Article Per Year (5 Year)
p-Index From 2020 - 2025
1.405
P-Index
This Author published in this journals
All Journal Jurnas Nasional Teknologi dan Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JISKa (Jurnal Informatika Sunan Kalijaga) SAINTEK Journal of Information Systems and Technology (JISTech) TENANG : Teknologi, Edukasi, dan Pengabdian Multidisiplin Nusantara Gemilang JROCK (Journal Research on Computing Knowledge)
Muh. Hajar Akbar
Program Studi Teknik Informatika, Universitas Ahmad Dahlan
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

 1 
Penerapan Metode Static Forensics untuk Ekstraksi File Steganografi pada Bukti Digital Menggunakan Framework DFRWS Sunardi; Imam Riadi; Muh. Hajar Akbar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (685.291 KB) | DOI: 10.29207/resti.v4i3.1906

Abstract

Steganography is one of the anti-forensic techniques that allow criminals to hide information in other messages so that during the investigation, the investigator will experience problems and difficulty in getting evidence of original information on the crime. Therefore an investigator is required to have the ability to be able to find and extract (decoding) using the right tools when opening messages that have been inserted by steganography techniques. The purpose of this study is to analyze digital evidence using the static forensics method by applying the six stages to the Digital Forensics Research Workshop (DFRWS) framework and extracting steganography on files that have been compromised based on case scenarios involving digital crime. The tools used are FTK Imager, Autopsy, WinHex, Hiderman, and StegSpy. The results of extraction of 9 out of 10 files that were scanned by steganography files had 90% success and 10% of steganography files were not found, so it can be concluded that the extraction files in steganographic messages can be used as legal digital proofs according to law.
Co-Authors Anjar Pradipta Fadillah Maharani Ilcham Imam Riadi Imam Riadi Imam Riadi Irwan Jaya Jimsan La Ode Hasnuddin S. Sagala Muh. Nurtanzis Sutoyo Sunardi - Sunardi, Sunardi Syahraeni Rahmadi