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All Journal Jurnal Mantik Innovative: Journal Of Social Science Research
Nurhasanah Nurhasanah
Universitas Islam Negeri Sumatera Utara
Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Other

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Journal : Jurnal Mantik

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Disease in Corn Leafe Using Gabor Wavelet and K-Means Clustering Algorithm Mhd Furqan; Armansyah Armansyah; Nurhasanah Nurhasanah
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

This study aims to develop a system to classify diseases that attack corn leaves. This study used four types of disease, namely: leaf blight (Helminthosporium turcicum), leaf spot (Bipolaris maydis syn), leaf rust (Puccinia polysora) and downy mildew (Peronosclerospora maydis). This study uses 52 data in the form of images. Every image is changed into vector data using Gabor wavelet filter. This study uses the K-Means Clustering method for disease grouping. The data in this study are vector data. This research process goes through the stages of preprocessing, clustering, and accuracy testing. Preprocessing includes Gabor wavelet filters to extract vector data from the original image. Clustering uses K-Means by determining the starting point manually and calculating similarity using Euclidean Distance. Independent testing of accuracy by comparing the system and manual. The highest accuracy is 98% of the 51 correct data using 52 data with 4 data cluster labels.
Co-Authors Aina Azzahra Akbar Sholeh Sihombing Armansyah Armansyah Erwan Efendi M. Ichwannurrahman Meutia Nanda Mhd Furqan Nurul Azmi Tasya Amalia Tri Utami