Serin, Fattara Diwa (2019) Pemodelan Faktor-Faktor yang Memengaruhi Unmet Need KB di Indonesia dengan Menggunakan Regresi Nonparametrik Spline Truncated. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Indonesia merupakan salah satu negara yang turut berkomitmen untuk berkontribusi terhadap tujuan dan target Sustainable Development Goals (SDGs). Salah satu target yang ingin dicapai adalah memastikan akses universal terhadap layanan kesehatan seksual dan reproduksi termasuk didalamnya keluarga berencana. Dalam pelaksanaan program KB, masih terdapat indikator yang kurang berhasil yaitu tingginya angka unmet need (kebutuhan ber-KB yang tidak terpenuhi) di Indonesia. Berdasarkan SDKI 2017, angka unmet need Indonesia belum mencapai target sebesar 10.26%. Unmet need menyebabkan 6-16% kematian ibu disebabkan oleh praktik aborsi yang tidak aman. Pada penelitian ini akan dianalisis faktor-faktor yang memengaruhi unmet need KB di Indonesia menggunakan regresi nonparametrik spline truncated. Metode ini digunakan karena tidak terbentuknya pola pada kurva regresi antara unmet need KB dengan faktor-faktor yang diduga memengaruhinya. Hasil penelitian menunjukkan model terbaik untuk pemodelan unmet need KB di Indonesia dihasilkan saat menggunakan tiga titik knot dengan variabel yang berpengaruh adalah persentase wanita dengan pendidikan tidak tamat SD, persentase wanita bukan peserta KB yang diskusi KB dengan PLKB, dan persentase wanita kawin yang pernah mendengar paling sedikit satu jenis atau alat cara KB modern. Koefisien determinasi yang dihasilkan model terbaik adalah sebesar 71.33 persen.
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Indonesia is one of the countries who are committed to contributing the goals and targets of Sustainable Development Goals (SDGs). One of the targets to be achieved was to ensure universal access to the services of sexual and reproductive health including family planning. In the execution of family planning program, the indicators are less successful is the number of unmet need for family planning in Indonesia is still high. Based on Demographics and Health Survey Indonesia on 2017, the number of Indonesia unmet need has not reached yet the target of 10.26%. Unmet need cause 6-16% maternal deaths caused by unsafe abortion practices. On this research will be analyzed the factors that influenced unmet need KB in Indonesia using nonparametric splines truncated regression. This method is used because there is no pattern on the regression curve between unmet need KB and the factors that are thought to affect it. The results showed the best model for unmet need for family planning in Indonesia modeling generated while using the three knots point with variables that affected is the percentage of women with education did not finish elementary school, the percentage of women not participants family planning program but discuss with PLKB about family planning program, and the percentage of women mate has heard at least one modern tool or method KB. The determination coefficient of the best model is 71.33 percent.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.536 Ser p-1 2019 |
| Uncontrolled Keywords: | GCV, Indonesia, Regresi nonparametrik Spline Truncated, Titik Knot, Unmet Need. |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Serin Fattara Diwa |
| Date Deposited: | 29 May 2023 02:54 |
| Last Modified: | 29 May 2023 02:54 |
| URI: | http://repository.its.ac.id/id/eprint/63931 |
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