SOFTWARE DEVELOPMENT FOR DETECTING MALARIA TROPIKA ON BLOOD SMEARS IMAGE USING SUPPORT VECTOR MACHINE

Tropical malaria is a disease caused by protozoan parasites of genus Plasmodium that infect red blood cells of patients. Tropical malaria falciparum is the most severe form of malaria. Process is performed by physicians to diagnosing tropical malaria diseases in blood smear with directly observed using a microscope. This procedure is certainly not effective. Purpose of research is to develop a software that can automatically detect tropical malaria of blood smear image as a diagnostic aid. This study consists of three steps. First step is to create a user interface. Second step is to develop software to perform segmentation of blood smears image using active contour method, and the third step is development of software for malaria detection by classification of blood smears images suspected containing plasmodium malaria using support vector machine (SVM). The results of testing that has been done for normal blood obtained accuracy 100 % , thropozoit phase with accuracy 100 %, Schizont phase with accuracy 85 %, and gamethozit phase with accuracy 95%.