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This research was conducted to examine the implementation of the Accurate system in recording cement purchase transactions at PT. XYZ and to evaluate its effectiveness in supporting the company's operational activities. A qualitative approach was employed, emphasizing the analysis of descriptive data in the form of words and documents. The study was carried out using a case study method to obtain an in-depth understanding of the phenomenon being investigated. During the internship period, data were collected through interviews, observations, and documentation techniques. Research shows that the Accurate system helps companies record purchases in a more organised, faster and more accurate way than the manual method using Microsoft Excel. The Accurate system can automatically record purchase invoices, business debts, suppliers and the inventory of goods. This makes the accounting department more efficient. Accurate helps to reduce the risk of recording errors and makes it easier to find transaction data. However, when it is being used, there are still several problems, such as delays in entering transaction data, mistakes when entering names or account numbers, and being unable to change invoices after a certain amount of time. To get around these problems, the company checks the transaction data again and makes sure that the recording process is more consistent. Research results show that the Accurate system is effective in PT. XYZ can help make sure that the process of recording cement purchases is effective and efficient. It can also help make sure that financial information is more accurate and joined up.

The acceleration of digitalization in recent years has shaped a new socio-economic landscape in Indonesia. Access to app-based financial services and online entertainment has increased rapidly, but at the same time, illegal online lending and digital gambling, targeting adolescents, have flourished. This paper explores a Community Service intervention model that combines preventative digital literacy and artificial intelligence (AI) optimization within the La Tansa Islamic Boarding School in Palembang. The research was conducted using a qualitative approach with participant observation, in-depth interviews, focus group discussions, and written reflection analysis. Findings indicate that strengthening digital literacy based on critical awareness not only improves risk understanding but also deepens self-control integrated with religious values. AI training for educators also encourages changes in learning practices to be more adaptive and reflective of the dynamics of the digital era. This model offers a digital resilience approach that can be replicated in other educational institutions with similar characteristics.

Antibiotic resistance is a global health problem that requires international efforts to prevent the ineffectiveness of existing antibiotics and support the development of new antimicrobial agents. The increasing use of antibiotics in the community must be accompanied by proper understanding regarding rational antibiotic use to minimize the risk of resistance. This community service activity aimed to provide education on rational antibiotic use and the dangers of antibiotic resistance to undergraduate nutrition students at STIKes Adila, Bandar Lampung. The activity was conducted through educational sessions using flyers, presentation slides, and interactive discussions to encourage active participation and improve understanding of the topic. Evaluation was carried out using pre-test and post-test assessments to measure changes in participants’ knowledge levels. Descriptive analysis showed an improvement in participants’ knowledge, with the high knowledge category increasing from 0% during the pre-test to 85% in the post-test, while the low knowledge category decreased from 35.5% to 0% after the intervention. These findings indicate that educational interventions can effectively enhance awareness and understanding of rational antibiotic use and the prevention of antibiotic resistance. Therefore, continuous educational programs are important to promote responsible antibiotic use and support public health efforts in combating antibiotic resistance.

Antibiotic resistance is a global health problem that requires international efforts to prevent the ineffectiveness of existing antibiotics and support the development of new antimicrobial agents. The increasing use of antibiotics in the community must be accompanied by proper understanding regarding rational antibiotic use to minimize the risk of resistance. This community service activity aimed to provide education on rational antibiotic use and the dangers of antibiotic resistance to undergraduate nutrition students at STIKes Adila, Bandar Lampung. The activity was conducted through educational sessions using flyers, presentation slides, and interactive discussions to encourage active participation and improve understanding of the topic. Evaluation was carried out using pre-test and post-test assessments to measure changes in participants’ knowledge levels. Descriptive analysis showed an improvement in participants’ knowledge, with the high knowledge category increasing from 0% during the pre-test to 85% in the post-test, while the low knowledge category decreased from 35.5% to 0% after the intervention. These findings indicate that educational interventions can effectively enhance awareness and understanding of rational antibiotic use and the prevention of antibiotic resistance. Therefore, continuous educational programs are important to promote responsible antibiotic use and support public health efforts in combating antibiotic resistance.

The Legal Unit plays a crucial role in ensuring compliance with banking regulations, particularly in managing customer documents related to data protection and legal risk reduction. This study aims to explore the role and performance of the Legal Unit in managing customer files at Bank Sumsel Babel, Kapten A. Rivai Main Branch, and to identify obstacles and possible solutions. The method chosen in this study is qualitative with a descriptive approach. Data were obtained through observation, interviews, and document analysis, which were then analyzed using the interactive model of Miles and Huberman. The research findings indicate that the Legal Unit is responsible for ensuring that document management is carried out regularly, securely, and in accordance with applicable banking regulations. The implementation of Standard Operating Procedures (SOPs), internal supervision, and the use of digital archives contribute to legal compliance and minimize the risk of document loss and information leakage. Problems encountered include limitations in human resources and incompatibility with digital systems. Therefore, improvements in document management technology, training for human resources, and periodic SOP evaluation are needed to improve the effectiveness of the Legal Unit's work and maintain customer trust.

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.

This study aims to investigate the influence of audit committee characteristics—including the proportion of independent audit committee members, audit committee size, and the frequency of audit committee meetings—on the risk of financial statement fraud in companies in the real estate and infrastructure sectors listed on the Indonesia Stock Exchange from 2020 to 2024. This study is grounded in agency theory and signaling theory. The sample was selected using purposive sampling, involving 62 companies or 310 observations. Data analysis was conducted using multiple linear regression via SPSS version 27. The findings of the study indicate that, collectively, the three audit committee characteristic variables, along with the control variables, have a significant impact on financial statement fraud risk. However, when examined individually, the proportion of independent audit committee members, the size of the audit committee, and the frequency of audit committee meetings do not show an influence. Meanwhile, the profitability control variable (ROA) showed an influence on financial statement fraud risk. This study concludes that the extent to which an audit committee can prevent fraud depends not only on quantitative factors such as the number of members or meeting frequency, but is also more influenced by the quality of the audit committee members’ capabilities and commitment in carrying out their oversight duties.

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 study investigates the effect of Corporate Social Responsibility (CSR) disclosure and political connection on corporate tax avoidance among mining companies listed on the Indonesia Stock Exchange (IDX) during the period 2020–2024. As CSR practices increasingly shape stakeholder expectations, questions arise as to whether such disclosures genuinely reflect ethical corporate behavior or are strategically employed to legitimize tax planning. In addition to CSR disclosure, political connection is examined as an external institutional factor that may influence firms’ tax behavior by reducing regulatory scrutiny and enforcement risk. CSR disclosure is measured using the Global Reporting Initiative (GRI) index, while tax avoidance is proxied by the Effective Tax Rate (ETR). Additionally, political connection is identified based on the presence of politically affiliated individuals in the firms’ board list. This study adopts a quantitative approach employing panel data linear regression analysis. The research population consists of mining companies consistently listed on the IDX during the observation period, with samples selected through purposive sampling, having 41 mining companies in total. This study aiming to contribute to academic discourse and practical implications for policymakers, investors, and regulators. The findings found that there are no significant effect between CSR disclosure and political connection on tax avoidance. The results of this study concluded that there are many factors both from internal and external that could affect tax avoidance activity in Indonesia’s mining companies yet was not covered in this study.

This study aims to analyze the regulatory characteristics of the Regulation of the Minister of Home Affairs Number 77 of 2020 as a technical guideline for regional financial management, particularly in examining the tension between its normative nature and mandatory provisions, as well as their implications for regional financial governance. The research employs a normative juridical approach, utilizing both statute and conceptual approaches, complemented by a critical analysis of the regulation’s implementation. The findings indicate that, formally, Regulation No. 77 of 2020 is normative in nature as a guideline; however, in practice, it contains numerous mandatory provisions that bind local governments. These mandatory elements have been shown to enhance accountability and transparency through the standardization of procedures, reporting obligations, and strict supervisory mechanisms. On the other hand, the dominance of detailed rules tends to create policy rigidity, increase administrative burdens, and reduce the flexibility and discretion of local governments in adapting policies to local needs. Furthermore, the study identifies a phenomenon of formalistic or ritualistic compliance, which risks producing symbolic accountability without improving the quality of public services. The effectiveness of the regulation’s implementation is also influenced by disparities in human resource capacity, information systems, and regional fiscal capabilities. Therefore, a balance between mandatory approaches and normative flexibility is necessary to ensure that regional financial governance operates effectively, adaptively, and in accordance with the principles of good governance.

This study examines the impact of carbon emission disclosure, eco-efficiency, and green innovation on firm value among energy sector companies listed on the Indonesia Stock Exchange during 2022-2024. Using purposive sampling, 26 companies were selected based on specific criteria, resulting in 78 observations over the three-year period. The research employs panel data regression analysis with fixed effect model, using Tobin's Q as the proxy for firm value. Carbon emission disclosure is measured using the CDP framework with 18 disclosure items, eco-efficiency is assessed through ISO 14001 certification ownership, and green innovation is evaluated using four indicators based on the OECD framework. The results reveal that green innovation has a significant positive effect on firm value, indicating that Indonesian capital market investors place premium valuations on companies investing in environmental innovation. However, carbon emission and eco-efficiency show no significant impact on firm value. These findings suggest that while sustainability disclosure remains voluntary in Indonesia and lacks standardized frameworks, market participants are more responsive to tangible innovations that demonstrate competitive advantages and regulatory risk mitigation. Simultaneously, all three variables significantly influence firm value, confirming the relevance of comprehensive sustainability practices in value creation.

This study explores how litigation risk influences valuation techniques in mergers and acquisitions (M&A), focusing on discounted cash flow (DCF) models and peer comparables. Through a qualitative synthesis of recent literature, it finds that legal exposure significantly alters valuation strategies—particularly in fairness opinions—prompting conservative estimates to mitigate shareholder lawsuits and regulatory scrutiny. The analysis reveals that litigation risk can distort valuation objectivity, reduce deal premiums, and shift the role of valuation from economic justification to legal protection. This paper contributes to a deeper understanding of the intersection between legal risk and financial valuation in corporate transactions

Group-based learning in the classroom plays a vital role in enhancing social interaction, individual responsibility, as well as students' critical thinking and collaborative skills. However, its implementation often faces challenges such as the dominance of certain members, social loafing, low participation, and interpersonal conflicts that hinder group effectiveness. This study aims to comprehensively examine the dynamics of learning groups by integrating four key aspects: the concept of group dynamics based on the Tuckman model, the characteristics of effective groups in cooperative learning, group formation techniques, and conflict management strategies. The research utilizes a qualitative approach with a literature study method, analyzing 25 sources including nationally accredited journals, academic books, and theses published between 2020 and 2024. Data analysis was conducted through reduction, thematic classification, content analysis, and conceptual synthesis. The results indicate that effective group dynamics can be achieved through the Tuckman stages, the application of the five elements of cooperative learning, the selection of appropriate group formation techniques with risk mitigation, and the implementation of the Thomas-Kilmann conflict management styles.The scientific contribution of this research is the development of an integrative model based on these four aspects, which serves as a conceptual framework to strengthen collaborative learning practices in the classroom. Practical implications include the formation of ideal groups consisting of 4–5 students, the establishment of initial group contracts, the use of dual assessment rubrics (individual and group), and peer evaluation mechanisms to enhance accountability and reflection.

This research investigates how profitability, leverage, activity levels, and company scale impact financial distress in property and real estate firms traded on the Indonesia Stock Exchange. The selection of this sector stems from its high exposure to economic ups and downs, leaving its businesses particularly prone to financial troubles. Independent factors in the analysis include profitability, leverage, activity, and firm size, with financial distress serving as the outcome variable. Samples were drawn via purposive sampling from property and real estate entities listed on the Indonesia Stock Exchange over the 2022–2024 timeframe. Adopting a quantitative design, the study applies multiple linear regression as its core analytical tool. STATA version 17 handled the data analysis. Results show that, taken together, the independent variables exert a significant impact on financial distress. Ultimately, firms should optimize their financial metrics and pursue business growth to mitigate financial distress risks.

This study aims to analyze the comparison of equity-based financing decisions and sukuk from the perspective of Sharia principles in companies in Indonesia. The development of the Islamic capital market in Indonesia shows a significant increase in the use of financing instruments that comply with Islamic principles, thereby encouraging companies to consider funding alternatives that are not only financially efficient but also Sharia-compliant. In the framework of Sharia financial management, capital structure decisions must consider the prohibition of usury, the principle of risk sharing, fairness in risk distribution, and contract certainty. This research uses a qualitative approach with a literature study method thru the analysis of various scientific journals, regulations, and academic sources related to capital structure theory, the concept of Sharia equity, and the characteristics of corporate sukuk in Indonesia. The study results indicate that equity-based financing provides flexibility in capital structure and reflects a risk-sharing mechanism, but it has the potential to cause ownership dilution. Meanwhile, sukuk offers asset-based financing with a clear contractual structure and does not dilute company ownership, although it requires an underlying asset and a more complex issuance process. Comparatively, both instruments have Sharia legitimacy as long as they meet the screening requirements and contract structures applicable in Indonesia. This research emphasizes that corporate financing decisions in Indonesia need to consider the balance between financial efficiency and compliance with Sharia principles.

This studyyaims tooevaluate environmental activities at the Tenggilis Community Health Center by assessing compliance with occupational health and safety, risk management, and environmental health aspects. The method used is descriptiveequalitative with dataacollection through questionnaires, observation,iinterviews, andddocumentation. The analysis was conducted through reduction, presentation, and conclusion drawing. The results of the study show that the Tenggilis Community Health Center has generally met the criteria in each aspect, buttthere are still someeshortcomings. Innthe OSH aspect, training needs to be scheduled immediately. In risk management, all policies need to beeupdated to include the name and signature of theenew head offthe CommunityyHealth Center. In the environmental health aspect, deficiencies were found relateddto the completeness offthe administration of technical approval for wastewater quality standards and permits for B3 waste storage and wastewater treatment plants, which must be resolved immediately.

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 study aims to analyze the impact of the USD/CNY exchange rate and the Federal Reserve interest rate on the stock returns of Volkswagen AG. Volkswagen AG is chosen as the object of analysis because it is a multinational corporation with significant exposure to the Chinese market, making it highly sensitive to fluctuations in global economic conditions, particularly exchange rate movements and monetary policy changes. The study adopts a quantitative research approach using multiple linear regression analysis to examine the relationships between variables. The data used are monthly secondary data covering the period from 2017 to 2023, resulting in 84 observations. The dependent variable in this study is Volkswagen AG stock returns, while the independent variables consist of the USD/CNY exchange rate and the Federal Funds Rate. The empirical results show that the USD/CNY exchange rate has a negative and statistically significant effect on Volkswagen AG stock returns, indicating that currency depreciation or appreciation plays a crucial role in influencing investor sentiment and firm valuation. In contrast, the Federal Funds Rate does not show a statistically significant effect on stock returns during the observed period. However, the simultaneous test indicates that both variables jointly have a significant influence on Volkswagen AG stock returns. Overall, the findings suggest that exchange rate risk is more dominant than U.S. monetary policy in affecting the stock performance of Volkswagen AG over the study period.

Individual behavioral factors are critical determinants of organizational effectiveness and a vital component of modern organizational diagnosis. This study aims to identify and map individual behavioral factors as strategic indicators in organizational diagnosis using a Systematic Literature Review (SLR) approach guided by PRISMA 2020. Analysis of ten selected articles reveals that organizational effectiveness in the digital transformation era is driven by a reciprocal equilibrium between an individual's cognitive infrastructure and volatile work environment demands. The findings synthesize these behaviors into four strategic clusters: psychological well-being as primary infrastructure, digital structural support audits, justice and trust equilibrium, and psychological contract synchronization. This research provides tactical implications for Human Capital practitioners to transform annual diagnostic methodologies toward the implementation of monthly pulse surveys to detect fluctuations in well-being and disengagement intentions in real-time. This predictive diagnostic step is essential to mitigate turnover risks and design precise institutional interventions in hybrid work ecosystems.

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.