CD Skripsi

Pengembangan Model Prediksi Iklim Di Asean Berbasis Artificial Neural Network (Ann) Dengan Algoritma Backpropagation

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ABSTRACT
Climate change is a natural phenomenon caused by global warming. The Study on The Indicators of The Sustainable Development Goals (SDGs) on goal 13 has discussed climate change prevention by taking immediate action to combat climate change and its impacts. The impact of climate change is that it can cause natural disasters such as floods, thus counter measures are needed to overcome increasing climate change by predicting climate data. Based on that, research was carried out to predict climate data which is thought to affect climate change in ASEAN countries using the Artificial Neural Network method with the backpropagation algorithm. The variables used include one dependent variable, namely total greenhouse gas emissions and 38 independent variables. This research will discuss mean imputation, data splitting, data normalization, implementation of grid search, implementation of Artificial Neural Network backpropagation algorithm, evaluation of model performance to prediction of total greenhouse gas emissions. The research results show that the MAE and MSE values in the data testing were 0,0287 and 0,0017, respectively, so that it can be said that the model is good.
Keywords: Artificial Neural Network, Backpropagation, Climate Change,
Greenhouse Gas Effect, Mean Imputation

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803110299

Penerbit

Pekanbaru : Universitas Riau – FMIPA – Statistika., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803110299

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

TIAR

Versi lain/terkait

Lampiran Berkas

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