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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.

Penelitian ini bertujuan untuk mengetahui pengaruh profitabilitas, leverage dan growth terhadap kebijakan deviden pada perusahaan LQ45 yang terdaftar di Bursa Efek Indonesia (BEI) periode 2016-2022. Jumlah sampel yang digunakan dalam penelitian ini adalah 12 perusahaan LQ45 dengan total 84 sampel pengamatan yang diperoleh dengan menggunakan metode purposive sampling.  Data pada penelitian ini diolah dan diuji dengan menggunakan metode analisis regresi berganda. Hasil penelitian ini adalah profitabilitas berpengaruh positf dan signifikan terhadap kebijakan deviden. Leverage berpengaruh positif dan tidak signifikan terhadap kebijakan deviden. Growth berpengaruh negatif dan tidak signifikan terhadap kebijakan deviden This research aims to determine the effect of profitability, leverage and growth on dividend policy in LQ45 companies listed on the Indonesia Stock Exchange (BEI) for the 2016-2022 period. The number of samples used in this research was 12 LQ45 companies with a total of 84 observation samples obtained using the purposive sampling method.  The data in this study were processed using and tested using the multiple regression analysis method. The results of this research are that profitability has a positive and significant effect on dividend policy. Leverage has a positive and insignificant effect on dividend policy. Growth has a negative and insignificant effect on dividend policy

The research carried out has the aim of knowing the effect of the variables Leverage, Activity, and Company Size, on Earnings Growth. the sample taken as research material is the Property and Real Estate Sector companies that have entered the Indonesia Stock Exchange (IDX) for the 2019-2023 period. The sample was selected by considering the use of the purposive sample method. The research conducted utilizes multiple linear regression analysis methods with the Statistical Pakcage for the Social Science (SPSS) Version 25 program. The findings in this research explain that debt equity ratio and company size have no effect on profit growth, while total asset turnover affects profit growth.

This research is motivated by the drastic decline in stock prices of technology companies in 2022, which reflects heavy financial pressure and deteriorating financial performance until June 2023. This condition raises the potential risk of financial crisis or financial distress. This study aims to examine the effect of cash flow operating, leverage, liquidity, and profitability on financial risk in technology subsector manufacturing companies listed on the IDX during the 2020-2023 period. A quantitative approach with secondary data of company financial reports that have been audited and published by the IDX is used in this study. The purposive sampling technique was applied to select 19 companies as samples from a total of 49 companies. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with Smart PLS software. The results of this study indicate that cash flow operating has no significant effect on financial distress (p> 0.05). In contrast, leverage has a significant positive effect (p < 0.05), while liquidity (current ratio) and profitability (ROA) have a significant negative effect on financial distress (p < 0.05). High leverage increases financial risk, while high liquidity and profitability can reduce the risk of financial distress in technology companies.

This research aims to determine the influence of Loan Deposit Ratio (LDR), Liquidity Reserve Requirement Ratio (LRRR), Leverage, and Company Size on Window Dressing. The independent variables in this research are Loan Deposit Ratio (LDR), Liquidity Reserve Requirement Ratio (LRRR), Leverage, and Company Size. The dependent variable in this research is Window Dressing. This research uses secondary data obtained from the company's annual financial reports and quarterly reports, accessed via the website www.idx.co.id. The population in this study was 46 conventional general banking companies listed on the Indonesia Stock Exchange for the 2018-2022 period. Determining the sample for this research used purposive sampling based on certain criteria and obtained a sample of 40 conventional general banking companies. The data analysis technique was carried out using multiple linear regression using SPSS tools. The independent variables in this research are Loan Deposit Ratio (LDR), Liquidity Reserve Requirement Ratio (LRRR), Leverage, and Company Size. The results of this research are that company size influences Window Dressing. Meanwhile, Loan Deposit Ratio (LDR), Liquidity Reserve Requirement Ratio (LRRR), Leverage have no effect on Window Dressing

Stock returns are the results obtained from stock investments. Financial performance is said to have a big influence on stock returns, therefore it is necessary to pay attention to information and carry out an analysis of the condition of the company's financial statements using financial ratios. The aim of this research is to determine the influence of Liquidity, Leverage, Activity and Profitability on stock returns both partially and simultaneously. The company population in this study was 15 companies and 65 samples, using secondary data and purposive sampling techniques with the results of annual financial reports of manufacturing companies in various industrial sectors listed on the BEI for the 2018-2022 period. Data analysis in this research uses descriptive analysis, classical assumption tests consisting of data normality tests, multicollinearity tests, autocorrelation tests and heteroscedasticity tests, multiple regression tests and hypothesis tests consisting of t tests, F tests and coefficient of determination tests. Based on the results of this research, it shows that liquidity and leverage have a significant effect on stock returns. Activity and profitability have no effect on stock returns. And Liquidity, Leverage, Activity and Profitability simultaneously have a significant effect on stock returns.

This research investigates the impact of macroeconomic fundamentals on financial performance and capital structure, with earnings management and firm characteristics as intervening variables, focusing on manufacturing companies listed on the Indonesia Stock Exchange. The macroeconomic fundamentals analyzed include inflation, exchange rates, GDP, and interest rates, which are hypothesized to affect stock returns. Capital structure is measured by the debt-to-equity ratio and the debt-to-asset ratio. Financial leverage is gauged using the interest coverage ratio and the debt-to-operating income ratio. Firm characteristics encompass the company's age, the number of board commissioners, the number of directors, and the number of audit committee members. Financial performance is evaluated using indicators such as EBIT, DFL, DOL, DPR, asset turnover, and EPS growth. The research employs a quantitative method with data analysis conducted using Smart PLS. The results indicate that financial leverage significantly influences firm characteristics and capital structure but does not significantly impact financial performance. Macroeconomic fundamentals significantly affect firm characteristics but do not significantly impact financial performance, earnings management, or capital structure. Firm characteristics significantly influence financial performance but not earnings management. Capital structure significantly affects earnings management but does not significantly impact financial performance. This study aims to provide insights for decision-makers to enhance company financial performance through effective management of capital structure and earnings management.

This investigation was conducted to examine the impact of liquidity ratios and solvency ratios on the profitability ratio of PT Apexindo Pratama Duta Tbk. Using quantitative methods, this investigation seeks to ascertain the company's capacity to manage its liquidity and solvency aspects, it is anticipated to have a favorable effect on profitability. The results of the analysis show that although the company shows good liquidity, the high level of leverage and difficulty in generating average profits indicates challenges in managing profitability. This research recommends that companies focus more on debt management and optimizing funding structures to increase their profitability. More investigation is required to understand other elements that may influence the financial performance of these companies, as well as to identify strategic steps to increase the company's profitability in the future.

This research aims to determine the effect of leverage, company size and retention ratio on company value in banking companies listed on the Indonesian Stock Exchange during the 2020-2023 period. The population taken and used in this research is annual data from 45 companies for four (4) periods totaling 180 data. This research uses the Eviews 12 analysis tool. Applying the Multiple Regression Analysis research method with the data type in the form of panel data with a Fixed Effect Model. The results of this company value research show that leverage and company size have a significant effect on company value, while the retention ratio has an insignificant effect on company value.

Investment is a tool to earn income in the future. With so much uncertainty in generating income, it encourages someone to do something that will benefit themselves in the future. So that those who invest in the right way will feel calm about facing the lives of themselves and their families in the future. For investors, this research involved 54 companies and 11 companies were selected as samples through purposive sampling. The data analysis tools used in this research are classical assumption testing, multiple linear regression analysis, correlation analysis, coefficient of determination analysis, and hypothesis testing. The results of this research indicate that partially the Liquidity, Activity Ratio and Profitability variables have a significant effect on share prices. Leverage has no significant effect on stock prices. Simultaneously, the ratio variables Liquidity, Leverage, Activity and Profitability have a significant influence on Share Prices of 88.2% and the remaining 11.8% is influenced by other variables.

This research aims to analyze the financial performance of PT. Unilever Indonesia Tbk during the period of 2022-2023 using financial ratios. The method used is the analysis of liquidity, solvency, and profitability ratios towards the company's financial statements. The results show that in terms of liquidity, the company's ability to meet short-term obligations is still poor and tends to deteriorate. Meanwhile, the company's leverage level is quite high, exceeding industry standards. However, in terms of profitability, the performance of PT Unilever Indonesia is quite encouraging with profit margin, return on investment, and return on equity ratios above industry standards. Overall, despite its high profitability, the company needs to improve its liquidity and capital structure to maintain long-term business continuity.

Background: Audit delay represents a critical factor affecting the timeliness of financial reporting and information usefulness for decision-making. The property and real estate sector faces unique challenges in audit processes due to complex asset valuations, project accounting, and regulatory requirements, making audit delay a significant concern for stakeholders. Objective: This study aims to examine the effect of firm size, leverage, and audit quality on audit delay in property and real estate companies listed on the Indonesia Stock Exchange (IDX). Methods: This quantitative study employed multiple regression analysis using a sample of 65 property and real estate companies listed on IDX during 2020-2024, resulting in 325 firm-year observations. Audit delay was measured as the number of days between fiscal year-end and audit report date. Independent variables included firm size (natural logarithm of total assets), leverage (debt-to-equity ratio), and audit quality (Big 4 auditor dummy). Control variables encompassed profitability, company age, and audit opinion type. Results: The findings reveal that firm size has a significant negative effect on audit delay (β = -8.743, p < 0.01), indicating that larger companies experience shorter audit delays. Leverage shows a significant positive effect on audit delay (β = 4.562, p < 0.05), suggesting that higher leverage increases audit complexity and duration. Audit quality demonstrates a significant negative effect on audit delay (β = -12.385, p < 0.01), confirming that Big 4 auditors complete audits more efficiently. The model explains 68.4% of the variance in audit delay (R² = 0.684). Conclusion: Firm characteristics and audit quality significantly influence audit delay in the property and real estate sector. Companies should focus on maintaining optimal capital structure, engaging high-quality auditors, and leveraging size advantages to minimize audit delay and enhance financial reporting timeliness.

This research is motivated by the existence of a high level of public trust in banking is closely related to the assessment of banking performance in terms of liquidity ratio analysis. The purpose of the study is to determine the level of bank liquidity and what policies will be carried out by banks against the ratio results. The method used in the research is the literature review method with data in the form of references to evaluate liquidity ratios in banking. The results obtained in this study from Table RQ1 the types of liquidity ratios that are often used in measuring the level of banking liquidity are the quick ratio and cash ratio. While Table RQ2 the advice that can be given is that banks must be able to pay attention and evaluate their assets. So it can be concluded that in general the types of liquidity ratios that are often used to calculate the level of bank liquidity are the quick ratio and cash ratio and further banking policy suggestions to use more diverse types of liquidity ratios. Ajmadayana, C. P., Akmalia, Z., & Hasibuan, A. F. (2022). Analisis Rasio Likuiditas dan Solvabilitas pada Bank Muamalat Indonesia Periode 2019-2020. Jurnal Ekobistek, Volume 11 No.3, 179-185. Fathurrahman. (2022, March). Banking Perfomance Analysis Based On Liquidity Ratio. Nusantara Hasana Journal, Vol.1 No.10, 141-145. Harahap, & Safitri, S. (2015). Analisis Kritis Atas Laporan Keuangan. Jakarta: PT. Rajagrafindo Persada. Harianto, S. (2017). Rasio Keuangan dan Pengaruhnya Terhadap Profitabilitas Pada Bank Pembiayaan Rakyat Syariah di Indonesia. Jurnal Bisnis dan Manajemen, 41-48. Iryani, L. D., & Herlina. (2015). Analisis Rasio Likuiditas, Solvabilitas, dan Profitabilitas dalam Mendukung Pembiayaan pada PT. Bank Danamon Indonesia, Tbk. Jurnal Ilmiah Akuntansi Fakultas Ekonomi, Volume 1 No. 2, 32-40. Jumingan. (2006). Analisis Laporan Keuangan. Jakarta: Bumi Aksara. Kasmir. (2015). Bank dan Lembaga Keuangan Lainnya. Jakarta: PT Raja Grafindo Persada. Kasmir. (2017). Analisis Laporan Keuangan. Jakarta: PT. Rajagfrindo Persada. Khotimah, I. C. (2021). Analisis Dampak Pandemi Covid-19 Bagi Rasio Likuiditas Bank Bukopin Syariah. Jurnal LARIBA Jurnaal Perbankan Syariah, Vol. 2 No. 02, 28-41. Masita, N., Hariatih, & Nianty, D. A. (2023). Analisis Kinerja Keuangan Menggunakan Rasio Likuiditas dan Profitabilitas pada PT. Bank Rakyat Indonesia (Persero) Tbk. Jurnal Manajemen dan Akuntansi, Vol. 1 No. 2, 203-214. Nurul, Suharti, T., & Nuhayati, I. (2020, Mei). Analisis Kinerja Keuangan Berdasarkan Rasio Likuiditas, Solvabilitas, dan Rentabilitas Pada Sektor Perbankan. Jurnal Ilmu Manajemen, Vol.3 No.2, 146-159. Ottay, M. C., & Alexander, S. W. (2015). Analisis Laporan Keuangan Untuk Menilai Kinerja Keuangan Pada PT. BPR Citra Dumoga Manado. Jurnal EMBA, Volume 3 No.1, 923-932. Pangemanan, I. W., Karamoy, H., & Kalalo, M. (2017). Analisis Rasio Likuiditas, Leverage dan Profitabilitas Untuk Menilai Kinerja Keuangan Pada PT. Bank Central Asia, Tbk. Cabang Manado. Jurnal Riset Akuntansi Going Concern, Volume 12 No. 2, 25-34. Permana, I. S., Halim, R. C., Nenti, S., & Zein, R. N. (2022). Analisis Rasio Likuiditas, Solvabilitas, dan Profitabilitas dalam Mendukung Pembiayaan pada PT. Bank Danamon Indonesia, Tbk. Jurnal Aktiva: Riset Akuntasi dan Keuangan, Volume 3 No.3, 132-139. Ramadhanty, T. N., Musriha, & Noviandri, I. (2021). Analisis Rasio Keuangan terhadap Kinerja Keuangan pada PT.Bank Pembangunan Daerah Jawa Barat dan Banten, Tbk. Jurnal Ekonomi dan Bisnis, Volume 1 Nomor 3, 183-188. Setia, I., Clasissa, R., Nenti, S., & Zein, R. N. (2022). Analisis Kinerja Keuangan dengan Menggunakan Rasio Likuiditas, Solvabilitas, dan Profitabilitas pada PT. Bank BNI (Persero) Tbk. Jurnal Aktiva: Riset Akuntansi dan Keuangan, Vol.3 No.3, 132-139. Sihombing, C., Damanik, E. O., & Sriwiyanti, E. (2019). Pengaruh Rasio Likuiditas Terhadap Kinerja Keuangan Pada PT. Bank Perkreditan Rakyat Eka Prasetya Pematangsiantar. Jurnal of Accounting USI, Volume 1 No. 1, 12-22.  

The purpose of this research are determine to (1) the influence leverage which is notated withDebt Equity Ratio  and profitability which is denoted byReturn On Equity to share prices. (2) Role of Price Earning Ratio in moderating the between Debt Equity Ratio and Return On Equity into stock prices. The research object is technology sector companies listed on the Indonesia Stock Exchange during 2021 and 2022. Was conducted using the SmartPLS tool with results (1)Debt Equity Ratio (THE) has a significant negative influence on stock prices (2)Return On Equity (ROE) has a significant positive influence on stock prices (3)Price Earning Ratio (PER) can’t moderate the influence Debt Equity Ratio to the stock price. (4)Price Earning Ratio (PER) can moderate the influenceReturn On Equity to the stock price.

This study aims to explore the relationship between financial ratios, financial distress, and sales growth rates. The population used is made up of all consumer products industry sector companies that are registered on the Indonesia Stock Exchange between 2018 and 2020. Purposive sampling was used to select and collect 39 company samples in total. The investigation hypothesis was evaluated using logistic regression analysis. This study shows how financial ratios and sales growth both have a significant impact on financial distress. Meanwhile, show to some extent that leverage and profitability have a significant influence on financial hardship, but liquidity and sales growth do not.

The aim of this research is to determine the effect of Return on Assets (ROA) and Debt to Equity Ratio (DER) on Financial Distress in Manufacturing Companies in the Consumer Goods Industry Sector for the 2020-2022 period. The measure of Financial Distress used is the Altman Z-score. The method used in this research is descriptive research with a quantitative approach, using multiple linear regression analysis. The population of manufacturing companies in the Consumer Goods industry sector listed on the Indonesian Stock Exchange in 2020-2022 is 201 companies. The sampling technique used was purposive sampling technique, and a sample of 147 companies was obtained. The analysis used was Multiple Linear Regression with data processing tools in the form of SPSS v 19, The results of this research are that the Profitability Ratio proxied by Return on Assets (ROA) has a positive and significant effect on Financial Distress. Meanwhile, Leverage proxied by DER, according to the research results, has a negative and significant effect on Financial Distress.

PT Diamond Food Indonesia Tbk is a company engaged in the food and beverage industry. The company's purpose in general is to increase profitability. However, there are several factors that can affect the profitability. The purpose of this study was to know and analyze the influence of leverage and liquidty on profitability at PT Diamond Food Indonesia Tbk simultaneously and partially. The type of data used is secondary data derived from the Financial Statements of PT Diamond Food Indonesia Tbk for the period 2020 – 2022. The research method used is quantitative descriptive analysis. The analyzer uses multiple linear regression equations, classical asumi tests, Detemination coefficient tests (R²), t tests (partial) and F tests (simultaneous). Data processing used SPSS version 25 program. Variable Leverage is measured using Debt Equity Ratio (DER), Liquidity is measured using the ratio namely Current Ratio (CR) and Profitability is measured using Return On Assets (ROA). Based on the results of the analysis with the t test (partial) shows that the variable leverage partially has no effect on profitability and the variable liquidity partially has a negative effect on profitability. Simultaneously showing variable results Leverage and Liquidity simultaneously have a significant effect on Profitability

This study aims to determine the financial performance of financial resilience in times of crisis of each company engaged in the Food and Beverage (F&B) sector, namely PT Indofood Sukses Makmur Tbk, PT Unilever Indonesia Tbk, and PT Sentra Food Indonesia Tbk during 2019- 2021 through ratio analysis. The data analysis method used is a quantitative descriptive method, namely by collecting, processing, and interpreting the data obtained so that it can provide a clear picture of the situation under study based on the numbers. The result of this study is that the liquidity ratio has a significantly positive effect on financial resilience. While the leverage ratio and profitability ratios have no significant positive effect on financial resilience.