KOEBNANU, Robi (2016) Aplikasi Sistem Pakar Untuk Mendiagnosis Penyakit Pada Anak Dengan Pengobatan Herbal Menggunakan Metode Forward Chaining. Undergraduate thesis, Universitas Katolik Widya Mandira Kupang.
Text
ABSTRAK.pdf Download (1MB) |
|
Text
BAB I.pdf Download (1MB) |
|
Text
BAB II.pdf Restricted to Repository staff only Download (1MB) |
|
Text
BAB III.pdf Restricted to Repository staff only Download (1MB) |
|
Text
BAB IV.pdf Restricted to Repository staff only Download (1MB) |
|
Text
BAB V.pdf Restricted to Repository staff only Download (1MB) |
|
Text
BAB VI.pdf Download (1MB) |
Abstract
The diagnosis disease expert system for children is an expert system that is designed as a tool to diagnose the type of tropical diseases, especially in children with a dynamic knowledge base. This knowledge is obtained from various sources including research and seminars conducted experts in their field and books related to childhood diseases, and herbal medicine. The knowledge base is structured such that into a database with multiple tables including tables of disease, symptom tables and tables of rules to facilitate the performance of the system in conclusion. Drawing conclusions in this expert system uses forward chaining inference method. This expert system will feature a selection of symptoms that can be selected by the user, where each option symptoms will bring the user to the choice of the next symptom to get the final result. At the end result will feature a selection of the expert system user symptoms, types of illness, causes and countermeasures using herbal or traditional medicine.
Item Type: | Thesis (Undergraduate) |
---|---|
Uncontrolled Keywords: | Expert System, Pediatrics, Herbal medicine, Forward Chaining. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Fakultas Teknik > Program Studi Ilmu Komputer |
Depositing User: | S.Kom Sela Mikado |
Date Deposited: | 11 Aug 2022 05:28 |
Last Modified: | 11 Aug 2022 05:28 |
URI: | http://repository.unwira.ac.id/id/eprint/7618 |
Actions (login required)
View Item |