Muludi, Kurnia and Suharjo, Radix and Admi Syarif, AS and Ramadhani, Fitria (2018) Implementation of Forward Chaining and Certainty Factor Method on Android-Based Expert System of Tomato Diseases Identification. International Journal of Advanced Computer Science and Applications (IJACSA), 9 (9). pp. 451-456. ISSN 2156-5570 (pISSN), 2158-107X (eISSN)
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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.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Ilmu Komputer |
| Depositing User: | DR Admi Syarif |
| Date Deposited: | 07 Sep 2020 07:58 |
| Last Modified: | 15 Jun 2021 07:09 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/23903 |
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