PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI
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/voc...
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| Format: | Article |
| Language: | English |
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Universitas Udayana
2012-09-01
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| Series: | E-Jurnal Matematika |
| Subjects: | |
| Online Access: | https://ojs.unud.ac.id/index.php/mtk/article/view/1783 |
| _version_ | 1818321646855913472 |
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| author | KOMANG AYU YULIANINGSIH KOMANG GDE SUKARSA LUH PUTU SUCIPTAWATI |
| author_facet | KOMANG AYU YULIANINGSIH KOMANG GDE SUKARSA LUH PUTU SUCIPTAWATI |
| author_sort | KOMANG AYU YULIANINGSIH |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T10:44:13Z |
| format | Article |
| id | doaj.art-fb2d8aed7b934ba6aae5236f8cf823f5 |
| institution | Directory Open Access Journal |
| issn | 2303-1751 |
| language | English |
| last_indexed | 2024-12-13T10:44:13Z |
| publishDate | 2012-09-01 |
| publisher | Universitas Udayana |
| record_format | Article |
| series | E-Jurnal Matematika |
| spelling | doaj.art-fb2d8aed7b934ba6aae5236f8cf823f52022-12-21T23:50:19ZengUniversitas UdayanaE-Jurnal Matematika2303-17512012-09-0110.24843/MTK.2012.v01.i01.p0101783PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALIKOMANG AYU YULIANINGSIH0KOMANG GDE SUKARSA1LUH PUTU SUCIPTAWATI2Universitas UdayanaUniversitas UdayanaUniversitas UdayanaThis 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.https://ojs.unud.ac.id/index.php/mtk/article/view/1783Poisson RegressionGeneralized Linear ModelsOverdispersion |
| spellingShingle | KOMANG AYU YULIANINGSIH KOMANG GDE SUKARSA LUH PUTU SUCIPTAWATI PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI E-Jurnal Matematika Poisson Regression Generalized Linear Models Overdispersion |
| title | PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI |
| title_full | PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI |
| title_fullStr | PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI |
| title_full_unstemmed | PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI |
| title_short | PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI |
| title_sort | penerapan regresi poisson untuk mengetahui faktor faktor yang memengaruhi jumlah siswa sma smk yang tidak lulus un di bali |
| topic | Poisson Regression Generalized Linear Models Overdispersion |
| url | https://ojs.unud.ac.id/index.php/mtk/article/view/1783 |
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