ANALISIS REGRESI LOGISTIK BINER PADA TINGKAT KESEJAHTERAAN LANSIA DI KOTA PEKANBARU

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dc.contributor.authorDoyo, Medtrio
dc.contributor.supervisorHarison, Harison
dc.date.accessioned2021-09-30T06:44:31Z
dc.date.available2021-09-30T06:44:31Z
dc.date.issued2021-02
dc.description.abstractThe welfare of the elderly in Indonesia is ranked 74 out of 96 countries studied with an index score of 36.6. This index can be said that the welfare of the elderly in Indonesia is still very lacking, so the government must pay special attention to the elderly population so that the elderly population can remain in a prosperous condition. Some of these variables gender, marital status, type of area, presence of travel, ownership of health insurance, ownership of savings, use of cellphones, whether or not they are victims of crime, having health complaints are affected of contributing to welfare in Pekanbaru City. The data used is the Riau Province BPS data of 2009 in the form of cross section data. Then, the analysis is carried out using binary logistic regression in order to obtain modeling for the welfare of the elderly in Pekanbaru City. The study shows that the factors that influence the welfare level of the elderly are age, gender, type of area, marital status, ownership of savings, use of cellphones, health complaints, crime victims and ownership of health insurance. Furthermore the variables that has a tendency on welfare are age , gender, use of cellphones and ownership of savings.en_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/123456789/10242
dc.language.isoenen_US
dc.subjectBinary logistic regression analysisen_US
dc.subjectwelfareen_US
dc.subjectelderly populationen_US
dc.subjectelderly welfareen_US
dc.titleANALISIS REGRESI LOGISTIK BINER PADA TINGKAT KESEJAHTERAAN LANSIA DI KOTA PEKANBARUen_US
dc.typeArticleen_US

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