dc.contributor.author |
Doyo, Medtrio |
|
dc.date.accessioned |
2021-09-30T06:44:31Z |
|
dc.date.available |
2021-09-30T06:44:31Z |
|
dc.date.issued |
2021-02 |
|
dc.identifier.other |
wahyu sari yeni |
|
dc.identifier.uri |
https://repository.unri.ac.id/handle/123456789/10242 |
|
dc.description.abstract |
The 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.provenance |
Submitted by wahyu sari yeni (ayoe32@ymail.com) on 2021-09-30T06:44:31Z
No. of bitstreams: 1
Medtrio Doyo_compressed.pdf: 230643 bytes, checksum: e080c2e3cdd468a19276a77f45ff1707 (MD5) |
en |
dc.description.provenance |
Made available in DSpace on 2021-09-30T06:44:31Z (GMT). No. of bitstreams: 1
Medtrio Doyo_compressed.pdf: 230643 bytes, checksum: e080c2e3cdd468a19276a77f45ff1707 (MD5)
Previous issue date: 2021-02 |
en |
dc.description.sponsorship |
Program Studi S1 Statistika
Jurusan Matematika
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riau |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Binary logistic regression analysis |
en_US |
dc.subject |
welfare |
en_US |
dc.subject |
elderly population |
en_US |
dc.subject |
elderly welfare |
en_US |
dc.title |
ANALISIS REGRESI LOGISTIK BINER PADA TINGKAT KESEJAHTERAAN LANSIA DI KOTA PEKANBARU |
en_US |
dc.type |
Article |
en_US |
dc.contributor.supervisor |
Harison, Harison |
|