JARINGAN SYARAF TIRUAN MEMPREDIKSI LAJU PERTUMBUHAN PENDUDUK KOTA BINJAI METODE BACKPROPAGATION
Population growth is so rapid that it affects the economy and the unemployment rate in an area that has this population growth rate. So we need a system that can predict the number of population growth which aims to find out how many city residents each year by using an artificial neural network with the Backpropagation method. Data on the number of population used is the data for 2009-2018 in the form of data every year. With a maximum epoch between 0-10000, a learning rate of 0.2 and target errors start at 0.01. up to 56519.4 to get convergent results. The results of the predicted population growth rate after conducting the training and testing process, the predicted results of the population growth rate have decreased with an average prediction result of 56516.9637 to get convergent results.