Akademika
Vol 11 No 1 (2018): Jurnal Akademika

SISTEM PAKAR DIAGNOSA PENYAKIT KULIT MENGGUNAKAN FORWARD CHAINING: Skin Disease, Classification, Binary Decision Tree, Support Vector Machine

-, Elzas (Unknown)



Article Info

Publish Date
22 Aug 2018

Abstract

The skin is an organ in the human body is very important because it lies on the outside of the body that serves to receive stimuli such as touch, pain and other influences from the outside. Skin disease is one of the most common diseases in tropical countries such as Indonesia. The lack of knowledge about the type of skin disease and do not know how to prevent it cause a person can get acute skin disease. So with the help of computer technology is expected to attack the skin of the human body can be detected early and it can minimize the occurrence of more dangerous diseases. This researchaims to determine the classification of skin diseases in humans using the method of Binary Decision Tree Support Vector Machine (BDTSVM) Based on the test results obtained the best accuracy of 97.14% with SVM parameter test that is the value of λ (lambda) = 0,5, C (complexity) = 1, constant γ (gamma) = 0,01, and itermax = 10.

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Journal Info

Abbrev

akademika

Publisher

Subject

Computer Science & IT

Description

Jurnal Akademika merupakan media publikasi hasil penelitian dari para akademisi serta praktisi yang berkenaan dengan teknologi informasi dengan beberapa topik bahasan meliputi sistem informasi, jaringan komputer, keamanan sistem, multimedia, kecerdasan buatan, dan sistem pakar. Jurnal Akademika ...