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p-Index From 2021 - 2026
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This Author published in this journals
All Journal JUITA : Jurnal Informatika Journal of Technology and Informatics (JoTI) Advance Sustainable Science, Engineering and Technology (ASSET)
Muhammad Yusuf Halim
Universitas Islam Indonesia
Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Forensic Analysis of UAV DJI MINI 3 and Non-rooted RC-N1 Android Smartphone Using DRF Framework Muhammad Yusuf Halim; Ahmad Luthfi
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 3, November 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i3.26598

Abstract

The increasing use of Unmanned Aerial Vehicles across various sectors also raises potential misuse, such as unauthorized surveillance and airspace violations. This research aims to analyze digital artefacts from UAV DJI Mini 3 and Android Smartphone Controller (DJI RC-N1) using the DRF Field forensic framework. Data acquisition was performed through static and dynamic methods on the UAV and both physical and logical methods on the smartphone, without rooting the device. The analysis reveals that dynamic acquisition on the UAV provides geotagged EXIF images, including latitude, longitude, and altitude information. Meanwhile, flight log data were not found on the UAV but were successfully retrieved from the smartphone via logical acquisition by identifying the DJI Fly application package (dji.go.v5). The extracted flight logs were then processed into .kmz format using Phantomhelp.com and visualized through Google Earth to confirm airspace violations. This study highlights that all forensic acquisition was conducted without rooting, ensuring device integrity and legal admissibility.
Benchmarking Graphics Rendering Capabilities: Java Processing vs. P5.js Muhammad Bambang Firdaus; Adi Surya Darma; Zainal Arifin; M. Khairul Anam; Muhammad Yusuf Halim; Arda Yunianta
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2036

Abstract

Rendering efficiency is a critical factor in cross-platform animation development. This study benchmarks the performance of Java Processing and P5.js by measuring frame rates and frame counts across six heterogeneous computing devices for 2D and 3D animation tasks. Each benchmark was executed under standardized conditions for 60 seconds, and performance data were collected at fixed intervals. Results indicate that Java Processing consistently achieves higher rendering efficiency, with up to 313% greater frame rates and 265% higher frame counts compared to P5.js, particularly in computationally intensive 3D scenarios. These differences are attributed to Java Processing’s compiled execution and direct OpenGL integration, while P5.js performance is constrained by browser-based execution and limited GPU utilization. The findings suggest Java Processing is preferable for high-performance simulations and complex visualizations, whereas P5.js remains effective for lightweight web-based 2D applications.
Simulated Phishing Attack and Forensic Analysis Using the D4I Framework: A Case Study on Kredivo Muhammad Yusuf Halim; Toto Raharjo; Rosi Rahmadi Syahputra; Erika Ramadhani
Journal of Technology and Informatics (JoTI) Vol. 7 No. 2 (2025): Vol. 7 N. 2 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i2.1086

Abstract

Phishing is a form of cyberattack where attackers deceive users into revealing sensitive information such as credentials or financial data, often through fake communication channels or websites. This threat is particularly critical in the financial technology (fintech) sector, where services rely heavily on digital transactions and user trust. This study presents a simulated phishing case targeting Kredivo users to evaluate the effectiveness of the Digital Forensics framework for Reviewing and Investigating cyber-attacks (D4I) in digital forensic analysis. The Cyber Kill Chain (CKC) model was employed to trace attacker behavior across seven phases, from weaponization to actions on objectives. Forensic data was acquired using MOBILedit Forensic Express from two smartphones, namely an iPhone 11 (iOS 15.8.1) and a Vivo Y21 (Android 8.1.0), which served as simulated evidence devices. Using the D4I framework, the investigation successfully identified and correlated key digital artifacts such as phishing links, OTP transmissions, and unauthorized access logs. These findings were organized into a visual chain of artifacts to reconstruct the full attack lifecycle. The results demonstrate that the D4I framework is effective in guiding structured forensic investigations and understanding attack patterns, supporting the enhancement of fintech security strategies.
Co-Authors Adi Surya Darma Ahmad Luthfie Anam, M Khairul Arda Yunianta Muhammad Bambang Firdaus Ramadhani, Erika Rosi Rahmadi Syahputra Toto Raharjo Zainal Arifin