The Development of Cassava Varieties and Disease Analysis Classification System by using Rule-Based System

Abstract

The objectives of this research were to design and develop of cassava varieties and disease analysis classification system by using rule-based system. These rules were developed by five experts. The data were collected from the Department of Agriculture. The system was developed in the form of web application by using PHP language with MySQL database and mobile application by using HTML5 with PHP language and JAVA language. The development and testing result showed that the system was able to classify and analyze cassava disease and recommended prevention and treatment of cassava disease. In addition, this system was able show the price of cassava daily and historical prices and charts of cassava. The system was evaluated in term of users’ satisfaction by using questionnaire collected from 2 groups including 5 experts and 30 general users. The average and the standard deviation of results from computer experts were 4.25 and 0.51, respectively, while those of results from the general users were 4.27 and 0.75, respectively. It showed that the users’ satisfaction towards this system was in the high level.