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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 Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi 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 Journal of Innovative and Creativity 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
Eka Nuryanto Budi Susila
Universitas Islam Sultan Agung
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Journal : International Journal of Information Engineering and Science

 1 
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. 2 No. 1 (2025): February : 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

The reliability of sterilization equipment, such as autoclaves, is essential to ensure patient safety, infection control, and operational continuity in healthcare facilities. Damage or malfunction of autoclaves may disrupt sterilization processes and pose significant risks to medical services. This study aims to develop an expert system for autoclave damage detection using the fuzzy logic method to support faster and more accurate diagnostic decision-making. The proposed system applies fuzzy inference to evaluate the level of damage based on input symptoms provided by users. By handling uncertainty and varying symptom intensities, the fuzzy logic approach enables proportional assessment rather than rigid rule-based classification. The system was designed through knowledge acquisition from technical experts and implemented using fuzzy membership functions and inference rules to determine damage severity levels. Experimental testing was conducted to evaluate system performance and diagnostic accuracy. The results indicate that the expert system successfully generated diagnosis outputs for all tested scenarios, achieving functional diagnostic accuracy within the defined test cases. The system was also able to calculate a quantified damage severity value of 11.6235981% based on the given symptoms, demonstrating its capability to assess damage levels numerically and objectively. Furthermore, the developed system significantly reduces the time required for damage detection compared to manual diagnostic procedures. Automating the evaluation process, it assists electromedical technicians in identifying faults more efficiently and taking preventive or corrective actions promptly. Overall, the implementation of a fuzzy logic-based expert system provides an effective, accurate, and practical solution for improving autoclave maintenance management and supporting healthcare service reliability.
Co-Authors Achmad Rizal Afifudin, Muhammad Agung Suryowibowo Agus Adhi Nugroho Agus Adhi Nugroho Agus Suprajitno Amir Cahyadi Andi Riansyah Arief Marwanto Arifin, Bustanul Ary Sulistyo Utomo Bhakti Yudho Suprapto BUDI UTOMO Bustanul Arifin Bustanul Arifin Bustanul Arifin Dedi Nugroho Dedy Iskandar Dedy Kurniadi Deki Renjaka Ardiyanto Dita Riyani Erwanto, Danang Fadillah, Yudar Fernanda, Muhammad Rofi Hafiz Dwi Febi Eriyanto Hapsari, Jenny Putri Herjuna, Silvester Adi Surya Ilham M Rusdiyanto Imam Much Ibnu Subroto Indra Ava Dianta Jenny Putri Hapsari Jenny Putri Hapsari Jenny Putri Hapsari Mochtar Yahya Mohamad Sofie Muhamad Haddin Muhammad Khosyi in Muhammad Khosyi'in Muhammad Khosyi'in Muhammad Khosyi'in Muhammad Khosyi’in Munaf Ismail Munaf Ismail, Munaf Nazila, Millati Nikmatul Azizah Novita Popi Wulandari Nugraha, Adityakta Pradipta, Ivan Ade Rafi Wicaksono Randy Ilhamzah Ris Ardianto Rofik Widdayanto Rustiana Rustiana Sakti, Ale Septila Salma Ashila Firdaus Sri Arttini Dwi Prasetyawati Sugeng Santoso Sugeng Santoso Suryani Alifah Vugar Abdullayev Yofanda, Rani Thufaila Yudistira Marsya Puvindra Zainuddin Nawawi