SISTEM PAKAR MENDETEKSI PENYAKIT PADA TANAMAN SAYUR SAWI DENGAN METODE BAYES

Authors

  • Friska Nainggolan STMIK Pelita Nusantara
  • , Harvei Desman Hutahaean STMIK Pelita Nusantara
  • Asaziduhu Gea Universitas Methodist Indonesia

DOI:

https://doi.org/10.46880/mtk.v4i1.57

Keywords:

Expert System, Bayes Method, mustard greens

Abstract

Mustard vegetables are classified as leaf vegetables from the Cruciferaefamily which have high economic value and are very
popular among the people. Mustard vegetables are often used by people as processed ingredients in various types of cuisine.
In general, Vegetable Vegetables are planted in the lowlands to the highlands and harvest is done at the age of 30 - 60 days
after planting, depending on the variety. Expert systems are systems that try to adopt human knowledge to computers, so that
computers can solve problems as usual by experts. Bayes method is one of the methods found in expert systems that can
calculate or process the probability values of each symptom. The expert system detects mustard plant disease has 5 types of
diseases found in mustard vegetable plants, namely seedlings, leaf rot, clubroot, leaf spot, alternaria rot.

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Published

10-03-2018

How to Cite

[1]
F. . Nainggolan, , H. D. . Hutahaean, and A. Gea, “SISTEM PAKAR MENDETEKSI PENYAKIT PADA TANAMAN SAYUR SAWI DENGAN METODE BAYES”, METHODIKA, vol. 4, no. 1, pp. 15–19, Mar. 2018.

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Articles