BOBOT SECARA GEOGRAFIS PADA KASUS DEMAM BERDARAH DENGUE DI INDONESIA TAHUN 2015

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dc.contributor.authorRomaslia, Susanti
dc.contributor.supervisorBustami, Bustami
dc.date.accessioned2022-12-09T08:23:19Z
dc.date.available2022-12-09T08:23:19Z
dc.date.issued2022-07
dc.description.abstractRelationship analysis on spatial data can be done by using the method Geographically Weighted Poisson Regression (GWPR), which is a local form of Poisson regression which is applied to spatial data, where location is considered. The purpose of this study was to determine the GWPR model and the factors that influence the number of cases of Dengue Hemorrhagic Fever (DHF) in Indonesia in 2015. The spatial weighting used is the Gaussian kernel function and the optimum bandwidth. The parameter estimation method for the GWPR model is Maximum Likelihood Estimate (MLE). The results of this study indicate that the maximum likelihood estimator is obtained using the Newton-Raphson iteration method and the factors that affect the number of DHF cases in Indonesia are local. Locally influencing factors are population density, number of health workers, number of health facilities, and amount of rainfall.en_US
dc.description.sponsorshipFakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10776
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectGeographically Weighted Poisson Regressionen_US
dc.subjectPoisson Regressionen_US
dc.subjectDengue Hemorrhagic Feveren_US
dc.subjectGaussian Kernel Functionen_US
dc.subjectSpatialen_US
dc.subjectMaximum Likelihood Estimationen_US
dc.titleBOBOT SECARA GEOGRAFIS PADA KASUS DEMAM BERDARAH DENGUE DI INDONESIA TAHUN 2015en_US
dc.typeArticleen_US

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