CD Skripsi

Pemodelan Curah Hujan Dengan Teknik Statistical Downscaling Berbasis Multilayer Perceptron (Mlp) Pada Jaringan Syaraf Tiruan (Jst) Di Kabupaten Pelalawan

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Information on rainfall is needed for Indonesia, which is an agricultural country. Therefore, an accurate rainfall forecasting model is needed by utilizing information from the global circulation model (GCM) output. However, the information provided by GCMs is still global in scale and has low resolution for local scale forecasts, it can be utilized using statistical downscaling techniques. This study aims to predict rainfall levels in Pelalawan Regency using global scale precipitation dta with a multilayer perceptron model. The observational data used is rainfall data located at the Pelalawan Estate location of PT Riau Andalan Pupl and Paper in 2016-2023 as a response variable. This study illustrates the application of large-scale multilayer perceptron predictor variables derived from GCM CMIP6 with CMCC-CM2-SR5 model. The predictor variables will perform dimensional reduction by principal component analysis.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003113640

Penerbit

Pekanbaru : Universitas Riau FMIPA Statistika., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003113640

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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