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This study examines the financial performance of PT Unilever Indonesia Tbk during the 2023–2025 period by evaluating key financial indicators, namely the Current Ratio (CR), Debt to Equity Ratio (DER), Return on Assets (ROA), and Return on Equity (ROE). The study aims to assess the company's financial condition and analyze the impact of its business transformation strategy on financial performance. A descriptive quantitative approach was employed using secondary data obtained from the company's published annual financial reports. Data analysis focused on comparing financial ratio trends over the three-year period to evaluate liquidity, solvency, and profitability performance. The findings indicate that the company's financial performance experienced fluctuations during the business transformation process. Liquidity and solvency gradually improved toward the end of the observation period, reflecting stronger short-term financial capability and a healthier capital structure. Profitability also demonstrated increased efficiency in utilizing company assets, although changes in equity returns indicated adjustments in capital management during the transformation process. Overall, the implementation of the company's transformation strategy contributed positively to strengthening financial performance and improving resilience in responding to changing business conditions and market competition. This study provides useful insights for management, investors, and other stakeholders in evaluating the effectiveness of corporate transformation strategies through financial ratio analysis and highlights the importance of maintaining financial stability to support sustainable business growth.

The purpose of this study is to analyze the influence of Corporate Social Responsibility (CSR), Financial Distress, and Altman Z-Score on Dividend Decisions in automotive sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2025 period. This study is motivated by fluctuations in the Dividend Payout Ratio (DPR) in the automotive sector, which indicates changes in company dividend policy due to economic conditions, financial performance, and non-financial factors that influence management decision-making. The research method used is a quantitative approach with a causal associative research type to examine the relationship between the independent and dependent variables. The study population consists of automotive sector companies listed on the IDX, while the sample was determined using a purposive sampling technique based on certain criteria. Research data were obtained from annual reports and company financial statements for the 2020–2025 period. Data analysis was carried out using the Dividend Payout Ratio (DPR) as a proxy for dividend decisions and statistical testing to determine the effect of CSR, Financial Distress, and Altman Z-Score on company dividend, the data were processed using SPSS.

This qualitative literature review synthesizes current evidence on how investors navigate climate risk, legal liability, and portfolio strategy by reassessing the financial role of brown assets in high carbon transition contexts. The review finds that carbon intensive assets, traditionally viewed as stranded or declining, may provide conditional hedging value when policy trajectories remain uncertain, green technologies are not yet fully scalable, and transition risks are uneven across sectors. Legal liability emerges as a powerful driver of portfolio decisions, as fiduciaries face increasing scrutiny regarding climate disclosure, risk governance, and alignment with net zero commitments. The synthesis reveals that the strategic value of brown assets is dynamic rather than static, depending on regulatory convergence, technological maturity, and institutional investor risk preferences. Overall, the review highlights the interplay between climate related litigation pressures and investment strategy, emphasizing the need for adaptive risk assessment frameworks in a rapidly evolving transition landscape.

This study aims to evaluate how petty cash management practices contribute to improving operational efficiency at PT Anugerah Langgeng Berkat Abadi. This research focuses on examining the implementation of the petty cash management system, applied procedures, and its impact on the smooth execution of daily operational activities. The study employs a descriptive qualitative approach, with data collected through interviews, direct observation, and documentation during the internship period. The collected data were analyzed systematically to describe the actual condition of petty cash management within the company. The results indicate that PT Anugerah Langgeng Berkat Abadi implements a fluctuating fund system in managing petty cash. Expenditures are initially recorded manually and then re-entered into the company’s internal digital system to maintain control and accountability. Petty cash is used to finance routine and urgent operational needs, such as office stationery, transportation costs, and other short-term expenditures. The company has established standard operating procedures governing the use, recording, and accountability of petty cash. Several challenges were identified, including delays in the disbursement and reimbursement process, which may affect time efficiency. However, overall, the petty cash management system is considered effective in supporting short-term operational needs without disrupting the stability of the company’s main cash. This study concludes that systematic and well-controlled petty cash management plays an important role in the company’s cost efficiency strategy and supports daily operational activities. These findings align with strategic management principles, where appropriate financial decision-making contributes to the achievement of long-term organizational objectives.

This study aims to examine the effect of working capital efficiency and leverage on profitability and its implications for firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2025 period. The post-COVID-19 pandemic condition has increased operational risks for manufacturing companies due to fluctuations in interest rates, exchange rates, cash management, inventories, and receivables. Therefore, companies are required to implement more effective financial strategies to maintain competitiveness. Profitability is positioned as an intervening variable because previous studies showed inconsistent results regarding the relationship between working capital efficiency, leverage, profitability, and firm value. This research uses a quantitative approach with path analysis to examine direct and indirect relationships among variables. The population consists of all manufacturing companies listed on the IDX, while the sample includes 45 companies selected from 270 firms using purposive sampling based on specific criteria, such as consistent listing and financial performance. The results indicate that working capital efficiency has a significant positive effect on profitability, leverage has a significant negative effect on profitability, profitability significantly increases firm value, and profitability fully mediates the effect of working capital efficiency and leverage on firm value. These findings provide theoretical and practical implications for managers and investors in financial decision-making.

The transformation of payment systems from cash to digital through the Quick Response Code Indonesian Standard (QRIS) is part of financial transaction modernization in Indonesia. This transformation has begun among Micro, Small, and Medium Enterprises (MSMEs) in the Baduy community, particularly in Baduy Luar, which has higher interaction with external communities. However, the adoption of digital payment systems has not been fully supported by adequate financial management capabilities. This community service activity aims to identify the transformation process of payment systems and describe the financial literacy conditions of Baduy MSMEs. The method used is a descriptive qualitative approach through in-depth interviews and field observations. The results show that some MSMEs have adopted QRIS through Bank BRI as an alternative payment method alongside cash and have utilized social media such as TikTok Live and Instagram for product marketing. The main sources of income include handicrafts, traditional clothing, accessories, and food products. However, financial management practices remain simple and lack systematic recording. This indicates improved financial inclusion but not yet accompanied by adequate financial behavior. Therefore, strengthening financial literacy is essential to support sustainable financial modernization in the Baduy community.

This study aims to analyze the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the period 2015–2024 using the Springate and Grover models. The research employs a quantitative descriptive approach with secondary data obtained from the company’s annual financial statements. Financial distress analysis is conducted by calculating financial ratios included in each model to describe the company’s financial condition over the observation period. The results indicate that PT Garuda Indonesia (Persero) Tbk experienced financial distress during several periods, particularly before and during the COVID-19 pandemic, which was reflected in weakened liquidity, declining profitability, and reduced efficiency in asset utilization. However, following the financial restructuring process after 2021, both the Springate and Grover models show an improvement in the company’s financial condition, indicating a transition toward a more stable non-distress status. Although the Springate and Grover models use different financial indicators and classification approaches, both are able to descriptively capture the dynamics of financial distress experienced by the company. The differences in classification results reflect the distinct focus of each model, where the Springate model is more sensitive to liquidity and operational performance, while the Grover model emphasizes asset profitability. Therefore, the combined use of both models provides a more comprehensive overview of the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the research period.

This study aims to examine the level of regional financial independence and various financial ratios in assessing the performance of regency and city governments in the Special Region of Yogyakarta (DIY) for the 2019–2024 period. The method employed is a descriptive qualitative approach supported by quantitative data in the form of Budget Realization Reports (LRA). Performance measurement was conducted through several key indicators, including independence, effectiveness, efficiency, and growth ratios. The results indicate that the level of fiscal independence remains relatively low, characterized by a high dependency on transfer funds from the central government. On the other hand, the effectiveness ratio shows good achievement, as most regions were able to meet their revenue targets, particularly from Local Own-Source Revenue (PAD). However, the efficiency of expenditure management remains uneven across regions. Furthermore, the revenue growth ratio shows fluctuations influenced by economic conditions, including the impact of the pandemic. Overall, regional financial performance still needs to be improved, especially in strengthening fiscal independence and optimizing PAD potential.

This study examines the strategic role of Integrated Reporting (IR) in shaping investor perceptions in emerging markets, where transparency is essential for investment decision-making amid complex and volatile conditions. Using the Systematic Literature Review (SLR) method with the PRISMA framework, this study ensured objective source selection and rigorous article screening. A total of 119 articles were identified from Scopus and Google Scholar using the keywords “Integrated Reporting,” “Investor Perception,” and “Emerging Markets.” After applying inclusion criteria, 29 relevant articles were selected for analysis. The findings indicate that IR plays a significant role in building positive investor perceptions by reducing information asymmetry, enhancing reporting transparency, and improving the disclosure quality of non-financial information. Investors in emerging markets generally respond positively to IR implementation, particularly when supported by strong corporate governance and clear regulatory frameworks. However, the relationship between IR and investor perception varies across contexts due to differences in institutional environments, regulatory systems, and capital market maturity. This study contributes by mapping IR dynamics in emerging markets and identifying conceptual gaps and implementation challenges for future research and policymaking.

This study evaluates how macroeconomic variables such as interest rates, inflation, and exchange rates affect the returns on corporate bonds issued by the banking sector in Indonesia. Corporate bonds are an attractive investment alternative, but their performance is highly influenced by fluctuations in national economic conditions. This study uses secondary data obtained from company financial reports, macroeconomic data, and bond market information over a certain period. Multiple linear regression analysis is applied to assess the extent to which each factor affects bond returns. The analysis results indicate that increases in interest rates and inflation tend to reduce bond returns, while the effect of exchange rates is inconsistent and depends on the economic stability at the time. These findings can serve as important considerations for investors, financial analysts, and policymakers in managing risks and opportunities in the Indonesia banking bondmarket.

This literature study aims to analyze the strategies of local cosmetic brands in providing product variants for different skin types, setting affordable prices for the teenage segment, and minimizing side effect risks to increase purchase intention among beginner users. The method used is qualitative library research with a thematic synthesis approach following systematic literature review procedures. The results indicate that complete product variants enable beginner users to find products suitable for their skin conditions, reducing confusion and increasing confidence. Affordable prices are crucial for the teenage segment with limited budgets, allowing them to try products without excessive financial burden. Minimizing side effect risks through safe formulations, dermatological testing, ingredient transparency, and usage education builds a sense of security essential for beginner users. These three strategies are interconnected and collectively create a foundation of trust that drives purchase intention. Beginner users who feel their needs are understood, products are affordable, and risks are minimal will be more motivated to purchase and have the potential to become long-term loyal customers. This study contributes theoretically to enriching cosmetic marketing literature with a teenage and beginner user segmentation perspective and practically provides foundations for local brands in designing products, pricing strategies, and safety communications targeting this segment.

Stock market volatility represents a key indicator of financial market uncertainty, particularly in emerging economies where market structures are still evolving and are highly sensitive to global shocks. This study aims to analyze and compare the volatility dynamics of stock markets in four Asian emerging economies: Indonesia, India, Malaysia, and Thailand. The research employs a quantitative approach using daily stock index data from January 2011 to January 2026 obtained from Yahoo Finance. Stock returns are calculated using logarithmic transformation and analyzed using the Generalized Autoregressive Conditional Heteroskedasticity (GARCH(1,1)) model. Prior to model estimation, stationarity and ARCH effect tests are conducted to ensure the validity of volatility modeling. The empirical findings indicate that all return series exhibit non-normal distribution, strong volatility clustering, and significant ARCH effects. The estimation results show that both ARCH and GARCH parameters are statistically significant, with persistence levels close to unity across all markets, implying that volatility shocks tend to persist over a long period. These findings suggest that emerging stock markets in Asia are highly sensitive to external shocks and exhibit long-memory volatility behavior. The results provide important implications for investors and policymakers in designing effective risk management and market stabilization strategies.

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.

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.

Liquidity management is an important aspect in maintaining the operational stability of Islamic banking. Inadequate liquidity management can affect a bank’s ability to fulfill its short-term obligations and reduce public trust in banking institutions. This study aims to examine the basic concepts of liquidity management, liquidity management practices, and the various challenges faced by Islamic banks in maintaining financial stability. The study employed a qualitative method using a literature review approach through the examination of various sources, including books, scientific journals, and research articles relevant to the topic. The collected data were analyzed descriptively to obtain a systematic understanding of liquidity management in Islamic banking. The findings indicate that liquidity management in Islamic banks is carried out through asset and liability management, fund collection, financing distribution, and the implementation of GAP management. In addition, Islamic banking faces several challenges, including the limited availability of Islamic money market instruments, imbalance between assets and liabilities, risks of massive customer withdrawals, and changes in economic conditions and regulations. Therefore, adaptive liquidity management strategies based on prudential principles are required to maintain operational stability and ensure the sustainability of Islamic banking institutions.

Electricity dependence is increasing as people have easier access to electronic devices. However, this ease of access is not always accompanied by adequate energy literacy. In its Community Service program, Universitas 17 Agustus 1945 Jakarta helped to educate the residents in RW06 Kalibaru, Jakarta, about the safe and efficient use of electricity. This community service program was conducted through participatory seminar with a qualitative approach for residents. The activity used informal visual presentations and discussions in an informal atmosphere. The outreach program demonstrated residents' high enthusiasm for the efficiency of electrical equipment usage such as air conditioners, refrigerators, and water pumps. Through the discussion session, residents realized that using air conditioners with too low a power consumption actually leads to higher energy consumption because the compressor runs continuously. Participants understood that investing in automation concepts, such as using water reservoirs, provides significant long-term electricity cost savings. This outreach successfully shifted residents' paradigm from just simply seeking low prices to selecting devices with optimal capacity according to their needs. This education program demonstrates the effectiveness of energy literacy in improving electricity consumption habits at the household level. Therefore, simple technical understanding can boost family economic financial advantages through sustainable effective energy consumptions.

This study aims to analyze the implementation of digitalization in the operational management of Batik TIN MSMEs as a strategy to enhance business competitiveness. Digitalization is considered an important step for MSMEs in facing increasingly competitive market conditions in the digital economy era. The research method employed is qualitative with a case study approach. Data were collected through in-depth interviews with the owner and employees of Batik TIN MSMEs, direct observation of operational processes, and documentation related to production, marketing, and financial management activities. The results show that the implementation of digitalization in the production aspect helps improve work efficiency and product quality control. In the marketing aspect, the utilization of social media and digital platforms is able to expand market reach and enhance interaction with consumers. Meanwhile, digitalization in financial management facilitates transaction recording, improves the accuracy of financial reports, and supports more accurate decision-making. Overall, the implementation of digitalization has proven to make a positive contribution to improving operational efficiency and strengthening the competitiveness of Batik TIN MSMEs. Therefore, digitalization can be an effective and sustainable strategy for MSMEs to survive and grow amid dynamic industrial competition.

This community service activity aims to improve the ability of farmers in East Singkawang Regency to prepare simple and structured financial reports. Prior to the activity, most farmers had not maintained regular financial records, thus experiencing difficulties in identifying production costs, revenue, and profitability. The implementation method included socialization of farm financial management, training in preparing simple financial reports, and intensive mentoring. This activity involved 20 farmers as community service partners. Evaluation was conducted through comparing conditions before and after the activity using pre- and post-test instruments and observing financial record keeping results. The results showed a 45% increase in farmers' understanding of financial reporting concepts, as well as a 50% increase in their ability to prepare simple profit and loss and cash flow statements. Furthermore, 83% of participants were able to record business transactions independently and sustainably after the mentoring activity. The implementation of simple financial reports also helped farmers identify production cost structures and determine business plans for the next planting season. This community service activity contributed to strengthening the application of financial management in farming businesses and supported increased transparency, efficiency, and economic sustainability for farmers in East Singkawang Regency.

Financial distress is a condition of declining financial health of a company that can develop gradually and lead to business failure if not detected early. With the increasing complexity of the business environment and the limitations of conventional statistical methods, Artificial Intelligence/AI is increasingly being adopted in the development of early warning systems (EWS) to predict financial distress. This study aims to examine the development of AI-based EWS research, identify the most widely used algorithms, and evaluate the effectiveness of AI models compared to conventional methods in predicting financial distress. The method used is a comprehensive systematic literature review of 15 relevant scientific articles. The results show that the paradigm has shifted from statistical models to machine learning and deep learning. Random Forest and Artificial Neural Network are the most widely used algorithms and have better predictive performance. This study offers a conceptual synthesis of the progress, effectiveness, and challenges of applying AI in predicting financial distress and opens opportunities for further research on the development of contextual and interpretative EWS.

This study aims to analyze the impact of the increase in Value Added Tax (VAT) and inflation on the sales revenue of PT Astra International Tbk during the 2022–2024 period. The research employs a quantitative approach using multiple regression analysis to examine the relationship between VAT, inflation, and sales revenue. Secondary data were obtained from the company’s financial statements, inflation data from Statistics Indonesia (BPS), and VAT rate information from the Directorate General of Taxes (DJP). The data were analyzed to identify how VAT and inflation influence the company’s revenue. The results indicate that both VAT and inflation have a significant effect on sales revenue, both simultaneously and partially. The coefficient of determination (R²) of 0.899 shows that 89.9% of the variation in sales revenue is explained by the changes in VAT and inflation rates. These findings suggest that VAT and inflation are important economic factors that should be considered by businesses, especially in the automotive industry, when planning strategies for revenue generation. Furthermore, the study emphasizes the critical need for companies to adapt to changing fiscal policies and macroeconomic conditions to maintain profitability and competitive advantage in a fluctuating economic environment.