A Modular Tide LevePrediction Using Combination Ofharmonic-Analysis and Nonlinear Autoregressive Exogenous (Narx) Methodology in Semarang Indonesia

Semarang is highly prone to tidal floods year-round, making tidal prediction using methods like Harmonic Analysis with Least Squares (HA-LS) crucial for disaster mitigation. However, this method is not effective enough because it has relatively high Root Mean Squared Error (RMSE) value of up to 11.4...

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Autores principales:	Elvien Hastatomo Khasby, Anistia Malinda Hidayat, Usman Efendi, Pulung Nurtantio Andono, Catur Supriyanto, Arief Soeleman, Ferry Oktarisa, Aurel Dwiyana
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	National Research and Innovation Agency 2025-05-01
Colección:	Wave
Materias:	prediction tides harmonic analysis neural network narx
Acceso en línea:	https://ejournal.brin.go.id/jurnalwave/article/view/8608
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