Putri, Siska Fandelina (2024) Diagnosis Dan Solusi Penanganan Penyakit Pada Hewan Sapi Menggunakan Metode Naive Bayes. Other thesis, Universitas Islam Riau.
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Abstract
Cattle are livestock that have promising economic value, both as beef livestock, seed livestock or food. The demand for quality beef greatly influences the health of cows. In the process of business development, cattle breeders experience problems in the form of diseases which can cause farmers to fail and cause death of cattle. To overcome disease disorders, knowledge is needed that can provide information about the symptoms that appear in cattle, the diseases experienced and treatment solutions that must be taken to overcome the disease. To overcome disease disorders, knowledge is needed that can provide information about the symptoms that appear in cattle, the diseases experienced and treatment solutions that must be taken to overcome the disease. .To diagnose and treat disease in cattle using the Naive Bayes method. Where the Naive Bayes method aims to classify and determine probabilities that will later be calculated on cattle diseases according to the facts of existing symptoms and then look for solutions in determining what diseases cattle suffer from based on the same symptoms or those that have occurred before and knowing what drug handling solutions need to be given to cattle. This system makes it easy to determine diseases in cattle based on the symptoms of the disease in cattle. This system uses cow experts as admins who are tasked with adding data, editing data and deleting data. This system is a tool to help farmers in determining diseases in cattle and treatment solutions.
| Item Type: | Thesis (Other) |
|---|---|
| Contributors: | Contribution Contributors NIDN/NIDK Sponsor Labellapansa, Ause 1018088102 |
| Uncontrolled Keywords: | Diseases In Cattle, Naive Bayes Method. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | > Teknik Informatika |
| Depositing User: | Yolla Afrina Afrina |
| Date Deposited: | 25 Sep 2025 01:26 |
| Last Modified: | 25 Sep 2025 01:26 |
| URI: | https://repository.uir.ac.id/id/eprint/30038 |
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