Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia

Research Article

Web-Based Application of Fuzzy Inference System to Diagnose Disease

Download395 downloads
  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2297420,
        author={Chairisni  Lubis and Agus Budi Dharmawan and Ery  Dewayani and Novario Jaya Perdana and Yosua Andre Setiawan},
        title={Web-Based Application of Fuzzy Inference System to Diagnose Disease},
        proceedings={Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia},
        publisher={EAI},
        proceedings_a={ICONISTECH-1},
        year={2020},
        month={11},
        keywords={disease fuzzy inference system fuzzy theory},
        doi={10.4108/eai.11-7-2019.2297420}
    }
    
  • Chairisni Lubis
    Agus Budi Dharmawan
    Ery Dewayani
    Novario Jaya Perdana
    Yosua Andre Setiawan
    Year: 2020
    Web-Based Application of Fuzzy Inference System to Diagnose Disease
    ICONISTECH-1
    EAI
    DOI: 10.4108/eai.11-7-2019.2297420
Chairisni Lubis1,*, Agus Budi Dharmawan1, Ery Dewayani1, Novario Jaya Perdana1, Yosua Andre Setiawan1
  • 1: Fakultas Teknologi Informasi, Universitas Tarumanagara
*Contact email: chairisnil@fti.untar.ac.id

Abstract

In Artificial Intelligence, Fuzzy Theory has the ability to solve the problem of uncertainty in a data. In expert systems, the problem of data uncertainty in the form of facts in the acquisition of knowledge becomes very important if you want to produce a solution. In diagnosing diseases, a data collection is used to help experts determine the disease suffered by patients. Difficulties are found when data analyzed by an expert system has many slices between one disease and another. Therefore to increase the level of success of expert systems for diagnosing diseases, Fuzzy theory is used to represent the level of symptoms of the disease. So that the Application Program designed can be used by many users, the Application Program is designed based on the Web. In the testing phase of the Fuzzy Inference System application to diagnose this disease it can be concluded that the functions in each module and button in this application program have functioned according to the design that has been made.