DEVELOPMENT OF A SYSTEM FOR DIAGNOSING PESTS AND DISEASES IN CORN PLANTS BASED ON THE INTENSITY OF DAMAGE USING THE CERTAINTY FACTOR METHOD

  • R. Ramdan Kusumahdinata universitas perjuangan
  • Aso Sudiarjo Universitas Perjuangan
  • Missi Hikmatyar Universitas Perjuangan
  • R. Arif Malik Ramadhan Universitas Perjuangan
https://doi.org/10.35457/antivirus.v17i1.3066
Abstract views: 346 , PDF downloads: 312
Keywords: sistem pakar, certainty factor, tanaman jagung

Abstract

Corn plants have the potential to be attacked by pests or diseases that can appear at any time such as leaf blight, leaf rust and downy mildew. Obstacles facing farmers are sometimes the lack of information about the symptoms found so that sometimes the diagnosis is not correct and the treatment is wrong, resulting in reduced corn production. Along with technological advances, a technology has also been produced that can adopt the process of human thinking, namely artificial intelligence technology or AI or Artificial Intelligence. including an expert system, which is a computer-based system that adopts the knowledge and experience of an expert, and reasoning techniques to solve a problem, similar to how an expert in a particular field solves the problem. The development that will be made is "Development of a Diagnostic System for Pests and Diseases in Corn Plants Based on Damage Intensity Using the Certainty Factor Method".

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References

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Published
2023-10-26
How to Cite
[1]
R. R. Kusumahdinata, A. Sudiarjo, M. Hikmatyar, and R. A. M. Ramadhan, “DEVELOPMENT OF A SYSTEM FOR DIAGNOSING PESTS AND DISEASES IN CORN PLANTS BASED ON THE INTENSITY OF DAMAGE USING THE CERTAINTY FACTOR METHOD”, antivirus, vol. 17, no. 1, pp. 135 - 143, Oct. 2023.
Issue
Vol. 17 No. 1 (2023): Mei 2023
Section
Articles

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