Model Stokastik Curah Hujan Harian dari beberapa Stasiun Curah Hujan di Way Jepara

Mirnanda Cambodia, 1115011065 (2015) Model Stokastik Curah Hujan Harian dari beberapa Stasiun Curah Hujan di Way Jepara. Fakultas Teknik, Universitas Lampung.

[img]
Preview
Text
Abstrak.pdf

Download (8Kb) | Preview
[img]
Preview
Text
Abstract.pdf

Download (8Kb) | Preview
[img]
Preview
Text
Cover Dalam.pdf

Download (9Kb) | Preview
[img]
Preview
Text
Halaman Persetujuan.pdf

Download (936Kb) | Preview
[img]
Preview
Text
Halaman Pengesahan.pdf

Download (913Kb) | Preview
[img]
Preview
Text
Pernyataan.pdf

Download (524Kb) | Preview
[img]
Preview
Text
Riwayat Hidup.pdf

Download (106Kb) | Preview
[img]
Preview
Text
Persembahan.pdf

Download (40Kb) | Preview
[img]
Preview
Text
Moto.pdf

Download (136Kb) | Preview
[img]
Preview
Text
Sanwacana.pdf

Download (52Kb) | Preview
[img]
Preview
Text
Daftar Isi.pdf

Download (152Kb) | Preview
[img]
Preview
Text
Daftar Gambar.pdf

Download (187Kb) | Preview
[img]
Preview
Text
BAB I.pdf

Download (94Kb) | Preview
[img]
Preview
Text
BAB II.pdf

Download (546Kb) | Preview
[img]
Preview
Text
BAB III.pdf

Download (642Kb) | Preview
[img] Text
BAB IV.pdf
Restricted to Registered users only

Download (488Kb)
[img]
Preview
Text
BAB V.pdf

Download (11Kb) | Preview
[img]
Preview
Text
Daftar Pustaka.pdf

Download (73Kb) | Preview

Abstrak

ABSTRAK MODEL STOKASTIK CURAH HUJAN HARIAN DARI BEBERAPA STASIUN CURAH HUJAN DI WAY JEPARA Oleh MIRNANDA CAMBODIA Penelitian ini dilakukan untuk mempelajari dan mengetahui karakteristik model periodic dan stokastik curah hujan harian di wilayah Way Jepara. Studi ini menggunakan data sekunder, yakni data curah hujan harian dengan panjang data 13 tahun (1997-2013) dari stasiun Braja Arjosari, Braja Indah, dan Jepara Lama. Dalam penelitian ini, data curah hujan harian diolah kedalam bentuk time series sebelum kemudian diubah menjadi spectrum curah hujan menggunakan program FFT (Fast Fourier Transform). Satu tahun dari keperiodikan data curah hujan harian, hanya digunakan 512 data curah hujan yang bersifat periodik. Spektrum curah hujan menghasilkan data seri stokastik curah hujan yang diasumsikan sebagai selisih (kesalahan) antara data curah hujan sebenarnya dengan model periodik curah hujan. Berdasarkan data seri stokastik, komponen stokastik dihitung menggunakan pendekatan autoregresif model. Model stokastik dihasilkan dengan menggunakan metode kuadrat terkecil (least square methode) atau autoregresif model orde tiga. Validasi seri stokastik antara data terukur dan model dilakukan dengan menghitung koefisien korelasinya. Dari hasil penelitian, didapat nilai koefisien korelasi rata-rata tiga stasiun curah hujan harian tersebut. Nilai koefisien korelasi rata-rata (R) antara data dengan model periodik curah hujan adalah sebesar 0,97305, antara seri data stokastik dan model stokastik adalah sebesar 0,99150, dan antara data dan model periodik stokastik adalah sebesar 0,99963. Dari hasil yang ada, dapat disimpulkan bahwa model periodik stokastik dari curah hujan wilayah Way Jepara memberikan hasil pendekatan yang sangat akurat dan signifikan. Kata kunci : curah hujan harian, autoregresif model, stokastik ABSTRAC STOCHASTIC MODEL OF DAILY RAINFALL SOME OF THE RAINFALL STATION THE WAY JEPARA By MIRNANDA CAMBODIA This research was conducted to study and know the characteristics of periodic and stochastic models of daily rainfall in the Way Jepara. This study used secondary data, namely daily rainfall data with a data length of 13 years (1997-2013) from the station Braja Arjosari, Braja Indah, and Jepara Lama. In this study , daily rainfall data is processed into the form of time series before it was transformed into the spectrum of rainfall using the program FFT (Fast Fourier Transform). One year of daily rainfall data periodicity, only used 512 rainfall data are periodic. Spectrum rainfall produce data series stochastic rainfall is assumed as the difference (error) between the actual rainfall data with periodic rainfall models. Based on data from the series of stochastic, the stochastic component is calculated using the approach of autoregressive models. Stochastic model generated using the least squares method (least square method) or autoregressive model of order three. Validation of stochastic series between the measured data and the model is done by calculating the correlation coefficient. From the research, the correlation coefficient obtained an average of three stations of the daily rainfall. Value of the average correlation coefficient ( R ) between the data with a model periodic rainfall amounted to 0.97305, the data series is stochastic and stochastic models of 0.99150, and between data and periodic stochastic models are at 0.99963. From the results, it can be concluded that the periodic stochastic models of rainfall Way Jepara region gives very accurate results and the approach significantly. Keywords : daily rainfall, autoregressive models, stochastic

Tipe Karya Ilmiah: Skripsi
Subyek: A General Works = Karya Karya Umum
Program Studi: Fakultas Teknik > Prodi Sipil
Depositing User: 9698742 . Digilib
Date Deposited: 11 Feb 2015 03:33
Last Modified: 11 Feb 2015 03:33
URI: http://digilib.unila.ac.id/id/eprint/7014

Actions (login required)

View Item View Item