ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA HARAPAN HIDUP DI PROVINSI JAWA BARAT, 2007-2009
Life Expectancy (LE) is one of the main components of the Human Development Index as well as an indicator of the impact of increased community health status. The research was motivated by LE in West Java Province who are unable to reach the target of health development at the end of 2009 as outlined...
| Main Authors: | , |
|---|---|
| Format: | Thesis |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2011
|
| Subjects: |
| _version_ | 1797030802889900032 |
|---|---|
| author | , Dwi Putri Rakhmawati , Drs. Ahmad Jamli, M.A., |
| author_facet | , Dwi Putri Rakhmawati , Drs. Ahmad Jamli, M.A., |
| author_sort | , Dwi Putri Rakhmawati |
| collection | UGM |
| description | Life Expectancy (LE) is one of the main components of the Human
Development Index as well as an indicator of the impact of increased community
health status. The research was motivated by LE in West Java Province who are
unable to reach the target of health development at the end of 2009 as outlined in
the RPJMN 2004-2009. Based on those problem, the research aims to analyze the
factors that affect the LE in West Java province during the period 2007-2009.
The data used LE as the dependent variable. The ratio of doctors per
100.000 population, the percentage of Posyandu-Purnama Mandiri, Literacy Rates
and adjusted expenditure per capita as the independent variable.
Panel regression is use to analyze data by combining the observed time
series data from 2007 to 2009 and cross section data surrounding the 26 districts /
cities in West Java province. Estimated regression model is done through fixed
effect approaches.
Estimation results show that under the significance level of 5 percent,
only adjusted expenditure per capita is positive and significant effect on LE in
accordance with theoretical studies. Taken together, all of the independent
variables in a positive and significant effect on LE. Coefficient of determination
R2 value indicates that the variation of the independent variable can explain the
variation of LE by 99,54 percent, while the rest is explained by the variation of
other variables outside the model. |
| first_indexed | 2024-03-13T22:11:32Z |
| format | Thesis |
| id | oai:generic.eprints.org:90782 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:11:32Z |
| publishDate | 2011 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:907822014-08-20T02:51:08Z https://repository.ugm.ac.id/90782/ ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA HARAPAN HIDUP DI PROVINSI JAWA BARAT, 2007-2009 , Dwi Putri Rakhmawati , Drs. Ahmad Jamli, M.A., ETD Life Expectancy (LE) is one of the main components of the Human Development Index as well as an indicator of the impact of increased community health status. The research was motivated by LE in West Java Province who are unable to reach the target of health development at the end of 2009 as outlined in the RPJMN 2004-2009. Based on those problem, the research aims to analyze the factors that affect the LE in West Java province during the period 2007-2009. The data used LE as the dependent variable. The ratio of doctors per 100.000 population, the percentage of Posyandu-Purnama Mandiri, Literacy Rates and adjusted expenditure per capita as the independent variable. Panel regression is use to analyze data by combining the observed time series data from 2007 to 2009 and cross section data surrounding the 26 districts / cities in West Java province. Estimated regression model is done through fixed effect approaches. Estimation results show that under the significance level of 5 percent, only adjusted expenditure per capita is positive and significant effect on LE in accordance with theoretical studies. Taken together, all of the independent variables in a positive and significant effect on LE. Coefficient of determination R2 value indicates that the variation of the independent variable can explain the variation of LE by 99,54 percent, while the rest is explained by the variation of other variables outside the model. [Yogyakarta] : Universitas Gadjah Mada 2011 Thesis NonPeerReviewed , Dwi Putri Rakhmawati and , Drs. Ahmad Jamli, M.A., (2011) ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA HARAPAN HIDUP DI PROVINSI JAWA BARAT, 2007-2009. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=53356 |
| spellingShingle | ETD , Dwi Putri Rakhmawati , Drs. Ahmad Jamli, M.A., ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA HARAPAN HIDUP DI PROVINSI JAWA BARAT, 2007-2009 |
| title | ANALISIS FAKTOR-FAKTOR
YANG MEMPENGARUHI ANGKA HARAPAN HIDUP
DI PROVINSI JAWA BARAT, 2007-2009 |
| title_full | ANALISIS FAKTOR-FAKTOR
YANG MEMPENGARUHI ANGKA HARAPAN HIDUP
DI PROVINSI JAWA BARAT, 2007-2009 |
| title_fullStr | ANALISIS FAKTOR-FAKTOR
YANG MEMPENGARUHI ANGKA HARAPAN HIDUP
DI PROVINSI JAWA BARAT, 2007-2009 |
| title_full_unstemmed | ANALISIS FAKTOR-FAKTOR
YANG MEMPENGARUHI ANGKA HARAPAN HIDUP
DI PROVINSI JAWA BARAT, 2007-2009 |
| title_short | ANALISIS FAKTOR-FAKTOR
YANG MEMPENGARUHI ANGKA HARAPAN HIDUP
DI PROVINSI JAWA BARAT, 2007-2009 |
| title_sort | analisis faktor faktor yang mempengaruhi angka harapan hidup di provinsi jawa barat 2007 2009 |
| topic | ETD |
| work_keys_str_mv | AT dwiputrirakhmawati analisisfaktorfaktoryangmempengaruhiangkaharapanhidupdiprovinsijawabarat20072009 AT drsahmadjamlima analisisfaktorfaktoryangmempengaruhiangkaharapanhidupdiprovinsijawabarat20072009 |