International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 187 - Issue 30 |
Published: August 2025 |
Authors: Kurnia Agustia Arifin, Imam Riadi |
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Kurnia Agustia Arifin, Imam Riadi . Forensic Analysis of Online Fraud on Telegram Web using Digital Forensics Workshop Method. International Journal of Computer Applications. 187, 30 (August 2025), 4-11. DOI=10.5120/ijca2025925515
@article{ 10.5120/ijca2025925515, author = { Kurnia Agustia Arifin,Imam Riadi }, title = { Forensic Analysis of Online Fraud on Telegram Web using Digital Forensics Workshop Method }, journal = { International Journal of Computer Applications }, year = { 2025 }, volume = { 187 }, number = { 30 }, pages = { 4-11 }, doi = { 10.5120/ijca2025925515 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2025 %A Kurnia Agustia Arifin %A Imam Riadi %T Forensic Analysis of Online Fraud on Telegram Web using Digital Forensics Workshop Method%T %J International Journal of Computer Applications %V 187 %N 30 %P 4-11 %R 10.5120/ijca2025925515 %I Foundation of Computer Science (FCS), NY, USA
The development of information technology has facilitated communication, but it has also increased digital crimes such as online fraud. Telegram Web as a popular messaging application has become one of the means of criminal action. This study aims to analyze cases of online fraud through Telegram Web using the Digital Forensics Research Workshop (DFRWS) method. The DFRWS methodology consists of six stages, namely identification, maintenance, collection, examination, analysis, and presentation. In the investigation process, several digital tools such as FTK Imager, Browser History Examiner, and Chrome DevTools were used to obtain digital evidence in the form of conversations, browser history, and image evidence. The results of the study show that the DFRWS method is effective in finding and validating hidden digital evidence, as well as assisting with legal investigations. This study is expected to be a reference in the development of digital crime investigations.