Enhancing Weather Forecasting in Bandar Lampung: A Hybrid SARIMA-LSTM Approach

Indonesia’s tropical climate, marked by rainy and dry seasons, is increasingly affected by extreme weather events driven by climate change. Rising temperatures, shifting rainfall patterns, and sea-level rise have intensified health risks such as malaria, dengue hemorrhagic fever (DHF), and gastroint...

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Principais autores:	Dian Kurniasari, Anindya Dafa Salsabila, Mustofa Usman, Warsono Warsono
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Universitas Muhammadiyah Mataram 2025-01-01
סדרה:	JTAM (Jurnal Teori dan Aplikasi Matematika)
נושאים:	deep learning forecasting hybrid sarima-lstm lstm sarima weather.
גישה מקוונת:	http://journal.ummat.ac.id/index.php/jtam/article/view/27188
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