Global Science Education Journal
Vol 1 No 1 (2019): Mei

MULTIVARIATE ADAPTIVE REGRESSION SPLINES MODELING FOR HOUSEHOLD FOOD SECURITY IN CENTRAL BORNEO PROVINCE 2017

Wibowo, Ananto (Unknown)



Article Info

Publish Date
10 Apr 2019

Abstract

This study aims to make a model household food security with social, economic and demographic variables in Central Borneo Province using nonparametric regression, Multivariate Adaptive Regression Splines (MARS). The source of data was 2017 Socioeconomic Survey (SUSENAS) from Central Bureau of Statistics. The model shows that all variables have significant to affect household food security with importance level: area type (100%), age (99.47%), the amount of people in a household (88.57%), access to credit (81.01%), head of household education (19.74%), and gender (11.08%). In addition, there are four basic functions with no variable interaction, two basic functions with two variable interactions and two basic functions with three variable interactions on the MARS model specification.

Copyrights © 2019






Journal Info

Abbrev

ges

Publisher

Subject

Humanities Earth & Planetary Sciences Environmental Science Languange, Linguistic, Communication & Media Other

Description

Global Science Education Journal is a peer-reviewed scientific open access, with e-ISSN 2656-9191 pISSN 2656-6281 published by Sains Global Institut Indonesia. Global Science Education Journal published research articles on Education, mainly related to teaching, learning, theories and practices in ...