Wimala  L. Dhanistha, Herman  Pratikno, Silvianita  , 
    Neural Network for Wave Height Prediction (Study Case: Java Sea),
    International Journal of System Signal Control and Engineering Application,
    Volume 12,Issue 5,
    2019,
    Pages 110-115,
    ISSN 1997-5422,
    ijssceapp.2019.110.115,
    (https://makhillpublications.co/view-article.php?doi=ijssceapp.2019.110.115)
    Abstract: Global market in Indonesia to rely on marine
transportation to distribute commodity import-export. One
of the obstacles on the path to the sea is a wave heights,
the wave can cause in accidents sea that the ship sank. To
minimize accidents, this study will make a neural network
algorithm to predict wave heights in the next hour. The
advantages of this neural network that has a black box
that can process data input and output. The prediction
results show that the neural network has small’s RMSE.
    Keywords: Neural network;wind speed;wave height;import-export;process data