Issue |
MATEC Web Conf.
Volume 218, 2018
The 1st International Conference on Industrial, Electrical and Electronics (ICIEE 2018)
|
|
---|---|---|
Article Number | 02015 | |
Number of page(s) | 7 | |
Section | Control Electronics, Circuits, and Systems | |
DOI | https://doi.org/10.1051/matecconf/201821802015 | |
Published online | 26 October 2018 |
Expert System To Detect Human’s Skin Diseases Using Forward Chaining Method Based On Web Mobile
1
STMIK Nusa Mandiri, Information Technology Program Jakarta, Indonesia
2
STMIK Nusa Mandiri, Information System Program Jakarta, Indonesia
3
AMIK BSI Purwokerto Manajemen Informatic Program Purwokerto, Indonesia
4
ABA BSI Jakarta, English Program Jakarta, Indonesia
*
Corresponding author: jenie.jni@nusamandiri.ac.id
Skin is a sense of touch in humans’ body which one of its functions is to feel the touch. Another function of the skin is to release the residual substances such as sweat. This part of the human body is very sensitive, easy to get hurt, and feels a sense of sensitivity. Human skin consists of epidermis and dermis. Skin diseases can be caused by a decrease in the immune system, allergies, viruses, or other causes. Skin disease is generally caused by a less guarded hygiene, bacteria, viral, allergic reactions, and low body resistance. If the cause of skin disease is only due to a lack of maintaining cleanliness, it can be prevented by changing lifestyles to be cleaner and healthier. Especially in Indonesia which is a tropical country, where the humidity is very high and can increase the development of bacteria on the skin. In another situation, not all people understand skin diseases for treatment or prevention. By the reason, The Forward Chaining Method is made to provide information about diagnoses of several skin diseases and produces conclusions. The existence of this expert system application makes it easy for people to get any information about skin diseases
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.