Technology development is very significant from time to time. Almost
all daily activities of humans need technology. It almost appears in the
entire field that exist in the world, especially the health field. When
feel something strange in the oral cavity such as canker sores or
swollen gums, they try to find references from the internet only and
conclude it by themselves, and they are also trying a home-style
treatment that is not necessarily a true solution. Based on problems
that mentioned before, an android mobile expert system will be the
solution. The capability to diagnosing disease in oral organs is
needed. In addition to this method, the data will be grouped using KMeans algorithm so that there will be data visualization for the
patient’s distribution. In order to maximize the quality of the system
and algorithm quality there 4 testing that implemented in this system.
Blackbox testing for the functionality of the system already tested and
run as expected. Usability testing for this whole system get 82%. The
purity cluster reach score 1, this result shows the cluster pure enough.
Expert judgement. With 80% accuracy showing that this application
be used as an alternative for users to diagnose oral diseases
Keywords: Certainty Factor, K-means, Oral Organ Disease, Black
box testing, Usabillity Testing, Expert judgement, Purity Cluster