MODEL PERIODIK DATA CURAH HUJAN HARIAN DARI STASIUN METRO DAN STASIUN DAMRAMAN (LAMPUNG TIMUR)

FAUZAN NOER, 0745011032 (2015) MODEL PERIODIK DATA CURAH HUJAN HARIAN DARI STASIUN METRO DAN STASIUN DAMRAMAN (LAMPUNG TIMUR). Fakultas Teknik, Universitas Lampung.

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1. ABSTRAK.pdf

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2. COVER LUAR.pdf

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4. LEMBAR PERSETUJUAN.pdf

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10.SANWACANA RESMI.pdf

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12. DAFTAR TABEL.pdf

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13. DAFTAR LAMPIRAN.pdf

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DAFTAR PUSTAKA.pdf

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Abstrak

ABSTRAK Tujuan penelitian ini dilakukan untuk mempelajari karakteristik curah hujan harian dan membuat model sintetik curah hujan harian. Data yang digunakan data curah hujan harian dengan panjang data tahun 1974-2005 di 2 stasiun yaitu stasiun Metro dan stasiun Damraman (Lampung Timur). Penelitian ini menggunakan data curah hujan harian sekunder diwilayah Metro dan Lampung Timur, Penelitian ini menggubah data hujan seri waktu menjadi spektrum curah hujan menggunakan program FFT (Fast Fourier Transfrom) dan kuadrat terkecil. Kepriodikan dari data curah hujan harian dipersentasikan dengan menggunakan 512 dan 256 data curah hujan yang bersifat periodik. Berdasarkan hasil penelitian ini dapat disimpulkan curah hujan harian sintetik seri waktu dapat diperoleh sangat signifikan mendekati curah hujan terukur. Dengan nilai koefisien korelasi rata-rata (R) model periodik dari 2 stasiun adalah 0,9740 stasiun Metro dan 0,9746 stasiun Damraman, dengan panjang data 512 hari. Sedangkan panjang data 256 hari adalah 0,9662 stasiun Metro dan 0,9599 stasiun Damraman. Kata kunci: curah hujan harian, autoregresif model, komponen periodik. ABSTRACT The purpose of this research was conducted to understand the characteristics of daily rainfall and create a synthetic model of daily rainfall . The data used daily rainfall data with data length in the year of 1974-2005 in 2 station which is Metro stations and Damraman station ( East Lampung ) . This study uses secondary daily rainfall data in the region of Metro and East Lampung , this study was composed rainfall data into a spectrum of time series of rainfall using the program FFT ( Fast Fourier Transform ) and least squares . Periodicity of daily rainfall data were presented by using 512 and 256 rainfall data that is periodic . Based on these results we can conclude synthetic daily rainfall time series can be obtained very significant approach measurable rainfall . With the value of the average correlation coefficient ( R ) periodic models of two stations are 0.9740 Metro station and 0.9746 Damraman station , with a data length of 512 days . While the data length is 256 days are 0.9662 Metro station and 0.9599 Damraman station . Keyword: daily rainfall, autoregresif model, periodic component

Tipe Karya Ilmiah: Skripsi
Subyek: Teknologi > Mesin (General). Mesin Sipil (General)
Teknologi > Mesin (General). Mesin Sipil (General)
Mesin (General). Mesin Sipil (General)
Program Studi: Fakultas Teknik > Prodi Sipil
Depositing User: 7717319 . Digilib
Date Deposited: 13 Apr 2015 07:01
Last Modified: 13 Apr 2015 07:01
URI: http://digilib.unila.ac.id/id/eprint/8224

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