Asia Pacific Fraud Journal (APFJ - Association of Certified Fraud Examiners, ACFE)
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303 research outputs found
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Anti-Corruption Education, Is It Important?
Full text linkThe endless phenomenon of corruption proves that the level of public awareness of corruption is still low and anti-corruption education is needed as early as possible to mitigate the occurrence of corrupt practices in Indonesia, including at the higher education level. The urgency of implementing anti-corruption education also needs to begin with individual awareness of the importance of anti-corruption education. This is a preliminary study that aims to measure students’ perception of anti-corruption education in higher education. This study conducted a survey of several students in all faculties at Universitas Kristen Satya Wacana (UKSW) to see the understanding and the importance of anti-corruption education in the university. The result showed that most of UKSW students understand about corruption and any matters related. The students mostly agree that the role of anticorruption education is very important in efforts to prevent corruption. Furthermore, the learning curriculum at UKSW has accommodated anti-corruption education even though it is not yet explicit and specific
ChatGPT: The Future Research Assistant or an Academic Fraud? [A Case Study on a State University Located in Jakarta, Indonesia]
Full text linkChatGPT is an artificial intelligence (AI) technology currently popular among the public. This groundbreaking technological development has reached various fields, including education, where ChatGPT can facilitate learning activities, making them more effective and efficient. However, this development can also be misused and may facilitate academic fraud. This paper aims to understand the benefits and threats of using ChatGPT for educational purposes and its potential misuse for academic fraud. This study involves a literature review of published journals containing pertinent scientific articles and utilizes data processed from questionnaires distributed to students at a university in Jakarta. Our analysis shows that ChatGPT is useful in several ways, including providing ideas and frameworks for researchers, supporting access to various types of literature, constructing abstracts, formulating research questions and hypotheses, and detecting grammatical errors. In contrast, significant risks are associated with using ChatGPT, particularly in research. These risks include plagiarism, ethical concerns, integrity issues, and the potential inaccuracy of data generated by ChatGPT. Therefore, further validation is needed. Consequently, our analysis also indicates that using ChatGPT to write scientific articles or for closed-book exams is considered academic dishonesty
The Effect of Hexagon Fraud Theory on Financial Statement Fraud with Audit Committee As a Moderating Variable
Full text linkIncreased competition forces companies to prepare accurate financial statements. However, this situation also encourages unethical practices, such as financial reporting fraud or manipulation. By analyzing the audit committee’s function as a moderating variable, this study seeks to ascertain the impact of the notion of fraud on financial statement fraud. Six elements make up the theory: opportunity, pressure, capability, hubris, rationalization, and collusion. Financial statement fraud is quantified using the F-Score Model. Forty-three construction businesses that were listed on the Indonesia Stock Exchange between 2020 and 2022 are included in the sample. A component of the selection process was purposive sampling. Statistical Product and Service Solutions version 25 was used to process the results of the moderating regression analysis. The findings indicate that while opportunity, rationalization, and arrogance have little influence on financial statement fraud, cooperation does. On the other hand, capability and pressure have a beneficial impact. Furthermore, the audit committee does not regulate financial statement fraud via rationalization and arrogance; Rather, it does so through pressure, opportunity, capacity, and collaboration. Businesses should consider the factors that affect financial statement fraud detection, according to the study’s findings
Decoding the Language of Deception: A Textual Analysis of Fraud Trends in News Media with Advanced NLP Technique
Full text linkThis research aims to unveil the extent and nature of deception in news media outlets, employing advanced natural language processing (NLP) techniques. NLP has reached an exciting point in its development, which has made it a key tool for analyzing large scale textual data across industries. As a result, fraud detection has become one of the most important use cases of NLP because it can reveal hidden patterns and linguistic indicators. The traditional analysis of fraud is usually based on financial and transactional data, but the analysis of text provides a new view to the way language affects the perception of trustworthiness and deceit. Through integrating various methodologies such as sentiment analysis, topic modeling, and named entity recognition, the investigation meticulously analyzes news articles to identify subtle linguistic indicators of fraudulent behavior. Utilizing specialized NLP software packages like VADER, spaCy, Gensim, and NLTK, the study effectively detects intricate patterns in the representation of fraud within media narratives and monitors shifts in public attitudes towards deceitful actions. The results reveal distinct linguistic patterns and trends in the portrayal of fraud, offering novel insights into the media’s role in shaping public perception of deception. These findings provide significant contributions to the theoretical framework of AI-driven news analysis and have practical implications for journalism and policymaking. This research not only sets new benchmarks in media monitoring and analysis by merging computational linguistics with fraud detection techniques but also plays a crucial role in enhancing the integrity of information dissemination and fostering a more accurately informed public sphere
Diving Deeper to The State Administrator Asset Report (Laporan Harta Kekayaan Pejabat Negara - LHKPN): From Public Perception to Data Analytics
Full text linkThis research aims to portray public perceptions towards The State Administrator Asset Report - Laporan Harta Kekayaan Pejabat Negara (LHKPN) as one of the corruption eradication tools. Further, it summarizes public perception on the LHKPN’s information quality and its effectiveness. In selecting the respondents, this research applies purposive sampling technique. Respondents of this research are individuals aged over 26 years old who live in 3 cities, namely: Jakarta, Surabaya, and Makassar. This research concludes that the public has concerns regarding the quality of data reported into the LHKPN. Public also negatively perceive the effectiveness of the LHKPN’s as a tool for eradicating corruption in Indonesia. To improve such a situation, it is proposed to use digital technologies (e.g., data analytics, big data) to perform detailed analysis on the information contained in the LHKPN. Such a measure is expected to be able to detect any possible red flags. The research also noted that the involvement of civil society to monitor the LHKPN is encouraged
Corporate Governance as a Detector of Financial Statement Fraud: Systematic Literature Review
Full text linkFinancial reporting fraud occurs when someone misunderstands the financial condition of a company deliberately or not. One of the causes of financial statement fraud is poor governance. This study aims to describe the development of corporate governance research as a detector of financial statement fraud. The method used in this study is Systematic Literature Review. Publish or Perish (PoP) software is used to search for articles. Based on the synthesis results, there are five corporate governance structure mechanisms that can detect financial statement fraud: auditor, board of directors, internal control, shareholders, and performance. The synthesis results show that each corporate governance structure mechanism has not been able to work together to detect financial statement fraud. Therefore, there is a need for cooperation to minimize financial statement fraud. Future research is expected to use more data to increase understanding of how companies detect financial statement fraud by accessing e-resources such as Elsevier, Springer, Emerald Insight, and Wiley. Meanwhile, Scimago can be used to assess the quality and ranking of journals
Analysis of Fraud Patterns in Islamic Banking Transactions: Strategies and Implementation of Prevention
Full text linkThe research aims to analyze patterns of fraud in Sharia banking transactions and identify effective prevention strategies. The method used is a qualitative approach with case study data collection. The research findings reveal various common patterns of fraud, such as identity theft, document forgery, transaction manipulation, and misappropriation of funds. Factors such as weaknesses in the transaction system, weak security policies, and lack of employee training influence the occurrence of fraud. Prevention strategies that can be implemented include early detection systems, strict security policies, employee training, and cooperation with authorities. It is hoped that the research findings can assist Sharia banks in enhancing transaction security, protecting customers, and minimizing fraud risks
Revealing Fraudulent Practices in Management of Community Group Regional Grant Funding
Full text linkGrant funds are a Provincial Government program that is disbursed to recipients of grant funds, namely community groups, to improve community welfare through infrastructure development such as road asphalting, concrete rebates, retaining walls, and other programs. This research aims to describe fraudulent practices in managing regional grant funds for community groups starting from planning, implementation, and accountability. This research uses descriptive qualitative methods by collecting data through interviews, observation, and documentation. The results of this research found that the fraudulent practice of managing regional grant funds for community groups began when the proposal was ratified, where there was an act of gratification aimed at speeding up the ratification of the grant fund proposal. During the disbursement of grant funds, unreasonable deductions were practiced by community group coordinators. This practice was carried out for the management of community groups starting from submitting proposals to preparing accountability reports. Fictional physical development activities have a strong backing, the aim is to embezzle and profit from the grant budget. Furthermore, grant fund fraud actors colluded with related agencies so that physical construction that did not comply with budget plans escaped supervision
The Convergence of 5.0 and Forensic Accounting: Leveraging Blockchains for Effective Corruption Prevention in Indonesia
Full text linkThis research aims to investigate the great potential of blockchain technology as a prevention tool effective corruption in Indonesia by combining blockchain technology and forensic accounting practices. This research will involve in-depth literature analysis to explore understanding of the basic concepts of blockchain and how this technology can be used in forensic accounting practice for prevention corruption. The results of this study are expected can provide deep insight into how blockchain technology can be used as a preventative tool effective corruption in Indonesia. We plan to produce a model that can provide guidance practical for government agencies, organizations, and accounting practitioners in adopting and implementing blockchain in an effort prevention corruption. This research will provide a foundation theoretical and practical use of blockchain as a preventative tool potential corruption in Indonesia