IMPLEMENTASI METODE SELEKSI FITUR MENGGUNAKAN ARTIFICIAL BEE COLONY PADA KLASIFIKASI RETINAL NERVE FIBER LAYER

Damage to Retinal Nerve Fiber Layer can Cause Glaucoma. Glaucoma is an inflammation of the optic eye which characterized by progressive deterioration Optic Head and field view. Problems that require a classification solution are hindered large data dimensions. Artificial Bee Colony one evolution algorithms widely used for feature selection optimization. Gray level Coocurrence matrix as extraction method, bee colony method Support Vector Machine Classification. The proposed using gets improved Accuracy compared without Colony. results obtained were 95% accuracy, 95.9% specificity 93.7% sensitivity where methods did not use accuracy 93.8%, Specificity sebsar 90.3% Sensitivity 92.6%.