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All Journal Scientific Journal of Informatics JELTII (Journal of English Language Teaching and Islamic Integration) Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknologi Informatika dan Komputer Informatics, Electrical and Electronics Engineering International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Iqtisaduna Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Jurnal Sains dan Teknologi Jurnal Pengabdian Sains dan Humaniora Jurnal Pemberdayaan: Publikasi Hasil Pengabdian kepada Masyarakat (JPM ITTC ) Jurnal Sistem Informasi dan Informatika Journal Of Informatics And Busisnes Nusantara Journal of Computers and its Applications Information Technology International Journal (ITIJ) Submit : Jurnal Ilmiah Teknologi Informasi dan Sains Jurnal Teknik dan teknologi tepat guna Nusantara Computer and Design Review Sinergi Aksi Nyata Cendekia
Angga Lisdiyanto
Universitas Pembangunan Nasional Veteran Jawa Timur
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Journal : scientific journal of informatics

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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 Abdillah, Ikhwan Achmad Mufliq Addien Haniefardy Aflachul Mu’minin Agus Setia Budi Agus Wibowo Ahmad Wahyudi Andhyka, Awang Andhykad Anggay Luri Pramana Anggay Luri Pramana Anisa Nurul Wilda Arda Surya Editya Arfi Chabibulloh, Muhammad Arief Saputro Arya Dwi Nugraha Awang Andhyka Bety Qorry Aina Catur Lega Wibisono Cholilurrohman Cholilurrohman Chrisna Bayu Septrianto Eskaluspita, Pratama Faisal Muttaqin Fery Almas Ariansyah Fitrani, Laqma Fitrani, Laqma Dica Galih Muhamad Rachman Ganal Arief Rahmawan Haq, Dina Zatusiva Husaini, Arinda Putri Ikhwan Abdillah Imroatul Ajizah Imroatul Ajizah Lailatul Musyaffaah Laqma Dica Fitrani Laqma Dica Fitrani Laqma Fitrani Lusi Kurnia Lutfiyah, Nanik Maharani, Masti Fatchiyah Markhaban Siswanto Miftahul Djanah Moch. Fahrul Orizky Mochammad Ichsan Mochammad Machlul Alamin Moh. Fadel Mufidz Abdul Ghoffar, Muhamad Muhammad Falikhuddin Daffa Muhammad Muharrom Al Haromainy Muhammad Reza Pahlawan Muhammad Shodiq Mu’minin, Aflachul Neny Kurniati Neny Kurniati Nurul Fuad Olive Khoirul Lukluil Maknun Al Faishol Orizky, Moch. Fahrul Pratama Wirya Atmaja Rachman, Galih Muhamad Ridho Cahyo, Laksono Riza Akhsani Setyo Prayoga Rizky Aditya Nugroho Rizky Aditya Nugroho Rizqi Hisyam, Muhammad Rojil Ghufron Ryan Purnomo Saputro, Arief Steven Angkawidjaja Syahri Mu’min Syahri Mu’min Syifa Ayu Via Mika Bahrul Tri Septianto Umi Diantika Susilowati Vinza Hedi Satria Wahyu Eko Pujianto Wibawa, Koerniawan Dwi Wibowo, M Sadewa Wicaksana Winarti Winarti Winarti Winarti ., Winarti Winarti Winarti Winarti Winarti Yerezqy Bagus Yerezqy Bagus Yoga Ari Tofan ⁠Wahyu Nofiyan Hadi