Abstract
Weather forecasting is one of the important factors in daily life, as it can affect the activities carried out by the community. The study was conducted to optimize weather forecasts using artificial neural network methods. The artificial neural network used is a learning vector quantization (LVQ) method, in which artificial neural networks based on previous research are suitable for prediction. The research is modeling weather forecast optimization using the LVQ method. Models with the best accuracy can be used in terms of weather forecasts. Based on the results of the training that has been done in this study produces the best accuracy on the LVQ method which is to produce 72%.
Highlights
Forecast is an activity that predicts an event in the future
Weather forecasting is an activity that predicts the weather in the future, weather forecasts can predict the potential for rain that will occur in the future [1]
Artificial Neural Network is a suitable method in terms of weather forecasting based on existing weather parameters
Summary
Forecast is an activity that predicts an event in the future. Weather is a state of the atmosphere which is expressed by the value of various parameters, including temperature, pressure, wind, humidity and various phenomena of rain, in a place or region during a short period of time, minutes, hours, days, months, seasons, years. Artificial Neural Network is a suitable method in terms of weather forecasting based on existing weather parameters. The above method has been widely used in terms of prediction one example is prediction optimization used for rainfall forecasting optimization [2], in the study used JST reverse propagation and genetic algorithms. Results obtained in previous studies show good results for Artificial Neural Network (ANN) use. To make predictions, it requires a classification of the elements required in terms of prediction of the field. At least one year of data is needed, the data is taken every day with a set hour, the data is obtained from the Meteorology and Climatology Agency (BMKG) where this research was conducted. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. 69/332
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