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COMPARING FORECASTS OF AGRICULTURAL SECTOR EXPORT VALUES USING SARIMA AND LONG SHORT-TERM MEMORY MODELS

Indonesia's agricultural sector plays a crucial role in the national economy, with significant export potential and supporting the livelihoods of the majority of the population. As part of the government's vision to make Indonesia the world's food barn by 2045, increasing the volume and value of agr...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Aleytha Ilahnugrah Kurnadipare, Sri Amaliya, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah
Format: Artigo
Sprache:Inglês
Veröffentlicht: Universitas Pattimura 2025-01-01
Schriftenreihe:Barekeng
Schlagworte:
comparation
forecasting
neural network
root mean squared error
time series analysis
Online-Zugang:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13629
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