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DETERMINATION OF STATE IN SOUTHEAST ASIA AS PREDICTORS OF THREATS TO INDONESIA, USING PROFILE MATCHING, DELPHI AND BORDA METHODS Pius Herdasa Kresna Murti; Budi Santoso Wiryo; 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

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Abstract

ABSTRACT A condition free from anxiety and the ability to predict threats, is a situation desired by all citizens. Not yet optimal in countermeasures and predicting the direction of the threat. The need for innovation in the method of determination according to the current state. Research based on the Decision Support System (DSS) trying will provide a solution in determining the predictor of the threat state. Using the Profile Matching method researchers try to map the profiles of countries located in the region. Providing problem solving by modifying the Profile Matching method is to start with delphi method in obtaining the determining criteria of research and weighting it with Borda technique. The criteria and weighting as the constituent criteria of the threat predictor country's strength profile, followed by the role so that the names of the threat predictor countries in Southeast Asia are obtained. The determination of the predictor state will facilitate in countermeasures or deal with it as well as provide actual information of where the threat comes from and the disertor criteria where the country can be weakened by Indonesia. Keywords: Threat, Southeast Asia Region, Profile Matching, Delphi, Borda.
MODELING MARINE OPERATIONS BASED ON INTELLIGENCE TREAT PREDICTION IN INDONESIAN NAVAL 2ND FLEET COMMAND USING MCDM Okol Sri Suharyo; Budi Santoso Wiryo; Fa'iq Mumtaz Muhammad
STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Vol 4 No 1 (2020): Indonesia Naval Technology College STTAL Postgraduate International Conference -
Publisher : Indonesian Naval Technology College STTAL

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Abstract

ABSTRACT Indonesia, which is an archipelago country, needs strong maritime sector security. Indonesian Navy in Law No. 34 of 2004 has been given the mandate to safeguard the sovereignty of the Republic of Indonesia. Indonesian Naval 2nd Fleet Command as the executing command and operational supervisor every year carries out the OMSP, which is carried out under the command of naval battle group (Guspurla) and marine security group (Guskamla). The importance of intelligent information regarding the estimated threat / contingency that will occur is very influential on decision makers in an operational planning and in the context of taking action against the contingency/threat. With the contingencies that have been given by the intelligence sector staff, it is necessary to have an appropriate marine operation modeling. In multi-operation operations, it is necessary to have a supporting attribute, namely a headquarters warship (C2). The purpose of this study is to formulate an operation modeling using the selection of a headquarter warship which is preceded by the prior determination of contingency priorities. This study uses MCDM which consists of MCDA and MCDO which uses the integration of the Delphi method, AHP, Fuzzy Weighting, Goal programming and integer linear programming. Based on the processing of Delphi and AHP in determining contingencies, there are 6 (six) contingency priorities in the order: National jurisdiction marine security got a value of 0,23792; the spread of the pandemic was 0,22492; VVIP security was 0,20416; security of vital objects was 0,15410 and violence at sea was 0,12923 while marine pollution was 0,04967. While in the selection of a headquarters warship that functions to coordinate warships in carrying out sector patrols using FWH and IGP, 1st warship was selected to be the headquarters warship (C2) with a value of 6,006; with the second priority 4thwarship, which was 6,652; 5th warship was 7,198; 2nd warship was 7,890 and 3rt warship of 8,763. While in the modeling, it is found that in a year there are 4 operations under 2nd Guskamla where the level of area is security obtained from the KRI (warship) assignment for ALFA operations is 152 with 4.963.600 Kl of fuel, KILO is to consume 8.104.200 Kl of fuel, MIKE is 59,13 with 765.079 of fuel and by consuming 425.906 Kl of fuel on INDIA operations get a level of safety area of 44,91. Keywords: MCDM, Contigency,headquarters warship.