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HAZARD LEVEL OF VEHICLE SMOKE BY FUZZY MULTIPLE ATTRIBUTE DECISION MAKING WITH SIMPLE ADDITIVE WEIGHTING METHOD
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| Author:
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SATRIA ABADI,, SATRIA ABADI, MIFTACHUL HUDA, KAMARUL SHUKRI MAT TEH, ZULKIFLEE HARON, MOHD. NASIR RIPIN, AMINUDIN HEHSAN, SHAMSUL SARIP, MUHAMAD RAFIQI HEHSAN, MUSFIKA AMRULLAH, ANDINO MASELENO
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| Abstract:
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Clean air is a necessity for human. Human needs clean and healthy air without being contaminated by vehicle smoke
that can endanger human health. vehicle smoke contains harmful substances for human including carbon dioxide
(CO2), carbon monoxide (CO), nitrogen oxides (NOx) and lead metal (Pb). This can make air quality worse and can
cause human be suffered of diseases including ARI (Acute Respiratory Infection), shortness of breath, sore eyes,
coughing, brain damage and mental disability in children. Decision Support System (DSS) is a system to support
Managerial decision makers in semi-structured decision situations and in this research author made a study of the
DSS model to determine the level of danger of vehicle smoke, this study uses the Fuzzy Multiple Attribute Decision
Making method ( FMADM) where this method is a way to find optimal alternative from a number of alternatives with
certain criteria, from very low things that was from 0-0.25, medium from 0.3-0.50, to the most dangerous thing that
was from 0.8-1. Hopefully with the existence of this research later it can be useful for the community, especially for
public health.
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| Keyword:
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Decision Support System, FMADM, Vehicle Smoke
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| EOI:
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| DOI:
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https://doi.org/10.31838/ijpr/2018.10.04.009
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| Download:
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Request For Article
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