Ontology-based Chatbot to Support Monitoring of Server Performance and Security By Rule-base

The server is a computer program or a device that provides functionality for other programs or devices, called "clients". Generally, server computers have many resources that can be used by one or more clients through the network with specific permissions and requirements. Therefore, the s...

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Main Authors: Ishlakhuddin, Fauzan (Author), SN, Azhari (Author)
Other Authors: Fauzan Ishlakhuddin, Universitas Gadjah Mada (Contributor), Azhari SN, Universitas Gadjah Mada (Contributor)
Format: EJournal Article
Published: IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., 2021-04-30.
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LEADER 02577 am a22003133u 4500
001 IJCSS_58588
042 |a dc 
100 1 0 |a Ishlakhuddin, Fauzan  |e author 
100 1 0 |a Fauzan Ishlakhuddin, Universitas Gadjah Mada  |e contributor 
100 1 0 |a Azhari SN, Universitas Gadjah Mada  |e contributor 
700 1 0 |a SN, Azhari  |e author 
245 0 0 |a Ontology-based Chatbot to Support Monitoring of Server Performance and Security By Rule-base 
260 |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,   |c 2021-04-30. 
500 |a https://jurnal.ugm.ac.id/ijccs/article/view/58588 
520 |a The server is a computer program or a device that provides functionality for other programs or devices, called "clients". Generally, server computers have many resources that can be used by one or more clients through the network with specific permissions and requirements. Therefore, the server needs a monitoring system that can monitor server activity and notify if problems occur. This research focuses on developing a notification and question and answer system to connect the network admin with the monitoring system via chatbot. The developed chatbot can send notifications to the admin if an error occurs and can answer questions about the server's condition. The question and answer system developed implements natural language processing for Indonesian. The process of understanding questions is by classifying each word (token) based on language knowledge stored in the ontology. Then the classification results are processed by rule-base to produce conclusions to take monitoring data and compiled into answers. The test results show that the developed system can auto-notify if any problem in a server, and can answer questions by accuracy 95%. 
540 |a Copyright (c) 2021 IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 
540 |a http://creativecommons.org/licenses/by-sa/4.0 
546 |a eng 
690 |a Computer Science 
690 |a Question Answering; Rule-base; Server Monitoring; NLP; Ontology 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 15, No 2 (2021): April; 131-140 
786 0 |n 2460-7258 
786 0 |n 1978-1520 
787 0 |n https://jurnal.ugm.ac.id/ijccs/article/view/58588/31153 
856 4 1 |u https://jurnal.ugm.ac.id/ijccs/article/view/58588  |z Get Fulltext 
856 4 1 |u https://jurnal.ugm.ac.id/ijccs/article/view/58588/31153  |z Get Fulltext