JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Vol 11 No 4 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

Deteksi Penyakit Pada Daun Cabai Menggunakan Metode Convolutional Neural Network

Firdaus, Usamah Putra (Unknown)
Litanianda, Yovi (Unknown)



Article Info

Publish Date
13 Dec 2024

Abstract

Chili peppers are one of the most popular vegetable crops among the Indonesian population. According to BPS data, both the consumption and production levels of large chili peppers and bird's eye chili peppers in 2022 exceeded those of previous years. Despite the high production levels, cultivating chili peppers is very risky due to frequent attacks by diseases and pests. Therefore, a system that can identify diseases or pests in chili pepper plants is needed. In this study, classification is divided into four categories: Healthy, Whitefly, Yellowish, and Leaf Spot. The method used is Convolutional Neural Network (CNN). The accuracy achieved from the training data is 88%, while the validation data accuracy is 82%. After conducting ten trials for each category, good accuracy was obtained. The Healthy category achieved 100% accuracy, Whitefly 70%, Yellowish 80%, and Leaf Spot 90%

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Journal Info

Abbrev

jatisi

Publisher

Subject

Computer Science & IT

Description

JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun ...