Article Per Year (5 Year)
p-Index From 2020 - 2025
1.683
P-Index
This Author published in this journals
All Journal JTEV (Jurnal Teknik Elektro dan Vokasional JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknoinfo Jurnal Sistem Cerdas Indonesian Journal of Electrical Engineering and Computer Science JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Dahlan, Iqbal Ahmad
Universitas Pertahanan RI
Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Mathematics Physics Social Sciences

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI

 1 
Perbandingan Metode SVM-Segmentasi Untuk Mendeteksi Kutu Beras Dalam Citra Beras Uvi Desi Fatmawati; Wahyu Hidayat; Dananjaya Ariateja; Iqbal Ahmad Dahlan
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1479

Abstract

Support Vector Machine (SVM) is a classification method that works by finding the hyperplane with the largest margin. Saturation Value (SV) is a digital image color model consisting of two elements, namely Saturation and Value. SV is taken from HSV, then only two elements are used. Segmentation is the process of separating an image that will be detected with a background image. Rice weevils are small pests that damage the quality of rice in rice storage. The quality and nutrition of rice will be reduced because of that bug. In this study, two methods have been used to detect the rice weevil that placed on a rice in an image. In the first method, feature extraction of the rice weevil texture is taken from RGB images and feature extraction of the SV brightness values ​​is taken from converting RGB images to HSV images. These two parameters are used as the SVM data training. In the second method, SV value in the HSV color model is used to separate between the rice weevil as the object detected and a rice as the background. The results showed that the first method provides an accuracy rate of 78.95% while the second method is 84.78%. Keywords—SVM, HSV, Segmentation, Rice Weevils, Accuracy
Co-Authors Dananjaya Ariateja Dananjaya Ariateja Dananjaya Ariateja Dananjaya Ariateja Fadhil Hidayat Faqih Hamami Fetty Fitriyanti Lubis Firdaus, Muhammad Azka Hirawan, Agung Kusumadjati, Adhi Lesmana, Azka Versantariqh Muhammad Abditya Arghanie Muhammad Azka Versantariqh Muhammad Bryan Gutomo Putra Muhammad David Napitupulu, Jofim Yordaniel Parwatiningtyas, Diyan Prakosa, Setya Widyawan Renoult, Muhammad Rey Rimbawa, H A Danang Suhono Harso Supangkat Tjahjadi, Hendrana Uvi Desi Fatmawati Versantariqh, Muhammad Azka Wahyu Hidayat