Proceedings of the 5th International Conference on Innovation in Education, Science, and Culture, ICIESC 2023, 24 October 2023, Medan, Indonesia

Research Article

Computer Malfunction Early Detection System Design

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  • @INPROCEEDINGS{10.4108/eai.24-10-2023.2342109,
    author={Lisa Melvi Ginting and Ressy Dwitias Sari and Azmi Rizki Lubis and Vivi  Ramayanti Harahap and Mhd. Dominique  Mendoza and Irma Permata Sari},
    title={Computer Malfunction Early Detection System Design},
    proceedings={Proceedings of the 5th International Conference on Innovation in Education, Science, and Culture, ICIESC 2023, 24 October 2023, Medan, Indonesia},
    publisher={EAI},
    proceedings_a={ICIESC},
    year={2024},
    month={1},
    keywords={computer malfunction expert system five planes method user  experience},
    doi={10.4108/eai.24-10-2023.2342109}
}
  • Lisa Melvi Ginting
    Ressy Dwitias Sari
    Azmi Rizki Lubis
    Vivi Ramayanti Harahap
    Mhd. Dominique Mendoza
    Irma Permata Sari
    Year: 2024
    Computer Malfunction Early Detection System Design
    ICIESC
    EAI
    DOI: 10.4108/eai.24-10-2023.2342109
Lisa Melvi Ginting1,*, Ressy Dwitias Sari2, Azmi Rizki Lubis3, Vivi Ramayanti Harahap4, Mhd. Dominique Mendoza5, Irma Permata Sari6
  • 1: Mechanical Engineering Education Department Of Faculty Of Engineering of Universitas Negeri Medan, Indonesia
  • 2: Informatics And Computer Engineering Education Of Faculty Of Engineering of Universitas Negeri Jakarta, Indonesia
  • 3: Electrical Engineering Of Faculty Of Engineering Of Universitas Negeri Medan, Indonesia
  • 4: Educational Development And Quality Assurance Institute Of Universitas Negeri Medan, Indonesia
  • 5: Information Technology And Computer Education Of Faculty Of Engineering Of Universitas Negeri Medan, Indonesia
  • 6: Information Technology Systems Of Faculty Of Engineering Of Universitas Negeri Medan, Indonesia
*Contact email: lisamelvi99@gmail.com

Abstract

System detection is part of the expert system. An expert system is an application in a computer that aims to help make decisions or aims to solve problems in a specific field. Diagnosing computer failure is a time-consuming and expensive task to do manually. Intelligent systems called expert systems were introduced to develop hardware failure diagnoses for any computer system. Problems with PC components can be detected by the sound coming out of the spiker when the BIOS performs a POST (Power On Self-Test). It sounds different depending on the problem. The purpose of this work is to use the five planes method, namely strategic, scope, structure, skeleton, and surface planes, to the design of a computer damage early detection system based on user experience. This article leads to the construction of an interface for a computer damage early detection system based on beep.

Keywords
computer malfunction expert system five planes method user experience
Published
2024-01-25
Publisher
EAI
http://dx.doi.org/10.4108/eai.24-10-2023.2342109
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