Ivonny Agahta Primary Author 1555301036 Primary Author mixed material bibliography Pekanbaru Pustaka Politeknik Caltex Riau 2019 id Indonesia

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xiii, 81 hlm.; 21 cm 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 PA Teknik Informatika PA TI Politeknik Caltex Riau Politeknik Caltex Riau PA TI PA1555301036 Perpustakaan PCR (R) Poster - Android Application Using Certainty Factor For Oral Organ Disease Diagnosis and Visualize the Distribution of Patient Using K-Means Algorithm 11166 2019-09-05 00:00:00 2019-11-11 16:12:45 machine generated