TUALAKA, Nanci (2023) Sistem Pakar Diagnosa Penyakit Tanaman Bawang Merah Menggunakan Metode Bayes Berbasis Web. Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.
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Abstract
Lack of knowledge of farmers regarding the maintenance and prevention of diseases in shallot plants and the lack of availability of agricultural extension experts or experts in providing adequate information on proper handling of shallot plant diseases. So that the productivity of crop yields from year to year has decreased. From the existing problems, it is necessary to create a web-based expert system application that can help farmers diagnose diseases in shallot plants. This research uses the bayes method which can work to get correct information based on the cause. This application was built using the PHP program language and Mysql Database. The result of this research is to build an expert system that can help diagnose diseases in shallot plants without having to wait for plant experts to come. The use of this expert system can help farmers diagnose diseases in shallot plants and can provide information about diseases and symptoms in shallots to avoid the disease.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Expert System, Shallot, Bayes, Web |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Fakultas Teknik > Program Studi Ilmu Komputer |
Depositing User: | S.Kom Nanci Tualaka |
Date Deposited: | 28 Aug 2023 07:51 |
Last Modified: | 28 Aug 2023 07:51 |
URI: | http://repository.unwira.ac.id/id/eprint/13316 |
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