Design and Application of Detection Damage Hardware to Your Computer with Certainty Factor
Fitri Ayu1, Dwi Sapta Aryatiningsih2, Ambiyar3, Fahmi Rizal4, Anita Febrianie5
1Fitri Ayu*, Doctoral Student of Technology and Vocational Education, Universitas Negeri Padang – Indonesia and Lecturer of Information Management, AMIK Mahaputra Riau – Indonesia.
2Dwi Sapta Aryatiningsih, Doctoral Student of Technology and Vocational Education, Universitas Negeri Padang – Indonesia and Lecturer of the Study Program of Public Health, STIKes Payung Negeri Pekanbaru – Indonesia.
3Ambiyar, Senior lecturers/professors of Technology and Vocational Education, Universitas Negeri Padang – Indonesia.
4Fahmi Rizal, Senior lecturers/professors of Technology and Vocational Education, Universitas Negeri Padang – Indonesia.
5Anita Febriani, Lecturer of Information Management, AMIK Mahaputra Riau – Indonesia.
Manuscript received on May 28, 2021. | Revised Manuscript received on June 16, 2021. | Manuscript published on June 30, 2021. | PP: 28-31 | Volume-5 Issue-10, June 2021. | Retrieval Number: 100.1/ijmh.J13280651021 | DOI: 10.35940/ijmh.J1328.0651021
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this study, an expert system is used to detect symptoms of damage to computer hardware. With the application of certainty factor models, it is expected to be able to detect symptoms of damage to computer hardware starting with the symptoms of damage from the computer along with solutions for handling the damage. This study aims to produce a fault diagnosis application on web-based computer hardware. This application is expected to make it easier for users to find solutions regarding experienced hardware problems. This expert system application is made using the certainty factor method so that the resulting diagnosis will display symptoms that have more certainty factors. This application was designed using UML and the PHP programming language with black-box testing. The study was conducted by collecting data through literature study, browsing, and interviews. The research method used is the waterfall method. The time of the research is from September 2019 to February 2020. This research is in an application to diagnose damage to computer hardware. Computer Hardware Damage Detection Application can be a guide for computer users in overcoming the damage to hardware with certainty factor methods and can help users in caring for computer hardware so it is not easily damaged.
Keywords: Hardware, Web, PHP, Certainty Factor.