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Sea transportation is a mainstay transportation in Indonesia, it is because Indonesia consists of
thousands of islands, so that, to connect between islands, sea transportation is needed. Waves are very closely
related to the sea, waves that are negative that is waves that can endanger shipping. One of the factors causing
sea accidents is natural disasters, namely high waves. To minimize accidents due to high waves, wave
predictions can be made in the hours to come using the neural network algorithm. Neural network was chosen
because of its advantages in processing system input-output data even though the system is nonlinear. The
advantage is that the neural network is chosen as a wave height predictor algorithm. ANFIS is an algorithm for
the development of a combination of neural networks and fuzzy artificial intelligence. The ability of ANFIS
to predict wave heights is no less good with neural networks, it is because ANFIS is a combination of neural
network and fuzzy. It is hoped that by doing this research it can compare which algorithm is better in predicting
wave heights.
Indonesia known as an archipelago where sea transport is transport is dependable by for shipping
Inter Island. The height of waves is one of the causes of accidents at sea transportation for that this research
will be carried out the prediction of a wave height to minimalise of the accident in sea transportation. Neural
network is one of algorithm intelligent for nonlinear advantage predictions which having blackbox can studying
the relations between input and output system. Neural network is very suitable as prediktor the waves. The
prediction results show that the neural network has small’s RMSE.
