WEB-BASED EXPERT SYSTEM APPLICATION TO RECOMMEND COMPUTER SPECIFICATIONS FOR GAMING USING BACKWARD CHAINING INFERENCE METHOD
Keywords:
expert system, gaming, computer specifications, backward chaining
Abstract
This study aims to design and implement an expert system application to provide minimum computer hardware and operating system requirements, which are capable of running games with certain graphical settings. Backward chaining inference method is used to conclude the output, which the requirements are based on user’s input. The application is made using PHP general-purpose server-side scripting language and MySQL database. By using this application, a user can consult as well as to an expert to know the computer specifications capable of running a game with preferred graphical settings and to estimate the cost to build that computer. This application can also help sellers of computer parts to set price on the custom-built computers, to create category or sales package, as well as to provide information for potential buyers.Downloads
Download data is not yet available.
Published
2017-10-26
How to Cite
Prasetyadi, G. C., & Mahfudin, M. (2017). WEB-BASED EXPERT SYSTEM APPLICATION TO RECOMMEND COMPUTER SPECIFICATIONS FOR GAMING USING BACKWARD CHAINING INFERENCE METHOD. Jurnal Sistem Informasi, 13(2), 110-117. https://doi.org/10.21609/jsi.v13i2.546
Section
Articles
Copyright (c) 2017 Jurnal Sistem Informasi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).