Design and Application of Detection Damage Hardware to Your Computer with Certainty Factor-Reference-Cited by-同舟云学术

Design and Application of Detection Damage Hardware to Your Computer with Certainty Factor

Published:2021-06-30 Issue:10 Volume:5 Page:28-31
ISSN:2394-0913
Container-title:Regular issue
language:en
Short-container-title:IJMH

Author:

Ayu Fitri¹,Aryatiningsih Dwi Sapta²,. Ambiyar³,Rizal Fahmi⁴,Febriani Anita⁵

Affiliation:

1. Doctoral Student of Technology and Vocational Education, Universitas Negeri Padang - Indonesia and Lecturer of Information Management, AMIK Mahaputra Riau - Indonesia.

2. 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.

3. Senior lecturers/professors of Technology and Vocational Education, Universitas Negeri Padang - Indonesia.

4. Senior lecturers/professors of Technology and Vocational Education, Universitas Negeri Padang.

5. Lecturer of Information Management, AMIK Mahaputra Riau - Indonesia.

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.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Reference21 articles.

1. Y.K Dwivedi, L. Hughes, E. Ismagilova, G. Aarts, C. Coombs, T. Crick, and M.D. Williams. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 2019. 101994.

2. P. Stone, R. Brooks, E. Brynjolfsson, R. Calo, O. Etzioni, G. Hager, and A. Teller. Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence. 2016.

3. M. Satyanarayanan, M. Pervasive computing: Vision and challenges. IEEE Personal communications, 2001. 8(4), 10-17.

4. M.G. Kibria, K. Nguyen, G.P. Villardi, O. Zhao, K. Ishizu, and F. Kojima. Big data analytics, machine learning, and artificial intelligence in next-generation wireless networks. IEEE access, 2018. 6, 32328-32338.

5. A.E. Saputri, N. Sevani, F. Saputra, and R.K. Sali. Using Certainty Factor Method to Handle Uncertain Condition in Hepatitis Diagnosis. ComTech: Computer, Mathematics and Engineering Applications, 2020. 11(1), 1-10.