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Found 1 from your keywords: author=Rahmannisa, Amanda

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MACHINE LEARNING UNTUK PREDIKSI TEMPORAL PERUBAHAN IKLIM: STUDI KASUS DATA ST…

This study aims to predict climate parameters in Palembang City using a Multivariate Long Short-Term Memory approach based on climatological data from 1981 to 2024. The model was developed to predict maximum temperature, average relative humidity, average wind speed, maximum wind direction, duration of sunshine, and rainfall. The evaluation results show that the Long Short-Term Memory model is …

Edition: -
ISBN/ISSN: -
Collation: xvii, 103 hlm.; ilus.; 29 cm
Series Title: -
Call Number: T1912382025

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