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

Research Article

The Design of Expert System Applications for Early Detection of Prostate Disease Using Forward Chaining Method

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  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2297772,
        author={Neny  Rosmawarni and Choo Yun Huoy and Zeratul Izzah binti Mohd Yusoh and Annissa  Octaviani},
        title={The Design of Expert System Applications for Early Detection of Prostate Disease Using Forward Chaining Method},
        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={expert system forward chaining prostate disease certainty factor android prototype},
        doi={10.4108/eai.11-7-2019.2297772}
    }
    
  • Neny Rosmawarni
    Choo Yun Huoy
    Zeratul Izzah binti Mohd Yusoh
    Annissa Octaviani
    Year: 2020
    The Design of Expert System Applications for Early Detection of Prostate Disease Using Forward Chaining Method
    ICONISTECH-1
    EAI
    DOI: 10.4108/eai.11-7-2019.2297772
Neny Rosmawarni1,*, Choo Yun Huoy1, Zeratul Izzah binti Mohd Yusoh1, Annissa Octaviani2
  • 1: Universiti Teknikal Malaysia Melaka
  • 2: Institut Sains dan Tekonologi Nasional
*Contact email: neny@istn.ac.id

Abstract

The focus of this research is on prostate disease which is one of the most common diseases in men in the world. The prostate is part of the male reproductive system, which includes the penis, prostate, and testicles. If the prostate is too large or has a problem, it can cause health problems. One of the health problems in the prostate is a benign prostate gland disease, also called benign prostatic hyperplasia (BPH) and prostate cancer. This study aims to design application of expert systems for early detection of prostate diseases, so that it can help and facilitate users who want to know information about prostate diseases. The method used using the forward chaining method is based on the Knowledge Base System. The results obtained will be created application design expert system that can detect prostate disease early in the form of prototype in Android application using Java programming language and Firebase database.