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The rapid development of digital technology, especially after the COVID-19 pandemic, has brought changes to people's behavior and lifestyle with the trend of digital payments. One of the advances in digital financial services technology is PayLater, a Fintech innovation that offers easy transactions in the form of loans and installments without a credit card. This study aims to analyze the influence of transaction convenience and risk perception on purchasing decisions using the PayLater feature on e-commerce platforms among Generation Z in Samarinda City. This study uses a quantitative approach with associative methods and multiple linear regression analysis using SPSS 27. The method used is purposive sampling to obtain a sample of 100 respondents from Generation Z in Samarinda City, aged 18-28 years, who have used PayLater on e-commerce platforms. The findings show that transaction convenience (X1) has a positive and significant effect on purchasing decisions, but risk perception (X2) does not have a significant effect on purchasing decisions. At the same time, both variables have a significant effect on purchasing decisions. The findings of this study are expected to provide valuable insights for the PayLater feature to design more effective strategies to improve customer satisfaction and transaction experience.

This research investigates the effect of fundamental factors, namely the current ratio, debt to equity ratio, and return on equity on stock returns of mining firms listed on the Indonesia Stock Exchange (IDX) during 2021–2023. The research highlights the utility of understanding a firm’s financial performance in guiding investment selection within the capital market. Although the mining industry contributes significantly to Indonesia’s economy, stock movements in this sector are often subject to uncertainty due to market fluctuations and commodity price volatility. This research utilizes secondary data from annual financial statements and stock price records of 51 IDX-listed mining companies over the study period. Panel data regression, combined with descriptive and quantitative statistical techniques, was employed using E-Views 12 software. The findings reveal that stock returns are significantly influenced by the current ratio, debt to equity ratio, and return on equity. These results provide useful insights for investors, financial analysts, and corporate management by emphasizing the function of fundamental indicators in assessing stock performance, particularly within the mining sector.

Background: Dietary adherence is a crucial component in the management of patients with chronic kidney disease (CKD) undergoing hemodialysis. Non-adherence may lead to metabolic imbalance, increased morbidity, and reduced quality of life.Objective: To identify factors associated with dietary non-adherence among patients with CKD undergoing hemodialysis at Imelda Hospital, Medan. Methods: A cross-sectional study was conducted among patients undergoing routine hemodialysis. Data were collected using structured questionnaires assessing knowledge, attitudes, and family support related to dietary adherence. Statistical analysis was performed using chi-square tests and logistic regression with a significance level of p < 0.05. Results: Knowledge, attitudes, and family support were significantly associated with dietary non-adherence (p < 0.05). Family support was identified as the most influential factor. Conclusion: Dietary non-adherence among hemodialysis patients is influenced by knowledge, attitudes, and family support. Strengthening patient education and family-centered nursing interventions is essential to improve dietary adherence.

This study examines the determinants of green innovation and its impact on sustainable business performance among micro, small, and medium enterprises (MSMEs) in the Bandung Raya region of Indonesia. Specifically, the study analyzes the influence of environmental knowledge and market pressure on green innovation, as well as the effect of green innovation on sustainable performance. A quantitative approach was employed using data from 150 MSMEs, and structural relationships were tested through multiple regression analysis. All measurement instruments demonstrated high reliability (Cronbach’s Alpha 0.89–0.95) and validity (corrected item–total correlation > 0.80). The results reveal that environmental knowledge has the strongest positive and significant effect on green innovation (β = 0.728; p < 0.001), indicating that MSMEs with greater environmental awareness are more likely to adopt eco-friendly innovations. Market pressure also significantly influences green innovation (β = 0.257; p < 0.001), demonstrating the role of consumer expectations, competition, and green product trends in shaping sustainable business practices. Furthermore, green innovation has a very strong and significant impact on sustainable business performance (β = 0.847; p < 0.001), suggesting that eco-friendly practices enhance cost efficiency, customer satisfaction, firm reputation, and environmental outcomes. Overall, the study highlights the importance of combining internal awareness with external pressures to foster green innovation and strengthen sustainability among MSMEs. The findings provide theoretical contributions to green innovation and sustainability frameworks, while offering practical implications for MSMEs, policymakers, and business support institutions.

This study is intended to identify the impact of Online Customer Reviews and Product Quality Perceptions on Skintific Purchase Decisions on TikTok Shop. This study applies a quantitative approach through causal methods. Involving 96 respondents who have purchased and used Skintific products on the platform. Data analysis was carried out through the stages of classical assumption tests (normality, multicollinearity, and heteroscedasticity), and used multiple linear regression to test the research hypothesis. The findings show that online customer reviews and product quality perceptions have a positive and significant influence on purchase decisions, both when tested individually and together. The adjusted coefficient of determination (Adjusted R²) reaches 0.875, which means that 87.5% of the variation in purchase decisions can be explained by the two independent variables, while the remaining 12.5% is influenced by external elements outside of this model. Among the two variables studied, Online Customer Reviews were proven to have a dominant influence on Purchase Decisions, with a higher Beta value than Product Quality Perception. This conclusion emphasizes that positive reviews from customers and a good view of product quality are the main drivers for consumers to purchase Skintific products on TikTok Shop. Thus, companies are advised to maintain product reputation through consistent quality as well as optimize digital communication strategies based on customer reviews to improve consumer purchasing decisions.

This study aims to determine the extent to which motivation and work discipline affect employee productivity at CV. Langgeng Jaya. The study uses a quantitative descriptive approach with data collection techniques through distributing questionnaires. The study population includes all 80 employees of CV. Langgeng Jaya, with a sampling technique using Saturated Sampling. Data analysis was carried out through Multiple Linear Regression Tests and Hypothesis Tests with the help of the SPSS 27 program. The results of the study indicate that motivation has a significant influence on employee productivity partially, while work discipline does not have a significant influence. However, simultaneously, motivation and work discipline have been proven to have a significant influence on employee productivity. Therefore, CV. Langgeng Jaya is expected to prioritize increasing employee motivation through targeted programs and conducting evaluations and coaching on work discipline aspects, so that both factors can support each other in increasing overall productivity. This aims so that both factors can support each other in increasing overall employee productivity, creating a more productive work environment, and improving company performance in the long term.

This study aims to examine the relationship between Corporate Social Responsibility (CSR) disclosure and profitability with firm value. The research was conducted on companies in the oil, gas, and coal sub-sector listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period. The independent variables in this study are corporate social responsibility disclosure and profitability, while firm size is employed as a control variable. Firm value is proxied by Price to Book Value (PBV), whereas profitability is measured using Return on Equity (ROE). This study is grounded in Stakeholder Theory and Signaling Theory to explain the relationships among the variables. The sample was determined using purposive sampling, resulting in 29 companies. The data analysis techniques applied include Pearson correlation analysis and multiple linear regression to examine both the simple relationships and the effects of corporate social responsibility disclosure and profitability on firm value. The results indicate that corporate social responsibility disclosure has a negative relationship with firm value, while profitability shows a positive and significant relationship with firm value.

The objective of this study is to directly analyze and illustrate the compositioneof the auditecommittee, which consists of financial knowledge, independence and the quantity of members on the committee, concerning the financial statement quality of energy sector industries listed on the IDX in 2023-2024.High-quality financial statements are a crucial component reflecting the outcome of the accounting process and are vital for stakeholders in decision-making. Despite regulatory requirements for audit committees, corporate financial statements in Indonesia often contain earnings management or accounting irregularities, indicating that the audit committee's very existence is insufficient to guarantee financial statements' quality. A numerical approach with a causal-comparative approach is utilized in this investigation. The secondary quantitative data are obtained from companies’ yearly financial statements, annual reports, and corporate governance disclosures published on the official IDX website. The data are examined using EViews software for panel data regression, going through many steps, including descriptive statistics, classical assumption testing, panel data model selection, and regression analysis for hypothesis testing. The audit committee's size, objectivity, and financial acumen make up the study's independent variables. Meanwhile, financial statement quality as the dependent variable is measured through earnings quality proxy using the discretionary accruals calculation approach (Jones model or Modified Jones model). Specifically, this research seeks to deliver theoretical and practical benefits for regulators in formulating corporate governance policies, give companies a comprehension of the importance of an effective audit committee, and help investors make informed investment choices.

This study examines the influence of foreign ownership, return on assets (ROA), and firm size on environmental, social, and governance (ESG) disclosure among energy sector companies listed on the Indonesia Stock Exchange (IDX) during 2022–2024. The sample was selected through purposive sampling, including firms that consistently published annual and sustainability reports in accordance with the Global Reporting Initiative (GRI) standards. ESG disclosure was measured as the proportion of disclosed GRI indicators to the total applicable indicators. Multiple linear regression analysis shows that foreign ownership and firm size significantly enhance ESG disclosure, while ROA has no significant effect. These results support legitimacy theory, suggesting that companies increase ESG transparency primarily to secure societal acceptance and maintain their social license to operate. In the energy sector, where environmental sensitivity and public scrutiny are high, ownership structure and firm scale emerge as stronger determinants of ESG disclosure than short-term profitability.

This study aims to evaluate the effect of Return on Assets (ROA), Debt to Equity Ratio (DER), and Current Ratio on Firm Value, with Sales Growth as a moderator variable, in textile and garment companies listed on the Indonesia Stock Exchange (IDX) for the period 2020-2024. The population of this study consisted of 21 companies, and purposive sampling was used to select 19 companies according to the established criteria. The analytical method used was panel data regression analysis with the help of Eviews version 12.0. The results of this study indicate that Return on Assets (ROA) has a negative and significant effect on firm value, Debt to Equity Ratio (DER) and Firm Size have a positive and significant effect on firm value, Current Ratio (CR) does not have a significant effect on firm value, and Sales Growth cannot moderate the effect of Return on Assets on firm value. The condition of ROA that has a negative effect on firm value can describe a situation where the greater the company's profit in the form of assets, the lower the company's value will be, or conversely, the higher the company's value, the lower the company's assets will be.

This study aims to examine the influence of investment, labor, and unemployment rates on economic growth in Aceh Province. Economic growth is one of the main indicators in assessing the success of a region's development, so it is important to understand the factors that can influence it. The data used in this study are secondary data in the form of annual data for the period 2009–2023 obtained from the Central Statistics Agency (BPS) of Aceh Province and several related institutions. Data analysis was conducted using the multiple linear regression method with a time series approach. The results of the analysis show that the investment variable has a positive and significant influence on economic growth in Aceh Province, indicating that increased investment can encourage increased regional economic output. The labor variable also has a positive influence on economic growth, although its significance is lower compared to investment. Meanwhile, the unemployment variable has a negative and significant influence on economic growth, which means that increasing unemployment rates can suppress the rate of economic growth in Aceh Province.

In the face of global economic uncertainty and property market fluctuations, companies in the property and real estate sector are required to maintain profitability. This sector contributes significantly to the national GDP, but it has also faced pressure due to declining demand and instability in the growth of the real estate sector's GDP from 2021 to 2024. Profitability is a key indicator of a company's sustainability, influenced by various internal factors such as liquidity, firm size, and gender diversity in leadership. The target population of this inquiry encompasses property and real estate enterprises enumerated on the Indonesia Stock Exchange throughout the 2021–2024 interval. Through the application of purposive sampling, a total of 52 data observations were delineated as the empirical sample. The dataset was subjected to scrutiny employing multiple linear regression procedures facilitated by SPSS software version 26. The empirical outcomes substantiate that liquidity, firm size, and gender diversity simultaneously influence profitability. Partially, liquidity has a positive and significant effect on profitability, while gender diversity has a negative and significant effect. In contrast, firm size does not have a significant influence on the profitability of property and real estate companies listed on the Indonesia Stock Exchange during the 2021–2024 period.

This study aims to analyze the effect of the unemployment rate on economic growth in Riau Islands Province in 2024 using a descriptive–quantitative approach based on official data published by Statistics Indonesia (BPS). The analysis was conducted through year-on-year and quarter-to-quarter measurements of Gross Regional Domestic Product (GRDP), as well as the dynamics of the Open Unemployment Rate (OUR) throughout the year. The findings show that the average economic growth of the province in 2024 reached 5.02 percent, while the unemployment rate decreased from 6.94 percent in February to 6.39 percent in August. Pearson correlation analysis resulted in r = –0.98 (p < 0.05), indicating a very strong negative relationship between unemployment and GRDP growth. Meanwhile, the simple linear regression model produced the equation Ŷ = 5.45 – 0.22X with an R² of 0.96, implying that 96 percent of the variation in economic growth can be explained by changes in the unemployment rate. These findings are consistent with Okun’s Law, suggesting that increased industrial and trade activities in the province contribute to reducing unemployment. The study concludes that strengthening sectoral job creation, improving labor productivity, and enhancing labor market monitoring are crucial to support inclusive and sustainable economic growth in the Riau Islands Province.

This study analyzes the influence of Islamic business ethics principles on online buying and selling transactions in the predominantly Muslim community of South Sumatra. Using a quantitative approach through a survey of 200 respondents in Palembang with a Likert scale questionnaire, the data were analyzed using multiple linear regression with SPSS 26. The results showed that the principle of honesty (sidq) had the strongest significant influence (β = 0.029, p = 0.002), followed by unity (tawhid) (β = 0.016, p = 0.049), while other principles such as balance, free will, and responsibility showed a positive but insignificant influence. The regression model explained 10.3% of the variation in transaction behavior (R² = 0.103). This study concluded that the application of Islamic ethics can increase trust and sustainability in e-commerce in the region, with implications for the development of halal businesses. In the future, the application of these principles is expected to mitigate ethical issues in e-commerce, such as fraud and uncertainty that often occur, as well as strengthen transparency and fairness in online transactions.

The rapid growth of e-commerce platforms in Indonesia, particularly Tokopedia, has resulted in a large volume of consumer reviews containing valuable information regarding customer perceptions and satisfaction. However, manual analysis of such reviews is inefficient and prone to subjectivity, necessitating an automated approach based on machine learning. This study aims to classify the sentiment of sports product reviews on Tokopedia into positive, negative, and neutral categories by applying Logistic Regression, Support Vector Machine (SVM), and Random Forest using the Term Frequency–Inverse Document Frequency (TF-IDF) approach. The data were collected through web scraping of Indonesian-language sports product reviews and processed through several preprocessing stages, including data cleaning, case folding, tokenization, stopword removal, and stemming. Feature representation was performed using TF-IDF to transform textual data into numerical vectors, after which the dataset was divided into training and testing sets with an 80:20 ratio. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the application of TF-IDF significantly improves the performance of all models, with SVM consistently achieving the most optimal performance compared to Logistic Regression and Random Forest. These findings demonstrate that classical machine learning algorithms combined with TF-IDF remain highly effective for sentiment analysis of Indonesian-language text. The implications of this study are expected to assist sellers in understanding customer opinions, support consumers in making informed purchasing decisions, and serve as a foundation for the development of sentiment analysis and recommendation systems on e-commerce platforms.

This study investigates the relationship between corporate governance characteristics, financial structure, and Enterprise Risk Management (ERM) disclosure in Indonesian non-financial firms. Focusing on manufacturing companies listed on the Indonesia Stock Exchange in 2023, the analysis examines whether board size, the proportion of independent commissioners, and leverage influence the extent of ERM disclosure. Using a quantitative approach, multiple linear regression is applied to secondary data obtained from firms’ annual reports. The findings indicate that board size and the proportion of independent commissioners do not have a significant effect on ERM disclosure, while leverage exhibits a positive and significant relationship. This result suggests that firms with higher debt levels are more inclined to enhance risk disclosure as a mechanism to address information asymmetry and demonstrate accountability to investors and creditors. The study contributes to the ERM and corporate governance literature by providing evidence from an emerging market setting and highlighting the practical importance of financial structure in shaping risk transparency, offering relevant insights for corporate decision-makers and regulators to strengthen sustainable risk management practices.

This study empirically examines the effects of ownership structure, including managerial, institutional, and public ownership, on tax avoidance practices, using profitability as a moderating variable. The population in this study consists of manufacturing companies listed on the Indonesia Stock Exchange (IDX), from which a sample was selected using purposive sampling. A total of 330 observations were collected from 110 manufacturing companies for the period 2022–2024. The variables were tested using multiple linear regression in EViews 12. This study expands on previous research by using profitability as a moderating variable that can influence the relationship between ownership structure and tax avoidance. The results show that institutional ownership has a negative and significant effect on tax avoidance practices. An increase in institutional share ownership can reduce tax avoidance practices. Meanwhile, managerial and public ownership do not affect tax avoidance practices. In the moderation test, profitability strengthened the effect of managerial and institutional ownership on tax avoidance. Still, it did not moderate the impact between public ownership and tax avoidance.

This study aims to analyze the effect of Environmental, Social, and Governance (ESG) performance on financial misreporting, with investor attention as a moderating variable in banking companies listed on the Indonesia Stock Exchange during the 2019–2022 period. The theoretical framework is grounded in Agency Theory and Legitimacy Theory to explain the role of ESG as an internal control mechanism and a means of gaining external legitimacy. The research employs a quantitative approach using secondary data from annual reports and sustainability reports. Financial misreporting is proxied by earnings management measured through discretionary accruals, while ESG performance is assessed using the GRI Standards index, and investor attention is proxied by institutional ownership. Data analysis was conducted using multiple regression and Moderated Regression Analysis (MRA). The findings reveal that all three ESG dimensions (environmental, social, and governance) have a significant negative effect on earnings management. Institutional investor attention is found to strengthen the negative relationship between environmental and social aspects with earnings management, but weaken the influence of governance. These results indicate that institutional investors tend to be more responsive to environmental and social issues compared to governance aspects. Practically, this study provides empirical evidence that ESG implementation can serve as a control instrument against financial misreporting in the banking sector, while theoretically enriching the literature on investor moderation in the relationship between ESG and earnings management practices.

Amidst the current changing global conditions, it is important for a country to achieve the Sustainable Development Goals (SDGs) to face challenges in sustainable development, social inequality, and strengthen economic and environmental resilience. This study aims to analyze the influence of environmental performance and political stability on the SDG scores of ASEAN countries for the 2020-2024 period, moderated by economic growth. Researchers used a quantitative method, processed using multiple linear regression with SPSS. The regression process was conducted twice, before and after using moderating variables. The findings suggest that economic growth can alter the influence of environmental performance and political stability on SDG scores. Political stability has a positive impact on the SDGs after economic growth has moderated. While environmental performance has a negative impact after being moderated by economic growth. Economic growth promotes political stability and sustainable growth. Conversely, with high growth, improvements in environmental performance are indicated to shift priorities from sustainability to exploitation.

This study examines the impact of Pentagon Fraud factors on FSF, with WBS as a moderation variable, focusing on Indonesian State-Owned Enterprises (SOEs) from 2021 to 2024. The Pentagon’s Fraud Theory encompasses five key elements: pressure, opportunity, rationalization, competence, and arrogance, each of which is represented by financial stability, ineffective monitoring, the quality of auditors, the experience of directors, and CEO pictures. This study aims to determine how these factors affect financial reporting that contains fraud, and whether WBS can strengthen or weaken the relationship between the two. Using a quantitative approach with secondary data from the annual reports of 104 SOEs, thisi study applied panel data regression method. FSF was measured using the Beneish M-Score, while the effect of moderation was tested through moderated regression analysis. The results of this study are expected to provide deeper insights into the dynamics of fraud in the public sector and highlight the importance of WBS as a governance tool in reducing the risk of fraud. The study contributes to the previous literature by integrating a comprehensive fraud framework and testing it with moderation mechanisms, while also focusing on specific institutional contexts (SOEs), which have not been explicity explored in previous studies.