 2020–2023 is the source of secondary data used in this quantitative descriptive study. The study's findings indicate that the Sarang Burung Village Government's financial performance is classified as extremely poor based on the Degree of Decentralization Ratio, very low for the Village Financial Independence Ratio, very high for the Village Financial Dependency Ratio, ineffective for the PADes Effectiveness Ratio, less efficient for the Spending Efficiency Ratio, and not good for the PADes Growth Ratio. The SWOT Analysis employs the S-T strategy, which leverages internal strengths to counter external threats.

This study aims to analyze the effect of financial variables—namely firm size, profitability, and capital structure (debt to equity ratio)—on dividend policy in energy sector companies listed on the Indonesia Stock Exchange during the period 2019–2023. The method used is multiple linear regression with secondary data obtained from financial statements and annual reports, selected through purposive sampling, comprising 13 companies and 65 observations. The analysis results indicate that firm size has a significant positive effect on dividend policy, while profitability (ROA) and capital structure (debt to equity ratio) have significant negative effects. These findings confirm that larger firms tend to pay higher dividends, whereas high profitability and leverage exert downward pressure on dividend policy. This study contributes to the development of financial literature concerning the determinants of dividend policy in the energy sector.

This study examines the effect of liquidity, leverage, cash flow, and managerial agency cost on financial distress among manufacturing companies listed on the Indonesia Stock Exchange. Using multiple linear regression analysis, the results show that liquidity and cash flow have a significant negative effect on financial distress, indicating that firms with higher current ratios and stronger operating cash flows are less likely to experience financial difficulties. In contrast, leverage and managerial agency costs have a significant positive effect, suggesting that excessive debt and inefficient managerial spending increase the likelihood of financial distress. The coefficient of determination (R²) of 0.983 indicates that these four variables explain 98.3% of the variation in financial distress. The findings emphasize the importance of maintaining financial efficiency and controlling agency costs to enhance corporate financial stability.

Mathematical logic is a branch of science that studies the principles of logical reasoning and how to judge the truth of a statement. This article discusses the role of mathematical logic in everyday life, especially in education, technology, and finance. Mathematical logic has been proven to help improve critical, analytical, and systematic thinking skills, making it easier for individuals to solve various problems more effectively and efficiently. In the world of education, mathematical logic supports the development of rational, argumentative, and problem-solving skills, and is an important foundation in the science and mathematics curriculum. Teachers can leverage this logic to encourage students in building consistent reasoning and logical argumentation. In the field of technology, mathematical logic is the foundation in the development of modern computing systems, such as algorithms, programming, artificial intelligence, and data structures. Without mathematical logic, digital systems such as search engines, software, and applications cannot function optimally. In finance, mathematical logic plays a role in budget strategy, investment decision-making, statistical analysis, and rational risk management. With a good understanding of logic, individuals and institutions can make more wise and measurable financial decisions. Although his contribution is large, there are still many people who do not understand the basic concepts of mathematical logic. This can be overcome through more inclusive education, contextual approaches, and interactive learning based on real problems, both in schools and non-formal environments. This study emphasizes the importance of mathematical logic as a foundation in supporting a more rational, efficient, and structured life in today's modern era. Increasing mathematical logic literacy can be a national strategy to create a society that thinks critically, is competitive, and ready to face global challenges.

This study aims to evaluate the financial performance of four cement companies listed on the Indonesia Stock Exchange (IDX) during the 2013 period. To achieve this, a descriptive quantitative approach was employed, utilizing purposive sampling. Data for the study was gathered from annual financial reports, which were publicly accessible through the official websites of the IDX and the individual companies. The analysis was carried out using the Du Pont System, a method that decomposes return on equity (ROE) into its components to assess the financial performance of the companies. The results of the analysis reveal that PT Inisial A exhibited the strongest financial performance among the four companies, demonstrating superior efficiency, profitability, and leverage. Following PT Inisial A, PT Inisial X performed moderately well, showing stable financial health but with some room for improvement in certain areas. On the other hand, PT Inisial Y and PT Inisial Z displayed the weakest performance, with PT Inisial Z facing significant challenges in maintaining profitability and managing its assets efficiently. This study’s findings provide valuable insights for investors, as it highlights the financial strengths and weaknesses of the companies involved, assisting them in making more informed investment decisions. Additionally, the results can serve as a reference for other companies within the cement industry, allowing them to identify areas for improvement and potential strategies for enhancing their financial performance. Furthermore, the research may contribute to future academic studies on corporate financial performance, particularly in the context of the cement industry in Indonesia. Overall, this research is expected to benefit both practitioners and academics by providing a comprehensive analysis of the financial status of the companies in question.

This study aims to examine the effect of financial performance on tax avoidance in start-up and established technology sector companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2023 period. Financial performance in this study is proxied by Return on Assets (ROA) and Debt to Equity Ratio (DER), while tax avoidance is proxied by Effective Tax Rate (ETR). This study uses a quantitative method with a comparative approach. The sampling technique used is purposive sampling. Data analysis was carried out using the Mann-Whitney U test and multiple linear regression using the SPSS application. The results of the study indicate that the financial performance of established companies is better than start-up companies, but there is no difference in tax avoidance in established and start-up companies. The results of this study prove that financial performance does not have a significant effect on tax avoidance. This study is expected to contribute to investors, academics, and policy makers in understanding the relationship between financial performance and tax avoidance in start-up and established companies.

This study systematically analyses the predictive ability financial ratios have in relation to the emergence of financial distress among non-cyclical companies on the Indonesia Stock Exchange during the period 2020-2023. Secondary data was collected from a sample of 151 secondary data companies listed on the Indonesia Stock Exchange, spanning the years from 2020 to 2023. In order to ascertain the relationship between the independent variables (X1, X2, X3) and the dependent variable, Multiple Linear Regression models are utilised by employing the Eviews calculation application. As a model, the Springate model is employed, which is used to measure financial distress. The financial ratios selected for analysis encompass the liquidity ratio, the leverage ratio, and the profitability ratio. The findings of this study suggest that the profitability ratio exerts a substantial positive effect, or a moderate effect, on the phenomenon of financial distress. In contrast, the liquidity ratio and leverage ratio demonstrate an absence of statistically significant influence on the phenomenon of financial distress. Extensive analysis of the results indicates that financial distress, as measured by Springate, does not exert a substantial influence on the findings obtained from this study. The incorporation of diverse samples and models in subsequent studies is likely to introduce variations into the research outcomes.

This research aims to analyze the effect of free cash flow on financial distress through return on assets and debt to assets ratio in the pharmaceutical subsector listed on the Indonesia Stock Exchange (BEI) during the period of 2020-2023. The analytical methods employed include descriptive analysis, correlation analysis, classical assumption testing, multiple linear regression analysis, and path analysis. The tool used for analysis is SPSS Version 25. The population consists of 13 companies, and through purposive sampling, a sample of 10 companies was obtained, resulting in a total of 40 firm observations over the 4-year period. The findings indicate that free cash flow has a negative effect on financial distress. Additionally, free cash flow positively influences both return on assets and debt to assets ratio. Return on assets has been proven to mediate the effect of free cash flow on financial distress, while debt to assets ratio does not demonstrate significant mediating capability. The originality of this research builds upon previous studies by introducing return on assets as a moderating variable and also incorporates debt to assets ratio as a moderating variable in the analysis.

Manufacturing companies in the textile and garment sector play an important role in the national economy, contributing to global development every year, creating jobs and encouraging domestic and foreign investment. However, the influence of globalization triggered by the influence of internal and external parties can cause many companies to experience financial difficulties. So researchers are interested in conducting research using secondary data in the form of annual financial reports. This study aims to evaluate financial ratios related to the company's financial distress conditions and identify factors causing financial difficulties in companies in the textile and garment sector listed on the Indonesia Stock Exchange in 2022-2023. This study uses the Springate (S-Score) method and logistic regression analysis with the results of the analysis showing that liquidity has a significant negative effect on financial distress, leverage has a positive insignificant effect on financial distress, and profitability has a significant negative effect on financial distress, and activity has a positive insignificant effect on financial distress.

Profitability acts as a moderating factor, this research seeks to learn how management ownership, leverage, and liquidity impact financial distress in transportation companies listed on the Indonesia Stock Exchange from 2018 to 2022. Quantitative research describes this kind of study. From 2018 through 2022, 37 transportation businesses were included in the study's population. These companies were listed on the Indonesia Stock Exchange (IDX). Eleven different businesses made up the sample. The kind of information used is secondary data. The method utilized to gather data is documentation studies. This study makes use of the Eviews 10 software program. The data analysis methods that are used include descriptive analysis, panel data regression analysis, R2 determination coefficient, significance test (t-test), and moderating test.  According to the study's findings, financial distress is not significantly impacted by leverage, financial distress is negatively and significantly impacted by liquidity, financial distress is not significantly impacted by managerial ownership, and the relationship between the debt-to-equity ratio variable and financial distress cannot be moderated by profitability. However, profitability can moderate and strengthen the impact of liquidity on financial distress, and it can also moderate and strengthen the impact of managerial ownership on financial distress.

The aim of this study is to find out the influence of Current Ratio, Leverage, Return on Total Assets, and Company on Bonds Rating in non-financial service industry sector listed on the Indonesia Stock Exchange. This research is uses secondary data from the Indonesia Stock Exchange listed company and list of companies that had been rated by PT Pefindo in 2014-2018. While the sampling method selection uses purposive sampling and the results are 15 non-financial service companies. The regression model is using an ordered logistic regression by IBM SPSS 23 version software. The research result shows that Current Ratio, Return on Total Assets, and Company Size partially have a significant influence on Bonds Rating. While Leverage has no significant influence on Bonds Rating.

Public companies that have shares on the Indonesia Stock Exchange (IDX) must submit their annual financial reports in a timely manner. This annual report contains significant information about the company's progress and performance for one year. Therefore, delays in submitting the report can have a negative impact, especially on investor confidence and internal parties of the company (IDX). The timeliness of publication of financial reports, namely profitability, leverage, and liquidity, in property and real estate sector companies listed on the Indonesia Stock Exchange between 2020 and 2022. This study has a quantitative approach. The study population includes all property and real estate companies listed on the Indonesia Stock Exchange. The research sample was selected using the purposive sampling method, namely by selecting samples that meet certain criteria, and the total number of samples taken was 13 companies from the 2020-2022 period. The results of this study indicate that the variable test of the profitability, leverage, and liquidity ratios in property and real estate sector companies listed on the Indonesia Stock Exchange in 2020-2022 shows that these factors do not have a significant effect on the timeliness of publication of financial reports.

This study examines the effect of leverage on the profitability of PT Pabrik Kertas Tjiwi Kimia Tbk during the 2020–2024 period. Using a causal research method with secondary data obtained from financial reports published on the Indonesia Stock Exchange (IDX), the study analyzes the relationship between Debt to Equity Ratio (DER) as the leverage indicator and Return on Assets (ROA) as the profitability indicator. The results indicate a significant negative relationship between leverage and profitability. Increased DER is associated with a decrease in ROA, suggesting that excessive debt reduces financial performance due to higher interest costs and financial risks. This study contributes to the understanding of leverage's impact on profitability in the manufacturing sector, offering valuable insights for corporate management, investors, and academics. Recommendations include enhancing operational efficiency and optimizing debt management strategies to improve long-term profitability

A company is an entity consisting of individuals or groups who work together to achieve certain goals. PT Suparma cannot be separated from businesses that aim to gain profits in generating effectiveness and efficiency in financial management. Financial management or financial performance has an impact on the company. This research aims to determine the effect of liquidity ratios, solvency ratios and activity ratios on the financial performance of PT Suparma tbk for the 2019-2023 period. This research was conducted by calculating the financial ratios of PT Suparma Tbk which is listed on the Indonesia Stock Exchange. The data analysis technique uses multiple linear regression. The research results show that the liquidity ratio calculated using the current ratio has a positive and insignificant effect on financial performance (ROA), the solvency ratio calculated using the debt to equity ratio has a negative and insignificant effect on financial performance (ROA), and the activity ratio calculated using total asset turnover has a positive and significant effect on financial performance.    

This research aims to conduct empirical tests regarding the influence of financial distress, profitability, leverage, and liquidity on going concern statement in energy sector companies on the IDX in 2020-2023. This research uses 4 independent variables in the form of financial distress as measured by the Altman z-score, profitability as measured by return on assets, leverage as measured by the debt to asset ratio, and liquidity as measured by the current ratio. The dependent variable is a going concern statement with measurement using a dummy variable. The sampling technique used was a purposive sampling method which was based on certain criteria so that 53 companies were obtained and a total of 212 data. Data testing used logistic regression analysis and IBM SPSS Statistics version 26 software for data processing. The results of this study indicate that the variables of financial distress, profitability, leverage, and liquidity have a simultaneous effect on the going concern statement.

This research was conducted to determine the effect of liquidity, profitability, leverage, and firm size on dividend policy in oil, gas, and coal subsector companies listed on the the Indonesia Stock Exchange (IDX) in 2020-2023. This research uses 4 independent variables in the form of liquidity which is measured by the current ratio, profitability which is measured by the return on assets, leverage which is measured by the debt to equity ratio, and firm size which is measured by ln.total assets. The dependent variable is dividend policy, measured using the dividend payout ratio. The population in this research is 85 oil, gas, and coal subsector companies registered on the IDX in 2020-2023. Sampling used purposive sampling technique. The total research sample was 14 companies with 56 financial report data tested using multiple linear regression analysis. The results of the research that has been conducted show that profitability has an effect on dividend policy, while liquidity, leverage, and firm size have no effect on dividend policy.

Image denoising is a fundamental challenge in image processing, where the objective is to remove noise while preserving critical image features. Traditional denoising methods, such as Wavelet, Total Variation (TV) minimization, and Non-Local Means (NLM), often struggle to maintain the topological integrity of image features, leading to the loss of essential structures. This study proposes a Cubical Persistent Homology-Based Technique (CPHBT) that leverages persistence barcodes to identify significant topological features and reduce noise. The method selects filtration levels that preserve important features like loops and connected components. Applied to digit images, our method demonstrates superior performance, achieving a Peak Signal-to-Noise Ratio (PSNR) of 46.88 and a Structural Similarity Index Measure (SSIM) of 0.99, outperforming TV (PSNR: 21.52, SSIM: 0.9812) and NLM (PSNR: 22.09, SSIM: 0.9822). These results confirm that cubical persistent homology offers an effective solution for image denoising by balancing noise reduction and preserving critical topological features, thus enhancing overall image quality.