penerapan regresi poisson untuk mengetahui faktor-faktor yang memengaruhi jumlah siswa sma/smk yang tidak lulus un di bali
Clicks: 133
ID: 233979
2012
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
133 views
12 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #19 of 31 articles by views in brain: broad research in artificial intelligence and neuroscience
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This study aims to determine factors that influence the number of high/vocational school students that do not pass the examination in Bali in 2011. Factors that used in this study are the external factors include the proportion of public high/vocational school, proportion of the classrooms high/vocational school have damaged, the proportion of high/vocational school teachers have certified, and the number of participants high/vocational school national examination. This study uses Poisson regression analysis. Poisson regression is included in the Generalized Linear Models and this is one of the regression analysis for count data models with Poisson distributed response variables. Poisson regression analysis methods assume the mean and variance of the response variables are equal. Response variable is said to be Poisson distributed and overdispersion not happen if the value of the ratio between the variance and the mean close to one and less than 2.5. Test results show the response variable in this study Poisson distributed and there is no overdispersion. The analysis showed that all four factors are independent variables in this study affect the response variable is the number of high school/vocational school students which do not pass the examination.
| Reference Key |
yulianingsih2012e-jurnalpenerapan
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;KOMANG AYU YULIANINGSIH;KOMANG GDE SUKARSA;LUH PUTU SUCIPTAWATI |
| Journal | brain: broad research in artificial intelligence and neuroscience |
| Year | 2012 |
| DOI |
10.24843/MTK.2012.v01.i01.p010
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.