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dc.contributor.authorKhairina, Dyna Marisa
dc.contributor.authorHatta, Heliza Rahmania
dc.contributor.authorRustam, Rustam
dc.contributor.authorMaharani, Septya
dc.date.accessioned2020-07-02T03:11:20Z
dc.date.available2020-07-02T03:11:20Z
dc.date.issued2018
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/4670
dc.description.abstractSkin 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.en_US
dc.language.isoenen_US
dc.publisherE3S Web Conf.en_US
dc.relation.ispartofseriesInternational Conference on Energy, Environmental and Information System (ICENIS);
dc.titleAutomation Diagnosis of Skin Disease in Humans using Dempster-Shafer Methoden_US
dc.typeArticleen_US


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