PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA
The study is aimed to estimate the best spline regression model for toddler’s weight growth patterns. Spline is one of the nonparametric regression estimation method which has a high flexibility and is able to handle data that change in particular subintervals so thus resulting in model which fitted...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universitas Udayana
2018-09-01
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| Series: | E-Jurnal Matematika |
| Online Access: | https://ojs.unud.ac.id/index.php/mtk/article/view/41903 |
| _version_ | 1818369316232364032 |
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| author | NI LUH SUKERNI I KOMANG GDE SUKARSA NI LUH PUTU SUCIPTAWATI |
| author_facet | NI LUH SUKERNI I KOMANG GDE SUKARSA NI LUH PUTU SUCIPTAWATI |
| author_sort | NI LUH SUKERNI |
| collection | DOAJ |
| description | The study is aimed to estimate the best spline regression model for toddler’s weight growth patterns. Spline is one of the nonparametric regression estimation method which has a high flexibility and is able to handle data that change in particular subintervals so thus resulting in model which fitted the data. This study uses data of toddler’s weight growth at Posyandu Mekar Sari, Desa Suwug, Kabupaten Buleleng. The best spline regression model is chosen based on the minimum Generalized Cross Validation (GCV) value. The study shows that the best spline regression model for the data is quadratic spline regression model with six optimal knot points. The minimum GCV value is 0,900683471925 with the determination coefficient equals to 0,954609. |
| first_indexed | 2024-12-13T23:21:54Z |
| format | Article |
| id | doaj.art-e62d1628163e4ab4ad94f0f16814eba4 |
| institution | Directory Open Access Journal |
| issn | 2303-1751 |
| language | English |
| last_indexed | 2024-12-13T23:21:54Z |
| publishDate | 2018-09-01 |
| publisher | Universitas Udayana |
| record_format | Article |
| series | E-Jurnal Matematika |
| spelling | doaj.art-e62d1628163e4ab4ad94f0f16814eba42022-12-21T23:27:43ZengUniversitas UdayanaE-Jurnal Matematika2303-17512018-09-017325926310.24843/MTK.2018.v07.i03.p21241903PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITANI LUH SUKERNI0I KOMANG GDE SUKARSA1NI LUH PUTU SUCIPTAWATI2Udayana UniversityUdayana UniversityUdayana UniversityThe study is aimed to estimate the best spline regression model for toddler’s weight growth patterns. Spline is one of the nonparametric regression estimation method which has a high flexibility and is able to handle data that change in particular subintervals so thus resulting in model which fitted the data. This study uses data of toddler’s weight growth at Posyandu Mekar Sari, Desa Suwug, Kabupaten Buleleng. The best spline regression model is chosen based on the minimum Generalized Cross Validation (GCV) value. The study shows that the best spline regression model for the data is quadratic spline regression model with six optimal knot points. The minimum GCV value is 0,900683471925 with the determination coefficient equals to 0,954609.https://ojs.unud.ac.id/index.php/mtk/article/view/41903 |
| spellingShingle | NI LUH SUKERNI I KOMANG GDE SUKARSA NI LUH PUTU SUCIPTAWATI PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA E-Jurnal Matematika |
| title | PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA |
| title_full | PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA |
| title_fullStr | PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA |
| title_full_unstemmed | PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA |
| title_short | PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA |
| title_sort | pendekatan regresi spline untuk memodelkan pola pertumbuhan berat badan balita |
| url | https://ojs.unud.ac.id/index.php/mtk/article/view/41903 |
| work_keys_str_mv | AT niluhsukerni pendekatanregresisplineuntukmemodelkanpolapertumbuhanberatbadanbalita AT ikomanggdesukarsa pendekatanregresisplineuntukmemodelkanpolapertumbuhanberatbadanbalita AT niluhputusuciptawati pendekatanregresisplineuntukmemodelkanpolapertumbuhanberatbadanbalita |