peramalan data time series non stasioner melalui pemodelan multiscale autoregressive mar menggunakan...

Upload: azwar-cx

Post on 15-Oct-2015

73 views

Category:

Documents


3 download

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