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White-collar crime poses significant threats to corporate integrity and economic stability, particularly in emerging markets where governance structures may be less developed. This study examines the effectiveness of corporate governance mechanisms in preventing white-collar crime in emerging market contexts. Using a mixed-methods approach combining quantitative analysis of 240 publicly listed companies across five emerging markets and qualitative case study analysis of 25 corporate fraud cases, this research evaluates the relationship between governance mechanisms and crime prevention effectiveness. The study reveals that strong board independence (β = -0.312, p < 0.001), robust internal audit functions (β = -0.267, p < 0.01), and comprehensive compliance programs (β = -0.298, p < 0.001) significantly reduce white-collar crime incidence. Companies with comprehensive governance frameworks show 58% lower fraud rates compared to those with weak governance structures. The research concludes that emerging markets can significantly reduce white-collar crime through strategic implementation of governance mechanisms, particularly emphasizing board independence, internal controls strengthening, and compliance culture development.

This research aims to examine the effect of the Fraud Hexagon dimensions on fraudulent financial reporting (FFR) in the banking sector in Indonesia, as well as analyze the moderating role of information technology (IT) adoption. Using a quantitative approach, this research using secondary data with purposive sampling technique to select 43 banks listed on the Indonesia Stock Exchange during the period 2020 to 2023. Financial reporting fraud is measured using the F-Score model, and the analysis technique used is PLS-SEM with WarpPLS 7.0 tools. The results showed that the opportunity (Ineffective Monitoring), and capability (CEO Change) had a positive effect in increasing the possibility of fraudulent financial reporting. Furthermore, IT adoption does not moderate the relationship between any of the Fraud Hexagon elements and FFR. These findings make an important contribution to the development of understanding of fraudulent financial reporting through fraud hexagon framework and technological approaches. The results of this research provide insights for banking regulators, auditors, and corporate policy makers in designing more effective fraud detection and prevention strategies.

The management of village funds in Indonesia is a crucial issue due to the high potential for fraud at the village level, despite the fact that the funds distributed each year continue to increase. In Sojol Subdistrict, Donggala Regency, cases of corruption involving village officials show that even though regulations have been established, practices in the field are still prone to irregularities that directly impact the welfare of the village community. This study aims to examine the influence of moral sensitivity, whistleblowing systems, official competence, and organizational culture on fraud prevention in village fund management. This study uses a quantitative approach, with data collected through a questionnaire distributed to 54 respondents consisting of village officials and members of the Village Council (BPD). The results of this study indicate that moral sensitivity, whistleblowing systems, official competence, and organizational culture simultaneously have a significant impact on fraud prevention in village fund management, although the level of influence of each varies. This underscores the importance of moral integrity and reporting systems, as well as strengthening competence and organizational culture at the village level.

The purpose of this study is to determine the effect of apparatus competence, internal control and financial systems on fraud prevention in the management of village fund financial reports in Rokan Hulu Regency. In addition, this study also tests individual morality as a moderating variable for the relationship between internal control and financial systems on fraud prevention in the management of village fund financial reports in Rokan Hulu Regency. This research design uses a quantitative approach with the type of primary data that is the sample of village officials from 139 villages in Rokan Hulu Regency. The sample determination was done using the Cluster random sampling technique. The minimum sample in this study was 246. The data analysis technique used in this study uses SEM (Structural Equation Modeling) with the help of IBM-Amos software. The results of this study indicate that internal control and financial systems have an effect on fraud prevention, but the competence of the apparatus does not have an effect on fraud prevention. In addition, individual morality is not able to moderate the effect of the competence of the apparatus and financial systems on fraud prevention. However, it is able to moderate the effect of internal control on fraud prevention.

Organizational fraud represents a significant global challenge, with estimated annual losses of 5% of revenue, totaling approximately US$4.7 trillion worldwide. This systematic literature review examines whistleblowing effectiveness as a fraud detection mechanism, analyzing the tension between its role as a transparency pillar and the retaliatory risks faced by whistleblowers. The study employed a qualitative Systematic Literature Review methodology, analyzing 25 peer-reviewed articles published between 2020-2025 from SINTA, Scopus, and registered E-ISSN journals. Literature was selected using keywords related to whistleblowing effectiveness, fraud detection, transparency mechanisms, and retaliation risk. Results demonstrate that whistleblowing systems significantly enhance fraud detection and prevention across both public and private sectors, with 24 of 25 reviewed studies confirming positive impacts. Effectiveness is influenced by individual attitudes, perceived behavioral control, organizational commitment, professional commitment, moral reasoning, and organizational culture. The integration of whistleblowing with forensic and investigative audit mechanisms creates a mutually reinforcing fraud detection framework. However, retaliation risk remains a substantial challenge, potentially undermining whistleblowing effectiveness. The study concludes that organizations must develop comprehensive whistleblower protection frameworks, cultivate supportive organizational cultures, ensure transparent report handling processes, and leverage technology to guarantee anonymity. A balanced approach between promoting transparency through whistleblowing and protecting whistleblowers from retaliation is essential for maximizing fraud detection effectiveness. Organizations are advised to integrate whistleblowing into comprehensive anti-fraud strategies with adequate protection mechanisms and whistleblower incentives.

This study aims to provide information about the responsibility of the Financial Services Authority (OJK) in dealing with investment fraud that often harms the community/consumers. Several cases of fraud cannot be properly identified by the Financial Services Authority, actions are taken after the investment institution is proven to have committed fraud. The research method used in this study is normative research strengthened by primary data regarding investment cases. The results of the study indicate that the responsibility of the Financial Services Authority is only in the form of administrative freezing after a fraud case occurs and cannot be requested for material losses because investment is in the private contract area so that it has not been carried out optimally. Legal protection carried out by the Financial Services Authority in the form of prevention, can be done with information services, education, and the existence of a kind of intelligence that actively seeks information on mass investment fraud information in the early stages (up liner).

Fraud poses a significant threat to organizational integrity and public trust, especially within governmental institutions. This study explores the critical role of forensic accountants in uncovering fraud within the Audit Board of the Republic of Indonesia. Using a case study approach, the research examines the application of advanced forensic data analytics by forensic accountants. It highlights the essential skills and characteristics that make forensic accountants effective, as well as their contributions to enhancing internal controls and governance mechanisms. The study demonstrates the impact of forensic accounting on fraud detection, prevention, and deterrence. The findings emphasize the importance of integrating forensic accounting expertise within the Audit Board's operational framework to strengthen its capacity to combat financial fraud. It also identifies challenges faced by forensic accountants, such as technological limitations and cultural resistance, and suggests strategies to overcome these barriers. By shedding light on the role of forensic accountants in safeguarding public sector integrity, this research contributes to the growing knowledge on forensic accounting practices in Indonesia. The insights can inform policies and capacity-building initiatives aimed at improving the Audit Board’s fraud detection capabilities, ultimately fostering greater public trust and accountability.

This research focuses on assessing the efficacy of a method that integrates Convolutional Neural Networks (CNN) with Decision Trees for the detection of phishing URLs. Phishing represents a major cyber threat, where cybercriminals attempt to deceive individuals into disclosing sensitive information via fraudulent websites. As the frequency of phishing attacks continues to rise, there is a pressing need for effective detection and prevention strategies. In this investigation, a dataset comprising both phishing and legitimate URLs was utilized to train a CNN-Decision Tree model. The training phase includes feature extraction from URLs using CNN, which excels at identifying intricate patterns within the data, followed by classification through Decision Trees, recognized for their capacity to deliver straightforward and comprehensible interpretations of classification outcomes. The model's performance was evaluated across nine distinct scenarios to assess its effectiveness under varying conditions. The results indicated that the hybrid CNN-Decision Tree model achieved a precision rate of 94%, a recall of 90%, and an F1-Score of 92%, with an overall accuracy of 93%. These findings suggest that the model is not only proficient in identifying phishing URLs but also maintains a commendable balance between precision and recall. This research highlights that the synergy of CNN and Decision Trees can serve as a potent solution for phishing URL detection, significantly contributing to the advancement of enhanced cybersecurity systems.

This research empirically investigates the important distinction between fraud identification and forensic accounting in the Nigerian public sector. The study utilized a research survey design with a sample size of 100 respondents, including accountants and auditors from four ministries selected from the Federal Capital Territory (FCT) of Abuja, Nigeria. The primary statistical method employed to test the hypotheses was Analysis of Variance (ANOVA). The research found that forensic accounting is an effective tool in detecting fraud within the Nigerian public sector. It was also revealed that there is a strong correlation between forensic accounting and litigation support services, which play a crucial role in Nigerian courts in handling fraud cases. Additionally, the study highlights the role of forensic accounting in preventing fraudulent activities by enhancing transparency and accountability. Based on the findings, the study recommends that the public sector adopts a robust and transparent accounting system that ensures effectiveness in fraud detection and prevention. Furthermore, there is a need for continuous improvement in the internal control systems within government agencies to detect and prevent fraudulent behavior proactively. The research also stresses the importance of public sector officials embracing core values such as integrity, objectivity, fairness, and accountability in their operations. Finally, it is crucial for forensic accountants to receive specialized training in forensic accounting techniques and procedures to better detect and resolve fraud cases in the public sector. These actions will contribute to reducing fraud levels and improving the overall governance of Nigeria’s public sector.

Fraud in the government sector is a serious issue that can threaten the stability and efficiency of governance. This study aims to analyze the role of internal government auditors in mitigating fraud risk. The method used is a literature review with a qualitative descriptive approach, examining 10 relevant journals. The results indicate that internal auditors play a crucial role in detecting and preventing fraud by thoroughly examining internal control weaknesses and utilizing modern technology such as Whistleblowing Systems. The effectiveness of internal audits is supported by strong leadership and high awareness of fraud risks, as well as appropriate structural reform policies. The study concludes that effective internal auditing is essential in enhancing transparency and accountability and recommends the need for comparative analysis across regions to evaluate the diversity of internal audit practices. Additionally, further research is needed to explore the impact of information technology and Whistleblowing Systems in fraud prevention, as well as the role of leadership and organizational culture in supporting the internal audit function.

This study aims to analyze the role of forensic audit, proactive fraud audit, good corporate governance (GCG), financial reporting compliance, organizational culture, human resource (HR) competency, and whistleblowing system in preventing fraud. The method used is a literature review with data sources from academic literature, scientific journals, and reliable reports. The results of the analysis show that forensic audit is effective in identifying and resolving fraud cases through in-depth investigations of the organization's financial system. Proactive fraud audit supports early detection by analyzing potential risks before violations occur. Good GCG implementation increases transparency and accountability, while compliance with financial reporting helps maintain data integrity and prevents manipulation. An organizational culture that prioritizes ethics and integrity, as well as adequate HR competency, creates a strong foundation to minimize the risk of fraud. In addition, a safe and confidential whistleblowing system allows for fearless reporting of violations, thereby strengthening early detection. The combination of these factors forms a comprehensive and effective approach to preventing fraud, providing significant benefits to organizations in building stakeholder trust and maintaining the sustainability of their operations .

This Research Aims To Examine The Influence of Forensic Audit, Anti-Fraud Awareness, External Audit, Individual Morality, And Fraud Knowledge On Fraud Prevention In Organizations. Fraud is a common problem That Often Occurs in Companies Financially and Financially. Using A Literature Review Approach, This Research Compiles And Examines Various Previous Studies Related to Understanding The Relationship Between These Factors. The Results of the Study Show That Forensic Audits Are A Determining Factor in Detecting and Preventing Conditions by Strengthening Supervision and Transparency. Understanding Anti-Fraud Among Employees Is Proven To Strengthen Compliance With Existing Procedures And Provisions. Additionally, External Audits Provide Independent Assessments That Can Reduce Financial Risks. Individual Morality Contributes to the Selection of Ethical Decisions, While Knowledge of Fraud Strengthens The Ability of Individuals and Organizations to Recognize and Prevent Acts From Occurring. These Fings Call for Integrating All of these Factors Into Fraud Prevention Strategies to Create a Safer and More Accountable Environment. It is hoped that this Research Will Provide Insight for Practitioners and Scientists in Designing Effective Policies to Prevent Fraud in Various Sectors.

Focus study This is how forensic audits , internal control , whistleblowing systems , good corporate governance (GCG), and culture organization have an impact on fraud prevention in a organization . Fraud is problem big that can cause loss financial big and destructive reputation company . Research this , based on review comprehensive literature , finding​ that forensic audits are very helpful prevent fraud . Forensic audit use the intended technique For detect fraud . Good internal controls are also important. For build a system that can supervise and manage source Power organization with good , reduce possibility fraud . In addition , the whistleblowing system is considered as tool important For prevent fraud because allows people to report Allegation violation without worry will consequence negative . The study also found that culture strong organization​ can help prevent fraud with create environment work that is moral and transparent . Many studies show that positive culture​ can increase awareness and compliance to policy fraud prevention . As a result , research This suggest that the organization minimize fraud risk with implementing forensic audits , strong internal controls , and a culture of good organization . The result will become more organization​ healthy , transparent and accountable .

Fraud in digital transactions has become a serious issue threatening the security and integrity of the fintech and e-commerce sectors. To address this problem, machine learning technology has emerged as an effective solution for automatically detecting anomalies and fraudulent transactions. This study aims to analyze the application of machine learning algorithms, specifically Support Vector Machine (SVM), Random Forest, and Ensemble Learning, in detecting fraud in digital transactions. The research adopts a quantitative approach with experimentation, testing the effectiveness of the three algorithms using a digital transaction dataset consisting of both fraudulent and non-fraudulent transactions. The results show that the Random Forest algorithm performs the best in terms of accuracy and recall, followed by Ensemble Learning, which enhances fraud detection performance by combining multiple prediction models. Meanwhile, SVM demonstrates satisfactory performance but is prone to overfitting issues when handling large and complex datasets. The study also finds that the problem of imbalanced data can affect model accuracy, and data balancing techniques such as oversampling are required to improve fraud detection performance. Overall, the findings suggest that machine learning, particularly Random Forest and Ensemble Learning algorithms, can be relied upon to improve fraud detection in digital transactions. However, challenges such as model interpretability and the need for periodic algorithm updates still need to be addressed to enhance the effectiveness of fraud prevention systems in countering the ever-evolving nature of fraud.

This study aims to determine the magnitude of the influence of Internal Control and Auditor Independence on Fraud Prevention at Public Accounting Firms in South Jakarta. This study uses a quantitative research method. The data source used is primary data. Data collection techniques in the form of questionnaires. The sample collection method in this study is non-probability sampling. There are 70 respondents consisting of 9 public accounting firms in South Jakarta. The results of the study show that the calculated t value is greater than the t table value of 3.778> 1.667, meaning that Ho is rejected and Ha is accepted. This means that the Internal Control variable (X1) significantly influences Fraud Prevention (Y). Based on the calculated t value greater than the t table value (4.126> 1.667), meaning that Ho is rejected and Ha is accepted. This means that the Auditor Independence variable (X2) significantly influences Fraud Prevention (Y). From the calculation results with SPSS 25.0, it was found that the coefficient of determination (Adjusted R Square) was 0.723. This indicates that the Internal Control Variable Auditor Independence Variable affects the Fraud Prevention Variable by 72.3% and the remaining 27.7% is explained by other factors (other variables) that were not examined in this study.

The use of artificial intelligence (AI) in banking has grown rapidly in recent years, providing opportunities and challenges in dealing with it. AI in the banking world is expected to facilitate use, strengthen customer data security, and optimize risk management. This article aims to analyze the level of customer user experience towards banking services by utilizing artificial intelligence (AI). The analysis technique used in this study is descriptive with a quantitative approach, involving 100 respondents of various ages, various jobs and various educational backgrounds. The main requirement for respondents is that they are customers of various conventional banks in Ponorogo Regency who have used artificial intelligence (AI)-based banking services. Data were collected through questionnaires supplemented with secondary data in the form of documents related to the implementation of artificial intelligence in the banking service system. The application of AI in the banking sector is the detection and prevention of fraudulent transactions in real time, identity verification through biometrics, identity verification through biometrics, chatbots and virtual assistants for customer service, detecting suspicious activity, and the use of smart wallets. The findings in this study explain that artificial intelligence (AI) is able to increase the efficiency of services to customers, provide a better experience, and improve the quality of banking services. Customers are greatly helped by the use of artificial intelligence (AI)

Penelitian ini bertujuan untuk mendapatkan bukti empiris mengenai pengaruh tekanan (pressure), peluang (opportunity), rasionalisasi (rationalization), dan kapabilitas terhadap pencegahan kecurangan (fraud prevention), serta peran moderasi nilai etika dalam hubungan tersebut. Menggunakan desain penelitian kausal, data dikumpulkan melalui survei menggunakan kuesioner kepada 311 pimpinan dan karyawan Grup PT. Asvia Laguna Medis. Analisis dilakukan dengan metode kuantitatif untuk mengevaluasi hubungan antar variabel. Hasil penelitian menunjukkan bahwa tekanan, peluang, rasionalisasi, dan kapabilitas memiliki pengaruh positif dan signifikan terhadap pencegahan kecurangan. Selain itu, nilai etika memperkuat pengaruh tekanan terhadap pencegahan kecurangan, namun memperlemah pengaruh peluang, rasionalisasi, dan kapabilitas terhadap pencegahan kecurangan. Kesimpulan dari penelitian ini adalah bahwa faktor-faktor internal seperti tekanan, peluang, rasionalisasi, dan kapabilitas penting dalam mencegah kecurangan, dan nilai etika memainkan peran kritis dalam memoderasi hubungan ini.

Preventing acts of corruption in the office environment involves a series of strategic steps to create a culture of transparency and accountability. These efforts include implementing a code of ethics, training on integrity, and strict supervision of the decision-making process. In addition, the application of information technology to monitor financial transactions and reports can help detect potential fraud. By building awareness and commitment of all employees towards preventing corruption, organizations can increase public trust and create a healthier work environment. Preventing acts of corruption in the office environment is a crucial step in creating good governance and improving institutional integrity. Corruption can hinder economic growth and damage public trust. To prevent this, a comprehensive approach is needed, including implementing transparency policies, strengthening supervisory systems, and ethical education for employees. In addition, an organizational culture that supports openness and accountability must be built. This research discusses effective strategies that can be implemented to minimize the risk of corruption, including the use of information technology and participation in community oversight. The results are expected to provide recommendations for government and private agencies in strengthening efforts to prevent corruption

The main aim of this social service is awareness and deeper understanding of the dangers of drugs, their legal and health impacts, as well as inspiring positive changes in attitudes and behavior in social settings among the younger generation and the general public. The service method used is legal advice, including legal sources from the police, doctors and public health workers. Activities carried out through communication include discussions, presentations and comparisons of legal aspects related to drugs. The results of this service show that anti-fraud training has succeeded in achieving its goals. Participants saw increased awareness of illegal drugs, their negative impact on health, and the legal consequences they face. Participants felt more responsible for their personal and community health. Information provides insight into prevention strategies to help participants develop healthy lifestyle skills and avoid high-risk behaviors.

Fraud is an act in which a person or group of people creates a false impression so that others believe something that is not true. knowing the many benefits of cyberfraud socialization activities, the KKN MIT 18 Posko 71 UIN Walisongo group conducted a study on the prevention of online fraud or cyberfraud in Pucangrejo village. This research uses descriptive qualitative research methods and students describe the social conditions observed specifically and in depth. The location of this research field has been determined by the scope of the research object