@inproceedings{6a5181ad3e804675b52112af269f4780,
title = "Prediction of significant wave height in the Java Sea using Artificial Neural Network",
abstract = "The Java Sea is one of the busiest ship traffic both of domestic and international shipping and potential marine accident is quite high. It is about 43.6% of marine accidents is caused by natural factor. There are two point in this research. Point 1 at latitude 5° 55′29.03″ S longitude 110°51′42.88″ E and point 2 at latitude 4°39′41.99″ S longitude 109°10′7.15″ E. Design predictor of significant wave height is using Artificial Neural Network with backpropagation algorithm. The predictor consists of three inputs. They are significant wave height (m); wind speed (m/s) and wind direction (degree). Architecture of Artificial Neural Network is point 1 [3, 6, 1] dan point 2 [3, 3, 1]. The result RMSE in this prediction are point 1 0.006 m; point 2 0.075 m.",
keywords = "backpropagation, significant wave height, wind direction, wind speed",
author = "Illa Rizianiza and Aisjah, {Aulia Siti}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 16th International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 ; Conference date: 20-05-2015 Through 21-05-2015",
year = "2015",
month = aug,
day = "24",
doi = "10.1109/ISITIA.2015.7219944",
language = "English",
series = "2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5--9",
booktitle = "2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding",
address = "United States",
}
