Computer File

Cikapundung streamflow forecast modeling using support vector machine

As regard to its key role in provision of raw water for Bandung City, Cikapundug River has been suffering from issues such as water pollution, water conflict, decline of stream flow, et cetera. Facts showed that rapid urbanization and land use change have critical impacts on water availability within the basin. In order to be able to estimate the amount of water available in the Cikapundung River, this study make use of SVM (Support Vector Machine), to forecast the stream flow. The forecasting process is
based on 4 scenarios with giving different length of data, starting from 3 years up to 6 years of monthly stream flow data. By considering 2 independent variables, i.e. rainfall and evapotranspiration, the analysis is done to identify the influence of data length on forecasted flow and evaluate its accuracy compared to observed flow. The results show that 4 years of data length give least deviation, with 20.94% error in total, and 4 years data could represent the better model in Upstream Cikapundung River.

Ketersediaan

Informasi Detail

Judul Seri

No. Panggil

-

Penerbit

Yogyakarta : AtmaJaya Yogyakarta University Publisher., 2015

Deskripsi Fisik

p. 50-55

Bahasa

English

ISBN/ISSN

978-602-8817-68-4

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

SVM
CIKAPUNDUNG RIVER BASIN
MONTHLY STREAM FLOW

Info Detail Spesifik

Makalah dipresentasikan pada The First International Conference on Civil Engineering and Infrastructure ICCEI 2015. Komisariat Daerah IV Badan Musyawarah Pendidikan Tinggi Teknik Sipil Seluruh Indonesia, Institute of Lowland Marine and Research Saga University, Satelite Hassanudin University. Makassar, 7-8 Oktober 2015.

Pernyataan Tanggungjawab

Stephen Sanjaya

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