Penentuan Anomali Aktivitas Kapal Berdasarkan Analisa Data AIS

Perdana, Gustisatya (2017) Penentuan Anomali Aktivitas Kapal Berdasarkan Analisa Data AIS. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Upaya memberantas aktivitas ilegal di perairan Indonesia sulit dilakukan dengan hanya mengandalkan patroli laut karena lautan Indonesia sangat luas. Salah satu solusi untuk masalah kemaritiman ini adalah dengan melakukan pemantauan kapal yang beroperasi berdasarkan informasi dari Automatic Identification System (AIS) yang dimiliki oleh setiap kapal yang legal berdasarkan standar internasional. Berdasarkan penelitian yang sudah ada, data yang dikirimkan oleh AIS disimpan ke dalam basis data kemudian ditampilkan visualisasinya kepada pengguna. Diperlukan analisa lebih lanjut dari data yang ada pada basis data beserta visualisasinya untuk membedakan kapal yang beroperasi secara wajar dengan kapal yang terindikasi melakukan pelanggaran. ======================================================================================= The government of Indonesia has been struggling in maintaining its maritime territory. Meanwhile, it is proven to be difficult for the government authorities to rely on sea patrol only. One of the attempts to solve this issue is by supervising every ships which currently doing some activity in Indonesia’s maritime territory based on the information provided by Automatic Identification System (AIS). AIS transmitter is attached to each operating ships based on the regulation of international law. The existing research shows that data from AIS can be stored and presented in a virtual map. However, further researches which involve data analysis from the database and its visualization are necessary in order to sort out the suspected ships violating the law of Indonesia territory among the other normal ships.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Automatic Identification System (AIS); Basis Data; Visualisasi; Database; Visualization
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Industrial Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: - GUSTISATYA PERDANA
Date Deposited: 03 May 2017 08:19
Last Modified: 22 Dec 2017 07:41
URI: http://repository.its.ac.id/id/eprint/3958

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