| dc.description.abstract | This research focuses on identifying coffee aroma using a conductive
polymer-based gas sensor that has been developed by the chemical sensors and
instrumentation research group which will later be assembled into a sensor array.
A total of 8 different sensors, namely PANi-HCl, PPy-HCl, PANi HCl-PPy HCl,
PANi-GO, PPy-GO, PANi-PPy-GO, PVAc-GO and PAA-GO. The problem
formulation in this research is whether the Conductive Polymer Composite-based
Sensor Array can differentiate the aroma of Robusta coffee from different
plantations based on the response patterns produced and how its performance is
seen from repeatability, reproducibility and response time. The aim of the
research is to find out whether a Sensor Array based on Conductive Polymer
Composites can answer existing problems. The analytical method used in this
research is repeatability and PCA analysis. The analysis tool uses Microsoft
Excel software and Origin software. The results and conclusions of this research
are that sensors arranged in an array can be used to differentiate the aroma of
coffee based on the resulting response pattern because each sensor produces a
different response for each coffee sample from a different plantation. The
performance of each sensor has a good level of precision as seen from the
repeatability value of less than 5%, based on the reproducibility value range
being 1.56%-6.67% the performance of each sensor can be said to be
reproducible in the first week and week second, while in the third and fourth
weeks it was considered less reproducible because there were several sensors that
experienced a decrease in performance and the level of precision of the data
produced, based on the response time values produced by the sensors that had the
highest to lowest sensitivity in order were PPy-HCl, PANi-HCl , PANi-GO, PANiPPy-GO, PVAc-GO, PANi-PPy, PAA-GO and PPy-GO.
Keywords : Sensor Array, Conductive Polymer, Composites, Coffee | en_US |
