Sari, Rika Setia (2022) PENERAPAN METODE CASE BASED REASONING UNTUK DIAGNOSA PENYAKIT UDANG VANAME BERBASIS WEB. S1 thesis, STMIK Royal Kisaran.
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Abstract
Vaname shrimp cultivation is a business that is the main choice nowadays by shrimp farmers and shrimp farmers. Resistance to stress and extreme weather is the main reason for the popularity of this type of Vaname shrimp culture. Even so, it is unavoidable that there are several diseases that can attack Vaname shrimp if they are not cared for properly. Several diseases that attack Vaname shrimp can usually be prevented by shrimp farmers based on some experience, but this is of course still not effective in preventing or knowing the types of diseases that attack shrimp. Expert systems that adopt human expertise into computers have a strategic position to help solve the problem of diseases that attack Vaname shrimp. In this system, the inference used is Case Based Reasoning because the process is carried out to recognize the disease and its symptoms and early characteristics of the disease. The development of this system is web-based using the PHP and Mysql programming languages as the database. This expert system can represent an expert in the field of shrimp disease to find out diseases in Vaname shrimp based on existing characteristics and symptoms and can provide solutions if there are diseases suffered by shrimp.
Keywords: Expert System, Case Based Reasoning, Shrimp Disease, Vaname Shrimp.
Item Type: | Thesis (S1) |
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Subjects: | A General Works > AI Indexes (General) L Education > L Education (General) L Education > LB Theory and practice of education > LB2361 Curriculum |
Divisions: | Falkultas Ilmu Komputer > Sistem Informasi |
Depositing User: | Rika Setia Sari |
Date Deposited: | 15 Aug 2025 05:21 |
Last Modified: | 15 Aug 2025 05:21 |
URI: | https://eprints.universitasroyal.ac.id/id/eprint/296 |