Mobile Expert System to Diagnose Diseases and Pests in Tobacco Using Analytical Hierarchy Process (AHP)

Abstract

Tobacco, also known as the money tree by the Madurese people, is a second crop after the most cultivated corn. In the process of cultivating tobacco crops, diseases and pests become a threat to the farmers to realize the desire to make a lot of money. Generally, farmers often struggle to distinguish between pests and diseases. This failure will have a significant impact on the treatment, the disease that should be washed with the drug, but because the wrong diagnosis can be solved using insecticide (pest). This research aims to facilitate farmers to obtain information, appropriately diagnose and solutions in overcoming diseases and pests in tobacco. The experts who contributed to this study are agricultural experts in the district office of Sumenep. The method used is Analytical Hierarchy Process (AHP). This method is selected because it can perform consistency tests on data, so it is expected to improve the accuracy of the diagnosis. Based on research that has been done, using 21 data symptoms of diseases and pests, as well as nine types of diseases in tobacco, obtained the accuracy value of the mobile expert system by 65%. This accuracy is achieved by comparing the diagnose results by agricultural experts with the diagnose results using the mobile expert system.