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This study is intended to analyze the implementation of the value for money approach in assessing financial performance at RSUD Kota Tangerang during the period of 2022–2024. The research employs a descriptive quantitative approach using secondary data derived from budget realization reports. This analysis carried out using three main ratios: economy, efficiency, and effectiveness. The findings show that the hospital’s financial performance is categorized as economical, as reflected by economy ratios under 100% throughout the observed year. In terms of effectiveness, performance was considered effective in 2022 and 2023 but declined in 2024, indicating that the revenue target was not fully achieved. Meanwhile, efficiency performance remains suboptimal, as efficiency ratios exceed 100%, suggesting that the costs incurred are higher than the revenue generated. Overall, the hospital demonstrates the ability to manage its budget economically and achieve revenue targets, but still faces challenges in improving resource efficiency. Therefore, efforts are needed to optimize cost management and enhance service productivity to achieve a balance among economy, efficiency, and effectiveness in line with the value for money principles.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

This study aims to analyze the effect of capital structure and financial performance on firm value at PT Elang Mahkota Teknologi Tbk during the period 2015–2024. Capital structure is proxied by the Debt to Equity Ratio (DER), financial performance is measured by Return on Equity (ROE), and firm value is proxied by Price to Book Value (PBV). This research employs a quantitative approach with a descriptive method. The data analysis techniques used include multiple linear regression analysis, t-test, F-test, and coefficient of determination. The results show that capital structure (DER) has a positive and significant effect on firm value, as indicated by a t-statistic of 3.302, which is greater than the t-table value of 2.365, with a significance level of 0.013 (< 0.05). Financial performance (ROE) also has a positive and significant effect on firm value, with a t-statistic of 2.638, exceeding the t-table value of 2.365, and a significance level of 0.034 (< 0.05). Simultaneously, DER and ROE have a significant effect on firm value, as evidenced by an F-statistic of 6.384, which is greater than the F-table value of 4.737, with a significance level of 0.026 (< 0.05). The coefficient of determination indicates that 64.6% of the variation in firm value can be explained by capital structure and financial performance, while the remaining percentage is influenced by other variables outside the research model.

Technological advancements and the rapid growth of globalization have fundamentally changed the way organizations conduct business activities, creating increasingly complex challenges and opportunities in both local and international markets. Organizations are now required to adapt quickly to changing consumer preferences, technological innovation, market competition, and economic uncertainty. In this environment, economics, management, and accounting have become three essential disciplines that play a crucial role in determining organizational effectiveness and long-term sustainability. Economics helps organizations understand market behavior, pricing strategies, supply and demand conditions, and macroeconomic factors that influence business performance. Management focuses on planning, organizing, leading, and controlling resources to ensure operational efficiency and goal achievement. Accounting provides reliable financial information through systematic recording, reporting, and analysis of transactions, enabling organizations to evaluate performance and maintain accountability. This study aims to analyze the relationship between these three disciplines in supporting organizational decision-making processes and improving overall performance. The research employs a literature review method by examining various recent academic books and journal articles. The findings reveal that the integration of economics, management, and accounting strengthens strategic planning, improves resource allocation, enhances financial transparency, and supports sustainable organizational growth in a highly competitive global environment.

This study aims to determine and analyze the effect of the Current Ratio (CR) on Return on Equity (ROE) at PT Kino Indonesia Tbk for the period 2015–2025. This research employs a quantitative approach with an associative research design. The data used are secondary data obtained from the company's annual financial statements. The data analysis techniques include classical assumption tests, simple linear regression analysis, partial t-test, and coefficient of determination (R²). The results show that the Current Ratio has a negative and significant effect on Return on Equity. This is indicated by a regression coefficient value of -0.489 and a significance value of 0.001 (< 0.05). In addition, the coefficient of determination (R Square) is 0.734, which means that 73.4% of the variation in Return on Equity can be explained by the Current Ratio, while the remaining 26.6% is influenced by other factors outside this study. These findings indicate that excessively high liquidity tends to reduce the company’s profitability, suggesting inefficient management of current assets. Therefore, companies need to maintain a balance between liquidity and profitability to improve overall financial performance

Transparency in human resource management has become a strategic issue in modern organizations, particularly through the implementation of salary transparency as part of the broader concept of radical transparency. This study aims to analyze the psychological and managerial impacts of salary information disclosure and its implications for human resource leadership within organizations. The research employs a qualitative approach using a narrative literature review by examining relevant scholarly articles published within the last five years. The findings indicate that salary transparency contributes positively to enhancing employees’ perceptions of fairness and trust; however, it may also generate negative consequences such as social comparison, interpersonal conflict, and decreased job satisfaction if not properly managed. From a managerial perspective, salary transparency promotes greater accountability, strengthens performance evaluation systems, and encourages more open and participative leadership practices. This study contributes by integrating psychological and managerial dimensions into a comprehensive conceptual framework and highlights the importance of organizational readiness in strategically managing transparency policies to achieve effectiveness and sustainability.

ABSTRACT Hospitals can be established by the Central Government, Regional Government, or the Community. Hospital management organized by the Government can apply the financial management pattern of BLU or BLUD. Hospital independence can be achieved through healthy business processes. The dual role of hospitals as public services and business entities. The commercial health sector is increasingly closely linked to the global health industry. Collaboration between BLU hospitals and private business entities is often manifested in KSO contracts. KSO contracts must contain legal principles (rechtbeginselen) which serve as basic norms and guidelines in the formation or creation of legal regulations. The principle of personality in KSO contracts is important to ensure the parties' performance is balanced. This study uses a normative or doctrinal legal research methodology by examining primary legal sources in the form of KSO contracts between BLU hospitals and private business entities, the Civil Code, and other material laws. A study was also conducted on secondary legal sources in the form of legal materials consisting of books or legal journals regarding legal principles, the views of legal doctrines, and the results of legal research. Keywords : Principle of Personality, Public Service Agency, Operational Cooperation Contract.

This study aims to describe the level of service optimization in Financial Institution Pension Funds (DPLK) through the management of periodic pension benefit payments, additional benefits, and voluntary contributions using a descriptive-analytical approach. The data were derived from reports of 24 DPLK administrators collected in April 2026. The findings indicate that service optimization is largely determined by the effectiveness of managing periodic pension payments, other pension benefits, and contributions beyond the core program. This issue becomes crucial when viewed from DPLK performance trends over the past five years (2021–2025), where collected funds—comprising contributions and investment returns—were consistently lower than pension benefit payments, with an average ratio of 63%. This imbalance highlights sustainability concerns. The study identifies significant untapped potential, including Rp5.79 trillion annually (36% of total pension benefits) in periodic payments not yet optimized, Rp2.4 trillion for other benefit programs over 10 years, Rp1 trillion for religious-related funds, and Rp1.2 trillion in voluntary contributions from existing participants. To address these gaps, DPLK institutions need to strengthen regular and personalized communication beyond transactional interactions, ensuring participants are more engaged. Integrated services that emphasize transparent benefits, ease of contribution, continuous financial education, and digital accessibility are essential. Ultimately, optimizing DPLK services requires not only system and product improvements but also attention to participant behavior and service quality to enhance retirement well-being.

This study aimed to analyze the effect of credit risk on profitability with liquidity as a mediating variable in banking companies listed on the Indonesia Stock Exchange (IDX) during 2022–2024. The study employed a quantitative approach with an explanatory research design. Secondary data were obtained from annual financial statements, and the sample consisted of 31 banking companies selected through purposive sampling from a total of 47 companies. The research variables included credit risk as the independent variable, profitability proxied by Return on Assets (ROA) as the dependent variable, and liquidity proxied by the Loan to Deposit Ratio (LDR) as the mediating variable. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) through the assessment of the measurement model and the structural model. The results indicated that credit risk did not affect profitability and did not affect liquidity, while liquidity affected profitability. The findings also demonstrated that liquidity did not mediate the relationship between credit risk and profitability. The study implied that liquidity management played an important role in supporting bank profitability, whereas the influence of credit risk on profitability during the study period was likely driven by other factors outside the proposed model. This study provided empirical evidence on banking performance dynamics in 2022–2024; however, generalization should have been made cautiously due to the limited observation period and the variables included.

Financial performance is an important indicator for assessing the sustainability and growth prospects of a company, where a sustained negative net profit may indicate financial and operational problems (Aminah, 2015). The purpose of this study is to analyze the financial performance of PT GoTo Gojek Tokopedia Tbk for the period 2019-2023 based on NPM, ROA, and ROE. The research method used in this study is a qualitative method with a descriptive analysis approach. The data was sourced from the official website of PT GoTo Gojek Tokopedia Tbk for the period 2019-2023. The results show that all profitability ratios, namely Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE), are in an unfavorable condition and far below the standards set by Bank Indonesia (2004), namely NPM 3%–9.5%, ROA 0.5%–1.25%, and ROE 5%–12.5%. NPM was consistently negative from -276.74% (2019) to -373.12% (2023), indicating that the company has not been able to generate net income from its revenue due to high operating expenses. ROA was also negative throughout the period, ranging from -112.57% (2019) to -167.33% (2023), indicating that assets have not been utilized efficiently. Similarly, ROE recorded negative values from -162.02% (2019) to -253.41% (2023), reflecting that shareholders' capital has not been optimally managed and has not provided returns, so that overall financial performance requires a more effective financial management strategy.

Public companies must maintain sustainability, as it is related to their value. A company's value can be measured by its share price; a higher market price indicates a company's financial performance and investment returns for investors. A phenomenon has been observed in the consumer non-cyclical sector, which experienced declines and fluctuations in value from 2020 to 2024. This phenomenon indicates that falling share prices lead to a decline in company value. This study aims to analyze the influence of Corporate Social Responsibility, Tax Avoidance, and Dividend Policy on Company Value in companies in the Consumer Non-Cyclical sector listed on the Indonesia Stock Exchange during the 2020-2024 period. The study sample consisted of 10 companies with 50 data observations selected using a purposive sampling technique. Data analysis was conducted using panel data regression with the help of EViews 12 software. The results of the study indicate that (1) Corporate Social Responsibility, Tax Avoidance, and Dividend Policy as a whole have an effect on Company Value, (2) Corporate Social Responsibility partially has no effect on Company Value, (3) Tax Avoidance partially has no effect on Company Value, (4) Dividend Policy partially has no effect on Company Value. These findings prove that Corporate Social Responsibility, Tax Avoidance, and Dividend Policy together are able to influence company value, even though each variable does not have an effect on company value.

The rapid growth of beverage franchises in Indonesia, particularly MIXUE with over 4,000 outlets, necessitates an in-depth examination of the financial management strategies underlying its success. This study aims to analyze the effects of working capital management, supply chain support, and operational cost efficiency on financial performance, as well as to evaluate the investment feasibility of the MIXUE franchise in Indonesia. A mixed-methods sequential explanatory approach was employed, utilizing multiple regression analysis and capital budgeting methods including Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Return on Investment (ROI). Data were collected from 50 franchise outlets across Jakarta, Bandung, Surabaya, and Semarang during 2022-2024, supplemented by in-depth interviews with 15 franchisees and 3 regional managers. Results reveal that all three independent variables significantly and positively affect financial performance: working capital management (β = 0.412; p = 0.002), supply chain support (β = 0.358; p = 0.008), and operational cost efficiency (β = 0.486; p < 0.001) with R² = 0.684. Investment feasibility analysis indicates an average positive NPV of IDR 290.1 million, IRR 36.5%, PP 22.2 months, and ROI 56.5%. This study contributes novel insights by integrating financial and supply chain analysis within the context of beverage franchising in emerging Asian markets, providing a comprehensive evaluation framework for prospective investors and franchise system developers.

Dividend payment is an important financial decision that reflects a company’s performance and prospects from the perspective of investors. However, companies included in the LQ45 index still experience fluctuations in dividend payment policies from year to year. This study aims to analyze the effect of leverage, firm size, profitability, and liquidity on dividend payments of companies listed in the LQ45 index on the Indonesia Stock Exchange (IDX) during the 2023–2024 period. This research employs a quantitative approach using secondary data obtained from published financial statements. The sample was selected using a purposive sampling method, resulting in 33 companies with a total of 60 observations. Data analysis was conducted using panel data regression with the assistance of SPSS software. Leverage is measured by the Debt to Asset Ratio (DAR), firm size by the natural logarithm of total assets (LnTA), profitability by Return on Assets (ROA), liquidity by the Current Ratio (CR), and dividend payment by the Dividend Payout Ratio (DPR). The results show that leverage, firm size, profitability, and liquidity simultaneously have a significant effect on dividend payments. Partially, firm size and profitability have a positive and significant effect on dividend payments, while leverage and liquidity do not have a significant effect. These findings indicate that companies with larger firm size and higher profitability tend to have a greater ability to distribute dividends to investors.

The rapid development of information technology requires adaptation across various business sectors, including small and medium enterprises (SMEs). BUMDes Poto Bo’o, located in Wolotopo Village, Ndona Timur District, still manages sales data manually using ledger books. This practice leads to several issues, such as data inaccuracies, lack of automatic inventory updates, and delays in report generation.This study aims to design and implement a basic necessities (sembako) sales information system for the BUMDes. The system development method used is the waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system is developed using PHP programming language and MySQL database.The main features of the system include product management, customer management, transaction processing, tracking of incoming and outgoing goods, and real-time sales reporting. The results show that the developed information system improves transaction recording accuracy, enhances inventory data accuracy, and accelerates the sales reporting process.Therefore, the system is expected to improve the operational efficiency of BUMDes Poto Bo’o, support financial management transparency, and increase public trust in the performance of the village-owned enterprise.

The Fréchet distribution is one of the commonly used Extreme Value Distributions (EVDs) in statistical modeling and heavy-tailed data analysis, where it plays an important role in describing product lifetimes as well as climatic and financial phenomena. The estimation of its two parameters, namely the shape parameter and the scale parameter, is traditionally based on the Maximum Likelihood Estimation (MLE) method. However, maximizing the likelihood function for this distribution involves numerical difficulties, which necessitates the use of numerical optimization methods. In this study, we propose the use of the Aquila Optimizer (AO), a recent metaheuristic algorithm inspired by the hunting behavior of eagles, as an efficient numerical tool for maximizing the likelihood function of the Fréchet distribution. The objective function was formulated as the negative log-likelihood function (-LogL), and the Aquila Optimizer was employed to obtain the optimal estimates of the distribution parameters. Several simulation experiments with different sample sizes were conducted to compare the performance of the proposed method with a conventional approach represented by the Nelder–Mead method, using the Mean Squared Error (MSE) criterion. The simulation results demonstrated that the Aquila Optimizer outperformed the Nelder–Mead algorithm in many cases, although the superiority was slight. The results also showed that both algorithms were consistent, as their MSE values decreased with increasing sample size. In addition, a practical application was carried out using real data, and the results of the survival function estimation indicated a good fit.

Micro, Small, and Medium Enterprises (MSMEs) constitute the backbone of Indonesia's national economy, contributing approximately 61% of GDP and absorbing 97% of the total workforce; however, the majority of MSME actors, particularly in eastern Indonesia, continue to face structural barriers in digital technology adoption and capital access that constrain optimal business performance. This study aims to analyze the partial and simultaneous effects of marketing digitalization and business capital on MSME performance in Ambon City. A quantitative approach with associative-causal design was employed, involving 30 respondents selected through purposive sampling from active MSME operators in Ambon City. Data were collected via a five-point Likert scale questionnaire and analyzed using multiple linear regression with IBM SPSS version 26, preceded by validity, reliability, and classical assumption tests. Results demonstrate that marketing digitalization exerts a positive and significant partial effect on MSME performance (t = 8.060; sig. = 0.000; β = 1.061), establishing it as the most dominant predictor in the model. Conversely, business capital shows no significant partial effect (t = 0.746; sig. = 0.462), attributable to the homogeneity of capital access among MSME actors in archipelagic regions. Simultaneously, both variables significantly influence MSME performance (F = 287.070; sig. = 0.000), with an exceptionally high R Square of 0.955, indicating that 95.5% of performance variance is collectively explained by the two predictors. These findings underscore the critical role of digital marketing capabilities over financial resources alone in archipelagic contexts. It is recommended that the Ambon City Government integrate digital marketing literacy training programs synergistically with inclusive financing schemes to comprehensively strengthen MSME competitiveness across the Maluku archipelago.

This study aims to analyze the effect of green accounting and carbon emission disclosure on firm value in palm oil sector issuers listed on the Indonesia Stock Exchange (IDX) and participating in the PROPER program during the 2020–2024 period. Green accounting is proxied using the PROPER rating, which reflects a company's environmental management performance, while carbon emission disclosure is measured based on the level of carbon emission disclosure in the company's annual report or sustainability report. This study uses a quantitative approach with panel data regression analysis. The sampling technique used was purposive sampling, with the criteria being palm oil companies listed on the IDX, participating in PROPER, and consistently publishing annual reports throughout the study period. The data used are secondary data obtained from financial reports, sustainability reports, and official publications related to PROPER. The results are expected to show that the implementation of green accounting has a positive effect on firm value, as it reflects the company's commitment to sustainability and increases investor confidence. Furthermore, carbon emission disclosure is expected to have a positive effect on firm value, depending on market perception and the quality of environmental information disclosure. This research is expected to contribute to the development of environmental accounting literature and serve as a reference for regulators, investors, and company management in improving transparency and environmental performance to create sustainable corporate value.

This study aims to analyze the influence of internal company factors, including company size, networking capital, operating efficiency, liquidity, and leverage, on financial performance, proxied by Return on Assets. The research population includes 40 food & beverage subsector companies listed on the Indonesia Stock Exchange during the 2019–2024 period. Using purposive sampling, 17 sample companies were selected, yielding a total of 102 data observations. This study adopts a quantitative approach, using secondary data obtained from the company's annual financial statements. Data analysis was performed using multiple linear regression to identify partial and simultaneous influences between variables. Empirical findings show that not all internal factors exert a uniform influence on financial performance, as some variables have been shown to have a significant influence, while others do not show a statistically significant relationship. These results have important implications for managers and investors in formulating internal management strategies to drive sustainable profitability

Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline, a comparable Long Short-Term Memory (LSTM) network, a Bahdanau end-attention GRU (Attn-GRU-V2), and a multi-head self-attention GRU hybrid (Attn-GRU-V3). Each architecture is trained over 30 independent runs with distinct random seeds, and performance is reported as 95% confidence intervals derived from the t-distribution. Statistical comparisons employ the Wilcoxon signed-rank test, a nonparametric paired test appropriate given the confirmed non-normality of residuals. The main finding is a consistent trade-off: the plain GRU achieves the lowest RMSE (94.02 ± 1.22 IDR) across all 30 runs, while Attn-GRU-V2 achieves the highest directional accuracy (45.91 ± 0.09%), surpassing GRU in every independent run. Bahdanau attention weights are nearly uniform across the 30-day lookback window (coefficient of variation: 3.21%), indicating that the mechanism cannot identify selectively informative timesteps in this univariate price series. This finding is consistent with the weak-form Efficient Market Hypothesis for the Indonesian market. An ablation study reveals that a 20-day lookback window maximizes directional accuracy (47.72 ± 0.21%) for the Attn-GRU-V2 model. These results suggest that Bahdanau end-attention consistently and significantly improves directional accuracy relative to a plain GRU baseline, providing an architecturally attributable advantage for direction-based applications, even when absolute price-level error is not reduced. The directional accuracy values remaining below 50% across all models are consistent with a weak-form efficiency characterization of the Indonesian market.

This study aims to analyze and provide empirical evidence on the influence of financial performance on corporate social responsibility (CSR) in healthcare companies listed on the Indonesia Stock Exchange (IDX) during 2020-2024. This quantitative research employs a descriptive explanatory causality approach to examine the relationships between variables. The sample consists of 19 companies selected through purposive sampling, resulting in 95 observations. Data were analyzed using multiple linear regression. Classical assumption tests indicate that the data are normally distributed, while initial autocorrelation issues were addressed using the Cochran Orcutt approach, after which no violations of autocorrelation, multicollinearity, or heteroscedasticity were detected. The results show that return on assets (ROA), current ratio (CR), and net profit margin (NPM) simultaneously influence CSR. Partially, ROA has a negative and significant effect, while CR and NPM have positive and significant effects on CSR. This study contributes to legitimacy theory by providing empirical evidence of the role of financial performance in CSR disclosure within the Indonesian healthcare sector, while the negative effect of ROA offers additional insight into going concern theory. Practically, companies are advised to maintain liquidity levels between 150%-300% and optimize profit margins to support CSR strategies, while investors may use financial ratios as indicators to predict CSR performance.