SISTEM PAKAR DIAGNOSA PENYAKIT JAMUR (CRAYFISH PLAGUE) PADA LOBSTER AIR TAWAR MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS WEB

Authors

  • Vivi Dian Pratiwi Universitas Tiga Serangkai Surakarta, Indonesia
  • Didik Nugroho Universitas Tiga Serangkai Surakarta, Indonesia
  • Sri Hariyati Fitriasih Universitas Tiga Serangkai Surakarta, Indonesia
  • Dwi Remawati Universitas Tiga Serangkai Surakarta, Indonesia

DOI:

https://doi.org/10.30646/tikomsin.v13i2.1018

Keywords:

expert system, certainty factor, Aphanomyces astaci, crayfish plague, lobster

Abstract

Crayfish plague, caused by the oomycete Aphanomyces astaci, is a deadly disease in crayfish/freshwater lobsters and poses a threat to lobster cultivation and sustainability. This study designed a web-based expert system to diagnose fungal disease (crayfish plague) in freshwater lobsters using the Certainty Factor (CF) method. Knowledge was gathered from observations at lobster farms and expert interviews. Seven symptoms were used and compiled as a rule base. The system was implemented using PHP and MySQL. The inference mechanism used a combination of expert and user CF, along with functional (black-box) and validity testing. The results showed a combined CF value for fungal diagnosis reached 0.9369 for the observed symptom combination. Seven scenarios tested yielded a 6/7 (85.7%) agreement. The expert system using the CF method is suitable for use as an early diagnosis tool for fungal diseases in freshwater lobsters, especially in local cultivation.

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Published

2025-11-07

Issue

Vol. 13 No. 2 (2025): Jurnal Tikomsin, Vol 13, No.2, Oktober 2025

Section

Articles

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