Diseases in plants are very disturbing and hinder to obtain maximum yields, corn plants are plants that are very easy to attack by diseases or pests, so expertise is needed in dealing with corn plant diseases. Problems arise when farmers do not have the ability and expertise to detect early corn plant diseases as experienced by farmers in the mura tami district. This study aims to design an expert system application as a form of solution for farmers so that they can detect plant diseases as early as possible. The expert system was developed using the forward chaining method which is a forward trace method. System development using the PHP programming language and mysql database. The results of this study conclude that the forward chaining method is suitable to be implemented in an expert system. The test results using the black box method stated that 100% of the system's functionality could work well, while testing using the user acceptance test (UAT) method stated that 84% of respondents strongly agreed that the application was implemented.

The operation of a good system in a company is inseparable from the support of business partners, but it is impossible to obtain if the partner or supplier of goods does not work as the target of the company itself. Given these problems, it is deemed necessary to create a DSS system that can assist directors in determining suitable suppliers to work together. In making this SPK, the SAW method starts from the selection of types of goods, selects criteria and sub-criteria, and determines the weights of each criterion.This study produced an SPK, with six main criteria and their respective weights, based on the criteria entered and processed in accordance with the rules of the SAW method, CV. Eka Makmur was chosen as the most suitable recommendation to become a supplier for all in one PC items. At the testing stage, three methods have been carried out namely black box, output testing, and user acceptance test.