Expert System Diagnosing Disease of Honey Guava Using Bayes Method. (November 2019)

• Record Type: Journal Article
• Authors: Abdullah, Dahlan; Zarlis, Muhammad; Pardede, A M H; Anum, Apipah; Suryani, Rini; Parwito, ; Hidayati, Permata Ika; Susilo, Edi; Sofais, Danur Azissah Roesliana; Rosyidah, Elsa; Surya, Sara; Iskandar, Akbar; Darmawansyah, ; Aprilatutini, Titin; Erliana, Cut Ita; Setiyadi, Didik
• Is Part Of: Journal of physics. Volume 1361(2019)
• Publication Date: 2019-11
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1361/1/012054
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Honey Guava Fruit (Green Guava Deli) is one of the fruit that are very popular, liked, and consumed by the people. The pProblems that cause a decline in the quality of guava due to honey guava plants can also be attacked by disease. The limited access information about honey guava disease is one of the obstacles, while the number of agricultural experts is still insufficient. In this study a media system will built with an expert system approach. The application development phase begins with the system analysis stage, namely data analysis and system requirements description, building a knowledge base, Data Flow Diagram, Entity Relationship Diagram, and creating a table structure, table design, and interface menu design. After the design phase is complete, it is continued to the implementation and testing phase of the application. This application uses Visual basic. Net as a programming language and Sql Server as a database. The research was conducted to make Honey Guava Disease Diagnosis System Expert System software that can work like an agricultural expert. The system is able to diagnose as many as 3 diseases using the Bayes Theorem method.