Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/4670
Title: Automation Diagnosis of Skin Disease in Humans using Dempster-Shafer Method
Authors: Khairina, Dyna Marisa
Hatta, Heliza Rahmania
Rustam, Rustam
Maharani, Septya
Issue Date: 2018
Publisher: E3S Web Conf.
Series/Report no.: International Conference on Energy, Environmental and Information System (ICENIS);
Abstract: Skin disease is an infectious disease that is common in people of all ages. Disorders of the skin often occur because there are factors, among others, are climate, environment, shelter, unhealthy living habits, allergies and others. Skin diseases in Indonesia are mostly caused by bacterial, fungal, parasitic, and allergies. The objective of the research is to diagnose skin diseases in humans by using the method of making decision tree then performing the search by forward chaining and calculating the probability value of Dempster-Shafer method. The results of research in the form of an automated system that can resemble an expert in diagnosing skin disease accurately and can help in overcoming the problem of skin diseases.
URI: http://repository.unmul.ac.id/handle/123456789/4670
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