| Summary: | As is known along with the current world oil prices have soared plus the cost
of production is also increased so that the government had difficulty in bearing the
burden of fuel subsidies. Fuel subsidies provided by government is less on target,
because of the statistical data more subsidies enjoyed by private car. The government
plans to subsidize fuel efficiency by providing better targeted to the most deserving.
However, the constraints in the field is identified manually quite tiring because at the
time of identification necessary preparation and training of human resources at every
gas station, while the number of Gas station enter the respective areas in number to
tens or even hundreds.
Of the problem is needed ideas for the plan to subsidize these can be realized.
The government needs to think about a replacement for human labor automation
system that aims to make the process of identifying the vehicle no longer be done
manually. In the manual process required human resources personnel who are able to
standby 24 hours nonstop, it also can occur in situations when the employee is
experiencing fatigue so that the detection process prone to error. Data manipulation is
also prone to occur so that will also be detrimental to the gas station.
In this thesis researchers trying to develop a system by which the results of
image processing concept is intended to provide input to the government regarding
solutions to the provision of fuel subsidies could be better targeted. The size
distribution of the subsidy is based on the color / type of car plate number and types
of media are captured by the camera. In this prototype samples taken is the kind of
box cars, pickup trucks and family cars. If the system is run hopes will happen
automation system of charging fuel. Officers only need to fill in the fuel without the
setting up of the filler machine.
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