Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Informatika Teknologi dan Sains (Jinteks)
Dewi Riyanti Wibowo
STIKOM Cipta Karya Informatika
Computer Science & IT Control & Systems Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
IMPLEMENTASI TINGKAT KEMATANGAN BUAH MONK DENGAN MENGGUNAKAN EKSTRAKSI GRAY-LEVEL CO-OCCURRENCE MATRIX (GLCM) DAN SUPPORT VECTOR MACHINE (SVM) Dadang Iskandar Mulyana; Dewi Riyanti Wibowo
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 3 (2023): EDISI 17
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i3.2512

Abstract

Monk fruit is a fruit from China which is believed to have many benefits and properties. This fruit, which belongs to the pumpkin family, is often used as a sweetener, a good substitute for sugar, for dieters and diabetics. It has a slightly oval round shape with a green skin color. Each fruit has characteristics that are used to determine its quality. However, fresh monk fruit is rarely found in the market because it spoils quickly. Information on the maturity level of Monk fruit is needed by the agricultural industry in general. one of the obstacles is helping which is still done manually. Therefore researchers will use GLCM and SVM calculations. At the GLCM calculation stage, a matrix is ??formed with angles of 0°, 45°, 90° and 135°. The feature values ??extracted are contrast, homogeneity, energy and correlation. And SVM is one of the methods used in digital image processing to extract features. This study used 991 Monk fruit datasets. There are two classes, "Mature" consists of 635 images and class "Immature" contains 356 images. Managed to get the highest accuracy on the C50, reaching 89%.
Co-Authors Dadang Iskandar Mulyana`