DEVELOPMENT OF MARINE LOGISTIC DATABASE USING AUTOMATIC IDENTIFICATION SYSTEM (AIS) AND STATISTICAL DATA

Mohammad Danil, Arifin and Hamada, Kunihiro and Ouchi, Kazetaro (2016) DEVELOPMENT OF MARINE LOGISTIC DATABASE USING AUTOMATIC IDENTIFICATION SYSTEM (AIS) AND STATISTICAL DATA. In: (TEAM 2016) 30th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures, Mokpo, South Korea.

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Abstract

Nowadays, the use of Big and it is aimed at supporting the basic planning of ship in the future. This database represents the large collective data set assembled and provides information which is related to logistics distribution. The database under study consists of sets of the latest information, i.e. operation information from AIS data, ships, port, routes and international trading information. As a result, relational database model had been developed. Overview of the MLDB structure is shown. Estimation methods of cargo type of bulk carrier and crude oil tanker are taken as an example of the effectiveness of the database. The evaluation of the proposed methods is shown. Moreover, data extracted from database application which necessary for the basic planning of ship development are shown and discussed.

Item Type: Conference or Workshop Item (Paper)
Subjects: 600 Technology and Applied Sciences /Teknologi dan Ilmu-ilmu Terapan > 629.04 Transportation Engineering/Teknik Transportasi
Divisions: Fakultas Teknologi Kelautan > Teknik Sistem Perkapalan
Depositing User: Mohammad Danil Arifin FTK
Date Deposited: 10 May 2020 05:59
Last Modified: 03 Feb 2023 03:07
URI: http://repository.unsada.ac.id/id/eprint/1189

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