Hostage Liberation Operations using Wheeled Robots Based on LIDAR (Light Detection and Ranging) Sensors
DOI:
https://doi.org/10.30812/matrik.v23i2.3493Keywords:
Hostage Liberation Operations, Light Detection and Ranging, Sensor, Wheeled Robot, WirelessAbstract
Hostage release operations require a high level of precision, alertness, and skill, which are carried out manually by soldiers of the Indonesian National Army. This medium presents a significant risk to soldiers. This research aims to improve the effectiveness of hostage release operations by integrating wheeled robot technology based on Light Detection and Ranging (LIDAR) sensors. The research method used is experiment-based in developing and testing a prototype of a mobile robot equipped with LIDAR technology and a web camera capable of mapping the location of hostages in three dimensions. The research showed that this robot has high accuracy, reaching 97.87%, and can create
three-dimensional route maps and display real-time video on a computer. The use of this technology has the potential to reduce risks to soldiers and improve the accuracy of mapping hostage locations, which can ultimately improve the safety and effectiveness of hostage release operations in the context of special operations tasks by soldiers of the Army.
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Menurut Undang-Undang Nomor 34 Tahun 2004 Tentang Tentara Nasional Indonesia,†Unizar Recht Journal, vol. 1, no. 4, pp.
476–485, 2022.
[3] J. Joshua and H. Sidik, “Diplomasi Yayasan Sukma dalam Proses Negosiasi Pembebasan Sandera Warga Negara Indonesia di
Filipina Selatan,†Padjadjaran Journal of International Relations, vol. 3, no. 1, pp. 1–18, jan 2021, https://doi.org/10.24198/
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[4] I. Kurnia, “Peran Tentara Nasional dalam Penanggulangan Tindak Pidana Terorisme,†Badamai Law Journal, vol. 6, no. 1, pp.
170–194, dec 2021, https://doi.org/10.32801/damai.v6i1.11750.
[5] S. Galani, “Terrorist Hostage-taking and Human Rights: Protecting Victims of Terrorism under the European Convention on
Human Rights,†Human Rights Law Review, vol. 19, no. 1, pp. 149–171, jan 2019, https://doi.org/10.1093/hrlr/ngz002.
[6] R. B. Pratikto, E. Setiawan, and D. Syauqy, “Rancang Bangun Simulasi Robot Beroda untuk Pengiriman Barang di dalam
Gedung berbasis Metode Particle Filter,†Jurnal Pengembangan Teknologi Informasi Dan Ilmu Kompute, vol. 5, no. 8, pp.
3229–3236, 2021.
[7] A. M. Azri, S. Abdul-Rahman, R. Hamzah, Z. A. Aziz, and N. A. Bakar, “Visual analytics of 3D LiDAR point clouds in
robotics operating systems,†Bulletin of Electrical Engineering and Informatics, vol. 9, no. 2, pp. 492–499, apr 2020, https:
//doi.org/10.11591/eei.v9i2.2061.
[8] I. P. A. Kristiawan, M. Rifa’i, and D. Dewatama, “Penerapan Rasio Kontrol Untuk Pewarnaan Susu Pada Mini Plant Pengolahan
Susu Menggunakan DCS (Distributed Control System) PCS 7 Siemens,†Jurnal Elektronika dan Otomasi Industri, vol. 8, no. 1,
p. 83, may 2021, https://doi.org/10.33795/elk.v8i1.231.
[9] C. W. Rizkita, A. Rusdinar, and A. Z. Fuadi, “Penerapan Mapping Location Dengan Sensor Lidar Pada Aumr (Automatic Uvc
Mobile Robot) Application Of Location Mapping With Lidar Sensor In Aumr (Automatic Uvc Mobile Robot),†e-Proceeding
of Engineering, vol. 8, no. 5, pp. 4362–4369, 2021.
[10] S. A. Alamsyah and M. Rivai, “Implementasi Lidar sebagai Kontrol Ketinggian Quadcopter,†Jurnal Teknik ITS, vol. 8, no. 2,
jan 2020, https://doi.org/10.12962/j23373539.v8i2.43034.
[11] I. Fadhila, I. Siradjuddin, and R. I. Putri, “Trajectory Tracking Robot Omnidirectional 4 Roda Dengan Visualisasi Rviz,†Jurnal
Elektronika dan Otomasi Industri, vol. 9, no. 2, p. 90, jul 2022, https://doi.org/10.33795/elk.v9i2.302.
[12] N. Shobie Ahfan, P. Wahyu Purnawan, A. Musafa, and dan Indra Riyanto, “Pemetaan Lingkungan Kerja Robot Beroda Dengan
Metode Slam Gmapping Menggunakan Sensor Lidar,†Jurnal Maestro, vol. 5, no. 2, pp. 295–303, 2022.
[13] S. Hadi, P. Dewi, R. P. M. D. Labib, and P. D. Widayaka, “Sistem Rumah Pintar Menggunakan Google Assistant dan Blynk
Berbasis Internet of Things,†MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 21, no. 3, pp.
667–676, 2022, https://doi.org/10.30812/matrik.v21i3.1646.
[14] H. Sihombing, E. Setiawan, and S. R. Akbar, “Sistem Kendali Robot Beroda Wall-Follower pada Tembok Lurus dan Berbelok
menggunakan Metode PID,†Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 6, no. 11, pp. 5129–5138,
2022.
[15] I. Fauzan, S. Sintaro, and A. Surahman, “Media Pembelajaran Anatomi Tulang Manusia Menggunakan Radio Frequency Identification
(Rfid) Berbasis Website (Studi Kasus: Universitas Xyz),†Jurnal Teknologi dan Sistem Informasi (JTSI), vol. 3, no. 1,
pp. 41–45, 2022.
[16] D. Reiser, M. V´azquez-Arellano, D. S. Paraforos, M. Garrido-Izard, and H.W. Griepentrog, “Iterative individual plant clustering
in maize with assembled 2D LiDAR data,†Computers in Industry, vol. 99, no. August, pp. 42–52, aug 2019, https://doi.org/10.
1016/j.compind.2018.03.023.
[17] Z. N. Starry, A. N. Jati, and F. C. Hasibuan, “Simulasi Openslam Menggunakan Turtlebot3 Pada Ros,†eProceedings of Engineering,
vol. 8, no. 5, pp. 6201–6211, 2021.
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Published
2024-01-13
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[1]
K. Kasiyanto, A. Aripriharta, D. Widiatmoko, D. Irmanto, and M. Cahyo Bagaskoro, “Hostage Liberation Operations using Wheeled Robots Based on LIDAR (Light Detection and Ranging) Sensors”, MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 23, no. 2, pp. 243–258, Jan. 2024, doi: 10.30812/matrik.v23i2.3493.
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