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