Garuda - Garba Rujukan Digital

Forensic Analysis of the WhatsApp Application Using the National Institute of Justice Framework Muhammad Fahmi Mubarok Nahdli; Muhammad Kunta Biddinika; Imam Riadi
International Journal of Advances in Data and Information Systems Vol. 5 No. 2 (2024): October 2024 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v5i2.1328

The advancement of communication media has rapidly evolved with the emergence of various communication applications on smartphones, which have now surpassed mere communication functions to become complex social media platforms. This change has transformed the way we interact, not only through messages and voice but also through the exchange of videos and images. However, along with these developments, there has been a surge in digital crimes such as defamation, fraud, and drug trafficking. This investigation aims to compare the performance of forensic tools in obtaining digital evidence by utilizing applications like Mobiledit, Belkasoft, Mobile Forensic SPF, and Magnet Axiom, and by applying the National Institute of Justice framework, which consists of five stages: identification, collection, examination, analysis, and reporting. The output of the investigation is presented through reports and evidence, resulting in text chat files, contacts, images, audio, and view-once images. Forensic tools have a 100% success rate in finding pieces of evidence. The comparison of the four tools showed different percentages: Mobiledit Forensic 40%, Magnet Axiom 80%, Belkasoft 60%, and Mobile Forensic SPF 60% in obtaining evidence. Digital evidence can be used as strong support in court proceedings.

Forensic Analysis of the WhatsApp Application Using the National Institute of Justice Framework Mubarok Nahdli, Muhammad Fahmi; Riadi, Imam; Biddinika, Muhammad Kunta
International Journal of Advances in Data and Information Systems Vol. 5 No. 2 (2024): October 2024 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v5i2.1328

The advancement of communication media has rapidly evolved with the emergence of various communication applications on smartphones, which have now surpassed mere communication functions to become complex social media platforms. This change has transformed the way we interact, not only through messages and voice but also through the exchange of videos and images. However, along with these developments, there has been a surge in digital crimes such as defamation, fraud, and drug trafficking. This investigation aims to compare the performance of forensic tools in obtaining digital evidence by utilizing applications like Mobiledit, Belkasoft, Mobile Forensic SPF, and Magnet Axiom, and by applying the National Institute of Justice framework, which consists of five stages: identification, collection, examination, analysis, and reporting. The output of the investigation is presented through reports and evidence, resulting in text chat files, contacts, images, audio, and view-once images. Forensic tools have a 100% success rate in finding pieces of evidence. The comparison of the four tools showed different percentages: Mobiledit Forensic 40%, Magnet Axiom 80%, Belkasoft 60%, and Mobile Forensic SPF 60% in obtaining evidence. Digital evidence can be used as strong support in court proceedings.

PELATIHAN PENGENALAN DAMPAK POSITIF DAN NEGATIF DALAM PENGGUNAAN ARTIFICIAL INTELLIGENCE PADA BIDANG PENDIDIKAN Wala, Jihan; Nahdli, Muhammad Fahmi Mubarok; Ardiansyah, Ricy; Umar, Rusydi; Yuliansyah, Herman
Jurnal Pengabdian Informatika Vol. 2 No. 4 (2024): JUPITA Volume 2 Nomor 4, Agustus 2024
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Artificial Intelligence (AI) merupakan kecerdasan yang ditunjukan dengan suatu objek buatan. AI memiliki potensi untuk mengubah pendidikan dengan mempersonalisasi pengalaman belajar, menyediakan bimbingan belajar yang cerdas, mengintegrasikan teknologi yang mendalam, dan mengotomatiskan pembuatan konten. Dampak positif AI mencakup peningkatan personalisasi pembelajaran, penghematan waktu bagi tenaga pendidik, serta peningkatan aksesibilitas dan kualitas pendidikan. Dampak negatif penggunaan AI yaitu kurangnya sentuhan manusia, risiko ketergantungan pada teknologi, mengurangi kemampuan berpikir kritis dan pemecahan masalah secara mandiri. Oleh karena itu, diperlukan pelatihan yang bertujuan untuk mengedukasi siswa SMK 2 Al-Hikmah 1 Sirampog, Brebes, Jawa Tengah, tentang dampak penggunaan AI dalam pendidikan. Peningkatan pengetahuan siswa diukur melalui pre-test dan post-test. Kegiatan ini mencakup serangkaian sesi yang dirancang untuk memberikan pemahaman mendalam kepada peserta mengenai pengaruh teknologi AI melalui berbagai aktivitas interaktif, diskusi, dan presentasi dengan total peserta sebanyak 30 siswa. Hasil dari pengabdian ini menghasilkan peningkatan pada kategori pengetahuan "Sangat Paham" meningkat dari 50% menjadi 80%.

Comparison of Digital Forensic Tools for Drug Trafficking Cases on Instagram Messenger using NIST Method Nahdli, Muhammad Fahmi Mubarok; Riadi, Imam; Biddinika, Muhammad Kunta
Scientific Journal of Informatics Vol. 11 No. 4: November 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i4.13463

Purpose: Cybercrime is an unlawful act that utilizes computer technology and the development of the internet. Cybercrime can occur on all electronic devices, including Android smartphones. Forensic handling, particularly mobile forensics, has become crucial in addressing drug trafficking cases conducted through Instagram. As the primary device for accessing Instagram, smartphones store digital data that can serve as evidence in investigations. This research aims to produce a more accurate comparison of results in analyzing Instagram Messenger data containing content related to drug trafficking. Methods: The digital evidence data used in this research included five types of data: text chat, account, image, audio, and image view once. The forensic tools for obtaining digital evidence were MOBILedit, Belkasoft, Mobile Forensic SPF, and Magnet Axiom. The method proposed in this research followed the NIST framework, which consists of four stages: collection, examination, analysis, and reporting. This research followed the NIST framework because it is widely recognized in the field of digital forensics and provides a comprehensive guideline for handling digital evidence. Result: Research results showed that Magnet Axiom had the best performance in digital forensic analysis, with a success rate of 74.1%. MOBILedit Forensic had a success rate of 62.5%, indicating lower performance. Mobile Forensic SPF had a success rate of 44.6%. In comparison, Belkasoft had the lowest success rate of 23.2%, showing that this software could be more effective in detecting and analyzing digital data than the others. Novelty: In this study, the analysis process was conducted using four digital forensic tools, each showing variations in terms of efficiency and effectiveness. Each tool has advantages and disadvantages regarding speed, accuracy, and ability to extract and manage data.

Title

Found 4 Documents
Search

Abstract

Abstract

Abstract

Abstract

Title Search

Found 4 Documents Search

Abstract

Abstract

Abstract

Abstract

Title

Found 4 Documents
Search