a) UNIVERSITAS NEGERI MEDAN, Jalan Willem Iskandar Pasar V Medan Estate kecamatan Percut Sei Tuan Deli Serdang 20221
Abstract
Lymphatic Filariasis is detected by microscopic examination of a blood sample usually. Until now, this is still difficult to do that because microfilariae only appear in the blood at night for only a few hours (nocturnal periodicity). The lack of trained microscopy technicians and repeated diagnoses and the fact that there were only a few positive cases in a population of thousands were problems the team faced. This is one of main factor causing the detection error. The main problems are the level of difficulty, high accuracy and the long time to carry out laboratory examinations result. Image analysis method can be used to identify Lymphatic Filariasis worms in the blood. Lymphatic filariasis worm detection can be done by digital image analysis. This study will use feature extraction methods and K-Nearest Neighbor to identify object features in the form of worms that cause elephantiasis (Lymphatic Filariasis) in digital images recorded by Trinocular digital microscope cameras. This study aims to determine the performance of the image analysis method used in the identification process of Lymphatic Filariasis worms.
