Jurnal Teknologi dan Sistem Komputer (Apr 2018)

Expert System for Diagnosis of Potential Disease Spreading on Chili Plants Using Mamdani Fuzzy Inference

  • Deni Setiyo Wibowo,
  • Yessy Yanitasari,
  • Dedih Dedih

DOI
https://doi.org/10.14710/jtsiskom.6.2.2018.71-75
Journal volume & issue
Vol. 6, no. 2
pp. 71 – 75

Abstract

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This research developed expert system using fuzzy Mamdani to diagnose the spread of diseases affecting the growth of chili plants based on environmental factors. Environmental variables used as fuzzy input parameters are soil pH, air temperature, air humidity and solar irradiation. The input-output relationship uses 81 rules with the AND operator and the MIN implication function. For a case, the results showed that the percentage of the potential spread of the disease showed 60.25%, so the category of potential disease spread with soil PH 7.5 pH, 28 ° C air temperature and air humidity 75 RH and 35% sun irradiance is moderate.

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