ARTIFICIAL NEURAL NETWORK UNTUK PROYEKSI LAJU PERTUMBUHAN PENDUDUK DI KABUPATEN KARO PADA TAHUN 2030

Abstract

There are three demographic factors that influence the population growth rate, namely births, deaths, and displacement. The purpose of this study is to project the population growth rate in Karo district in 2030 so that the results of this study can be taken policies or strategies by the Karo district government, if later the projection results in 2030 the population growth rate is categorized as high. The impact of the population growth rate is seen from the large number of people and the high growth rate has consequences for the difficulty of finding work, high food prices, education costs, health and many social problems due to unemployment and so on. To be able to project the population growth rate in karo district, an artificial neural network approach is used. The results of the study that the correlation value obtained is 0.9761, This means that the projection of the population growth rate of Karo district using data spanning 8 years from 2015 to 2022 is classified as good, the smallest error value is seen in the 67th data which is -0.0005 and the largest error in the 1st data is 0.2204 MSE value from the end of training is 0.075491.