Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Teknik Informatika dan Desain Komunikasi Visual
Uba Ladopurab, Yohana
Unknown Affiliation
Arts Computer Science & IT

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

Found 1 Documents
Search

 1 
Klasifikasi Tanaman Herbal Menggunakan Metode Support Vector Machine Agustina Meo1, Veronika; Uba Ladopurab, Yohana; R Kaesmetan, Yampi
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 3 No 2 (2024): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Herbal plants are plants that have value or health benefits, both traditional and scientific. Herbal plants have been used for centuries in various cultures as natural medicines, food supplements, or ingredients for body and health care. However, for many people they cannot differentiate herbal plants from other plants. With these problems, it is necessary There is an introduction to this problem with classification using the support vector machine method. . This research test uses test images that have been prepared previously, and calculated with GLCM using a pixel distance of d = 1 to 5 assisted by Gaussian and polynomial kernel functions. After performing feature extraction and classification calculations, the results showed that the highest accuracy was at pixel distance d = 1 with a polynomial function accuracy of 83%.
Co-Authors Agustina Meo1, Veronika R Kaesmetan, Yampi