Penerapan Metode Linear Regression dalam Mengestimasi Jumlah Penduduk

Abstract

A population is a group of people who live in an area to settle with existing needs. Population growth is growing rapidly to date, so action is needed to anticipate the rate of population growth. This study aims to estimate the population of the province of North Sumatra by using computer science techniques. The source of research data comes from the Central Statistics Agency (abbreviated BPS) Indonesia. The data used is the 2010-2020 dataset which consists of the total population consisting of men and women in Indonesia. The data is processed using Rapidminer software. This algorithm was chosen linear regression because it is able to make an estimate by utilizing old data. So that it can produce a pattern of relationships between the attributes that affect the rate of population growth. The research results obtained can be used as recommendations or input to the subsection of population data collection at the BPS North Sumatra in making it easier to predict or estimate data so as to minimize the rate of population, especially in Indonesia.