This study focuses on the development of an expert system that contains the knowledge of an expert whois believed to be the truth so as to help network officers to identify and address the disruption of Internet network services quickly and accurately. The stages of the expert system developed are the identification of internet network problems, the search for sources of knowledge, the acquisition of knowledge with 10 interruptions and 21 causes of interference from experts, knowledge

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... tion, inference engine development using j48 classification algorithms with the help of weka applications, and system implementation. The system has been successfully created with an inference engine accuracy of 91.8%.