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Journal : KOMPUTIKA - Jurnal Sistem Komputer

Ensiklopedia Digital Berdasarkan Klasifikasi Varietas Buah Mangga (Mangifera spp.) Menggunakan Algoritma Backpropagation Zilvanhisna Emka Fitri; Riska Aprilia; Abdul Madjid; Arizal Mujibtamala Nanda Imron
Komputika : Jurnal Sistem Komputer Vol 11 No 2 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i2.5513

Abstract

Mango is a leading fruit commodity that is able to increase industrial development and exports in Indonesia. There are 33 species of mangoes spread throughout the territory of the Republic of Indonesia and have many variations of fruit shapes in each type. However, the problem that occurs is the difficulty of information related to data on mango varieties, so to help these problems, the researchers created a digital encyclopedia system that is able to provide information related to the diversity of mango varieties. This encyclopedia can classify and identify 5 types of mangoes, namely Apple Mango, Gedong Gincu Mango, Golek Mango, Manalagi Mango and Gadung Mango. Parameters used to distinguish mango varieties are area, perimeter, eccentricity, major axis length and diameter. The classification method used, namely backpropagation, is able to classify the five mango varieties with a training accuracy of 99.6% and a testing accuracy of 96%. Keywords - digital encyclopedia; mango varieties; computer vision; shape parameters; backpropagation.