SISTEM PAKAR DIAGNOSA PENYAKIT KULIT WAJAH DENGAN METODE CERTAINTY FACTOR PADA KLINIK SKIN RACHEL
Abstract
Facial skin is a window that can help nature detect abnormalities or other diseases in the body. With this effect, we are easily exposed to several diseases or disorders of the facial skin because facial skin is the most sensitive part compared to other parts of the skin. The purpose of this research is to design and implement an expert system that can provide information or initial diagnosis of types of facial skin diseases. The method used in making this expert system is the certainty factor method and using the extreme programming (XP) method. The end result of making this expert system is to help people diagnose early types of facial skin diseases that are experienced so that the treatment can be easily identified
Downloads
References
[2] Sukamto, & Shalahuddin. Analisa dan Desain Sistem Informasi. Yogyakarta: Andi Offset. 2013
[3] Rika Rosnelly. Sistem Pakar Konsep Dan Teori. Andi. Universitas Potensi Utama. 2012
[4] Riandari, Fristi Sistem Pakar
Mendiagnosa Penyakit Kulit Wajah Menggunakan Metode Certainty Factor. STMIK Pelita Nusantara. 2017
[5] Sri Yasita, Yohana Dewi Lulu, & Rika
Perdana Sari. Sistem Pakar Penyakit Kulit Pada Manusia Menggunakan Metode Certainty Factor Berbasis Web. Seminar nasional teknologi informasi, komunikasi dan industri (SNTIKI). 4, 2-3. 2012
[5] Ketut Arlin Aryani, Dewa Gede Hendra
Divayana, & I Made Agus Wirawan. Sistem Pakar Diagnosis Penyakit Jerawat Di Wajah Dengan Metode Certainty Factor. Universitas Pendidikan Ganesha Singaraja. 2017
[6] Khairina Eka Setyaputri, Abdul Fadlil, dan Sunardi. Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT. Universitas Ahmad Dahlan. 2018
[7] Rismawati. Sistem Pakar Untuk
Mendiagnosa Penyakit Kulit Pada Wajah. Universitas Islam Negeri Alauddin Makassar. 2018
[8] Ardhy, Ferly. "Implementasi Sistem Pakar Untuk Mendiagnosa Penyakit Tulang Pada Manusia Menggunakan Metode Forward Chaining." Jurnal Informasi Dan Komputer 7.1 (2019): 29-34.