PEMODELAN REGRESI PROBIT ORDINAL PADA STATUS KETAHANAN PANGAN DI PULAU SUMATERA

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Date

2021-07

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perpustakaan UR

Abstract

Food is a basic need of an individual so that the fulfillment of food is something that is very important in order to have the better generation. The purpose of this study is to model the food security of Sumatera Island in 2018. The response variables used are three levels, namely food insecurity, vulnerable to food insecurity and food security with 10 predictor variables using ordinal probit regression. From the analysis that has been carried out, it is found that four predictor variables have an effect on the model, namely the rice production, the percentage of illiterate women, stunting toddlers and the average length of schooling variable where the significant variable is explained by pseudo-R2 Nagelkerke

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Keywords

Food security, probit ordinal regression, pseudo-R2 Nagelkerke

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