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All Journal JAIS (Journal of Applied Intelligent System) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI EXPLORE JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Teknologi Informasi dan Pendidikan Indonesian Journal of Electrical Engineering and Computer Science EXPLORE Jurnal Komtekinfo SATIN - Sains dan Teknologi Informasi
Yogi Wiyandra
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering

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Journal : JAIS (Journal of Applied Intelligent System)

 1 
Expert System Of Nose Disease With Hybrid Method Yogi Wiyandra; Firna Yenila
Journal of Applied Intelligent System Vol 4, No 2 (2019): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v4i2.3079

Abstract

Nasal disease is a type of disease that is classified as often afflicting someone. And it is not uncommon among people to conduct a direct examination on ENT specialists to find out the type of disease they are experiencing. Thus an alternative is needed to find out early the problems that arise from the nose. The intended alternative is to build a system in the form of an expert system that uses one's expertise in providing knowledge in the form of a nose condition. The system was built using a hybrid method that combines the forward chaining method and the certainty factor. So, the results or knowledge given to the public is confirmed by the percentage given.
Co-Authors Agung Ramadhanu Dodi Guswandi Febri Hadi Firna Yenila Firna Yenila hadi syahputra Irzal Arief Wisky Kurnia, Hezy Marfalino, Hari Musli Yanto Nasution, Annio Indah Lestari Raja Ayu Mahessya Ruri Hartika Zain Suci Wahyuni Wifra Safitri Yenila, Firna Zefri Yenni