Expert System in Diagnosing Pests and Diseases of Zingiber Officinale using Certainty Factor Method
Ahmad Faiz (a*), Silvester Dian Handy Permana (a), Budi Arifitama (a)

a) Program Studi Teknik Informatika, Universitas Trilogi
Jl. TMP Kalibata No.1, Jakarta 12760, Indonesia
*ahmadfaiz[at]trilogi.ac.id

Abstract

Ginger or in Latin known as Zingiber Officinale is a type of plant that is included in the category of spice plants which is also widely traded throughout the world. Aside from being a spice plant, ginger is also a multifunctional plant that has several benefits, namely as a medicinal plant, herbal oil, and scent giver. Although the ginger plant can function as a medicinal plant, in ginger cultivation there are some problems related to diseases and pests that attack the ginger plant which can cause the plant to not grow or even die. Some types of diseases and pests that often attack are bacterial wilt, root crests, rhizomes, and shield lice. The solution to overcome the problem above is an expert system with a certainty factor method that can diagnose diseases and pests based on the level of expert confidence. Expert system testing was carried out by building case studies of up to 30 samples with the experts involved. The results showed that from 30 sample case studies that had been carried out, the expert system successfully diagnosed diseases and pests as many as 28 samples correctly and with an accurate rate of 93%. Based on this test, an expert system with the certainty factor method can help farmers or non-farmers to diagnose types of diseases or pests on ginger.

Keywords: Expert System, Certainty Factor, Zingiber Officinale, Ginger

Topic: Information Engineering