IMPLEMENTASI LOGIKA FUZZY PADA DIAGNOSIS PENYAKIT BAWANG MERAH SERTA PENANGGULANGANNYA

Shallots are a type of annual plant that grows in clusters, has layered tubers, fibrous roots, and hollow cylindrical leaves. It is a type of vegetable that is included in the strategic commodity group so it needs attention and support from all parties. In the process of cultivating shallots, of course, there are many factors that affect the quality and quantity of the harvest. One of them is the control of shallot disease by providing the right pesticides. This research resulted in a system for diagnosing shallot disease and its management. By providing information to farmers (especially beginners), about diseases and the right pesticides to use on shallot plants based on the symptoms seen on the plants. This system uses the Tsukamoto fuzzy logic method. This method was chosen because it has rules in the form of IF-THEN which will be represented in fuzzy sets. As a result, the inferred output from each rule is given based on the predicate. The final results are obtained using a weighted average. Based on the results of the tests that have been carried out in this study, the accuracy of the 6 test data is 100%.