Identifikasi Penyakit Tanaman Citra Daun Cabe Menggunakan Gray Level Co-Occurrencce Matrix Dan Support Vector Machine

Irene Oktaviani Duka ; Huan Arthur Ado ; Yampi R.Kaesmetan
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Infor... 📅 2024 Vol 2, No 2 🔗 DOI: 10.61132/neptunus.v2i2.86
Abstract
Disease control of chili leaf citra plants is an important aspect in modern agriculture to increase crop yields and reduce losses due to pest attacks on chili leaf citra plants. In this research, identification of chili leaf diseases uses Gray Level Co-Occurrence to obtain image features, and the Support Vector Machine (SVM) method is used to classify the feature extraction results according to leaf disease categories in the test image. Based on the disease class using the test image. .As a classification tool for identifying plant pests in images of chili leaves, the dataset used in this research consists of images of leaves that represent normal conditions and conditions attacked by pests. The pest identification process consists of several stages, including image pre-processing, feature extraction, as well as training and testing. SVM model.
Keywords
GLCM; SVM; Chili Leaf Image; Feature Extraction
How to Cite

Irene Oktaviani Duka, et al. (2024). Identifikasi Penyakit Tanaman Citra Daun Cabe Menggunakan Gray Level Co-Occurrencce Matrix Dan Support Vector Machine. Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, 2(2). https://doi.org/10.61132/neptunus.v2i2.86

Irene Oktaviani Duka; Huan Arthur Ado; Yampi R.Kaesmetan, "Identifikasi Penyakit Tanaman Citra Daun Cabe Menggunakan Gray Level Co-Occurrencce Matrix Dan Support Vector Machine," Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, vol. 2, no. 2, 2024.

Irene Oktaviani Duka; Huan Arthur Ado; Yampi R.Kaesmetan. "Identifikasi Penyakit Tanaman Citra Daun Cabe Menggunakan Gray Level Co-Occurrencce Matrix Dan Support Vector Machine." Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, vol. 2, no. 2, 2024.

Irene Oktaviani Duka; Huan Arthur Ado; Yampi R.Kaesmetan. "Identifikasi Penyakit Tanaman Citra Daun Cabe Menggunakan Gray Level Co-Occurrencce Matrix Dan Support Vector Machine." Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi 2, no. 2 (2024).

Irene Oktaviani Duka, et al. (2024) 'Identifikasi Penyakit Tanaman Citra Daun Cabe Menggunakan Gray Level Co-Occurrencce Matrix Dan Support Vector Machine', Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, 2(2). doi: 10.61132/neptunus.v2i2.86.

Irene Oktaviani Duka; Huan Arthur Ado; Yampi R.Kaesmetan. Identifikasi Penyakit Tanaman Citra Daun Cabe Menggunakan Gray Level Co-Occurrencce Matrix Dan Support Vector Machine. Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi. 2024;2(2).

Artikel Terkait

Pengaruh Media Pembelajaran Berbasis IT terhadap Peningkatan Prestasi Akademik

Asep Sapaatullah

Evaluasi Kepuasan Pengguna terhadap User Interface Sistem Informasi Akademik Menggunakan Metode End User Computing Satisfaction (EUCS) di Universitas Esa Unggul

Muhammad Rizkie; Qori Halimatul Hidayah

Simulasi Management Akses Pengguna Internet Sekolah Menggunakan Firewall Filter Rule dan Bandwidth Management Queue Tree

Alvin Bachtiar; Agus Prihanto

Rancang Bangun Sistem Monitoring Laboratorium Komputer Berbasis IoT

Iqbal Firdaus; Maisarah Maisarah; Novia Urfiyati; Yeni Agus Nurhuda; Gusti Aditya Aromatica Firdaus

Rancang Bangun Sistem Monitoring Laboratorium Komputer Berbasis IoT

Iqbal Firdaus; Maisarah Maisarah; Novia Urfiyati; Yeni Agus Nurhuda; Gusti Aditya Aromatica Firdaus

Rancang Bangun Website SMP Swasta Karya Bhakti Medan

Maulana Firjatullah; Muhammad Risky Akbar; Ahmad Taufik Al Afkari Siahaan
Tren Sitasi Jurnal