Application of The K-Nearest Neighbor Ensemble Method in Predicting The Human Development Index and Its Relationship with The Unemployment Rate in Central Sulawesi Province

Abstract

Unemployment has an impact on economic development and also community welfare. One of the indicators to measure the level of development is the Human Development Index (HDI). Therefore, the purpose of this research is to obtain the results of HDI prediction and the relationship with the unemployment rate. The method used in this study is the K-NN Ensemble method. This research was conducted using HDI data consisting of data on school life expectancy, per capita expenditure, average school duration, and life expectancy as well as unemployment rate data. The results of the HDI prediction in Central Sulawesi Province are with an average of 69.03 with a MAPE value of 1.45%. Based on the correlation test, it was found that the relationship between HDI and the unemployment rate with a significant value below 0.05 was 0.001. The resulting correlation value is 0.803 which shows that the closeness is very strong and has a negative correlation coefficient property.