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All Journal International Journal of Electrical and Computer Engineering JTEV (Jurnal Teknik Elektro dan Vokasional Elkom: Jurnal Elektronika dan Komputer Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING CSGTEIS 2013 Journal of Telematics and Informatics Jurnal Teknologi Elektro Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika Elektrika Angkasa: Jurnal Ilmiah Bidang Teknologi JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Indonesian Journal of Community Services Jurnal Manajemen Informatika dan Sistem Informasi Journal of Appropriate Technology for Community Services Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Journal of Robotics and Control (JRC) Jurnal Abdi: Media Pengabdian Kepada Masyarakat Medika Teknika : Jurnal Teknik Elektromedik Indonesia JTEIN: Jurnal Teknik Elektro Indonesia Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat JAST International Journal of Advanced Health Science and Technology INTERNATIONAL JOURNAL OF MECHANICAL COMPUTATIONAL AND MANUFACTURING RESEARCH Medika Trada Jurnal Ilmiah Teknik Elektro Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Prosiding Seminar Riset Mahasiswa Jurnal Pengabdian Masyarakat dan Riset Pendidikan Switch: Jurnal Sains dan Teknologi Informasi Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika International Journal of Information Engineering and Science LANCAH Jurnal Inovasi dan Tren
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Journal : International Journal of Information Engineering and Science

Expert System for Autoclave Damage Detection Using the Fuzzy Logic Method Ilham M Rusdiyanto; Sri Arttini Dwi Prasetyowati; Eka Nuryanto Budisusila
International Journal of Information Engineering and Science Vol. 1 No. 4 (2024): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v1i4.124

Abstract

As a resource supporting public health services, management of electromedical equipment must be carried out quickly, accurately and integratedly so that function, safety, security and benefits can be optimized. The management of electromedical equipment is regulated in the Republic of Indonesia Minister of Health Regulation Number 65 of 2016 concerning Electromedical Service Standards. The expected result of this research is an expert system that can accurately detect damage to sterile electromedical equipment, especially autoclaves. This expert system can then assist electromedical technicians in finding damage and as an assessment in making decisions for appropriate and validated actions to be taken. From the results of testing and analysis of the expert system for detecting damage to Autoclaves using the fuzzy logic method, the following conclusions were obtained. The damage detection expert system application in the Autoclave has been proven to be able to provide 100% diagnosis results. This system can assess the degree of damage of 11.6235981%. based on the input symptoms provided, thus providing decisions that are close to the actual conditions. The expert system built is able to speed up the damage detection process compared to manual methods. This helps in taking quicker action to prevent further damage to the autoclave.