SISTEM PAKAR DIAGNOSIS HAMA DAN PENYAKIT PADA TANAMAN JAGUNG MENGGUNAKAN METODE NAIVE BAYES
DOI:
https://doi.org/10.52072/unitek.v18i1.1399Kata Kunci:
Corn, Expert System, Naïve Bayes, Diagnosis, Plant DiseaseAbstrak
Corn is one of the main agricultural commodities in Indonesia. However, its productivity often
declines due to pest and disease attacks. Farmers' lack of knowledge in identifying early
symptoms becomes a barrier to early treatment. Therefore, a web-based expert system was
developed to diagnose pests and diseases in corn plants using the Naïve Bayes method. The
system uses symptom and disease data provided by agricultural experts and calculates
probabilities based on user inputs. The testing results show that the system provides diagnoses
that match the training data used, with high accuracy and responsive performance. This system
is expected to help farmers detect and treat plant diseases earlier.
Unduhan
Referensi
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