Jurnal Rekayasan Lingkungan dan Biosistem
Vol. 1 No. 1 (2023)

Sorting Cilembu Sweet Potatoes Based on Weight Using 2D Image

Sutisna, Setya Permana (Unknown)
Siregar, Tika Hafzara (Unknown)
Susilo, Tri (Unknown)
Chairunnisa, Alfiani (Unknown)



Article Info

Publish Date
01 Aug 2023

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%.

Copyrights © 2023






Journal Info

Abbrev

RELIBI

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Other

Description

This journal is managed by the Agricultural and Biosystem Engineering Study Program and the Environmental Science Study Program, Faculty of Engineering and Science, Ibn Khaldun University, Bogor. The journal publication period is twice a year, in June and December. Relibi Journal is a scientific ...