CD Skripsi

Penerapan metode long short term memory untuk prediksi temperatur di kota pekanbaru

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The increase in temperature has reached a critical level, posing significant threats to human life and the environment. This issue serves as a serious warning, highlighting the urgency of raising awareness about the risks of global warming and climate change. One mitigation effort that can be implemented is the accurate prediction of air temperature to support decision-making and climate adaptation planning. This study aims to predict daily air temperature in Pekanbaru City using the Long Short-Term Memory (LSTM) method, a machine learning technique based on the Recurrent Neural Network (RNN) architecture that is effective for time series data.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2103112707

Penerbit

Pekanbaru : Universitas Riau FMIPA Statistika., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2103112707

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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