S MAT 1200043 Table of content
vi
DAFTAR ISI
LEMBAR PERNYATAAN......................................................................
Halaman
i
KATA PENGANTAR...............................................................................
ii
ABSTRAK.................................................................................................
iv
ABSTRACT...............................................................................................
v
DAFTAR ISI.............................................................................................
vi
DAFTAR TABEL.....................................................................................
ix
DAFTAR GAMBAR................................................................................
x
DAFTAR LAMPIRAN............................................................................
xi
BAB I PENDAHULUAN........................................................................
1
1.1 Latar Belakang.............................................................................
1
1.2 Rumusan Masalah......................................................................
1.3 Batasan Masalah..........................................................................
3
4
1.4 Tujuan Penelitian.........................................................................
1.5 Manfaat Penelitian.......................................................................
4
5
BAB II TINJAUAN PUSTAKA.............................................................
6
2.1 Kerangka Teori................................................................................
2.1.1 Gambaran Umum Wilayah Jawa Barat........................................
6
6
2.1.2 Kesehatan.................................................................................
7
2.1.3 Indikator Kesehatan.................................................................
8
2.1.3 Kerangka Penelitian.................................................................
12
2.2 Regresi linier multivariat......................................................................
2.2.1 Uji Koefisien Korelasi antar Variabel Respon.........................
12
13
2.2.2 Penaksiran Parameter..............................................................
14
2.2.3 Pengujian Signifikansi Model......................................................
15
2.2.4 Asumsi Residual......................................................................
16
2.3 Aspek Spasial Data.........................................................................
2.4 Model Goegraphically Weighted Regression....................................
19
20
Puty Andini Arumsari, 2016
APLIKASI MULTIVARIATE GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) MENGGUNAKAN
SOFTWARE MATLAB
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
vii
BAB III MULTIVARIATE GEOGRAPHICALLY WEIGHTED
REGRESSION.........................................................................
3.1 Variabel Penelitian.......................................................................
22
22
3.1.1 Variabel Respon (Y) ..............................................................
22
3.1.2 Variabel Penjelas (X) .............................................................
22
3.2 Metode Multivariate Geographically Weighted Regression
(MGWR) ..............................................................................................
24
3.2.1 Penaksiran Parameter.............................................................
25
3.2.2 Bandwidth..............................................................................
26
3.2.3 Pembobotan...........................................................................
28
3.2.4 Pengujian Hipotesis Kesesuaian Model MGWR....................
31
3.2.5 Pengujian Serentak Model MGWR.........................................
32
3.2.6 Pengujian Keberartian Parameter MGWR..............................
33
3.3 Langkah-langkah Analisis................................................................
33
BAB IV STUDI KASUS......................................................................
35
4.1
4.2
4.3
4.4
Sumber Data..............................................................................
Deskripsi Data...........................................................................
Asumsi Residual Normal Multivariat...........................................
Pembobotan Multivariate Geographically Weighted Regression
(MGWR)................. ........................................................................
4.5 Penaksiran Parameter Model Multivariate Geographically
Weighted (MGWR) dengan Pembobotan Fixed Kernel Gaussia..
4.6 Pengujian Kesesuaian Model Multivariate Geographically
Weighted Regression(MGWR)......................................................
4.7 Pengujian Serentak Parameter Model Multivariate Gographically
Weighted Regression (MGWR) .....................................................
4.8 Pengujian Signifikansi Parameter Model
Multivariate GeographicallyWeighted Regression (MGWR).....
4.9 Pemodelan Multivariate Geographically Weighted Regression
(MGWR) ............................................................................................
4.10 Peta Pengelompokan Kabupaten dan Kota ...............................
BAB V KESIMPULAN DAN SARAN................................................
35
35
36
37
38
40
41
42
44
45
47
5.1 Kesimpulan. ................................................................................ 47
5.2
Saran..........................................................................................
48
Puty Andini Arumsari, 2016
APLIKASI MULTIVARIATE GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) MENGGUNAKAN
SOFTWARE MATLAB
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
viii
DAFTAR PUSAKA...............................................................................
49
LAMPIRAN...........................................................................................
51
DAFTAR RIWAYAT HIDUP.............................................................
64
Puty Andini Arumsari, 2016
APLIKASI MULTIVARIATE GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) MENGGUNAKAN
SOFTWARE MATLAB
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
DAFTAR ISI
LEMBAR PERNYATAAN......................................................................
Halaman
i
KATA PENGANTAR...............................................................................
ii
ABSTRAK.................................................................................................
iv
ABSTRACT...............................................................................................
v
DAFTAR ISI.............................................................................................
vi
DAFTAR TABEL.....................................................................................
ix
DAFTAR GAMBAR................................................................................
x
DAFTAR LAMPIRAN............................................................................
xi
BAB I PENDAHULUAN........................................................................
1
1.1 Latar Belakang.............................................................................
1
1.2 Rumusan Masalah......................................................................
1.3 Batasan Masalah..........................................................................
3
4
1.4 Tujuan Penelitian.........................................................................
1.5 Manfaat Penelitian.......................................................................
4
5
BAB II TINJAUAN PUSTAKA.............................................................
6
2.1 Kerangka Teori................................................................................
2.1.1 Gambaran Umum Wilayah Jawa Barat........................................
6
6
2.1.2 Kesehatan.................................................................................
7
2.1.3 Indikator Kesehatan.................................................................
8
2.1.3 Kerangka Penelitian.................................................................
12
2.2 Regresi linier multivariat......................................................................
2.2.1 Uji Koefisien Korelasi antar Variabel Respon.........................
12
13
2.2.2 Penaksiran Parameter..............................................................
14
2.2.3 Pengujian Signifikansi Model......................................................
15
2.2.4 Asumsi Residual......................................................................
16
2.3 Aspek Spasial Data.........................................................................
2.4 Model Goegraphically Weighted Regression....................................
19
20
Puty Andini Arumsari, 2016
APLIKASI MULTIVARIATE GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) MENGGUNAKAN
SOFTWARE MATLAB
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
vii
BAB III MULTIVARIATE GEOGRAPHICALLY WEIGHTED
REGRESSION.........................................................................
3.1 Variabel Penelitian.......................................................................
22
22
3.1.1 Variabel Respon (Y) ..............................................................
22
3.1.2 Variabel Penjelas (X) .............................................................
22
3.2 Metode Multivariate Geographically Weighted Regression
(MGWR) ..............................................................................................
24
3.2.1 Penaksiran Parameter.............................................................
25
3.2.2 Bandwidth..............................................................................
26
3.2.3 Pembobotan...........................................................................
28
3.2.4 Pengujian Hipotesis Kesesuaian Model MGWR....................
31
3.2.5 Pengujian Serentak Model MGWR.........................................
32
3.2.6 Pengujian Keberartian Parameter MGWR..............................
33
3.3 Langkah-langkah Analisis................................................................
33
BAB IV STUDI KASUS......................................................................
35
4.1
4.2
4.3
4.4
Sumber Data..............................................................................
Deskripsi Data...........................................................................
Asumsi Residual Normal Multivariat...........................................
Pembobotan Multivariate Geographically Weighted Regression
(MGWR)................. ........................................................................
4.5 Penaksiran Parameter Model Multivariate Geographically
Weighted (MGWR) dengan Pembobotan Fixed Kernel Gaussia..
4.6 Pengujian Kesesuaian Model Multivariate Geographically
Weighted Regression(MGWR)......................................................
4.7 Pengujian Serentak Parameter Model Multivariate Gographically
Weighted Regression (MGWR) .....................................................
4.8 Pengujian Signifikansi Parameter Model
Multivariate GeographicallyWeighted Regression (MGWR).....
4.9 Pemodelan Multivariate Geographically Weighted Regression
(MGWR) ............................................................................................
4.10 Peta Pengelompokan Kabupaten dan Kota ...............................
BAB V KESIMPULAN DAN SARAN................................................
35
35
36
37
38
40
41
42
44
45
47
5.1 Kesimpulan. ................................................................................ 47
5.2
Saran..........................................................................................
48
Puty Andini Arumsari, 2016
APLIKASI MULTIVARIATE GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) MENGGUNAKAN
SOFTWARE MATLAB
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
viii
DAFTAR PUSAKA...............................................................................
49
LAMPIRAN...........................................................................................
51
DAFTAR RIWAYAT HIDUP.............................................................
64
Puty Andini Arumsari, 2016
APLIKASI MULTIVARIATE GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) MENGGUNAKAN
SOFTWARE MATLAB
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu