Title: Modeling Papua Province Human Development Index with Fourier Series Multiresponse Nonparametric Regression Approach
Authors: Suliyanto, Dita Amelia, Toha Saifudin, Mochamad Rasyid Aditya Putra, Syafa Rossita Firdadhila Supriyanto, Sediono
Volume: 8
Issue: 12
Pages: 51-56
Publication Date: 2024/12/28
Abstract:
The inadequate quality of human resources is reflected in the Human Development Index (HDI) which places Indonesia in 121st position out of 187 countries. One of the provinces with the lowest HDI in Indonesia is Papua. According to the Central Bureau of Statistics (BPS), in 2023, Papua Province recorded a development index achievement of 63.01 percent. Therefore, efforts are needed to improve human development as one of the keys in achieving the Sustainable Development Goals (SDGs) program, especially goals 3, 4, and 8 which focus on health and well-being, quality education, and decent work and economic growth. Currently, the government has launched a program to improve HDI in Papua known as Generasi Emas (Gemas) Papua, as part of the ten sustainable development goals to be realized in the region. In general, research on the Human Development Index (HDI) often uses the Fourier series method. The Fourier series is a trigonometric polynomial that is very flexible and can adjust to the local characteristics of the data well. The results showed that the optimal oscillation parameter value was found in the combination of K (2, 1, 1) with a GCV value of 2.782668. In addition, the MSE value of 1.459163, MAPE of 10.94899%, and R-Square value of 99.78917% were obtained. Based on these results, prediction using the Fourier series multi-response nonparametric regression method shows a very high level of accuracy.