Expert System for Diagnosing Cataract Using Forward Chaining Method
DOI:
https://doi.org/10.35134/jcsitech.v9i1.56Keywords:
Expert System, Forward Chaining, Cataract Disease, ExpertAbstract
Current technological developments have undergone many very rapid changes, along with human needs that are increasingly numerous and complex . Computers that were originally only used by academics, are now widely used in various fields, such as business, health, education, games and so on. This encourages experts to further develop computer technology so that it can help human work or even exceed human work capabilities. An expert system is a system that seeks to adopt human knowledge into computers that are designed to represent the ability to solve problems like an expert. With this expert system, ordinary people can solve their problems or just look for quality information that can only be obtained with the help of experts in their fields. This research will be carried out using the forward chaining method , the Forward Chaining method is one of the two methods that are often used in making expert systems. By using the Forward Chaining method . obtained a value of similarity with previous cases of disorders experienced by cataract patients. This Expert System program is implemented in the PHP programming language with a Web-based MySQL database. As the final result, the conclusion is that this system is easy to use (user-friendly) and easy to develop and useful for those who want to know about cataracts
References
Putra, BP, & Yunus, Y. (2021). Expert System in Diagnosing Eye Diseases Using the Forward Chaining Method. Journal of Information and Technology, 128-133. https://doi.org/10.37034/jidt.v3i3.122
Suminten., & Rani. (2018). Laptop Damage Diagnostic Expert System Using Forward Chaining Method. RESTI JOURNAL. 2(3). 604-610. http://doi.org/10.29207/resti.v2i3.468
Sari, M., Deficit, S. & Nurcahyo, GW (2020). Disease Detection Expert System in Children Using Forward Chaining Method. Journal of Information Systems and Technology. 2(4). 130-135.DOI: https://doi.org/10.37034/jsisfotek.v2i4.114
Wisky, IA, & Akhiyar, D. (2019). Web-Based Expert System for Diagnosing Bone Diseases Using the Forward Chaining Method. Journal of Science and Technology. 19(1).DOI: http://dx.doi.org/10.36275/stsp.v19i1.126 .
Nugroho, FA (2018). Design of an Expert System for Diagnosing Heart Disease with the Forward Chaining Method. Journal of Informatics, University of Pamulang. 3(2).DOI: http://dx.doi.org/10.32493/informatika.v3i2.1431 .
Wagner, WP (2017). Trends in expert system development: A longitudinal content analysis of over thirty years of expert system case studies. Expert systems with applications, 76, 85-96. https://doi.org/10.1016/j.eswa.2017.01.028
Amperawansyah, R., & Putri, DP (2022). Selection of Smartphone Type According to Needs Using Forward Chaining and Decicion Tree Methods. INOVTEK Polbeng-Informatics Series, 7(1), 156-168. https://doi.org/10.35314/isi.v7i1.2402
Ramadhani, TF, Fitri, I., & Handayani, ETE (2020). Web-Based ISPA Disease Diagnostic Expert System with Forward Chaining Method. JOINTECS. 5(2),81-90.DOI: https://doi.org/10.31328/jointecs.v5i2.1243 .
Supartini, W., & Hindarto, H. (2016). Web-Based Expert System Using Forward Chaining Method for Early Diagnosing Tuberculosis in East Java. Kinetic: Game Technology, Information Systems, Computer Networks, Computing, Electronics, and Control, 147-154. https://doi.org/10.22219/kinetik.v1i3.123
Wisky, IA, & Akhiyar, D. (2019). Web-Based Expert System for Diagnosing Bone Diseases Using the Forward Chaining Method. J. Science and Technology. J. Science and Applications. Technol. Ind, 19(1), 46. https://doi.org/10.36275/stsp.v19i1.126
Samsudin, S., & Indriani, R. (2018). Application of Expert System for Early Diagnosis of Gastric Disease Using Forward Chaining Method. Systemation: Journal of Information Systems, 7(1), 30-37.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Journal of Computer Scine and Information Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.