Pemodelan IPM Di Kawasan Timur Indonesia Menggunakan Multivariate Adaptive Regression Spline (MARS)

Abstract

Human Development Index (HDI) is an important issue in designing and strategizing of sustainable development. Multivariate Adaptive Regression Spline (MARS) is a regression approach that produces models with continous character on knots. MARS models are determined based on trial and error for a combination of basis function (BF), maximum interaction (MI), and minimum observation (MO). The determination of knots is based on the minimum Generalized Cross Validation (GCV) value. The results of this study are the combination value of BF = 52, MI = 3, and MO = 2 with a minimum GCV of 0,00049. The factors that influence HDI are average school length (X2) per capita expenditure (X4), life expactancy (X3), persentage of poor woman aged 15-49 who use the birth control tool (X5).

Klasifikasi Pengeluaran per Kapita di Tiga Provinsi Sulawesi menggunakan K-Nearest Neighbor

“…Nilai indeks Gini yang sama dengan 0 mengindikasikan distribusi pendapatan yang sangat merata, sedangkan nilai indeks Gini yang sama dengan 1 menunjukkan distribusi pendapatan yang sangat tidak merata [5]. Hal serupa dilakukan oleh penelitian [6] bahwa ketimpangan perekonomian dan pembangunan juga terjadi di Kawasan Timur seperti Sulawesi Selatan, Sulawesi Utara, dan Sulawesi Tenggara.…”

Analysis of Relation Human Development Index and Economic Growth Regency/City in the Province of West Kalimantan

“…Several studies on the relationship between the development of human quality and economic progress, including those made by Ningrum et al (2020), Andriyani and Wibowo (2019) on the Examination of Cointegration of Monetary and HDI Developments in the Focal Java City Area, Asghar et al (2012) using cointegration and causality analysis on the relationship between economic growth and HDI in Pakistan. Then, Insany and Fajri (2019) were doing a similar study and the other was also carried out by Saragih (2018). The author is interested in conducting research based on the background given using causality and cointegration analysis in districts/cities spread throughout West Kalimantan Province, with the aim of knowing the Cointegration and causal relationship between HDI and economic development.…”