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SORTING MANALAGI APPLE (Malus sylvetris Mill) USING IMAGE PROCESSING APPLICATION Slamet, Ahmad Haris Hasanuddin; Soedibyo, Dedy Wirawan
Food ScienTech Journal Vol 1, No 2 (2019)
Publisher : University of Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.257 KB) | DOI: 10.33512/fsj.v1i2.7093

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%.