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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Scientific Journal of Informatics Jurnal Informatika Upgris JURNAL MEDIA INFORMATIKA BUDIDARMA Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Green Intelligent Systems and Applications JEECS (Journal of Electrical Engineering and Computer Sciences) Nusantara Community Empowerment Review Nusantara Computer and Design Review
Mochammad Machlul Alamin
Universitas Nahdlatul Ulama Sidoarjo
Religion Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Social Sciences

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Journal : Scientific Journal of Informatics

 1 
Forensic Analysis of Drones Attacker Detection Using Deep Learning Editya, Arda Surya; Kurniati, Neny; Alamin, Mochammad Machlul; Pramana, Anggay Luri; Lisdiyanto, Angga
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.48183

Abstract

Purpose: This research proposes deep learning techniques to assist forensic analysis in drone accident cases. This process is focused on detecting attacking drones. In this research, we also compare several deep learning and make some comparisons of the best methods for detecting drone attackers.Methods: The methods applied in this research are YOLO, SSD, and Fast R-CNN. Additionally, to validate the effectiveness of the results, extensive experiments were conducted on the dataset. The dataset we use contains videos taken from drones, especially drone collisions. Evaluation metrics such as Precision, Recall, F1-Score, and mAP are used to assess the system's performance in detecting and classifying drone attackers.Results: This research show performance results in detecting and attributing drone-based threats accurately. In this experiment, it was found that YOLOV5 had superior results compared to YOLOV3 YOLOV4, SSD300, and Fast R-CNN. In this experiment we also detected ten types of objects with an average accuracy value of more than 0.5.Novelty: The proposed system contributes to improving security measures against drone-related incidents, serving as a valuable tool for law enforcement agencies, critical infrastructure protection and public safety. Furthermore, this underscores the growing importance of deep learning in addressing security challenges arising from the widespread use of drones in both civil and commercial contexts. 
Co-Authors Aditya Wisnu Pangarso Adzimi, Choiral Bachri Ahcmad Ramadhani Firmansyah Ahmad Ismasuroj Aisya Febrianti Azzaroh Aji Laksono, Ilham Alaik Bittuqoh Alfia Rohmah Safara Alvianto, Dimas Aminuddin, Haris Fahrurosyi Amrullah, Hesa Zidni Afif Anam, M Syifa’ul Anggay Luri Pramana Antika, Dwi Ira Fuji Arda Surya Editya Ardiansyah, Fitto Arfi Chabibulloh, Muhammad Arfiansyah, Ilham Putra Arfiyansya, Putra Pratama Arifin, Rochman Putra AT, Mochammad Zulfikar Aulia, Luthfi Azhar, Devandra Albansyah Azzhara, Nabila Mauliddia Bagus Pratama Bittuqoh, Alaik Cahyono, Rangga Dwi Choiral Bachri Adzimi Chusnan, Syahrul Alvin Dani Restu Putra Dimas Alvianto Dio Adista Laksono Dwi Ira Fuji Antika Farizki, Daniel Achmad Farros, M Faizal Zhafran Ferdie Arya Jantanu Firmansyah, Ahcmad Ramadhani Firmansyah, Moh Alfian Habibatul Khoiroh Haq, Ahmad Khoir Al Haris Fahrurosyi Aminuddin Hayyun, Ibad Al Hendrawan Armanto Hidayat, Rakmat Indra Maryati Ismasuroj, Ahmad Jantanu, Ferdie Arya Jazuri, Achmad Khoiroh, Habibatul Lisdiyanto, Angga M Huda Noor Setyawan M Iqbal Hasan M Iqbal Wahyudi M Syifa’ul Anam M, Baqik Al Zalzala Maslikhah, Lilik Mauliddin, Rizky Akbar Mochammad Zulfikar AT Mohammad Ersha Ramadhani Mohammad Raihan Zacky Ramadhan Mohammad Wahyudin, Mohammad Muchibbin, Moch Rafli Mufidz Abdul Ghoffar, Muhamad Muhammad Firmansyah, Muhammad N, Naufal Eurasia Nadhif Fathur Rahman Naufal Eurasia N Neny Kurniati Nida Aulina Ningrum, Lintang Ayu Nur Syaifudin Pramana, Anggay Lury Prasetya, M. Galuh Sahfa Putra, Dani Restu Rahman, Nadhif Fathur Ramadhan, Mohammad Raihan Zacky Ramadhan, Rezza Fahlevi Ramadhani, Mohammad Ersha Rasyidin, Mukhammad Hafid Ridho Cahyo, Laksono Rochman Putra Arifin Rosidin, Ahmad Khulafaur Safara, Alfia Rohmah Setiawan, Moch. Rizky Setyawan, M Huda Noor Syahrul Alvin Chusnan Syaifudin, Nur Taufiqurrochman, Achmad Muafi Ulumuddin, Mochammad Fatih Wadhah, Ambar Nabilah Wahidah, Sitti Nurul Wahyudi, M Iqbal Wati, Elis Julia