Abstract:
The Human Development Index (HDI) in Indonesia currently ranks 121 out of 187
countries and Indonesia is in 6th position out of 10 ASEAN countries, where the quality
of human resources in Indonesia is still low. This research is HDI modeling using
nonparametric regression additive spline smoothing with penalized estimator. The data
used is secondary data obtained from BPS (2019). This data includes the Human
Development Index (IPM), Life Expectancy (UHH), Expected Length of Schooling
(HLS), Average Length of Schooling (RLS), and Adjusted Per capita Expenditure (PPD)
in 2019. Spline smoothing method with penalized estimator can be obtained from this
research is one optimal knot point using generalized cross validation criteria, then the
application of a nonparametric regression model additive spline smoothing with a
penalized estimator on HDI data in Indonesia which has an MSE of 0,002623 and an Rsquare
of 99,98
