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All Journal Jurnal Rekayasan Lingkungan dan Biosistem
Alfiani Chairunnisa
Universitas Ibn Khaldun
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 Setya Permana Sutisna; Tika Hafzara Siregar; Tri Susilo; Alfiani Chairunnisa
Jurnal Rekayasa Lingkungan dan Biosistem Vol. 1 No. 1 (2023): Jurnal Relibi 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