Khusniyah, - (2015) Faktor-Faktor Yang Mempengaruhi Total Fertility Rate (TFR) Di Indonesia Dengan Menggunakan Regresi Semiparametrik Spline Truncated. Undergraduate thesis, Institut Technology Sepuluh Nopember.
Preview |
Text
1312106006-Undergradute Thesis.pdf - Published Version Download (903kB) | Preview |
Abstract
Indonesia merupakan negara dengan jumlah penduduk yang besar. Menurut BPS (2013) jumlah penduduk Indonesia cenderung meningkat dari tahun ke tahun, sehingga dapat menjadi penghambat keberhasilan pembangunan apabila peningkatan jumlah penduduk tidak terkontrol. Salah satu upaya pemerintah dalam rangka mengendalikan laju pertumbuhan penduduk adalah melalui program KB. Salah satu indikator yang dapat digunakan untuk mengukur keberhasilan program KB adalah Total Fertility Rate (TFR). Faktor-faktor yang mempengaruhi TFR, sebagian memiliki pola tertentu (parametrik) dan sebagian lagi tidak memiliki pola tertentu (nonparametrik) sehingga pemodelan dilakukan dengan metode regresi semiparametrik spline. Penelitian ini menggunakan pendekatan spline dengan titik knot optimum didapatkan dengan metode Generalized Cross Validation (GCV). Berdasarkan hasil analisis didapat faktor-faktor yang berpengaruh signifikan terhadap TFR antara lain persentase keinginan membatasi kelahiran setelah memiliki 2 anak (X1), persentase Contraceptive Prevalence Rate (CPR) (X3), dan persentase akses media pesan KB (X4). Model regresi semiparametrik spline yang terbentuk memiliki nilai R2
========================================================================================================
Indonesia is a country with a large population. According to BPS (2013) Indonesia's population is likely to increase from year to year, so it can become an obstacle to the success of development if the increase in population uncontrolled. One of the government efforts to control the population growth rate is through the family planning program . One of the indicators that can be used to measure the success of family planning programs is the Total Fertility Rate (TFR). Factors that influence the TFR, the majority have a certain pattern (parametric) and some do not have a specific pattern (nonparametric) so that the modeling was conducted using semiparametric regression spline. This study uses spline approach with optimum knots point obtained from Generalized Cross Validation (GCV) method. Based on the analysis results obtained factors that significantly influence the TFR among others, the percentage desire birth control after having 2 children (X1), the percentage of Contraceptive Prevalence Rate (CPR) (X3), and the percentage of media access message KB (X4). Semiparametric regression model spline formed have R2
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.536 Khu f |
| Uncontrolled Keywords: | Total Fertility Rate (TFR), Regresi Semiparametrik Spline, GCV |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Tondo Indra Nyata |
| Date Deposited: | 01 Nov 2018 03:16 |
| Last Modified: | 01 Nov 2018 03:16 |
| URI: | http://repository.its.ac.id/id/eprint/59927 |
Actions (login required)
 |
View Item |