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All Journal Jurnal Rekayasan Lingkungan dan Biosistem
Chairunnisa, Alfiani
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Other

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Sorting Cilembu Sweet Potatoes Based on Weight Using 2D Image Sutisna, Setya Permana; Siregar, Tika Hafzara; Susilo, Tri; Chairunnisa, Alfiani
Jurnal Rekayasa Lingkungan dan Biosistem Vol. 1 No. 1 (2023)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/relibi.v1i1.419

Abstract

Cilembu sweet potato is one of the superior products of Cilembu Village, Pamulihan District, Sumedang Regency, West Java Province. Sorting is an important part of post-harvest activities with the aim of separating crops according to certain weight group levels. Grouping based on weight can be done using 2-dimensional (2D) image processing methods. The purpose of this study was to classify Cilembu sweet potatoes based on weight groups using 2D image processing methods. This study uses a 2-dimensional image processing method as an intelligent system in selecting Cilembu sweet potatoes based on size using a sorting tool. The results of the test, the system built can classify Cilembu sweet potatoes by weight with an error value of 6.67%.
Co-Authors Setya Permana Sutisna Tika Hafzara Siregar Tri Susilo