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Fraud detection is used in various industries, including banking institutes, finance, insurance, government agencies, etc. Recent increases in the number of fraud attempts make fraud detection crucial for safeguarding financial information that is confidential or personal. Many types of fraud problems exist, including card-not-present fraud, fake Marchant, counterfeit checks, stolen credit cards, and others. An ensemble feature selection technique based on Recursive feature elimination (RFE), Information gain (IG), and Chi-Squared (X2) in concurrence with the Random Forest algorithm, was proposed to give research findings and results on fraud detection and prevention. The objective was to choose the essential features for training the model. The Receiver Operating Characteristic (ROC) Score, Accuracy, F1 Score, and Precision are used to evaluate the model's performance. The findings show that the model can differentiate between fraudulent transactions and those that are not, with an ROC Score of 95.83% and an Accuracy of 99.6%. The F1 Score of 99.6%% and precision of 100% further sustain the model's ability to detect fraudulent transactions with the least false positives correctly. The ensemble feature selection technique reduced training time and did not compromise the model's performance, making it a valuable tool for businesses in preventing fraudulent transactions.

White collar crime is increasingly prevalent in various corporate sectors and causes significant financial losses and damage to public trust. This type of crime includes embezzlement of funds, manipulation of financial statements, bribery, insider trading in the capital market, and theft of customer personal data. Although it occurs a lot, the prevention of white collar crime is still not optimal and the perpetrators are rarely prosecuted properly. This paper aims to analyze the various determinants that influence the occurrence of white collar crime in order to formulate policy recommendations and prevention strategies in the future. A systematic approach is used by applying the fraud triangle theory which focuses on the three main elements that cause fraud, namely pressure, opportunity and rationalization. The results of the study show that pressure to meet high performance targets and large bonuses often encourage individuals to commit fraud. Meanwhile, weak supervision and lack of transparency create opportunities for fraud. Perpetrators also often justify their actions, for example by assuming that they will not be caught or the value of the loss is small. The complexity of modern corporate operations also increases opportunities for white-collar crime. Effective prevention efforts must be comprehensive by involving various parties and strengthening a number of aspects as controls. The role of internal and external supervisors (auditors) of companies needs to be continuously improved, supported by modem fraud detection technology tools. Whistleblowing mechanisms need to be strengthened in every company and kept confidential to encourage early reporting of fraud indications.

Technological developments are currently widely used by some people to commit cyber crimes, especially in this case using the .apk file. Android Package Kit / APK is an application format for Android-based smartphones. The number of victims arising from the phenomenon of file.apk fraud, so understandably there are still many who don't know about file.apk fraud. Therefore the designer makes a design for a media campaign as a means of preventing the phenomenon of file.apk fraud. The design method used is Design Thinking which is based on data obtained through questionnaires, documentation, and literature studies regarding the phenomenon of file.apk fraud. In the problem solving process, apply the 5W+1H analysis (what, who, when, why, where, and how). This design produces prevention media in the form of infographic posters.  

This study aims to analyze the effect of human resource competence and individual morality on fraud prevention in village fund management. The sampling technique uses a purposive sampling technique. The data source used in this study is primary data, namely data obtained directly from respondents using a questionnaire. The sample in this study amounted to 40 respondents. Data processing in this study used the SPSS program. This study uses quantitative methods with multiple linear regression analysis techniques and hypothesis testing using the f test and t test. The results of this study indicate that human resource competence (X1) has a significant effect on fraud prevention in managing village funds (Y). Meanwhile, individual morality (X2) has a significant influence on fraud prevention in managing village funds (Y). Simultaneously the two independent variables, namely the competence of human resources and individual morality, simultaneously affect the dependent variable, namely the variable of fraud prevention in managing village funds.

This research examines more deeply the analysis of legal certainty for victims of Doni Salmanan's fraud in trading through an application called QUOTEX. In relation to the decision of the Bale Bandung District Court number 576/Pid.Sus/2022/PN BlB, in which the Panel of Judges gave a verdict of imprisonment and confiscation of assets owned by the defendant generated through trading by utilizing his victims for profit and the assets were confiscated by the state. However, in the verdict there was no decision at all to provide compensation to the victim of Doni Salmanan's fraud, in this case the element of legal justice for the victim was not fulfilled by this decision. However, the aspect of legal certainty for the victim is very strong so that the defendant gets a death sentence and a fine for his actions. The legal certainty in question is a guarantee that the law is carried out properly in processing the rights and obligations of the defendant for his crime. Material law as an element of legal certainty has been carried out and linked to various laws and regulations relating to the case. Law No. 8/1999 on Consumer Protection for the losses suffered by the victim as a consumer, Law No. 19/2016 on the Amendment to Law No. 11/2008 on Electronic Information and Transactions because the case involved electronic networking devices, and Law No. 8/2010 on the Prevention and Eradication of the Crime of Money Laundering because in the prosecution the defendant was deemed to have disguised his wealth generated through criminal acts.

Along with the rapid development of information technology, customer interaction with BCA digitally has also increased. This is followed by the risk of technology crime, so BCA continues to improve its information technology security system. The development of BCA's data security system is carried out with the aim of protecting data security and ensuring information technology systems are always ready to serve customer transactions, including preventing and anticipating cybercrimes and potential fraud. National vital objects have an important role in the life of the nation and state, both in terms of economic, political, social, cultural, defense, and security aspects. National vital objects also have a quite strategic role in national development. Data Loss Prevention (DLP) is a data security strategy implemented by BCA on an ongoing basis to increase the security of important electronic information from information theft or access by unauthorized parties. To ensure security in accessing BCA's internal applications that are connected to the internet, BCA applies additional security in the form of two-factor authentication to ensure access to the application is carried out by the right person. BCA has also used a data classification solution to ensure that every piece of data in the company is classified according to the level of data confidentiality.

Research on crime in Bandar Lampung can make an important contribution to the development of government policy in dealing with crime. In addition, this research can also provide a clearer view of what types of crimes occur most frequently in this city and who is more vulnerable to becoming a victim of criminality. In this study, the researcher will use a qualitative approach by conducting in-depth interviews with various related parties such as security forces, the community, and crime victims. This research will try to identify the factors that cause the high crime rate in Bandar Lampung, such as social, economic, cultural, and environmental factors. The results show that the crime rate in Bandar Lampung is quite high. Based on the data obtained, the most common types of crime in the city are robbery, theft with violence, fraud, persecution, and narcotics. Therefore, understanding these types of crimes is important to help increase public awareness about the importance of keeping themselves and their property safe. The results show that crimes occur more frequently at night and in densely populated areas. Based on the results of the research conducted, it can be concluded that the crime rate in Bandar Lampung is quite high. The most common types of crime are violent crime and theft.

This study aims to determine the role of information technology in public sector accounting in preventing fraud that occurs in public sector organizations. The research conducted was a literature review research based on articles appropriate to the research topic for further analysis. The result of this research is that there are fraud prevention methods which include technical strategies and preventive strategies. The technical strategy includes efforts to prevent fraud through the use of privacy officer services, IoT access, managing data access, establishing timely reporting, and controlling data in real time. The preventive strategy is in the form of developing a fraud detection system that is run using machine algorithms, data mining, and meta learning methods.