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All Journal JSAI (Journal Scientific and Applied Informatics)
Fahmi Fachri
Universitas Ma’arif Nahdlatul Ulama Kebumen
Computer Science & IT

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Komparasi FTK Imager dan MOBILedit Forensic Express Pro dalam Investigasi Cyberbullying Instagram Menggunakan Framework ACPO Anisa Nur Hidayah; Fahmi Fachri
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 2 (2026): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i2.10412

Abstract

Cyberbullying is one of the most common forms of cybercrime occurring on social media platforms, including Instagram through the Direct Message (DM) feature. This study aims to conduct a digital forensic investigation of Cyberbullying cases on Instagram using the Association of Chief Police Officers (ACPO) framework and to compare the performance of FTK Imager and MOBILedit Forensic Express Pro in obtaining digital evidence from Android devices. The research method was carried out through the stages of plan, capture, analysis, and presentation based on the ACPO framework. The investigation process included data acquisition, data extraction, digital artifact recovery, and digital evidence integrity validation using MD5 and SHA1 hashing methods. The results showed that FTK Imager successfully recovered text messages and voice messages with a recovery success rate of 50%, while MOBILedit Forensic Express Pro successfully recovered photos and videos with a recovery success rate of 50%. The integrity validation results indicated that the digital evidence remained valid and unchanged throughout the investigation process. Based on the comparison results, both tools demonstrated different capabilities in recovering specific digital artifacts. Therefore, the combined use of FTK Imager and MOBILedit Forensic Express Pro can improve the effectiveness of digital forensic investigations and provide more comprehensive digital evidence in Cyberbullying cases on Instagram.
Komparasi FTK Imager dan Autopsy dalam Investigasi Cyberbullying Telegram Menggunakan Framework DFRWS Arinaa Manaasika; Fahmi Fachri
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 2 (2026): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i2.10419

Abstract

This study aims to investigate cyberbullying cases on the Telegram application using the Digital Forensic Research Workshop (DFRWS) framework by comparing the performance of FTK Imager and Autopsy forensic tools. The investigation process consisted of identification, preservation, collection, examination, analysis, and presentation stages to obtain digital evidence from Android devices. The results showed that FTK Imager successfully recovered text chats, voice notes, and metadata with a 100% success rate for text-based artifacts, but failed to recover multimedia files such as photos and videos. Meanwhile, Autopsy successfully recovered chats, photos, videos, metadata, and deleted files with a 100% success rate for multimedia artifacts and deleted file recovery. Overall, FTK Imager achieved a digital evidence recovery rate of 58.3%, while Autopsy achieved 83.3%. Digital evidence integrity validation using MD5 and SHA1 hashing produced identical hash values before and after the investigation process, indicating that the integrity and authenticity of the evidence were successfully maintained. The findings demonstrate that the combined use of FTK Imager and Autopsy provides a more effective, systematic, and comprehensive digital forensic investigation process for handling cyberbullying cases on Telegram.
Co-Authors Anisa Nur Hidayah Arinaa Manaasika