期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：21
页码：3379-3389
出版社：Journal of Theoretical and Applied
摘要：Rice is a staple food in Indonesia. Rice varieties are very diverse for example such as Inpari, Inpago, Inpara, and others. There are more varieties in this type such as Inpari which has mekongga varieties that are quite popular in Karawang city even the distribution is almost in every city in indoensia. The many rice varieties that are present, causing the problem of mixing the types of rice varieties on the market. Digital image processing can be a solution that classifies rice based on images that can be a solution to recognize types of rice varieties by applying the Support Vector Machine (SVM) algorithm. The purpose of this research is to differentiate mekongga rice varieties from other varieties. so that consumers can easily set it up. This research was conducted using a 70 image dataset. Past several stages such as pre-processing, image segmentation, feature extraction, classification with the Support Vector Machine (SVM) algorithm, then evaluation. The classification of test data from 35 images yields an accuracy of 94.28%.
