Implementasi Sistem Pakar Berbasis Web Untuk Diagnosis Penyakit Tanaman Padi Menggunakan Metode Naive Bayes Di Balai Penyuluh Pertanian Kecematan Moyo Hulu

Authors

  • Eri Sasmita Susanto Universitas Teknologi Sumbawa
  • Aldy Aldy Universitas Teknologi Sumbawa
  • Shinta Esabella Universitas Teknologi Sumbawa
  • Ekastini Ekastini Universitas Teknologi Sumbawa

DOI:

https://doi.org/10.34010/jtk3ti.v12i1.19423

Abstract

This study developed a web-based expert system for diagnosing rice plant diseases using the Naive Bayes Classifier method and the Spiral Model software development model. The Spiral approach allows for iterative development with a focus on risk management and validation by agricultural experts. The system includes 12 disease types and 27 symptoms, and generates probabilistic diagnoses along with recommended actions. Testing on 21 cases demonstrated 95.24% accuracy compared to expert assessment, demonstrating the effectiveness of this method in providing a reliable diagnostic tool to support national food security.

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Published

2026-04-29

Issue

Vol. 12 No. 1 (2026): April 2026

Section

Articles

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Copyright (c) 2026 Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi

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How to Cite

[1]
“Implementasi Sistem Pakar Berbasis Web Untuk Diagnosis Penyakit Tanaman Padi Menggunakan Metode Naive Bayes Di Balai Penyuluh Pertanian Kecematan Moyo Hulu”, JTK3TI, vol. 12, no. 1, pp. 122–130, Apr. 2026, doi: 10.34010/jtk3ti.v12i1.19423.