Reconstruction of Non-linear Path Analysis Accompanied by Measurement Models on Food Security Models in Indonesia Post-Covid19 Pandemic Based on Big Data

a47f8b51-6447-4bfe-aa96-9dbb971c9e2a20211201090722748wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON MATHEMATICS2224-28801109-276910.37394/23206http://wseas.org/wseas/cms.action?id=40513220213220212010.37394/23206.2021.20https://wseas.org/wseas/cms.action?id=23278Reconstruction of Non-linear Path Analysis Accompanied by Measurement Models on Food Security Models in Indonesia Post-Covid19 Pandemic Based on Big DataSolimun-Department of Statistic Brawijaya University St. Veteran, Lowokwaru, Malang, East Java INDONESIAAdji Achmad RinaldoFernandesDepartment of Statistic Brawijaya University St. Veteran, Lowokwaru, Malang, East Java INDONESIANurjannah-Department of Statistic Brawijaya University St. Veteran, Lowokwaru, Malang, East Java INDONESIAIndahYantiDepartment of Statistic Brawijaya University St. Veteran, Lowokwaru, Malang, East Java INDONESIALuthfatulAmalianaDepartment of Statistic Brawijaya University St. Veteran, Lowokwaru, Malang, East Java INDONESIAEva FadilahRamadhaniDepartment of Statistic Brawijaya University St. Veteran, Lowokwaru, Malang, East Java INDONESIAFathiyatul Laili NurRasyidahDepartment of Statistic Brawijaya University St. Veteran, Lowokwaru, Malang, East Java INDONESIAThis study aims to map and model the determinants of food security. Mapping is done by cluster and biplot analysis, while modeling is done by non-linear path analysis. This research is mix-method research that combines quantitative and qualitative research. In the qualitative method, this study applies a qualitative Discourse Network Analysis (DNA) approach. Sources of DNA data come from various information in cyberspace (mass media, journals, articles, etc.) that are in accordance with the research context. In DNA data processing, statements, actors, concepts/issues, sentiments, along with the origin of the organization will be generated. As for the quantitative method, this study uses descriptive statistical analysis, biplot, cluster, and non-linear path analysis (square and cubic). The coefficient of determination for both quadratic and cubic path analysis is 0.88, which means that the influence of the independent variable simultaneously on the Y variable is 0.88, which is very strong. 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