PEMODELAN REGRESI NONPARAMETRIK SPLINE DAN APLIKASINYA PADA INDEKS KEBAHAGIAAN PROVINSI DI INDONESIA

Abstract

The Happiness Index is currently one of the indicators of well-being that is the main focus of stakeholders. In Indonesia, the Happiness Index is only found at the provincial level and has differences. The difference in the Happiness Index of each Province is influenced by many factors so that the purpose of this study is to analyze the factors that affect the Happiness Index of Provinces in Indonesia. The results showed that the best Spline Nonparametric Regression model for the Provincial Happiness Index in Indonesia was a model with a combination of 2,1,3,2,3 knot points which had a minimum Generalized Cross Validation (GCV) value of 2.38 with four predictor variables that had a significant effect between Others are Literacy Rate, Open Unemployment Rate, Clean and Healthy Life Behavior, and Percentage of Poor Population.