JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI
Vol 10 No 2 (2023)

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

Aam Shodiqul Munir (Universitas Amikom Yogyakarta)
Andi Sunyoto (Program Magister Teknik Informatika, Universitas Amikom Yogyakarta)
Hanif Al Fatta (Program Magister Teknik Informatika, Universitas Amikom Yogyakarta)



Article Info

Publish Date
17 Feb 2023

Abstract

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

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Journal Info

Abbrev

EDUSAINTEK

Publisher

Subject

Humanities Computer Science & IT Education Mathematics Social Sciences Other

Description

Jurnal pendidikan sains dan teknologi diterbitkan oleh STKIP PGRI Situbondo sebagai wadah bagi civitas akademika STKIP PGRI Situbondo serta kalangan guru, dosen, peneliti, praktisi dan pemerhati pendidikan yang peduli terhadap perkembangan penelitian tentang Teknologi pembelajaran, Media ...