LINE Chatbot For Covid-19 Wellness Support using Sentence Similarity Measurement
2022 International Conference on Electrical Engineering and Informatics, ICELTICs 2022
; 2022-September:147-152, 2022.
Article
in English
| Scopus | ID: covidwho-2136241
ABSTRACT
The development of Mobile Applications in Indonesia is proliferating, especially in the development of Information Technology (IT) through social media and Instant Messaging (IM). The chatbot feature in some IMs is used daily to obtain information, one of which is LINE Messenger. Based on a survey conducted by authors to 221 respondents, the average number of respondents was 75.1% who were LINE users. In addition, the Covid-19 outbreak has hit the world. Covid-19 is a pandemic that is happening in many countries around the world. Therefore, many people are worried about the impact, and the authority must be ready to overcome the problem caused by this. Various research and collaborative efforts for Covid-19 wellness support by utilizing IT were conducted. This paper reports the use of LINE Chatbot as a platform to support the Covid-19 wellness program with the Sentence Similarity Measurement method. In addition to the chatbot, we created a website to make it easier for users to access the chatbot and obtain information generated from user queries. The accuracy rate of the SSM method for the Covid-19 chatbot is 85.71% in responding to user natural language questions. © 2022 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2022 International Conference on Electrical Engineering and Informatics, ICELTICs 2022
Year:
2022
Document Type:
Article
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