
<strong>Paper Title</strong><br>
Classification Of Odor Profile Ammonia In Fertilizer<br>
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<strong>Abstract</strong><br>
this study is about the intelligent odor-profile classification of ammonia in fertilizer by using electronic nose (Enose)
couple with Case Based Reasoning (CBR). Excessive of ammonia concentration will gives a bad impact to environment
especially the marine life in water. Thus, controlling and supervising the concentration of ammonia is crucial in order to
maintain environment quality. However, the availability of instrument that can directly detect the presence of ammonia in
without the sample be treated is limited. Hence, this study used E- nose to produce unique profile of an ammonia odor then the
features be further analyzed by using intelligent classification cased-based reasoning technique. The percentage accuracy of
using CBR in classifying ammonia odor approach 100%.
Index Terms- Ammonia, Classification, Cased-Based Reasoning, E-Nose.