Prediction of significant wave height in the Java Sea using Artificial Neural Network

Illa Rizianiza; Aulia Siti Aisjah

doi:10.1109/ISITIA.2015.7219944

Prediction of significant wave height in the Java Sea using Artificial Neural Network

Illa Rizianiza
, Aulia Siti Aisjah

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

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.

Original language	English
Title of host publication	2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5-9
Number of pages	5
ISBN (Electronic)	9781479977109
DOIs	https://doi.org/10.1109/ISITIA.2015.7219944
Publication status	Published - 24 Aug 2015
Event	16th International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Surabaya, Indonesia Duration: 20 May 2015 → 21 May 2015

Publication series

Name	2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding

Conference

Conference	16th International Seminar on Intelligent Technology and Its Applications, ISITIA 2015
Country/Territory	Indonesia
City	Surabaya
Period	20/05/15 → 21/05/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

backpropagation
significant wave height
wind direction
wind speed

Access to Document

10.1109/ISITIA.2015.7219944

Cite this

Rizianiza, I., & Aisjah, A. S. (2015). Prediction of significant wave height in the Java Sea using Artificial Neural Network. In 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding (pp. 5-9). Article 7219944 (2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2015.7219944

Rizianiza, Illa ; Aisjah, Aulia Siti. / Prediction of significant wave height in the Java Sea using Artificial Neural Network. 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 5-9 (2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding).

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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.",

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address = "United States",

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Rizianiza, I & Aisjah, AS 2015, Prediction of significant wave height in the Java Sea using Artificial Neural Network. in 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding., 7219944, 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 5-9, 16th International Seminar on Intelligent Technology and Its Applications, ISITIA 2015, Surabaya, Indonesia, 20/05/15. https://doi.org/10.1109/ISITIA.2015.7219944

Prediction of significant wave height in the Java Sea using Artificial Neural Network. / Rizianiza, Illa; Aisjah, Aulia Siti.
2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2015. p. 5-9 7219944 (2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Prediction of significant wave height in the Java Sea using Artificial Neural Network

AU - Rizianiza, Illa

AU - Aisjah, Aulia Siti

PY - 2015/8/24

Y1 - 2015/8/24

N2 - 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.

AB - 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.

KW - backpropagation

KW - significant wave height

KW - wind direction

KW - wind speed

UR - https://www.scopus.com/pages/publications/84954138062

U2 - 10.1109/ISITIA.2015.7219944

DO - 10.1109/ISITIA.2015.7219944

M3 - Conference contribution

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T3 - 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding

SP - 5

EP - 9

BT - 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 20 May 2015 through 21 May 2015

ER -

Rizianiza I, Aisjah AS. Prediction of significant wave height in the Java Sea using Artificial Neural Network. In 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2015. p. 5-9. 7219944. (2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding). doi: 10.1109/ISITIA.2015.7219944

Prediction of significant wave height in the Java Sea using Artificial Neural Network

Abstract

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UN SDGs

Keywords

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