| dc.description.abstract | Polyanilina is one of conductive polymer material which is developed on
chemical-electric censor, electronic, and optic. One of its developments is Polyanilina
censor which can show Chanos Chanos Fork’s freshness pass colour changing from
green to blue. Colour blind consument and colour changing sensitivity make this
censor so hard to use. Therefore, software which can clasificate Chanos chanos fork’s
freshness is needed. The purpose of this final examination is design a software with
Polyanilina’s characteristic using fuzzy method and help the consuments to choose
Chanos chanos fork, especially in supermarket. The advantage of this final
examination is the software can clasificate Chanos chanos fork’s freshness in smart
packaging and make the consuments easier to pick the fresh Chanos chanos Fork one
to create healthy lifestyle.
Software design held in Computer Network Laboratory of Engineering
Faculty of Jember University and this software is been tested twice. First, process
Polyanilin censor colour using image processing to get RGB, then is tested to fresh
Chanos chanos fork. Founded design is difference of green and blue. This differences
decrease untill minus, balance with decreased of Chanos chanos fork’s freshness. The
second step is make a fuzzy with the differences as input, the percentage of Chanos
chanos fork’s freshness as output, and Chanos chanos fork from Tanjung market,
traditional market on Jember, as the sample. Also has been analyzed with linear
regretion method to compare the linearty.
The conclusion of this final examination are image processing approve can
detect Polyanilina’s RGB value as green 82-184 and blue 67-174, this software have four condition: very stink as 0%-25%, stink as 26%-50%, still fresh as 51%-75%, and
fresh as 76%-100%, the average of Chanos chanos fork’s freshness in Tanjung
market in the afternoon is 65% and the Chanos chanos fork will stand on 10-12 hour
if freshness beginning 100%. The graphic of Chanos chanos fork’s freshness with this
software (y=-5,944x+98,22) more linear than the graphic’s of the old research (y = 12,83x
+
167,1). | en_US |
