Abstract
Plant disease is one of the reasons that cause the destruction of plant. It affects plant productivity and quality. Most of the farmers made mistake in cope with this problem because of the lack of knowledge. Expert system is a solution that has been widely used for identifying disease. This paper presents an Android-based expert system to help identifying tomato diseases. Data used in this expert system consist of 16 data of tomato diseases, 53 data of symptoms, and 20 variety of rules. This paper implements forward chaining and certainty factor method. Forward chaining is used as a reasoning method to get the result of disease identification. Certainty factor is used as a calculation method to obtain accuracy degree of identification results. Testing has been done through two stages, internal and external. The result from internal testing shows that tomato expert system works properly and fit perfectly in various android devices. External testing is done by giving questionnaire to 44 respondents. The result of questionnaires shows that tomato expert system is categorized as “good” by them.
Highlights
Tomato is a commodity plant that is being cultivated by many farmers in Indonesia due to its benefit
This paper develops an expert system for identifying tomato diseases implementing forward chaining and certainty factor method
Artificial Intelligence (AI) is the area of computer science that focus on creating expert machines that can engage on behaviors that humans consider intelligent [4]
Summary
Tomato is a commodity plant that is being cultivated by many farmers in Indonesia due to its benefit. Tomato becomes one of horticulture commodities that has high economic value yet still needs more concern, especially in production and quality enhancement [2]. This matter is showed by statistical data of tomato in Lampung province between 2014 until 2016 in Table Ia. Crop areas increase twice in 2016 yet is not followed by production result. This paper develops an expert system for identifying tomato diseases implementing forward chaining and certainty factor method. These methods are used to get identification results with accuracy degree. This expert system is designed to be android based, so that it can be used by many people anywhere and anytime
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