The increase in the number of internet users in Indonesia as much as 175.4 million as recorded in the Datareportal.com report and 4.83 billion globally, impact the increase in the number of cyber fraud cases. Data states that 96% of fraud cases are not resolved due to fraud methods carried out online and make it difficult for legal officers to obtain evidence. Previous fraud investigation research mainly focused on fraud detection, so this research focuses on submitting a framework for investigating cyber fraud cases. The cyber fraud case requires a new framework for investigation because in this fraud case, there is digital evidence that is very prone to be damaged, lost, or modified, which makes this case unsolved. This research aims to develop a framework that is expected to help auditors to uncover cases of cyber fraud so that resolved cyber fraud cases can increase. The method used in making this framework uses Jabareen's conceptual framework development method, which consists of 6 stages, namely, Mapping the selected data source, extensive reading and categorizing of the chosen data, Identifying and naming objects, Deconstructing and categorizing the concept, Integrating concept, Synthesis, resynthesis. And make it all sense. The framework for cyber fraud investigation uses 22 digital forensic frameworks and eight frameworks for fraud audit investigations. The results of developing a framework using the Jabareen method resulted in 8 stages, integrating various concepts selected from digital forensics and fraud audits. Evaluation of framework development was carried out by giving limited questionnaires to practitioners and academics, which produced 89% for the feasibility value and needs of the framework and 67% there is no need for changes to the framework being developed.
Digital forensics is a method to trace the digital evidence using knowledge of science. There are several stages in the method of digital forensics. Each stage has their own way to use the method collaborate with the tool of digital forensics. Nowadays, there are tools that we can use in digital forensics. Therefore, not all the tool coming with the help document on how to use the tool. This situation makes the investigator have to check the feature of the tool one by one in order to suit which one is the best tool to use in some stage. To overcome this problem, we made a system to determine the right tool in digital forensics using rule-based reasoning approach. The result of this paper is web-based system to determine the right tool in digital forensics. The system shows that only 40% in suitability to help the investigator to determine the right tool. This cause by lacking of the rule consists in the reasoning approach.
The city of Yogyakarta is known as the City of Students or the City of Education because of the many educational centers that stand there. This has made students from outside the region interested in studying in Yogyakarta. The large number of students studying in Yogyakarta makes many people in Yogyakarta open boarding and renting businesses which is a necessity for students from outside the region who come to take their education. The difficulty in finding a boarding house or renting a place that fits the needs is the main obstacle faced due to the lack of information received. In the current era, the digitization process has developed rapidly because most people spend their time holding smartphones, so many mobile-based applications can help with all their needs and needs. One of them is a boarding house search application, e-commerce, and delivery services. However, these three service features are not yet in one application. This makes Golek Kost want to create a mobile-based application that consists of these three features, to make it easier for students to search for boarding houses, boarding furniture, and transportation/moving services. The method used in designing the Golek Kost application is the design sprint. In this method there are four stages, namely: understanding (understanding), divergent (developing), decide (decide), prototype (create a prototype), and validate (validation). The final result of this research is the validation of the prototype design from the UI and UX side, after getting feedback from potential users. Making this prototype design will be made using Figma tools.
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