Estimasi Emisi Metana pada Lingkungan Rumen in Vitro menggunakan Artificial Neural Network

dc.contributor.advisor	Kustiyo, Aziz
dc.contributor.advisor	Jayanegara, Anuraga
dc.contributor.author	Hasyim, Ridho Fahrorozi
dc.date.accessioned	2015-08-20T01:44:39Z
dc.date.available	2015-08-20T01:44:39Z
dc.date.issued	2015
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/76111
dc.description.abstract	The production of methane from ruminants contributes significantly for the total methane emissions in the atmosphere. Methane is one of the greenhouse gases that causes global warming. Its ability to retain heat is of 20 times bigger than that of carbon dioxide. In this research, Artificial Neural Networks (ANNs) are used to estimate the methane emissions from volatile fatty acid (vfa) composition in the rumen in vitro; acetate (C2), propionate (C3), butyrate (C4), iso-C4, (valerate) C5, and iso-C5. In this research, after careful tuning, we obtained the best ANNs with the NMSE of 0.0182. This suggests that ANN outperform the stoichiometric equation in ability to estimate methane emissions in the rumen	en
dc.language.iso	id
dc.subject.ddc	Network model	en
dc.subject.ddc	Computer Science	en
dc.title	Estimasi Emisi Metana pada Lingkungan Rumen in Vitro menggunakan Artificial Neural Network	en
dc.subject.keyword	Bogor Agricultural University (IPB)	en
dc.subject.keyword	stoichiometric	en
dc.subject.keyword	ruminant	en
dc.subject.keyword	methane	en
dc.subject.keyword	forage	en
dc.subject.keyword	Artificial Neural Network	en