Analysis of Unmanned Vehicle Findings Towards Maritime Security and Defence

Authors

  • Anthonius Panglima Etwin Sekolah Staf dan Komando Angkatan Laut, Jakarta, Indonesia
  • Harryadin Mahardika Universitas Indonesia, Jakarta, Indonesia

Keywords:

Unmanned Underwater Vehicles (UUV), sea glider

Abstract

Indonesia is the largest archipelago country in the world with vast maritime territory needing security and defence strategies. Indonesia has 4 strategic straits including the Sunda strait, Lombok strait, Makassar strait, and Malacca strait. Aside from Indonesia’s inherent beauty, seaglider findings are still one of the main problems on Indonesian waters. Possible data obtained from seaglider findings can be important information for undersea operations. The vehicle can reach the bottom of the sea and use sensors to detect depth, oxygen, undersea objects, and other data. The sensor sends data and position of the vehicle to the surface through satellite, for survey needs or hydro-oceanography purposes. In this study, we used NVivo method, a qualitative data analysis software developed by Qualitative Solution and Research (QSR) International. Besides that, we also applied Soft System Methodology (SSM) to obtain the industrial or overall system overview to determine the industry’s improvement strategy. It is an evaluation method conducted not only by comparing one model to another but also comparing conceptual model to reality. The qualitative analysis theory used in this study was Miles and Huberman theory. Based on the study results, we found that Indonesia needs underwater defence to stay safe by using several defence strategies such as intelligence readiness upon enemy attack, improve ship force readiness, and increase the fleet’s speed. Therefore, to be able to defend ourselves, we need to be ready including all security personnel and defence facilities.

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Published

17-06-2022

How to Cite

[1]
A. P. Etwin and H. Mahardika, “Analysis of Unmanned Vehicle Findings Towards Maritime Security and Defence”, IJRAMT, vol. 3, no. 6, pp. 65–70, Jun. 2022.

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Section

Articles