Identification of monogeneans parasite using gray level co-occurrence matrix and artificial neural network

Identification of monogeneans parasite using gray level co-occurrence matrix and artificial neural network

• By Hikmatulloh, S.Kom, M.Kom; Dr., Dwiza Riana Riana Riana Riana; Jamal, Maulana Hudin Hudin Hudin; Susilawati, S.E, M.M; Dede, Wintana Wintana Wintana; Sri, Hadianti Hadianti Hadianti;
• Seminar Internasional Bereputasi
• 423

flatworms that are parasitic and attack the skin and gills of fish are called monogenean parasites. In this study 3 monogenic parasites were used, namely grandis, liewi, and johorensis. GLCM (Grey Level Co-occurrence Matrix) used in digital image processing to obtain feature extraction on images. ANN (Artificial Neural Network) used to classification mongenean parasites based on features extracted. This research resulted overall accuracy of 86,67%. Studying monogenean parasites is needed because it is related to the health of fish that we need in our daily lives, so that this research can ease and assist the work of ecologists in classifying monogenean parasites more quickly and efficiently.

• Katakunci
• URL https://iopscience.iop.org/article/10.1088/1742-6596/1641/1/012095/pdf
• Penerbit ,

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