Early Detection of Nervous Disease Using Expert System and Multimedia

Paryati
Departement of Informatics Engineering Faculty of Industrial Engineering University Pembangunan Nasional ”Veteran” Yogyakarta.










Abstract

Central nervous system has the main function to detect, analyze, and deliver information. The information collected by the sensory system is integrated in the brain, the signal is passed to the motor system, the autonomic pathways to control movement, visceral activity, and endocrine functions. The nervous system has immune function and support modulate neural activity. Neurological disease commonly found due to the lack of information and knowledge about the disease. So, this study made by using forward and backward chaining reasoning with healing therapies and the treatment. The system is made so that the patient can see, understand the type of central nervous diseases, their healing therapies and the treatment. This system provides multiple solutions for the prevention of disease according to the type of illness. The methodology for developing the system is using waterfall method. The application software used to create this application program is Dreamweaver MX, XAMPP, Adobe Photoshop, MySQL, Opera / Mozilla Firefox. The results of this research is in the form of an application program that can help user to determine the type of central nervous diseases, provide extensive information about central nervous diseases, the treatment and healing therapy




Download Paper
PDF

Publication Date

27/11/2018


ISBN

978-602-53524-0-9


Copyright


© The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/


RSS Feed
Feed

Download Paper

433 times.


Share




Proceeding The 2nd International Conference on Informatics for Development
27 November 2018
ISBN 978-602-53524-0-9
Open Access