Integrasi Artefak Forensik Pengendali Drone Berbasis Android ke Android Logs Events and Protobuf Parser (ALEAPP)

Ramadan, Muhammad Rias (2026) Integrasi Artefak Forensik Pengendali Drone Berbasis Android ke Android Logs Events and Protobuf Parser (ALEAPP). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perkembangan pesat teknologi drone telah merevolusi berbagai sektor, termasuk pemetaan, pertanian, pariwisata, dan bahkan perang. Namun, di sisi lain, perluasan ini juga memudahkan penyalahgunaan kendaraan udara tanpa awak (UAV) untuk kegiatan ilegal yang mengancam keselamatan publik dan keamanan nasional. Penyelidikan forensik digital menghadapi tantangan signifikan ketika drone rusak atau hancur. Penelitian ini mengatasi celah kritis ini dengan fokus pada analisis forensik perangkat pengendali Android yang digunakan dalam drone DJI, yang mendominasi pasar komersial dengan mengembangkan parser sumber terbuka baru yang terintegrasi ke dalam platform Android Logs Events and Protobuf Parser (ALEAPP). Parser ini dirancang untuk mendekode dan mengekstrak data penerbangan dari berkas log .DAT dan .TXT. Analisis komprehensif kami mencakup berbagai model drone DJI diantaranya DJI Mavic 2, DJI Mavic 2 Enterprise, DJI Mavic Air, DJI Mavic Pro, DJI Phantom 3, DJI Phantom 4, dan DJI Phantom 4 Pro, yang menghasilkan data berupa waktu penerbangan dan koordinat GPS. Hal ini berkontribusi pada penyelidikan forensik yang melibatkan teknologi UAV.

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The rapid development of drone technology has revolutionized various sectors, including mapping, agriculture, tourism, and even warfare. However, on the other hand, this expansion has also facilitated the misuse of unmanned aerial vehicles (UAVs) for illegal activities that threaten public safety and national security. Digital forensic investigations face significant challenges when drones are damaged or destroyed. This research addresses this critical gap by focusing on the forensic analysis of Android control devices used in DJI drones, which dominate the commercial market, by developing a new open-source parser integrated into the Android Logs Events and Protobuf Parser (ALEAPP) platform. This parser is designed to decode and extract flight data from .DAT and .TXT log files. Our comprehensive analysis covers various DJI drone models, including the DJI Mavic 2, DJI Mavic 2 Enterprise, DJI Mavic Air, DJI Mavic Pro, DJI Phantom 3, DJI Phantom 4, and DJI Phantom 4 Pro, which generate data such as flight time and GPS coordinates. This contributes to forensic investigations involving UAV technology.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Android, ALEAPP, Artefak Drone, DJI, Forensik Digital, Parser log, UAV forensik. Keywords: Android, ALEAPP, Drone Artifacts, DJI, Digital Forensics, Log Parser, UAV Forensics.
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL152.8 Vehicles, Remotely piloted. Autonomous vehicles.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55101-(S2) Master Thesis
Depositing User:	Muhammad Rias Ramadan
Date Deposited:	29 Jan 2026 04:22
Last Modified:	29 Jan 2026 04:22
URI:	http://repository.its.ac.id/id/eprint/130943

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