Sari, Risna Puspita, Astuti, Indah Puji and Buntoro, Ghulam Asrofi (2022) IMPLEMENTASI ALGORITMA NAIVE BAYES UNTUK IDENTIFIKASI PENYAKIT PADA BURUNG PERKUTUT BERBASIS WEB. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.
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Abstract
Turtledove belongs to a species of bird in the Columbidae tribe (pigeons) of the Geopelia genus which has a beautiful and unique sound. Turtledoves are also included in the type of birds that are rarely sick and easy to care for, but do not rule out the possibility of being immune to disease. Many bird breeders/hobbyists only know the types of diseases suffered by birds in general, even though there are still several diseases with symptoms that are almost the same as turtle turtles in general. Therefore, there is a need for solutions that are needed to identify diseases in birds and how to overcome these bird diseases. In this study, it provides a solution to identify diseases in turtle doves and their web-based treatment. The method used in this research is to apply the Naïve Bayes algorithm to get a high level of accuracy. The system development method uses the ESDLC method with stages of assessment, knowledge acquisition, design and testing. Testing on the system using black box testing. In the object taken there are data as many as 12 diseases and 35 symptoms. According to the results of black box testing, it shows that the system is running according to its function.
| Item Type: | Thesis (Skripsi (S1)) |
|---|---|
| Uncontrolled Keywords: | Turtledoves, Expert System, Naïve Bayes, Website, PHP |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | ft . userft |
| Date Deposited: | 03 Aug 2022 07:08 |
| Last Modified: | 03 Aug 2022 07:08 |
| URI: | http://eprints.umpo.ac.id/id/eprint/9240 |
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