Food ScienTech Journal
Vol 1, No 2 (2019)

SORTING MANALAGI APPLE (Malus sylvetris Mill) USING IMAGE PROCESSING APPLICATION

Slamet, Ahmad Haris Hasanuddin (Master Program of Agroindustrial Technology University of Jember)
Soedibyo, Dedy Wirawan (Department of Agricultural Engineering, Faculty of Agricultural Technology, University of Jember)



Article Info

Publish Date
30 Dec 2019

Abstract

Manalagi apple (Malus sylvestris Mill) is one type of apple that has been widely known by the public in Indonesia. Fruit sorting in Indonesia, particularly Manalagi apple, is carried out manually so it is still at a disadvantage. This study aimed to arrange image processing applications with criteria for size, width, height, color, and defect area of fruits. The samples of Manalagi apple used in this study were 130 with 50 each in the non reject and reject quality classes and 30 for the validation test. Manalagi apple samples were obtained from one of the collectors located in Batu City. The image of Manalagi apple processed gained several variables, including perimeter, area, height, width, r, g, b, and defect area. Based on statistical analysis, image quality variables that could be used as input for making applications in the form of logical sentences were perimeter, area, and defect area. Based on the application, the validation test obtained an accuracy of 86.65%.

Copyrights © 2019






Journal Info

Abbrev

fsj

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Immunology & microbiology

Description

FSJ is an open access, peer-reviewed, multidisciplinary journal dedicated to the publication of novel research in all aspects of Food Technology, with particular attention paid to the exploration and development of natural products derived from tropical—and especially Indonesian—biodiversity. ...