Peningkatan Akurasi Pada Sistem Monitoring Posisi Kapal Menggunakan Metode Kalman Filter

Herianto, Herianto (2024) Peningkatan Akurasi Pada Sistem Monitoring Posisi Kapal Menggunakan Metode Kalman Filter. Undergraduate thesis, Politeknik Negeri Bengkalis.

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Abstract

This research produces a monitoring system to determine the position of the ship using the Kalman Filter method in web-based system development using the waterfall development method. This system allows users to view the position and coordinates of the ship in real-time. By applying the Kalman Filter method, uncertainty and noise in measuring the position of the ship can be reduced, thereby increasing the accuracy in determining the actual position of the ship. The system development process is carried out using the waterfall method which consists of requirements analysis, design, implementation, testing, and maintenance. The developed web-based system provides more accurate and reliable information to users, with the ability to view the position and coordinates of the ship in real time. This research contributes to the development of a more effective ship position monitoring system that can be used in various purposes such as navigation, surveillance, and ship monitoring

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	Email	NIDN/NIDK
Thesis advisor	Fajri, Fajri Profesio Putra	fajri@polbeng.ac.id	NIDN0007058802
Thesis advisor	Asep, Muhammad Asep Subandri	msubandri@polbeng.ac.id	NIDN0009129201

Uncontrolled Keywords:

Kalman Filter, Coordinates, Ship Position, Website, Waterfall

Subjects:

410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 458 Teknik Informatika
410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 459 Ilmu Komputer
410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 463 Teknik Perangkat Lunak

Divisions:

Jurusan Teknik Informatika > Sarjana Terapan Rekayasa Perangkat Lunak > TUGAS AKHIR

Depositing User:

Rekayasa Perangkat Lunak A 2024

Date Deposited:

27 Aug 2024 14:34

Last Modified:

29 Aug 2024 07:20