Maritime Weather Prediction using Fuzzy Logic in Ternate Waters North Maluku

Anisa Sangadji, Aulia Siti Aisjah, Gunawan Nugroho


Ternate waters of North Maluku is one of Indonesian eastern waters whose maritime weather is often unpredictable. Weathers prediction is important to avoid accidents in the waters. The aim of this research is to obtain              a predictor model of wave’s height and current’s speed suitable for the Ternate waters using Takagi-Sugeno fuzzy logic. The data used is data from BMKG Maritime of Bitung which recorded per 6 hours during 5 years from July 2010 – June 2015. In order to reach accuracy of > 85%, 3 model predictor’s that used waves height and current speed are predictor Model A, Model B and Model C. Each model uses different input and total membership function. The result of this research shows that the Model C is the best model for Ternate waters. Model C uses 4 membership functions for 3 input variables. Inputs of waves height predictor consist of the actual wind speed (U(t)), actual waves height (H(t)) and waves height 6 hours ago (H(t-6)) and accuracy percentage of waves height 6 hours ahead (H(t+6)) is 91,99%; while inputs of current speed predictor consist of actual wind speed (U(t)), actual current speed (Cu(t)) and current speed 6 hours ago (Cu(t-6)) and accuracy percentage of current speed 6 hours ahead (Cu(t+6)) is 81,63%.


Maritime weather, waves height, current speed, Takagi-Sugeno fuzzy logic, Ternate waters, accuracy

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S. Arifin, A. S. Aisjah and H. Fatah, "Analysis of Maritime Weather Charachteristic Based on Result of Land Weather using Fuzzy Logic Prediction in Pasuruan, Probolinggo and Situbondo," in International Conference on Information, Communication Technology and System, Surabaya, 2014.

A. S. Aisjah and S. Arifin, "Aplikasi Sistem Logika Fuzzy pada Peramalan Cuaca Di Indonesia Untuk Mendeteksi Kejadian Anomali Tinggi Gelombang Laut," LPPM Institut Teknologi Sepuluh Nopember , Surabaya, 2010.

A. Zamani, D. Solomatine, A. Azimian and A. Heemink, "Learning from Data for Wind Wave Forecasting," Ocean Engineering, vol. 35, no. 10, pp. 953-962, 2008.

A. S. Aisjah and S. Arifin, "Maritime Weather Prediction using Fuzzy Logic in Java Sea," in International Conference On Instrumentation Control and Automation, Bandung, 2011.

G. Sylaios, F. Bouchette, V. A. Tsihrintzis and C. Denamiel, "A Fuzzy Inference System for Wind-Wave Modelling," Ocean Engineering, vol. 38, no. 17-18, p. 1358–1365, 2009.

World Meteorological Organization, Guide to wave and forecasting WMO- No 702, Geneva: Secretariat of The World Meteorological Organization, 1998.

W. Wei, Y. Zhang, G. Wu and M. Tong, "Ultra-short-term /Short-term Wind Power Continuous Prediction Based on Fuzzy Clustering Analysis”, IEEE PES ISGT ASIA 2012 1569613375," in IEEE PES Innovative Smart Grid Technologies, Tianjin, 2012.

M. H. Kazeminezhad, A. Etemad-Shahidi and S. J. Mousavi, "Aplication of Fuzzy Inference System In The Prediction Wave Parameters," Ocean Engineering, vol. 32, no. 14-15, pp. 1709-1725, 2005.



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