Abstract
Anemia is one of the most common types of diseases experienced by people in developing countries but gets less attention to deal. Currently, smartphones applications can be utilized to support the process of anemia detection using an image of the conjunctival pallor. The K-means algorithm can be applied to cluster the pixels of conjunctiva pallor images which are represented in digital characters with red (R), green (G), and blue (B) formats. The clustering results from the under eyes image will be represented by the hemoglobin concentration, which is used to determine whether a person suffers from anemia or not. The function of this application is facilitate the user to perform anemia detection anytime and anywhere. Test results from this application indicate that the detection process gives the accuracy of 90%. This means that the result of detection through the application has a similarity of 90% with the results of detection using the EasyTouch®GCHb hemoglobin test.
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