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DYNAMIC PROBABILITY OF THE INDONESIAN ARCHIPELAGO UNDERWATER DEFENCE WITH SUBMARINE SONAR Avando Bastari; Benny Sukandari; Joni Widjayanto; Dani Hutabarat
JOURNAL ASRO Vol 11 No 1 (2020): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (753.978 KB) | DOI: 10.37875/asro.v11i1.191

Abstract

This paper study the determination of the number submarine defenses for Indonesian archipelago underwater defenses with probability method approach. In performing these calculations the authors perform the processing of data from various sources, both from the literature, the data from the relevant authorities in this regard Operations staff, Submarine Force with the elements in the form of operating reports, obtained through interviews and from the field. From these data processed probability calculation and the result obtained is inserted into the formula length / width of the waiting area submarine patrol positions further implemented method of calculating the probability to obtain optimal results. The result of this study is to know the total number of submarines are needed to maintain the strategic straits Indonesia as much as 13 submarines. With the percentage of each strategic submarines: 23% Makassar Strait (3 Submarines), the Lombok Strait 15.4% (2 Submarines), Strait of Halmahera 30.77% (4 Submarines), Wetar Strait 15.4% (2 Submarines), Strait Ombai 15.4% (2 Submarines). If there is a dynamic field that can easily be placed in the strait Submarines received threats in accordance with the percentage division. Suppose a threat occurs only in Hot Area I (Makassar Strait and the Strait of Lombok) then placed Submarines strength at 35.4% (5 Submarines).Keywords: Submarine, Probability Concepts, Determination of Total submarine
PRIORITY DETERMINATION OF SUBMARINE TYPE AS DEFENSE OF ARCHIPELAGIC WAR WITH FUZZY AHP METHOD AND BCR ANALYSIS Dani Hutabarat; Udisubakti Cipto Mulyono; Ahmadi Ahmadi; Priyadi Hartoko
JOURNAL ASRO Vol 12 No 01 (2021): International Journal of ASRO
Publisher : Indonesian Naval Technology College - Sekolah Tinggi Teknologi Angkatan Laut - STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37875/asro.v12i01.381

Abstract

This thesis describes the application of the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) approach and Benefit Cost Ratio (BCR) analysis in submarine selection. Submarines as Main Defenses System which are highly strategic in their procurement are directed at realizing a deterrence strategy and a strategy of balancing with state actors that have the potential to threaten the sovereignty of the Indonesian state. Apart from threats, the procurement of submarines also considers Indonesia's geographic constellation and the government's wishes, such as the interest of the minister of defense during working visits to countries that offer their submarines. The first step in procurement is to make an analysis in terms of selecting submarine alternatives, both analysis of information and identification of various important and interrelated requirements regarding data from submarine alternatives that will be selected later. Uncertainty from the government is a fuzzy'nes decision, so this condition can be resolved with the Fuzzy AHP approach and strengthened by BCR analysis, so that the results can provide a higher contribution. The results obtained from the Fuzzy AHP method are the priority order of selecting alternative submarines, namely Y-Class (0.398), W-Class (0.220), X-Class (0.191) and Z-Class (0.191). Where the results of the importance of the main criteria are sequential starting from the Strategic Requirement (Strareq) criteria of 0.409, Operation Requirement (Opsreq) of 0.318 and Technical Requirement (Techreq) of 0.273. Meanwhile, based on the BCR analysis, the Y-Class submarine was also selected with a BCR value of 1.512232936. Keywords: Fuzzy AHP method, BCR Analysis, Submarine Selection.
IMPLEMENTATION OF ANALYTIC NETWORK PROCESS (ANP) METHOD IN THE ORDER OF SELECTING THE ALTERNATIVE SUBMARINE OF THE INDONESIAN NAVY Dani Hutabarat; Ahmadi Ahmadi; Avando Bastari
STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Vol 4 No 1 (2020): Indonesia Naval Technology College STTAL Postgraduate International Conference -
Publisher : Indonesian Naval Technology College STTAL

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRACT This paper describes the application of the Analytic Network Process (ANP) method in submarine selection as one of the defence equipment with very strategic value, the procurement of submarines is directed at realizing a deterrence strategy and a strategy of balancing with state actors that have the potential to threaten the sovereignty of the Republic of Indonesia. Apart from threats, the procurement of submarines also considers the geographical constellation of the Republic of Indonesia and the government's wishes, such as the interest of the minister of defence during visits to countries that offer their submarines. Therefore, before the procurement, an analysis was made in terms of the selection of submarine alternatives, both analysis of information and identification of various essential and interrelated requirements regarding data from submarine alternatives that would later be selected. In addition to other options, it is hoped that the main criteria for selecting submarines will be known. In submarine procurement decisions, where the existing problems cannot be arranged in a hierarchical form because it involves the interaction and dependence of the higher-level elements on the lower-level elements. Therefore, in this study the ANP method is used, which can accommodate the linkages between criteria or alternatives. The results obtained are the most substantial alternative priority weight on the S-Class submarine made by P-Country of 0.383283. While the results of the importance of the criteria are sequential starting from the sensor criteria of 0.125127, Threat 0.089076, Neighbors power state 0.080153, Geographical conditions 0.75735, Interoperability 0.071664, Weaponry 0.068672, Navigation 0.047301, Platform 0.044235 and finally Machinery 0.020580. Keywords: ANP method, Submarine, Alternative priority.
Co-Authors Ahmadi Ahmadi Avando Bastari Benny Sukandari Priyadi Hartoko Udisubakti Cipto Mulyono Widjayanto, Joni