Classification of Unemployment at West Sumatra Province in 2021 using Algorithm Classification and Regression Tree

Abstrak

The problem of unemployment is a problem that often occurs in developing countries. This is caused by an imbalance between the number of the workforce and the number of working people. According to the Central Statistics Agency, West Sumatra Province in 2021 is the eighth province that has a high open unemployment rate namely 6,52%, which is higher than the average open unemployment rate in Indonesia namely 6,49%. An increase in unemployment has occurred from 2017 to 2021 which is caused by educated unemployment. This is caused by the habits of job seekers who tend to choose existing types of work, while business needs are very limited. The unemployment problem will get higher if it is not addressed. As a result, unemployment can cause poverty and other social problems. In this study, CART analysis was used to classify unemployment in West Sumatra Province in 2021, which aims to determine the factors that influence unemployment. Classification and Regression Tree (CART) is a decision tree that describes the relationship between a response variable and one or more predictor variables. The purpose of CART analysis is to obtain accurate data groups as characteristics of a classification. Based on the analysis obtained, the variables that infuence unemployment in West Sumatra Province in 2021 are the variables of marital status, gender, household status, education level, age, and place of residence with an accuracy value of 71,73%.  

Keywords: CART, Unemployment, Classification