Research Article
The Design of Expert System Applications for Early Detection of Prostate Disease Using Forward Chaining Method
@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
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.
