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All Journal Bit (Fakultas Teknologi Informasi Universitas Budi Luhur)
Deri Kurniawan
Universitas Muhammadiyah Sukambumi
Computer Science & IT Electrical & Electronics Engineering

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Expert System for Diagnosing Pests and Diseases of Crystal Guava Plants Using the Certainty Factor Method Deri Kurniawan; Winda Apriandari; Agung Pambudi
Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Vol 20, No 2 (2023): SEPTEMBER 2023
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/bit.v20i2.2462

Abstract

A guava variety called Jambu Kristal (Crystal Guava) that shows potential to be developed in Indonesia because it is suitable for soil, climate, and weather conditions in Indonesia, as well as increasing market demand. Nevertheless, crystal guava plants remain vulnerable to pests and diseases that can hinder growth and cause losses to farmers. If pest and disease attacks on crystal guava plants are not diagnosed and treated immediately, the consequences can include plant death, damage to the fruit, as well as a significant decrease in production. This research develops an expert system application that aims to assist farmers in diagnosing pests and diseases in Crystal Guava plants. In this research, the Certainty Factor Method is used as a reasoning tool to estimate the level of confidence in diagnosing pests and diseases that attack crystal guava plants. The Certainty Factor algorithm processes the uncertainty value input from the user using a single premise and conclusion to produce a diagnosis value in the form of a percentage. The expert system is supported by 8 knowledge bases that contain information related to pests and diseases in Crystal Guava plants. The built expert system shows that the system is able to diagnose Root Rot Disease with a confidence value of 97.60%.
Co-Authors Agung Pambudi Winda Apriandari