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

Annisa Nur Insany, Nur'eni Nur'eni, Mohammad Fajri
2019 Natural Science Journal of Science and Technology  

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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
more » ... 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).
doi:10.22487/25411969.2019.v8.i2.13532 fatcat:p3xs5cxwg5gtnm7mfgums772li
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Annisa Nur Insany, Nur'eni Nur'eni, Mohammad Fajri. "Pemodelan IPM Di Kawasan Timur Indonesia Menggunakan Multivariate Adaptive Regression Spline (MARS)." Natural Science Journal of Science and Technology 8.2 (2019)