Publication:
Descriptive modeling for methane emission from three major livestock in Sarawak

dc.contributor.authorKiat P.E.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorShamsuddin S.M.en_US
dc.contributor.authorid56181299200en_US
dc.contributor.authorid55636320055en_US
dc.contributor.authorid35619439200en_US
dc.date.accessioned2023-05-29T06:55:56Z
dc.date.available2023-05-29T06:55:56Z
dc.date.issued2018
dc.description.abstractRising concerns of methane emission, especially from natural enteric fermentation process of livestock, has caused the implementation of 2006 Intergovernmental Panel on Climate Change (IPCC) Guidelines Tier 1 methodology, which is the simplest method in quantifying greenhouse gases emissions, for quantification of methane emission from three major livestock in Sarawak. Lack of specific country-specific emission factor has led to prediction of future emission. Fitness functions are the inputs used in coding for producing forecasted emission, and can be obtained from the Statistical Package for the Social Sciences (SPSS) software. SPSS is then employed to access the correlation between amount of livestock and methane emission generated. Linear regression model is applied in SPSS software which generates three important tables namely Model Summary Table, Analysis of Variance (ANOVA) Table and Coefficients Table for result analysis. Fitness functions produced from the Coefficients table generated by SPSS illustrated strong correlation between livestock quantity and methane emitted. � 2014-2018. IJASCA.en_US
dc.description.natureFinalen_US
dc.identifier.epage114
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85058482934
dc.identifier.spage105
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85058482934&partnerID=40&md5=9ea77b1d0fda75934315689ed51378eb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24135
dc.identifier.volume10
dc.publisherInternational Center for Scientific Research and Studiesen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Advances in Soft Computing and its Applications
dc.titleDescriptive modeling for methane emission from three major livestock in Sarawaken_US
dc.typeArticleen_US
dspace.entity.typePublication
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