Expert System of Land Suitability for Fruit Cultivation Using Case-Based Reasoning Method

Agriculture is one of the economic sectors in Indonesia that has the potential to be developed to support the achievement of the nation's food independence. Horticultural farming has great opportunities to be developed. However, there are problems in the productivity and management of existing gardens. An example is the empty plot of land because often the planted plants can not survive, especially when the dry season arrives. Lack of information about land suitability and the limited ability of garden extension about the condition of land characteristics is the cause of the problem that occurs. This research aims to design and implement an expert system of land suitability selection for fruit crops. The method used for problem-solving using case-based reasoning is to compare new cases with old cases and calculate case similarity values. The result of this study is an expert system of determining the suitability of land for the cultivation of fruit crops that can provide recommendations on what plants are suitable for the land analyzed. The proposed case-based reasoning method can analyze the condition of the land by taking into account the conditions with their respective weights. Accuracy testing using the cyclomatic complexity method obtained expert system accuracy obtained results of 80% of 30 test cases.