📅 07 November 2025
DOI: 10.30646/tikomsin.v13i2.1018
SISTEM PAKAR DIAGNOSA PENYAKIT JAMUR (CRAYFISH PLAGUE) PADA LOBSTER AIR TAWAR MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS WEB
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)
Universitas Tiga Serangkai
📄 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.
🔖 Keywords
#expert system
#certainty factor
#Aphanomyces astaci
#crayfish plague
#lobster
ℹ️ Informasi Publikasi
Tanggal Publikasi
07 November 2025
Volume / Nomor / Tahun
Volume 13, Nomor 2, Tahun 2025
📝 HOW TO CITE
Pratiwi, Vivi Dian; Nugroho, Didik; Fitriasih, Sri Hariyati; Remawati, Dwi; universitas tiga serangkai, "SISTEM PAKAR DIAGNOSA PENYAKIT JAMUR (CRAYFISH PLAGUE) PADA LOBSTER AIR TAWAR MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS WEB," Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), vol. 13, no. 2, Nov. 2025.
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