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PENGELOMPOKAN PROVINSI DI INDONESIA BERDASARKAN DATA PENGANGGURAN MENGGUNAKAN AGGLOMERATIVE HIERARCHICAL CLUSTERING AVERAGE LINKAGE ALGORITHM ROMY YUNIKA PUTRA; RAHMAT KURNIA; ALFI SYUKRIA
Maqdis: Jurnal Kajian Ekonomi Islam Vol 7, No 2 (2022): Juli - Desember 2022
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/maqdis.v7i2.242

Abstract

Model Regresi Nonparametrik Spline Truncated Untuk Memprediksi Prevalensi Stunting di Sumatera Barat: Penelitian Romy Yunika Putra; Fitra Ermila Basri
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4746

Abstract

Not all predictor variables can be approached with a parametric regression approach. This occurs because there is no information about the form of the relationship pattern between the response variable (Y) and the predictor variable (X). Therefore, a nonparamatric regression approach must be used to estimate the regression curve. Truncated Spline nonparametric regression has high flexibility and is able to handle changing data behavior in certain sub-intervals and tends to find its own data estimate wherever the data pattern moves. This study aims to model the prevalence of stunting in West Sumatra using truncated spline nonparametric regression. Model selection is carried out with 1 knot, 2 knots and 3 knots. The research results show that the best model is using 3 knot points, with a resulting GCV of 0.01 and a coefficient of determination (R2) of 99.99%.