Abstract

The morphological identification system vector of pes disease is one of teaching aids students of the Faculty of Medicine of Universitas Islam Indonesia. The students needs to study the morphological characteristic under the microscope. In practice, it proof difficult to distinguish the kind of various ordos of flea. Thus, the computer teaching aids on this subject need to be developed. The purposed system identified the morphological characteristic of the insect using their size, shape, and texture features. At the identification stage, ten features selected using the Correlation Features Selection (CFS) with method search Best first. This system can also provide additional information about the taxonomy and general characteristics of parasitic insects. The method used for the classification of parasitic insects is KNN, which provides accuracy for body detection of 97.0377% and head detection of 75%. The system has been validated through the expert and its classification correlation reached Cohen’s Kappa.

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