Abstract

By the end of 2012 the population of motorcycle reached 77.7 million units with their average composition on the road reached 82%. The number of motorcycles produce CO2 emissions which have a negative impact on global warming. Global warming occurs because the greenhouse effect of CO2 in the atmosphere absorb heat energy and obstructed the heat from the atmosphere to the higher surface.The data collected in this research is the data of motorcycles fuel consumption. The method of data processing by converting the fuel consumption data to CO2 emissions using the equation of the Clean Development Mechanism (CDM) AMS-III Methology. The purpose of this research is to create models of CO2 emissions on a motorcycle against several influential independent variables such as manufacture, service life, engine displacement (cc) and travel speed. Method analysis using correlation and regression analysis.Based on the regression analysis, the best combination that produces the lowest value of CO2 is a motorcycle with a combination of manufacture number 2, 5 years service life, engine displacement of 111-149 cc and travel speed of 60 km/h. Whereas from the the correlations analysis obtained the motorcycle of manufacture number 2 able to decrease up to 15% CO2 and motorcycles with engine displacement of 111-149 cc is able to reduce CO2 emission from 17% to 43%. While the service life of one year to six years resulting CO2 emissions which relatively similar with only difference of 15%. Furthermore, the travel speed of 60 km/h able to reduce CO2 emissions by up to 62%.

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