SINERGI TEKNOLOGI DAN PERTANIAN MELALUI PENGEMBANGAN SISTEM PAKAR BERBASIS WEB UNTUK DIAGNOSIS PENYAKIT KAKAO MENGGUNAKAN METODE CERTAINTY FACTOR

Cacao (Theobroma cacao L.) is one of the leading agricultural commodities that plays a vital
role in Indonesia’s economy. However, its productivity is often hindered by pest and disease
attacks. On the other hand, the limited availability of agricultural experts and the difficulties
faced by farmers in accessing guidance and information regarding plant diseases highlight the
urgent need for a system that can assist in identifying problems quickly and accurately. This
study aims to develop a web-based expert system capable of diagnosing pests and diseases in
cacao plants using the Certainty Factor (CF) method. The system incorporates data on 9 types
of diseases and 6 types of pests along with their symptoms. Diagnosis is performed by
calculating certainty values based on a combination of expert confidence and user input using
CF formulas. With a web-based interface, the system can be easily accessed by farmers via
the internet. The diagnostic results of this system show a similarity rate of 93.33% with those
of other studies. This finding indicates that the CF approach demonstrates competitive
performance. Therefore, this system has the potential to serve as an effective tool in
supporting cacao plant health management by farmers.
Keywords: Disease diagnosis, Cacao, Certainty factor method, Web-based expert system