Muhammad Nasir, Mursyidah, Muchsin Fajri
Rice plants (Oryza sativa, sp) are a staple food raw material that is vital for the people of Indonesia. Rice plants are included as a year / annual plant group. The management of rice plants is an innovative and dynamic approach in increasing the production and opinion of farmers through assembling technological components in a participatory manner with farmers. For this reason, appropriate technology facilities are needed that can be used by farmers in determining the type of leaf disease that burns during the growing period of rice so that it can increase production. This study aims to apply the Gray level Co-Occurrence Matrix method to produce feature values on rice leaves. Differences in the patterns of rice leaves are used by identifying each rice leaf pattern, which results in the type of leaf disease burning through the rice leaf pattern. In this study, the accuracy of this system was obtained at 72.5%. © Published under licence by IOP Publishing Ltd.
Department of Information Technology and Computers, Politeknik Negeri Lhokseumawe, Aceh, Indonesia
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