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Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

Financial management, both in public and private organizations, is highly vulnerable to fraud and misappropriation of funds. The risk of fraud in financial reporting not only jeopardizes an organization's long-term financial health but also damages the reputation and trust of stakeholders. Professional ethics and integrity are key factors in ensuring good, efficient, and effective financial governance. Weak internalization of professional ethical values ​​among financial practitioners, such as manipulation of financial reports and unauthorized use of official funds, is often a major cause of misappropriation of funds. These cases can significantly harm an organization, as seen in violations of codes of ethics in various large companies. Therefore, strengthening professional ethics in financial management practices is crucial to prevent misappropriation of funds, fraud, or financial manipulation. A strong internal control system, coupled with a good ethical culture, can play a significant role in preventing and detecting these conditions. This study aims to identify factors that support and hinder the implementation of professional ethics in financial management and provide recommendations for improving integrity and accountability in fund management. It is hoped that the results of this study will help organizations strengthen governance, increase transparency, and reduce the risk of fraud through better implementation of professional ethics.

This article aims to provide a comprehensive literature review on how professional ethics can serve as an effective strategy to prevent fund misuse within organizational financial management. Professional ethics is viewed as a set of moral values, behavioral norms, and professional standards that guide financial managers to perform their duties with honesty, responsibility, and without conflicts of interest. In the context of financial management, these duties include recording, budgeting, monitoring, and reporting financial activities, all of which require accuracy and transparency. The study highlights five main principles of professional ethics: integrity, objectivity, professional competence, confidentiality, and professional behavior. These principles clarify rules, strengthen accountability, and ensure that financial processes comply with established standards. The literature review shows that applying professional ethics not only encourages individuals to act correctly but also enhances responsibility, improves performance, and strengthens financial oversight. Integrity and objectivity play a crucial role in preventing report manipulation, budget inflation, and fund misuse, as these principles demand moral courage and fair decision-making. Professional competence ensures that every financial process is carried out accurately and in accordance with regulations, while confidentiality protects sensitive information from misuse. Professional behavior emphasizes adherence to laws, organizational policies, and professional standards. The article also identifies several supporting factors that enable the effective implementation of professional ethics, such as strong internal policies, leadership commitment to integrity, an ethical workplace culture, layered supervision systems, and continuous ethics training. Conversely, common challenges include weak internal controls, limited understanding of ethics, organizational pressure, conflicts of interest, and inconsistent application of ethical standards. Therefore, this article underscores that integrating professional ethics into organizational financial policies, procedures, and management systems is a key step in preventing fund misuse and strengthening stakeholder trust in the organization’s transparency and accountability.

This study analyzes online fraud as one of the most common forms of cybercrime in Indonesia, which has expanded alongside rapid advances in information and communication technology. These crimes utilize digital platforms such as social media, online marketplaces, and fraudulent websites to deceive victims for unlawful financial gain. The research aims to examine online fraud from a criminological perspective by identifying its causes, patterns, and relevance to routine activity theory and differential association theory. A normative juridical method is employed, using statutory, conceptual, and case-based approaches, with qualitative and descriptive analysis. The findings show that online fraud reflects a shift from conventional fraud to digital-based crimes, driven by low public awareness of cybersecurity, easy access to technology, and weak online supervision. Several fraud schemes were identified, including online investment scams, phishing, and identity impersonation. This study highlights the need for an integrated approach that goes beyond law enforcement by emphasizing digital literacy, public education, and cross-sector collaboration to reduce cybercrime in Indonesia.

This study examines the factors that cause fraud in financial reporting. The study analyzed 195 data points from 39 financial institutions listed on the Indonesia Stock Exchange (IDX) during the period 2019 to 2023 using a purposive sampling technique. The research applied multiple linear regression analysis to analyze the impact of governance independence and performance variables on the likelihood of fraudulent financial reporting. The independent variables include financial targets assessed by profitability (return on assets [ROA]), financial stability measured by changes in assets, external pressure measured by the debt-to-equity ratio (DER), and the proportion of independent commissioners as a measure of good corporate governance. The study proves that financial targets affect fraudulent financial reporting, while financial stability, external pressure, and independent commissioners do not influence fraudulent financial reporting. The findings of this study provide valuable insights for regulators, investors, and management to enhance oversight and reduce the risk of fraud in the banking sector.

The purpose of this study is to investigate the connection between the probability of financial statement fraud and the components of the Fraud Hexagon: pressure, opportunity, rationalization, capability, arrogance, and collusion. Additionally, we examine how Environmental, Social, and Governance (ESG) Disclosure functions as a moderator. Banks listed on the Indonesia Stock Exchange (IDX) between 2021 and 2024 are the subject of this study. We make use of secondary data gathered from business sustainability and annual reports. Purposive sampling was used to choose the bank sample depending on the completeness of the data. We use the Partial Least Squares (PLS) method of Structural Equation Modeling (SEM), which works well for evaluating models with complex variables, for the analysis. The results of this study are expected to provide insights into how each element of the Fraud Hexagon contributes to financial statement fraud and how ESG Disclosure can mitigate these risks.

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.

This study investigates the impact of auditor competence and red flag awareness on fraud detection ability, examining the moderating role of professional skepticism. As fraudulent financial reporting poses a critical threat to the integrity of financial disclosures and stakeholder trust, understanding the key factors influencing an auditor's detection capabilities is essential. This study employed a quantitative approach, gathering data from auditors at Public Accounting Firms (KAP) in Bali Province via a four-point Likert scale questionnaire. The data were subsequently analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The findings indicate that both auditor competence and an awareness of red flags significantly and positively enhance fraud detection capabilities. Conversely, professional skepticism, when analyzed for its direct influence, demonstrated a significant negative effect on this ability. Furthermore, skepticism exhibited a complex moderating role: it significantly weakened the positive relationship between competence and fraud detection, while not significantly moderating the link between red flags and detection ability. These results provide crucial theoretical contributions by revealing the nuanced and sometimes counter-intuitive role of professional skepticism. Practically, they inform policy for audit firms and regulatory bodies, suggesting that while fostering competence and red flag awareness is vital, the application of skepticism requires a more sophisticated and refined approach to truly enhance audit quality and overall fraud detection effectiveness.

Artificial Intelligence (AI) has become a significant driver of innovation in the banking sector, especially in the context of post-pandemic digital transformation. AI is widely utilized in areas such as fraud detection, credit evaluation, risk management, and customer interaction, attracting considerable interest from both academics and industry professionals. This research explores the recent advancements in AI within the banking industry, focusing on studies published between 2020 and 2025. A bibliometric approach is employed, using data from the Scopus database and bibliometric tools like VOSviewer and R Studio to visualize keyword networks and track emerging trends. The study aims to identify influential authors, journals, and countries contributing to AI research in banking. By analyzing these developments, the research highlights the contributions of AI to improving operational efficiency, data security, and financial inclusion, particularly in the Indonesian context. This work offers valuable insights into the ongoing integration of AI in the banking sector and its potential to shape future financial services, emphasizing its relevance to both global and regional markets.

The integration of big data in the financial sector has increasingly attracted scholarly attention, particularly in areas such as risk management, fraud detection, algorithmic trading, and investment optimization. Given the rapid development of this field, it is essential to map research trends and identify emerging directions that shape the future of financial innovation. This study applies a bibliometric approach using 3,829 articles retrieved from the Scopus database from 1981 to 2025, with data processed through R Studio and the Bibliometrix-Biblioshiny application. The objective is to explore the intellectual landscape of big data finance and reveal research frontiers as well as thematic evolution. The results show a sharp increase in publications after 2015, alongside the growth of fintech and artificial intelligence applications, with dominant themes including blockchain integration, risk analytics, and predictive modelling. Cross-disciplinary and cross-regional collaborations continue to expand. These findings provide a comprehensive overview of how big data has shaped financial studies and offer insights for potential future research directions.

The interval between 2018 and 2025 represents a defining epoch in financial assurance, characterized by a systemic collision between traditional audit methodologies and the exponential sophistication of fraudulent actors. This research employs a comprehensive library research methodology, utilizing Systematic Literature Review (SLR) to evaluate the evolving landscape of audit and fraud. The study traces the theoretical migration from Cressey’s Fraud Triangle to multidimensional frameworks like the Fraud Pentagon, which emphasizes the roles of arrogance and competence. Through a forensic examination of catastrophic audit failures including Wirecard, FTX, and the emerging risks of crypto-assets, the research identifies recurring patterns of auditor failure in assessing operational risks and internal controls. Furthermore, the report analyzes the dual-edged impact of Artificial Intelligence (AI); while machine learning algorithms offer enhanced detection capabilities, the rise of Generative AI (GenAI) and deepfake technology has empowered perpetrators to execute sophisticated "synthetic reality" frauds. The study critically evaluates regulatory responses, particularly the revision of International Standard on Auditing (ISA) 240, which mandates a more proactive "fraud lens." The findings suggest that the auditing profession faces an existential crisis of relevance, necessitating a fundamental shift toward a forensic mindset supported by advanced technological integration.

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.

Internal control is a crucial aspect for SMEs in maintaining the reliability of revenue recording and preventing the risk of misappropriation. This study aims to analyze the implementation of internal control in the revenue cycle at Exmo Tea Café and to evaluate its effectiveness through internal audit. The research uses a qualitative descriptive approach with data collection through interviews with management personnel directly involved in transactions and financial recording. The analysis is conducted using the COSO framework, which includes five main components: control environment, risk assessment, control activities, information and communication, and monitoring. The research results indicate that Exmo Tea Café has implemented several basic elements of internal control, such as recording transactions through a cashier application, daily cash reconciliation, and reporting to the owner. However, the effectiveness of these controls is still limited because the segregation of duties between receiving and recording is not optimal, risk assessment is reactive, documentation and report archiving are not systematic, and monitoring is conducted informally. In addition, there are no formal policies regarding operational standards (SOPs) or internal audit procedures that could serve as guidelines for continuous control implementation. These conditions have the potential to lead to risks of fraud, recording errors, and delays in financial reporting. Therefore, these findings underscore the need for a comprehensive enhancement of the internal control system, including strengthening the separation of duties, conducting preventive risk assessments, providing employee training related to financial governance, as well as implementing more formal monitoring and documentation. These improvements are expected to increase reporting accuracy, operational effectiveness, and minimize the potential for errors or fraud in the company's financial activities.  

Fraudulent investment is a phenomenon that has become widespread among Indonesian society. The PKK mothers in Rt 5 Rw 2, Gayamsari sub-district, have not yet gained any knowledge or understanding about the dangers of fraudulent investments and their characteristics, nor have they received any knowledge or understanding related to financial literacy that could protect their families from the dangers of fraudulent investments. The PKK of Gayamsari sub-district urgently needs socialization on strategies to prevent being affected by fraudulent investments and to recognize the signs of such investments. In addition to fraudulent investments, they also feel the need to receive socialization about financial literacy and the characteristics of legal and safe investments, so that they can prevent becoming victims of fraudulent investments. Based on the problems that occur, solutions are needed to address them. The purpose of this community service activity is to provide understanding and knowledge about financial literacy so as not to fall into fraudulent investments. Partners are also given an understanding of safe and legal investments to avoid the dangers of fraudulent investments. The expected outcome of this service activity for the mothers of the PKK in Gayamsari sub-district is to understand the importance of financial literacy and the dangers of fraudulent investments along with their characteristics. It is hoped that the PKK mothers in Gayamsari sub-district will be wise in managing family finances by choosing safe investments for the future of their household and family, as well as being able to prevent becoming victims of fraudulent investment scams.

The revision of the State-Owned Enterprises (SOE) Law fundamentally changes the concept of SOE losses by emphasizing that losses incurred in SOE operations constitute corporate losses, not state financial losses. This change has a direct impact on the construction of directors' accountability, which has often been associated with corruption when companies experience losses. This study aims to analyze the provisions of SOE directors' responsibilities based on Good Corporate Governance (GCG) principles within the new regulatory framework, as well as to examine the application of sanctions against directors who violate these principles and cause corporate losses. The study uses normative legal methods with statutory, conceptual, and case-based approaches. The analysis was conducted by examining the provisions of the Limited Liability Company Law, the revised SOE Law, related implementing regulations, and several important decisions, such as those concerning Jiwasraya, Asabri, Garuda Indonesia, and Pertamina-TPPI. The results show that the principles of GCG, fiduciary duty, and the Business Judgment Rule are the primary instruments in assessing directors' actions. Civil and administrative sanctions are the first line of defense for assessing directors' accountability, while criminal sanctions can only be imposed if there is an element of abuse of authority, conflict of interest, or other fraudulent acts. This research emphasizes the need for a clear distinction between business risks and unlawful acts to prevent directors from being criminalized for business decisions made in good faith and in accordance with good corporate governance principles. These findings are expected to serve as a reference in formulating state-owned enterprise policies and promoting more proportionate law enforcement against directors.

The phenomenonoccurring in various universities shows an increase in cases of academic fraud, such as cheating, plagiarism, research data manipulation, and misuse of technology in the learning process. This behavior not only undermines academic integrity, but also has the potential tocreate a mindset of cheating that carries over into the workplace. Integrityis a fundamental value that forms the moral foundation of every aspect oflife, both in education and in the workplace. In the context of higher education, students are expected not only to excel academically,but also to possess honesty, responsibility, and strong professional ethics.Accountants are future professionals who will be directly involved inthe management and financial reporting of organizations. This profession demandsa very high level of honesty and integrity, because the accuracy andreliability of financial reports form the basis for business and public decision-making. However, in practice, there are many cases of accounting fraud, such as budget mark-ups, financial statement manipulation, creative accounting, and data misstatement, which occur due to weak values of integrity and moral responsibilityamong individuals. If dishonest behavior has already been established during college—for example, in the form of cheating, manipulating assignment data, or falsifying lab reports—then the risk of bringing similar habits into the workplace will be even higher. Integrity is a core competency (core comp) that determines a person's quality as an organizational asset

The purpose of this writing is to analyze the enforcement ideally of the criminal act of agreement with a series of lies. This type of research is normative legal research with a legislative approach, a case approach and a conceptual approach. The analysis used in this research is descriptive analysis. The results of the study show that the ideal law enforcement against the crime of agreement with a series of lies must at least pay attention to three main aspects, namely certainty, justice and utility. Therefore, regulatory reconstruction is needed to clarify norms regarding the difference between defaults and fraud, standardize technical guidelines for special investigation of cases of agreements with lies so that the apparatus has a uniform size, strengthen the role of prosecutors in discretion, be able to resolve cases through restorative justice and strengthen legal understanding for the public through legal education or socialization.

This research was conducted at BRI Regional Audit Office Bandung. The purpose of this study is to determine how much influence internal audit and whistleblowing system partially and simultaneously have on fraud prevention. The theories used in this study are agency theory and pentagon fraud theory. The population in this study is all BRI Regional Audit Office Bandung workers. This study used nonprobability sampling techniques using purposive sampling techniques. The sample of this study was all auditors of BRI Regional Audit Office Bandung, which was 41 respondents and data collection using questionnaires. This research uses a quantitative approach with descriptive and verifiative methods. The statistical tests used are validity tests and reliability tests, classical assumption tests, multiple linear regression analysis, correlation coefficient analysis, determination coefficient analysis and hypothesis tests. The results of the analysis were processed using the IBM SPSS Statistics 26 program. The correlation results show that internal audit, whistleblowing system and fraud have a very strong relationship with positive direction. Meanwhile, the results of multiple linear regression analysis show that internal audit and whistleblowing system have a significant effect on fraud prevention both partially and simultaneously.

Digital transformation has reshaped community life by increasing internet dependency in daily communication, financial transactions, and public services. However, this rapid development has also intensified cybersecurity risks, particularly link-based scams and the misuse of Artificial Intelligence (AI). Limited digital literacy at the family level makes communities vulnerable to phishing attacks, personal data breaches, and AI-generated fraud. This community service program aimed to strengthen digital literacy among residents of RW 03 Kalipancur, Semarang, through participatory education focusing on link scam detection and responsible AI usage. The program involved interactive lectures, case discussions, simulations, and pre-test and post-test evaluations with 18 participants from family groups, PKK cadres, and elderly residents. The results showed a significant increase in understanding, from an average pre-test score of 43% to a post-test score of 84%. Beyond knowledge improvement, participants demonstrated increased awareness and behavioral change toward safer digital practices. The findings suggest that community-based participatory approaches effectively enhance family-level digital resilience and can serve as a replicable empowerment model in other communities facing similar digital threats.

This study aims to analyze the effectiveness of Maxim online motorcycle taxi services for students of MAN 4 Pekanbaru City in meeting their daily mobility needs. The location of MAN 4 Pekanbaru City on Jalan Yos Sudarso, one of the routes with a fairly high intensity of large vehicle activity, demands the availability of transportation services that can provide certainty of time, comfort, and safety for students. In this context, the existence of online motorcycle taxis is a relevant transportation alternative in today's digital era. This study uses a descriptive qualitative approach with the aim of describing in depth the experiences, perceptions, and assessments of students' assessments of the quality of Maxim online motorcycle taxi services. Data collection techniques were carried out through interviews with several students of MAN 4 Pekanbaru City who actively use the service in their daily activities, especially for going to and from school. The results of the study indicate that Maxim online motorcycle taxi services are considered quite effective in supporting student mobility, especially in terms of ease of access, time efficiency, and relatively affordable costs compared to other modes of transportation. In addition, the use of digital-based applications provides ease in ordering and transparency of fares. However, the aspects of safety and comfort remain a primary concern for students. Therefore, it is recommended that students use official online motorcycle taxi (ojek) applications to minimize the risk of fraud and other undesirable incidents. Overall, the Maxim online motorcycle taxi service serves as a transportation solution that supports students' mobility needs in urban environments.