Irvan Nugroho
Teknik Informatika STMIK ATMA LUHUR PANGKALPINANG
Jl. Jendral Sudirman Selindung Lama Pangkalpinang Kepulauan Bangka Belitung
Email : kakashihatake781@gmail.com
Abstrak
Daily weather forecasts method developed by BMKG currently are subjective, or in other words are still very dependent on the operator. This study aims to develop a method of daily weather forecasts are objective. Objective means is by including certain data it will automatically obtained value forecasts, so no more subjective elements of the forecaster. Making this application refers to the rules of the Classic Life Cycle, which step by step through which must await the completion of the previous stage. Software methodology used is the stage of data collection and observation in the form of literature. Applications used in the manufacture of this application is eclipse. A comparison between the output and the target backpropagation training produces the value of R = 0.99975, the results of the test with a value of R = 0.7462, maximum error = 28.6841, and the minimum error = 0. A comparison between the output and the target training LVQ generate value R = 0.6305. Of the correlation value obtained training and testing, it is feasible to use the network to predict the next day’s rainfall. Based on the correlation of test results, weather parameters that determine rainfall in Pangkalpinang is rh 700, spfh 700, rh 500, rh 850 (air humidity layer 850, 700, and 500 mb) and ugrd-10 (U component of wind at a height of 10 meters). These parameters are used as input applications. Suggestions are given for the results obtained allow better is the use of multiple nearest grid points around the study site, increase the length of the data used, and try to use another network with a different algorithm.
Keyword: Weather Forecast, Android
