CD Tesis

Model Hidrologi Runtun Waktu Untuk Peramalan Debit Sungai Menggunakan Metode Gabungan Transformasi Wavelet - Adaptive Neuro Fuzzy Inference System

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The main purpose of this research is to approach using Wavelet Transformation-ANFIS to find out the important parameters of the accuracy of the stream flow forecasting result, to test the accuracy of the forecasting result of the stream flow and to set the configuration of the stream flow forecasting model in Siak Watershed. The input data of this model is the discharge data from the AWLR Pantai Cermin station.
The main results of this study obtained a model that can be used to predict stream flow in the case study of Siak Watershed upstream. Important parameters that greatly affect the accuracy of the results of the stream flow forecasting in this study are range of influence and epoch. The model produces predictions with a very strong correlation (R) value for predicted 1 to 4 days and a strong correlation (R) value for the next 5 to 7 day predictions. Model performance is very good for forecasting 1 day ahead and will continue to decline for forecasting the next 2 days and the next days. The best forecasting of strea flow model in Siak Watershed is the Wavelet-ANFIS model level 1 for forecasting one day ahead (Qt + 1) with ROI 0,097, correlation (R) 0,948 (very strong) and epoch number 7000 iteration.

Key words : stream flow, range of influence, epoch, prediksi, Wavelet Transformation-ANFIS

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

10 12.217(0004)

Penerbit

Pekanbaru : Universitas Riau – PASCASARJANA – TEKNIK SIPIL., 2017

Deskripsi Fisik

xviii, 39 hlm.;ill.;29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

10 12.217(0004)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

PASCASARJANA (MAGISTER) TEKNIK SIPIL

Info Detail Spesifik

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Pernyataan Tanggungjawab

Hanum

Versi lain/terkait

Lampiran Berkas

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