SISTEM DIGITAL DAN CERDAS UNTUK IDENTIFIKASI HAMA DAN PENYAKIT PADA SINGKONG (Manihot esculenta)

Linda Oktavianingsih; Muhammadiyah; Ervinda Yuliatin; Afrisya Hardianto Putri; Fadhilah Rifhayu Izzah; Fathimah Azizah Muthaharah; Gian Yunita Putri; Rieskamayanti Putricia Utomo; Yudi Eko Prasetyo

doi:10.35760/jpp.2026.v10i2.352

Penulis

Linda Oktavianingsih Universitas Mulawarman Penulis
Muhammadiyah Institut Teknologi Bandung Penulis
Ervinda Yuliatin Universitas Mulawarman Penulis
Afrisya Hardianto Putri Universitas Mulawarman Penulis
Fadhilah Rifhayu Izzah Universitas Mulawarman Penulis
Fathimah Azizah Muthaharah Universitas Mulawarman Penulis
Gian Yunita Putri Universitas Mulawarman Penulis
Rieskamayanti Putricia Utomo Universitas Mulawarman Penulis
Yudi Eko Prasetyo Universitas Mulawarman Penulis

DOI:

https://doi.org/10.35760/jpp.2026.v10i2.352

Kata Kunci:

Digital analysis, cassava pests, ImageJ, Plantix, disease severity

Abstrak

Cassava (Manihot esculenta) is an important crop in Indonesia, but its productivity is often reduced by pests and diseases. This study aimed to identify the types of pests and diseases affecting cassava and to analyze the severity of infection using digital technologies. Observations were conducted on 23 November 2025 at three locations in Sempaja Utara, Samarinda, East Kalimantan. Leaf samples were identified using Plantix and Agri AI applications, while disease severity was analyzed by measuring the leaf area using ImageJ software. Results showed that sample A was affected by brown leaf spot and anthracnose, sample B was attacked by spider mites and Septoria leaf spot, and sample C was affected by spider mites and Cassava Brown Streak Disease (CBSD). ImageJ analysis indicated that the highest disease severity was 2.01% in sample B, and the lowest was 0.33% in sample A. These findings demonstrate that digital applications and artificial intelligence–based tools can support fast and efficient identification of cassava pests and diseases, providing potential guidance for better crop health management.

Unduhan

Data unduhan tidak tersedia.

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