Maritime weather prediction using fuzzy logic in java sea

Abstract

Fuzzy logic has mostly been used in different kind of field either in taking decision, or control system and forecasting. Fuzzy logic is one that can represent a complex situation into a simple form in a language that is easily caught by humans. Similarly, to represent the nature of weather easily understood by ordinary people, this is the result of weather forecasting based on meteorological data. Some of the statistical methods used for weather forecasting are Auto Regressive (AR), Integrated Moving Average (ARIMA) and found some shortcomings of these traditional method. That is the need for historical data is not small, low-prediction accuracy results in a complex condition. This paper describes the strategy in weather forecasting based on fuzzy logic for maritime weather. Case studies conducted in the Java Sea, cruise lines Surabaya- Banjarmasin. The results showed that the level of accuracy prediction for 86.64% of the Java Sea, and prediction accuracy decreased for the next 24 hours ahead. Predictors of ability to demonstrate the ability to detect anomalous high sea waves in the waters of the Java Sea