A REVIEW OF MACHINE LEARNING IN SUSTAINABLEAUTONOMOUS SHIP CONTROL SYSTEM

Abstract

The rapid development of industry 5.0 has brought the world of sea transportation to challenges that are so speedy and complex in current condition and in the future. Thecondition issupported by the development of artificial intelligence technology which is increasingly being applied to the application of technology. One part of it is machine learningwhich has brought so many changes to the development of unmanned ship technology (or autonomous ship). The ability of machine learning to learn from examples is a massive advantages for autonomous innovation. The massive application of these concepts has resulted in many changes to the applied control system model such as navigation system, detection and navigation system or automation system. This makes researchers have to keep pace with the development of appropriate methods for their implementation. This research aims to map the current condition of the application of machine learning methods, algorithmsand concepts to unmanned ship systems. This study uses a bibliometric analysis approach anda SWOT analysis that is relevant to current conditions. As the result, this study aims and targets to provide an overview of the current conditions for practitioners and researchers in utilizing the concept of machine learning.