peramalan data time series non stasioner melalui pemodelan multiscale autoregressive mar menggunakan...
TRANSCRIPT
-
5/25/2018 Peramalan Data Time Series Non Stasioner Melalui Pemodelan Multiscale Autoregressive Mar Menggunakan Filter Wavelet Haar Daubechies
1/3
vii
DAFTAR ISI
Halaman
HALAMAN JUDUL ................................................................ i
HALAMAN PENGESAHAN ................................................. ii
HALAMAN PERNYATAAN ................................................. iii
ABSTRAK ................................................................................ iv
ABSTRACT ............................................................................. v
KATA PENGANTAR ............................................................. vi
DAFTAR ISI ............................................................................ vii
DAFTAR GAMBAR ............................................................... x
DAFTAR TABEL .................................................................... xii
DAFTAR LAMPIRAN ........................................................... xiv
BAB I PENDAHULUAN
1.1 Latar Belakang .................................................................... 1
1.2 Rumusan Masalah .............................................................. 2
1.3 Batasan Masalah ................................................................. 2
1.4 Tujuan ................................................................................. 2
1.5 Manfaat ............................................................................... 2
BAB II TINJAUAN PUSTAKA
2.1 Deret Waktu ........................................................................ 3
2.1.1 Pengertian Deret Waktu ............................................ 3
2.1.2 Pengujian Stasioneritas Deret Waktu ........................ 3
2.2 Metode Analisis Data Deret Waktu Non Stasioner ............ 6
2.2.1 Metode Box-Jenkins ................................................. 6
2.2.2 Transformasi Wavelet ............................................... 7
2.3 Pemodelan Deret Waktu dengan PendekatanWavelet ............................................................................... 9
2.3.1 Pengertian Wavelet ................................................... 9
2.3.2 Keluarga Wavelet ...................................................... 10
2.3.2.1 Haar Wavelet .................................................. 11
2.3.2.2 Daubechies Wavelet ........................................ 12
2.3.2.3 Coifman Wavelet (Coiflet) .............................. 13
2.3.3 Transformasi Wavelet ................................................ 14
2.3.3.1Discrete Wavelet Transform ...........................
14
-
5/25/2018 Peramalan Data Time Series Non Stasioner Melalui Pemodelan Multiscale Autoregressive Mar Menggunakan Filter Wavelet Haar Daubechies
2/3
viii
2.3.3.2 Maximal Overlap Discrete Wavelet Transform
(MODWT) ........................................................ 15
2.4. PemodelanMultiscale Autoregressive(MAR) ................... 18
2.4.1 MODWT pada Pemodelan MAR .............................. 18
2.4.2 Metode Stepwisedalam Penentuan KoefisienModel MAR .............................................................. 20
2.4.3 Pemeriksaan Asumsi Residual Model MAR .............. 20
2.4.3.1 Asumsi Normalitas .......................................... 21
2.4.3.2 Asumsi White-Noise ........................................ 21
2.4.4 Pemilihan Model Peramalan Wavelet ........................ 22
2.4.5 Pengujian Kelayakan Model....................................... 23
BAB III METODE PENELITIAN
3.1 Sumber Data ....................................................................... 25
3.2 Metode Analisis ................................................................... 25
3.3 Software............................................................................... 28
3.4 Diagram Alir ........................................................................ 29
BAB IV HASIL DAN PEMBAHASAN
4.1 Pengujian pada Data Bonds ................................................ 31
4.1.1 Pengujian Stasioneritas .............................................. 31
4.1.2 Pemodelan ARIMA ................................................... 324.1.3 PemodelanMultiscale Autoregressive(MAR) .......... 33
4.1.4 Membandingkan Model Peramalan Wavelet dan
ARIMA ..................................................................... 42
4.2 Pengujian pada Data Simulasi ............................................. 44
4.2.1 Pengujian Stasioneritas .............................................. 44
4.2.2 Pemodelan ARIMA ................................................... 45
4.2.3 PemodelanMultiscale Autoregressive(MAR) .......... 46
4.2.4 Membandingkan Model Peramalan Wavelet dan ARIMA ..................................................................... 51
4.3 Pengujian pada Data Tuban ................................................ 52
4.3.1 Pengujian Stasioneritas .............................................. 52
4.3.2 Pemodelan ARIMA ................................................... 54
4.3.3 PemodelanMultiscale Autoregressive(MAR) .......... 55
4.3.4 Membandingkan Model Peramalan Wavelet dan
ARIMA ..................................................................... 60
4.4 Pembahasan Hasil Pengujian ............................................... 61
-
5/25/2018 Peramalan Data Time Series Non Stasioner Melalui Pemodelan Multiscale Autoregressive Mar Menggunakan Filter Wavelet Haar Daubechies
3/3
ix
4.5 Peramalan pada Data Real ................................................... 62
BAB V KESIMPULAN DAN SARAN
5.1. Kesimpulan ......................................................................... 67
5.2. Saran ................................................................................... 67
DAFTAR PUSTAKA .............................................................. 69
LAMPIRAN ............................................................................. 71