Comparison  Between  SARIMA and  DeepAR  with  Optuna Hyperparameter Optimization for Estimating Indonesian Rice Production Data.

Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/153967

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Silvianti, Pika	-
dc.contributor.advisor	Fitrianto, Anwar	-
dc.contributor.author	Zahid, Muhammad Farhan	-
dc.date.accessioned	2024-07-17T06:11:45Z	-
dc.date.available	2024-07-17T06:11:45Z	-
dc.date.issued	2024	-
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/153967	-
dc.description.abstract	A forecast predicts future events that have significantly impacted our society, especially when facing time-sensitive issues like food availability. Food was critical to ensuring people	-
dc.description.sponsorship	null	-
dc.language.iso	id	-
dc.publisher	IPB University	id
dc.title	Comparison Between SARIMA and DeepAR with Optuna Hyperparameter Optimization for Estimating Indonesian Rice Production Data.	id
dc.title.alternative	null	-
dc.type	Skripsi	-
dc.subject.keyword	Comparison	id
dc.subject.keyword	DeepAR	id
dc.subject.keyword	Optuna	id
dc.subject.keyword	Rice Production	id
dc.subject.keyword	SARIMA	id
Appears in Collections:	UT - Statistics and Data Sciences

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