Computational of Distribution of Wind Speed as Preliminary Information for Fishers: Case Study in Lombok Sea
International Journal of Advanced Trends in Computer Science and Engineering · 2020
Wind speed and direction are two important things needed for safety by fishermen when going for fish in the sea.The shifting season in Indonesia is very visible nowadays, while the fishermen still use traditional techniques in determining the time will be at sea, so there is not a slight accident experienced by fishermen when it is in the middle of the ocean.Therefore, it is the responsibility of the relevant Government to convey early information to the fishermen for their safety.The purpose of this research is to provide alternative information in determining the wind speed and direction using the Artificial Neural Network type Back Propagation (ANN-BP) method.Prediction result with monthly data input for the last 12 years can be used as a reference by the Government to be presented to the fishermen in order to determine when to find fish and more anticipatory in seeing the speed of the wind is influential on the wave speed and height in the sea.The predicted result with the architecture of the 144 layers input, the 10 layers hidden-1, 5 layers hidden-2, and 1 output layer resulted in an average minimum wind speed of 2,996 knots, the average maximum wind speed of 31,500 knots, and the average wind direction of 207,824 0