ANALISIS PEMANFAATAN AUTONOMOUS UNDERWATER VEHICLE (AUV) HUGIN 1000 GUNA MENDUKUNG OPERASI PUSHIDROSAL

Authors

  • Yogo Pratomo Sekolah Staf dan Komando Angkatan Laut
  • Chiristian Lumban Tobing Sekolah Staf dan Komando Angkatan Laut
  • Octav Bayu Dirgantara Sekolah Staf dan Komando Angkatan Laut

DOI:

https://doi.org/10.11111/ujost.v2i2.126

Keywords:

Autonomous Underwater Vehicle, hydro-oceanographic survey, Utilization, information

Abstract

The territory of the Unitary State of the Republic of Indonesia has sea waters that are wider than the land area, besides that the sea waters area has a wealth of diverse natural resources both in the fields of hydrography and oceanography. However, if faced with other threats originating from below the surface of the water, such as the Autonomous Underwater Vehicle (AUV), ships on the water will find it difficult to detect because the AUV has secrecy and intrusion properties that are difficult for opponents to detect. The Hugin 1000 Autonomous Underwater Vehicle has a navigation system and survey equipment system with acoustic wave transmission which is influenced by the physical properties of the water medium such as temperature and salinity. Every change in the physical properties of water is largely determined by the depth of the water column and its geographic location. The concept of winning a war at sea is that we are able to master the underwater battlefield to provide an advantage that can be used to defeat the opposing forces. The concept of underwater warfare is more complicated than warfare over water, because not only do we have to gain technological superiority from our opponents, but also knowledge and sufficient information about the characteristics of our own combat/operations mandala such as the completeness of hydrographic and oceanographic data. The development and advancement of technology in the field of underwater detection is so rapid that understanding the information dynamics of hydro-oceanographic parameters is one of the keys in determining the superiority of the battle. With good data in the form of hydrographic and oceanographic data, it will be easier to determine strategies in battle. The concept of underwater warfare is more complicated than warfare over water, because not only do we have to gain the advantage of the opponent's technology, but also knowledge and sufficient information about the characteristics of the combat/operational mandala itself, such as the completeness of hydro-oceanographic data.

References

M. Ludvigsen, G. Johnsen, A. J. Sørensen, P. A. Lågstad, and Ø. Ødegård, “Scientific operations combining ROV and AUV in the Trondheim Fjord,” Mar. Technol. Soc. J., vol. 48, no. 2, pp. 59–71, 2014, doi: 10.4031/MTSJ.48.2.3.

K. Mondal, T. Banerjee, and A. Panja, “Autonomous Underwater Vehicles: Recent Developments and Future Prospects,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 7, no. XI, pp. 215–222, 2019, doi: 10.1016/j.oceaneng.2008.12.005.

A. Chiche, G. Lindbergh, I. Stenius, and C. Lagergren, “A Strategy for Sizing and Optimizing the Energy System on Long-Range AUVs,” IEEE J. Ocean. Eng., vol. 46, no. 4, pp. 1132–1143, 2021, doi: 10.1109/JOE.2021.3062047.

J. Zhou, Y. Si, and Y. Chen, “A Review of Subsea AUV Technology,” J. Mar. Sci. Eng., vol. 11, no. 6, p. 1119, 2023, doi: 10.3390/jmse11061119.

W. Utomo, “Optimalisasi Kinerja Kontra Intelijen Dalam Pengamanan Rahasia Negara,” Jurnal Ketahanan Nasional, vol. 15, no. 2. pp. 17–29, 2016. [Online]. Available: https://journal.ugm.ac.id/jkn/article/view/22342

H. Yu, Z. Zeng, and C. Guo, “Coordinated Formation Control of Discrete-Time Autonomous Underwater Vehicles under Alterable Communication Topology with Time-Varying Delay,” J. Mar. Sci. Eng., vol. 10, no. 6, 2022, doi: 10.3390/jmse10060712.

Sture and M. Ludvigsen, “Feature-based Bathymetric Matching of Autonomous Underwater Vehicle Transects using Robust Gaussian Processes,” F. Robot., vol. 3, no. 1, pp. 544–559, 2023, doi: 10.55417/fr.2023017.

A. Monterroso Muñoz, M. J. Moron-Fernández, D. Cascado-Caballero, F. Diaz-del-Rio, and P. Real, “Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition,” Sensors, vol. 23, no. 10, pp. 1–27, 2023, doi: 10.3390/s23104986.

I. Segovia Ramírez, P. J. Bernalte Sánchez, M. Papaelias, and F. P. García Márquez, “Autonomous underwater vehicles and field of view in underwater operations,” J. Mar. Sci. Eng., vol. 9, no. 3, pp. 1–16, 2021, doi: 10.3390/jmse9030277.

N. Ngatini and H. Nurhadi, “Estimasi Lintasan AUV 3 Dimensi (3D) Dengan Ensemble Kalman Filter,” INOVTEK Polbeng - Seri Inform., vol. 4, no. 1, p. 12, 2019, doi: 10.35314/isi.v4i1.774.

C. Okereke, N. H. A. Wahab, M. M. Mohamad, and S. H. Zaleha, “Autonomous Underwater Vehicle in Internet of Underwater Things: A Survey,” J. Phys. Conf. Ser., vol. 2129, no. 1, 2021, doi: 10.1088/1742-6596/2129/1/012080.

J. Du, D. Zhou, W. Wang, and S. Arai, “Reference Model-Based Deterministic Policy for Pitch and Depth Control of Autonomous Underwater Vehicle,” J. Mar. Sci. Eng., vol. 11, no. 3, 2023, doi: 10.3390/jmse11030588.

Kristiyono, S. Maarif, and M. Adnan Madjid, “Peran Nyata Pusat Hidro-Oseanografi Tni Angkatan Laut Dalam Penanggulangan Bencana,” J. Pertahanan Bela Negara, vol. 11, no. 1, pp. 81–92, 2021, [Online]. Available: http://jurnal.idu.ac.id/index.php/JPBH/article/view/1197%0Ahttp://jurnal.idu.ac.id/index.php/JPBH/article/download/1197/478

F. Septyana, S. Sundari, and S. A. Purwanto, “Pengelolaan Data Survei Dan Pemetaan Hidro-Oseanografi Pada Pusat Hidro-Oseanografi Tni Angkatan Laut Dalam Mendukung Ekonomi Pertahanan,” J. Ekon. Pertahanan, vol. 8, no. 1, pp. 23–35, 2022.

N. D. Oktavianty, A. A. Kushadiwijayanto, and Y. A. Nurrahman, “Kombinasi Peta Pushidrosal Dan Etopo-1 Dalam Meningkatkan Kualitas Batimetri Di Laut Natuna,” J. Laut Khatulistiwa, vol. 5, no. 2, p. 79, 2022, doi: 10.26418/lkuntan.v5i2.52495.

F. Soehardi, L. D. Putri, and M. Dinata, “NVivo Software Training for Young Researchers,” Mattawang J. Pengabdi. Masy., vol. 2, no. 1, pp. 8–13, 2021, doi: 10.35877/454ri.mattawang265.

S. Mulyanti, J. Mardhiya, and M. Solihah, “Perspectives on Green Chemistry and the Application of Nvivo 12 Software: A Case Study of Pandemic Period in Chemistry Education,” Sci. Educ., vol. 11, no. 1, p. 49, 2022, doi: 10.24235/sc.educatia.v11i1.10280.

Published

2023-08-01

How to Cite

Pratomo, Y., Tobing, C. L., & Dirgantara, O. B. (2023). ANALISIS PEMANFAATAN AUTONOMOUS UNDERWATER VEHICLE (AUV) HUGIN 1000 GUNA MENDUKUNG OPERASI PUSHIDROSAL. UJoST- Universal Journal of Science and Technology, 2(2), 58–70. https://doi.org/10.11111/ujost.v2i2.126