Implementation of the Dempster Shafer Method in an Expert System for Diagnosing Solanum Lycopersicum Pests and Diseases

Wa Ode Nur Aisyah (Universitas Sembilanbelas November Kolaka)
Andi Tenri Sumpala (Universitas Sembilanbelas November Kolaka)
Yuwanda Purnamasari Pasrun (Universitas Sembilanbelas November Kolaka)
Mutmainnah Muchtar (Universitas Sembilanbelas November Kolaka)
Abdul Malik (Universitas Mega Buana Palopo)

Jurnal Media Informasi Teknologi
Vol. 1 No. 1 (2024): Februari 2024

Tomato (Solanum lycopersicum) is a horticultural crop as a vegetable or fruit with high economic value. One of the causes of decreased production is the presence of pests and diseases in tomato plants. The purpose of this research is to build an expert system to help the community, especially farmers, in diagnosing pests and diseases in tomato plants. The method used in this expert system is Dempster Shafer. The results achieved from the research were in the form of an expert system consisting of 10 pests and 7 diseases of tomatoes with 42 symptoms. The implication is that the user can choose the symptoms experienced by the plant, each symptom chosen has a weight that will be used to obtain disease determination results. Tests on 22 data show that the suitability between the application and the expert is 95%. This shows that the system is able to diagnose pests and diseases of tomato plants.