Pemodelan Indeks Pembangunan Gender Dengan Pendekatan Regresi Nonparametrik Spline Di Indonesia

Fajriyyah, Nurul (2015) Pemodelan Indeks Pembangunan Gender Dengan Pendekatan Regresi Nonparametrik Spline Di Indonesia. Undergraduate thesis, Institut Technology Sepuluh Nopember.

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Abstract

Indeks Pembangunan Gender (IPG) merupakan indeks pencapaian kemampuan dasar pembangunan manusia yang sama seperti Indeks Pembangunan Manusia (IPM) dengan memperhatikan ketimpangan gender. Indonesia memiliki IPG yang rendah jika dibandingkan dengan negara lain seperti Malaysia dan Australia. Dalam hal pembangunan manusia sering dibahas mengenai perbedaan gender, dimana berfokus pada bagaimana mencapai kesetaraan gender dengan meningkatkan kualitas sumber daya manusia tanpa membedakan laki-laki dan perempuan. Hal ini terkait dengan tujuan dari MDGs yaitu mendorong kesetaraan gender dan pemberdayaan perempuan. Untuk mengatasi permasalahan tersebut perlu diselidiki faktor-faktor yang diduga berpengaruh terhadap IPG di Indonesia menggunakan regresi nonparametrik spline. Pendekatan regresi nonparametrik spline dapat digunakan untuk memodelkan IPG di Indonesia karena pola data pada penelitian ini tidak membentuk suatu pola tertentu. Berdasarkan penelitian ini, model regresi nonparametrik spline terbaik adalah spline yang memiliki nilai GCV minimum yaitu kombinasi knot (1,2,1,3,3,3,2,3) dengan semua variabel signifikan yaitu Angka Partisipasi Sekolah (APS) SD/Sederajat penduduk perempuan (X1), APS SMP/Sederajat penduduk perempuan (X2), APS SMA/Sederajat penduduk perempuan (X3), Angka Buta Huruf penduduk perempuan (X4), Tingkat Partisipasi Angkatan Kerja penduduk perempuan (X5), rasio jenis kelamin (X6), rasio jenis kelamin saat lahir (X7), dan persentase penduduk perempuan mempunyai keluhan kesehatan (X8). Regresi spline linier menghasilkan R2 sebesar 99,81%. =================================================================================================== Gender Development Index (GDI) is an index of human development achievement of the basic capabilities the same as the Human Development Index (HDI) with attention to gender inequality. . Indonesia has IPG low when compared to other countries such as Malaysia and Australia. In terms of human development is often discussed regarding gender differences, which focuses on how to achieve gender equality by improving the quality of human resources regardless of male and female. This is related to the purpose of the MDGs is to encourage gender equality and women's empowerment. To overcome these problems need to be investigated factors supposed to influence the GDI in Indonesia using nonparametric regression spline. Approaches using Spline nonparametric regression can be used to modeling of GDI in Indonesia because of the pattern of the data in this study do not form a particular pattern. Based on this research, the best spline nonparametric regression model is spline which has a minimum GCV value that is a combination knots points (1,2,1,3,3,3,2,3) with all significant variables that the School Participation Rate (SPR) Elementary School/equal number of the female population (X1), SPR Junior High School/equal number of the female population (X2), SPR Senior High School/equal number of the female population (X3), Figures Illiterate female population (X4), labor force participation rate of females (X5), sex ratio (X6), the ratio of the type sex at birth (X7), and the percentage of the female population have health complaints (X8). Spline linear regression produces R2 99,81%.

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.536 Faj p
Uncontrolled Keywords: GCV, IPG, Regresi Nonparametrik, Spline, Titik Knot
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 21 Nov 2018 06:56
Last Modified: 21 Nov 2018 06:56
URI: https://repository.its.ac.id/id/eprint/59979

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