PEMODELAN REGRESI PROBIT ORDINAL PADA STATUS KETAHANAN PANGAN DI PULAU SUMATERA

Simple item page
dc.contributor.authorAufa, Yaumil Rahmatul
dc.contributor.supervisorAdnan, Arisman
dc.date.accessioned2022-01-19T07:24:42Z
dc.date.available2022-01-19T07:24:42Z
dc.date.issued2021-07
dc.description.abstractFood 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 Nagelkerkeen_US
dc.description.sponsorshipProgram Studi S1 Statistika Jurusan Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10443
dc.language.isoenen_US
dc.publisherperpustakaan URen_US
dc.subjectFood securityen_US
dc.subjectprobit ordinal regressionen_US
dc.subjectpseudo-R2 Nagelkerkeen_US
dc.titlePEMODELAN REGRESI PROBIT ORDINAL PADA STATUS KETAHANAN PANGAN DI PULAU SUMATERAen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Yaumil Rahmatul Aufa_compressed.pdf
Size:
149.68 KB
Format:
Unknown data format
Description:
artikel
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Mathematics