Abstract.One of the roles of decision support system is that it can assist the decision maker in obtaining the appropriate alternative with the desired criteria, one of the methods that could apply for the decision maker is SMART method with multicriteria decision making. This multi-criteria decision-making theory has meaning where every alternative has criteria and has value and weight, and the author uses this approach to facilitate decision making with a compelling case. The problems discussed in this paper are classified into problems of a variety Multiobjective (multiple goals to be accomplished) and multicriteria (many of the decisive criteria in reaching such decisions).
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.
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