Sistem pakar diagnosis penyakit tanaman melon menggunakan metode DFS
ABSTRAK MUHAMMAD ADJI PORNOMO, C1755201036, 2021, Web-Based Melon Plant Disease Diagnosis Expert System Using the DFS Method , Supervisor I Sulistyowati S, kom, M.Cs. Advisor II Amaya Andri Damaini S.kom, MT The problem in this study is where the limited number of experts or experts who can determine melon plant diseases and how to overcome them causes the production of melons to decrease every year. The absence of a melon plant expert in identifying the disease resulted in the healing process being hampered. In addition, the position of an expert who is far from the land of melon plants that are attacked by disease is also an inhibiting factor for plant healing. A plant is infected with disease caused by biotic and abiotic factors . Where, these disease factors can attack plants at any time and anywhere, including melon plants, melon disease is one of the problems that causes melon production for farmers to decline. The limitations of a plant expert sometimes become an obstacle for farmers who will conduct consultations. Although an expert is a person who is an expert in his field, in reality an expert has limited memory and work stamina. In addition, the absence of experts and the high cost of consulting in an area are also obstacles for farmers in getting solutions to the problems they face. This can lead to the wrong solution being taken. If this happens, it can result in a fatal event to the plant such as a decrease in fruit quality or crop failure. To overcome this problem, technology is offered as a substitute for experts. Therefore, the author makes an expert system for diagnosing melon plant diseases based on the Web to make it easier for farmers to diagnose melon plant diseases, so that melon yields do not decrease every year.