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Using Non Performing Financing (NPF) as a moderating variable, this study looks at how profit sharing and profit margin financing affect the effectiveness and stability of Islamic banks in Indonesia. The primary topic discussed is how various Islamic financing arrangements affect the operational effectiveness and financial stability of banks, as well as whether credit risk enhances or diminishes these connections. This study aims to examine the direct impacts of financing modalities as well as the moderating influence of NPF on the performance of Islamic banks. Based on secondary data from eight Islamic banks in Indonesia between 2018-2024, this study employs a quantitative methodology using panel data regression and Moderated Regression Analysis (MRA). The findings indicate that while profit margin financing has no discernible impact on efficiency, profit sharing financing has a favorable and considerable impact. Profit margin financing has a negative and negligible impact on stability, whereas profit sharing financing has a positive but negligible impact. Additionally, by changing the direction of influence, NPF significantly moderates the association between profit sharing financing and both efficiency and stability. However, it does not significantly moderate the effect of profit margin financing on efficiency, but it does on stability. In summary, the effectiveness of Islamic financing is heavily reliant on risk management, especially credit risk control, where NPF is a key factor in evaluating whether financing can improve stability and efficiency in Islamic banks.

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

This study to analyze the effect of Non Performing Loan (NPL), Capital Adequacy Ratio (CAR), and Net Interest Margin (NIM) on Return on Assets (ROA) with Operating Expenses to Operating Income (BOPO) as an intervening variable at PT Bank Rakyat Indonesia (Perser) Tbk. This research employs a quantitative approach using secondary data obtained from the annual financial statements of Bank BRI for the period 2015-2024. The data analysis method used in this study is Structural Equation Modeling (SEM) based on Partial Least Squares (PLS), which allows the examination of both direct and indirect relationship among variables in the research model. The independent variables consist of NPL, CAR, and NIM, the intervening variable is BOPO and the dependent variable is ROA. The results indicate that NPL has a positive effect on BOPO, suggesting that higher credit risk leads to increased operational costs. CAR and NIM have a negative effect on BOPO, indicating that adequate capital and effective interest income management improve operational efficiency contributes to increased bank profitability. The findings also confirm that BOPO mediates the relationship between NPL, CAR, and NIM on ROA. This study is expected to contribute to the academic literature on banking financial management and provide practical insights for bank management in enhancing operational efficiency and sustainable profitability.

Cooperatives play a significant role in Indonesia’s economic system because they aim to enhance member welfare through collective ownership and cooperative principles. To maintain accountability, cooperatives are required to prepare financial reports following the Financial Accounting Standards for Entities Without Public Accountability (SAK ETAP). This study examines how SAK ETAP is applied in the financial reporting practices of Koperasi Simpan Pinjam (KSP) Mandiri Sejahtera, Comal Branch. Using a qualitative descriptive method with a case study approach, data were gathered through interviews and an analysis of the 2022 financial statements. The results indicate that although the cooperative has implemented several elements of SAK ETAP, full compliance has not been achieved due to limited human resources and the absence of an integrated reporting system. Nevertheless, the preparation of PPAP reports reflects prudence in managing credit risk and highlights the need for digital systems and improved accounting skills to strengthen transparent and accountable financial management.

This study aims to analyze the financial risk management strategy of PT. Chandra Asri based on the company's 2024 annual report. As the largest petrochemical company in Indonesia, PT. Chandra Asri faces multiple financial risks including market volatility, credit exposure, liquidity constraints, operational disruptions, and systemic shifts due to global energy transitions. Using a qualitative descriptive approach grounded in the ISO 31000 framework, the study examines how the company identifies, assesses, responds to, and monitors each risk category. The findings reveal that while hedging, credit controls, and liquidity management systems are in place, the decline in net income and working capital indicates areas that require stronger adaptation. Additionally, the study highlights the company's strategic shift toward sustainable practices in response to systemic risks. PT. Chandra Asri's integration of sustainability into its risk management strategy showcases a forward-thinking approach, acknowledging the importance of both financial resilience and environmental responsibility. This research contributes to the understanding of risk management practices in the petrochemical sector and provides valuable insights for developing resilient financial strategies amidst global economic uncertainty. It also offers practical recommendations for improving risk management frameworks, ensuring long-term growth and stability in an increasingly volatile global market

This study aims to analyze the effect of liquidity and credit risk on the profitability of banks listed on the Indonesia Stock Exchange (IDX) during the period 2018–2022. Profitability is measured by Return on Assets (ROA), liquidity is proxied by the Loan to Deposit Ratio (LDR), while credit risk is measured using the Non-Performing Loan (NPL) ratio. The research employs a quantitative approach with multiple linear regression analysis to test the partial and simultaneous influence of the independent variables on profitability. Data were obtained from the annual financial reports of banks published on the IDX, covering a five-year observation period. The results of the analysis show that credit risk, as measured by NPL, has a significant negative effect on bank profitability. This finding reflects that the higher the NPL ratio, the lower the bank’s ability to generate returns on assets, emphasizing the importance of effective credit quality management. In contrast, the liquidity level measured by LDR demonstrates a positive but statistically insignificant effect on ROA. This suggests that although liquidity plays a role in supporting banking operations, its direct impact on profitability is relatively weak when considered independently. However, when examined simultaneously, both credit risk and liquidity significantly affect bank profitability. These findings imply that effective credit risk management is a crucial determinant of financial performance in the banking sector. High levels of non-performing loans can erode bank profits, while optimal liquidity management supports operational efficiency, even if its impact is not strongly significant in isolation. From a managerial perspective, banks need to strengthen monitoring of loan quality, implement more prudent credit policies, and adopt sustainable liquidity strategies to enhance profitability. For regulators, the results highlight the importance of supervising asset quality and ensuring adequate liquidity management in the banking system. This study contributes to the literature on banking performance by providing empirical evidence on the interaction between credit risk, liquidity, and profitability in the Indonesian banking sector.

Profitability, measured by Return on Asset (ROA), is a key indicator for assessing the performance and resilience of the banking sector. During the 2019–2023 period, the Indonesian banking sector faced significant pressure from the COVID-19 pandemic, which impacted asset quality and financial performance. This study aims to analyze the simultaneous and partial effects of Non-Performing Loan (NPL), the BI Rate, inflation, Net Interest Margin (NIM), and Capital Adequacy Ratio (CAR) on the ROA of commercial banks in Indonesia. This research employs a quantitative approach using monthly secondary data from 2019 to 2023. The analysis was conducted using Robust Least Squares (RLS) with M-estimation, a Wald test for simultaneous significance, and a z-statistic for partial tests. The results indicate that, simultaneously, the five independent variables have a significant effect on ROA with a significance value of 0,000 and a coefficient of determination of 67,1 percent. Partially, NPL has a significant negative effect on ROA, while NIM, CAR, and inflation have significant positive effects. The BI Rate shows no significant influence. The implications of these findings highlight the managerial importance of strengthening credit risk management to control NPL, enhancing intermediation efficiency to maintain a healthy NIM, and preserving capital adequacy. From a policy perspective, these results justify the continued strengthening of prudential supervision over banks' internal ratios by financial authorities. Furthermore, the insignificance of the BI Rate suggests that the monetary policy transmission to bank profitability is indirect, necessitating a focus on internal factors to maintain the stability of the banking sector.

Profitability represents a bank's capability to evaluate how effectively its management generates profits. This study seeks to explore and determine the influence of liquidity, capital adequacy, operational risk, and credit risk on bank profitability. The research focuses on banking institutions listed on the Indonesia Stock Exchange over the 2021–2023 period. The study utilizes quantitative data obtained from secondary sources, specifically financial statements published by the respective banks. A total of 32 banks were selected as research samples through purposive sampling. The study adopts a non-participant observation approach, and the data were processed using multiple linear regression analysis. The results indicate that liquidity has a positive yet statistically insignificant effect on profitability, capital adequacy has a significant negative effect, operational risk shows a negative but non-significant influence, and credit risk has a significant negative impact on bank profitability.

The study was conducted as an analysis of the impact of liquidity risk, credit risk, operational risk, asset growth, and net interest margin on financial performance. This study consists of five independent variables consisting of liquidity risk with a proxy for the Loan to Deposit Ratio, credit risk proxied by NonPerforming Loan, operational risk proxied by Operating Expenses to Operating Income, Asset Growth proxied by the Asset Growth Ratio, Net Interest Margin as a measure of net interest margin, and financial performance measured by Return on Assets. There are 39 banks with a total of 117 observation data samples in the study. With the object of research conventional banks that report their annual reports on the IDX in 2021-2023. Based on the results of the study, liquidity risk and asset growth do not affect financial performance. Credit risk and operational risk have a negative effect on financial performance. Also, the net interest margin has a positive effect on financial performance.

This research aims to analyze the optimization of legal protection and risk mitigation for PT ASDP Indonesia Ferry (Persero) as the lender in a Shareholder Loan (SHL) Agreement with PT Indonesia Ferry Properti, and to examine the legal implications of the PT ASDP directors' liability in the SHL decision-making process. The research method employed is normative juridical with a literature study approach. The findings indicate that although the SHL execution has procedurally met legal principles and Good Corporate Governance (GCG), the optimization of legal protection for PT ASDP requires the enhancement of more proactive post-disbursement fund supervision clauses and, crucially, the implementation of specific collateral to mitigate credit risk, considering the current agreement is still reactive and lacks specific collateral. Furthermore, the directors of PT ASDP bear responsibilities under Article 97 of the Company Law and the principle of fiduciary duty. The Business Judgment Rule (BJR) doctrine can shield directors from personal liability if decisions are made in good faith, with due care, without conflicts of interest, and accompanied by risk mitigation efforts, wherein the implementation of GCG principles is fundamental. Violations may lead to civil, criminal, or administrative liability. This research concludes the importance of contractual strengthening of the SHL and strict adherence to GCG to protect company assets and directors.

This study uses GCG self-assessment as a moderating variable to investigate how risk management, in particular operational, credit, and liquidity risk, affects financial performance. utilizing secondary and quantitative data from the websites of the Financial Services Authority (OJK) and each Rural Bank (BPR) for the 2019–2023 timeframe. Purposive sampling was the approach utilized to acquire the study's sample. There are 17 rural banks included in the sample size. The Structural Equation Modeling (SEM) approach and the SmartPLS 3.2.9 analysis tool are used in research data processing. The findings of the study demonstrate that operational risk significantly and negatively impacts financial performance. Liquidity risk has a positive but not significant effect on financial performance, while credit risk has a negative impact. This study also discovered that while GCG self-assessment was able to moderate the association between credit risk and financial performance, it was unable to moderate the relationship between financial performance and operational risk or liquidity risk.

The purpose of this study is to examine how risk management techniques can reduce credit risk and increase liquidity in the Indonesian banking industry. It used quantitative methods and collected information from 130 banking professionals through a survey created on a Likert scale ranging from 1 to 5. The Structural Equation Modeling Partial Least Squares (SEM-PLS 3) approach was used to test the hypothesis. According to research, practicing efficient risk management techniques significantly lowers credit risk while increasing liquidity. The findings of this study emphasize the crucial importance of having a strong risk management framework due to its role in ensuring financial stability and enhancing the performance of the Indonesian banking sector. The conclusion of this study offers strategic benefits to banking institutions and policymakers in maximizing risk management procedures in the face of shifting economic conditions.

The stability of the banking sector is crucial in maintaining a country’s financial system and economic sustainability. This study analyzes the impact of Net Interest Margin (NIM), Non-Performing Loans (NPL), and Capital Adequacy Ratio (CAR) on banking stability in Indonesia. The inconsistency of previous research findings indicates a research gap that requires further exploration. This study employs a quantitative approach using secondary data from financial reports of conventional banks listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023. The sample was selected using purposive sampling, resulting in 39 banks with 195 observations. Data analysis was conducted using multiple linear regression with classical assumption tests, including normality, heteroscedasticity, multicollinearity, and autocorrelation, to ensure model validity. The results show that NIM positively but not significantly affects banking stability, while NPL has a negative and significant effect. CAR also significantly influences banking stability. Enhancing banking intermediation effectiveness through NIM and CAR can strengthen financial stability, whereas increasing credit risk, reflected in NPL, can weaken stability. This study provides insights for regulators and banking management in designing more effective policies to maintain banking sector stability in Indonesia.

In alongside demonstrating how strategic cost management approaches can lower banking risks, the study sought to address the theoretical underpinnings of both banking risks and strategic cost management techniques. as well as identifying the most important measures through which banking risks to which economic units are exposed can be reduced to a minimum by helping to deal with situations in which the future cannot be predicted with certainty and that banking risks arise from the financing side. The study was applied in a sample of banks listed on the Iraq Stock Exchange, and the focus was on commercial banks because of the exposure of these banks to a range of banking risks, the most important of which are credit risks, liquidity, exchange rate and interest rate. These banks also suffer from problems related to operational decisions such as pricing decisions. Strategic cost management techniques are a set of tools and methods that are appropriate to the needs of the modern business environment, which is concerned with cost analysis in a broad framework through its ideal position in order to improve the cost structure and achieve competitive advantage. This was the most significant finding of the research. The research discovered that strategic cost management techniques can help reduce risks and rationalize operational decisions, through which they can respond quickly to customer requirements and provide sufficient flexibility for any Changes that may occur and the delivery of products to them as quickly as possible while adhering to the standards of the modern corporate environment.

This study aims to analyze the implementation of credit risk management in Islamic banking, which is a crucial aspect in maintaining business stability and sustainability. The research focuses on identifying credit risk control strategies, such as supervisory oversight by the board of commissioners, risk management policies, and internal control systems. The research method used is a literature review, examining various sources, including journals, books, and official documents. The article shows that credit risks in Islamic banking arise from customers' failure to meet payment obligations and involve concentration and counterparty risks. Islamic banks apply several strategies to address non-performing loans, such as rescheduling, restructuring, reconditioning, and, when necessary, collateral seizure. The implementation of credit risk management helps banks reduce potential losses and improve operational efficiency. Effective credit risk management enables Islamic banks to mitigate losses and maintain customer trust while adhering to Sharia principles and OJK regulations. With the right strategies, Islamic banks can ensure financial stability and sustain long-term growth..

The increasingly dynamic global financial landscape demands effective risk management strategies to ensure financial stability and institutional sustainability. Two critical approaches, risk financing transfers and risk retention, offer complementary solutions. Risk financing transfers allow institutions to redistribute financial risks to third parties through mechanisms such as securitization and Credit Risk Transfers (CRTs), improving market efficiency. In contrast, risk retention emphasizes accountability by require institutions to retain a portion of the risks, fostering market discipline and investor confidence.This study employs a Semantic Literature Review (SLR) to analyze the interaction between these approaches, focusing on mechanisms like securitization, contract design, and macroprudential policies. By reviewing ten peer reviewed articles published between 2015 and 2024, key themes and challenges related to systemic risks, moral hazards, and regulatory gaps are identified. Thematic analysis, supported by tools like NVivo, reveals the potential of these mechanisms to enhance financial stability when implemented within a robust regulatory framework.The results highlights that while risk financing transfers increase flexibility and market efficiency, they May exacerbate moral hazards without sufficient risk retention. Macroprudential policies and accurate risk pricing is crucial in addressing systemic risks, particularly in sectors like shadow banking and climate vulnerable regions. The study also underscore the importance of transparent contract design and the integration of innovative tools, such as geospatial data and machine learning, to support fair and efficient risk distribution.In conclusion, balancing market efficiency and systemic risk mitigation is imperative.While​ risk retention strengths accountability and oversight, effective integration with risk financing transfers is necessary to create a sustainable and resilient financial system.This​ review provides valuable insights for policy makers and practitioners in addressing emerging financial challenges.

This research aims to determine the different kinds of risks that Bank Muamalat KCP Sepanjang faces as well as the mitigation strategies implemented to manage these risks. This research uses qualitative methods with a descriptive approach to understand risk phenomena in depth through interviews and observations. The research results show that Bank Muamalat faces several main risks, including credit risk, market risk, liquidity risk and strategic risk. Strategic risk is the biggest challenge because it requires adjustments to changes in business competition, innovation and technological developments. The mitigation strategies implemented by Bank Muamalat include strict supervision of strategic policies, collaboration with other parties, and adaptation to new technology. With the right mitigation strategy, Bank Muamalat KCP Sepanjang can maintain its stability and growth in the sharia banking sector.  

Islamic banking financing has become a crucial component of Indonesia's financial sector, providing a Sharia-compliant alternative to conventional financing. Despite its rapid growth, assessing the feasibility of Islamic banking financing remains a major challenge, particularly in terms of risk management, financial sustainability, and regulatory compliance. Previous studies have assessed financing feasibility using various methods, including the 5C approach (Character, Capacity, Capital, Collateral, and Conditions). However, research in this area remains fragmented, with a lack of systematic analysis of key trends, methodologies, and influencing factors. This study uses a Systematic Literature Review (SLR) to synthesize and analyze existing research on the feasibility of Islamic banking financing in Indonesia. The review covers studies published between 2020 and 2022, focusing on research distribution, analytical techniques, and key determinants affecting financing feasibility. The findings reveal that most studies emphasize credit risk assessment, financial literacy, and regulatory frameworks, but lack a unified approach to measuring feasibility. Furthermore, this study highlights gaps in the application of digital technologies, such as big data and machine learning, that can be used to strengthen the financing eligibility assessment system. The application of these technologies not only improves the accuracy of risk predictions but also enables Islamic banking institutions to reach more customers, particularly MSMEs and the informal sector, which have historically been underserved. The results of this study provide valuable insights for Islamic financial institutions, regulators, and researchers, highlighting the need for integrated risk assessment models, a better regulatory framework, and enhanced financial literacy initiatives to strengthen Islamic banking financing in Indonesia. This research contributes to the development of a more structured and comprehensive framework for evaluating financing eligibility, ensuring sustainable growth and financial inclusion in the Islamic banking sector.

In developing countries, access to health insurance remains a critical challenge, with large segments of the population unable to afford adequate coverage. One potential solution is integrating health insurance with financial institutions, particularly through credit cards, offering a convenient and accessible method for individuals to manage health expenditures. Credit cards can open a new horizon to make healthcare affordable, convenient, competitive and important in improving service quality. Act as innovative tools to innovate and introduce financial institutions.This paper explores the concept of health insurance linked to credit cards, examining its viability in developing countries. We investigate the potential benefits, such as increased healthcare accessibility and financial inclusion, alongside challenges like limited financial literacy, regulatory barriers, and credit risks for low-income populations. Additionally, this paper highlights opportunities for financial institutions to partner with healthcare providers, expanding access through innovative models. Through case studies and analysis, we identify key success factors and propose a framework for effective implementation. The findings suggest that credit card-based health insurance has the potential to significantly improve healthcare access in developing countries, provided that regulatory, technological, and socio-economic challenges are adequately addressed.

This study provides a comparative analysis of the regulatory frameworks governing Buy Now Pay Later (BNPL) services across ten ASEAN countries: Indonesia, Malaysia, Singapore, Thailand, the Philippines, Laos, Brunei Darussalam, Vietnam, Myanmar, and Cambodia. As BNPL services rapidly expand throughout the region, understanding the diverse regulatory landscapes and their implications becomes increasingly critical for fostering financial stability, consumer protection, and innovation in the digital financial ecosystem.  Utilizing a literature review methodology, the research examines existing regulations, legal frameworks, and market trends, assessing their impact on financial stability, consumer protection, and fintech innovation.  Singapore is identified as the leader in regulatory practices, effectively balancing fintech innovation with stringent consumer protection. Indonesia and Malaysia emphasize financial inclusion and systemic risk management, with Indonesia's framework focusing on transparency and financial literacy. Thailand and the Philippines are refining their frameworks, while Myanmar, Laos, Brunei, Vietnam and Cambodia are still developing their regulatory approaches. BNPL services, driven by growing e-commerce and fintech ecosystems, offer significant opportunities for financial inclusion but also pose challenges related to over-indebtedness, credit risk, and data protection. The analysis emphasizes that while BNPL presents significant opportunities for financial inclusion and fintech innovation, effective regulation is critical to ensuring sustainable growth and protecting consumers from debt traps and financial instability.