Proceedings of the First National Seminar Universitas Sari Mulia, NS-UNISM 2019, 23rd November 2019, Banjarmasin, South Kalimantan, Indonesia

Research Article

Expert System for Eye Disease Diagnosis with Best First Search (BFS) Method Using Web-Based Programming

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  • @INPROCEEDINGS{10.4108/eai.23-11-2019.2298406,
        author={Muhammad  Zulfadhilah},
        title={Expert System for Eye Disease Diagnosis with Best First Search (BFS) Method Using Web-Based Programming},
        proceedings={Proceedings of the First National Seminar Universitas Sari Mulia, NS-UNISM 2019,  23rd November 2019, Banjarmasin, South Kalimantan, Indonesia},
        publisher={EAI},
        proceedings_a={NS-UNISM},
        year={2020},
        month={7},
        keywords={bfs expert system eye web programming},
        doi={10.4108/eai.23-11-2019.2298406}
    }
    
  • Muhammad Zulfadhilah
    Year: 2020
    Expert System for Eye Disease Diagnosis with Best First Search (BFS) Method Using Web-Based Programming
    NS-UNISM
    EAI
    DOI: 10.4108/eai.23-11-2019.2298406
Muhammad Zulfadhilah1,*
  • 1: Sari Mulia University, Banjarmasin
*Contact email: zulfadhilah@unism.ac.id

Abstract

Today's computer technology is equipped with various capabilities, for example recognizing human conditions related to health. Eye health or vision is one that must be maintained, some disorders of the eyes / vision often occur, ranging from mild disorders to severe disorders that can lead to blindness in patients. In this paper, the author will discuss solutions for early eye diagnosis in patients with visual impairments by using a web-based expert system application combined with the Best First Search method based on the results of research conducted at a regional hospital. The results obtained in this study state that the solution offered can be used by sufferers in early detection of eye / vision problems based on the rules that have been made by eye disease experts