{"id":9171,"date":"2020-06-15T08:44:25","date_gmt":"2020-06-15T01:44:25","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?p=9171"},"modified":"2021-03-26T18:01:29","modified_gmt":"2021-03-26T11:01:29","slug":"dr-ayu-memaparkan-pengembangan-covid-19-social-media-monitoring-dan-chatbot-triase-untuk-rumah-sakit","status":"publish","type":"post","link":"https:\/\/stei.itb.ac.id\/en\/dr-ayu-memaparkan-pengembangan-covid-19-social-media-monitoring-dan-chatbot-triase-untuk-rumah-sakit\/","title":{"rendered":"Dr. Ayu Memaparkan Pengembangan COVID-19 Social Media Monitoring dan Chatbot Triase untuk Rumah Sakit"},"content":{"rendered":"
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BANDUNG, itb.ac.id - Humans, as social beings, engage in one fundamental activity: verbal and nonverbal (written) communication. The internet's presence in our daily lives has made communication easier, allowing us to receive information or news quickly, especially during the COVID-19 pandemic that has been occurring in Indonesia since March 2020.<\/div>\n
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One of the technologies that processes text or sound written in human language is also called\u00a0Natural Language Processing<\/i>\u00a0(NLP). The ITB Artificial Intelligence Center held a webinar series 3 entitled \"AI-NLP for Communication During the Pandemic\" presented by lecturers from the Informatics Engineering Study Program, School of Electrical Engineering and Informatics (STEI) ITB. Dr. Eng. Ayu Purwarianti, S.T., M.T., <\/a>on June 5, 2020 on the ITB Artificial Intelligence Center YouTube channel.<\/div>\n
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Briefly, Ayu explained that the NLP process includes input, processing, and output. When a person speaks, speech recognition recognizes the voice and then processes it through NLP. Similarly, with documents,\u00a0website<\/i>, social media. In the process, NLP has 3 main components, namely natural language understanding (converting text or voice into a form that can be understood by the computer),\u00a0natural language generation<\/i>\u00a0(outputting text in natural language like responses\u00a0.<\/i>), or\u00a0text analytics<\/i>\u00a0(processing data with output in the form of\u00a0dashboard\u00a0<\/i>or\u00a0scoring<\/i>).<\/div>\n
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\u201cThe benefit of NLP technology is to improve user experience in terms of\u00a0spelling checker, word or text recommendation<\/i>, become\u00a0automate support<\/i>\u00a0(berupa\u00a0.<\/i>), and become\u00a0search engine<\/i>\u00a0And\u00a0text translation<\/i>\u00a0which we often use,\" explained Ayu.<\/div>\n
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In her webinar, Ayu discussed\u00a0.\u00a0<\/i>and media monitoring. Ayu explained that the development\u00a0.\u00a0<\/i>done because people are used to using it\u00a0chat application<\/i>\u00a0(WhatsApp, LINE, Telegram, and others). \u201cPosition\u00a0.\u00a0<\/i>\"It is very strategic and has many advantages, such as 24\/7 availability, and is useful for agencies to disseminate information (promotional),\" he said.<\/div>\n
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He explained that currently\u00a0.\u00a0<\/i>still has several weaknesses such as the ability to understand complex statements, the need for a large database of question-answer pairs, and less natural interactions.\u00a0.<\/i>This study proposes several solutions to overcome these weaknesses.<\/div>\n
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For the first weakness, Ayu continued, the proposed solution is with an approach\u00a0hybrid<\/i>, namely when\u00a0.\u00a0<\/i>can automatically redirect questions to a human agent when\u00a0.\u00a0<\/i>realized that he did not have\u00a0knowledge\u00a0<\/i>on user questions. For the second weakness, the proposed solution is with a \u201clearning\u201d mechanism from human agents in the approach\u00a0hybrid\u00a0<\/i>and database input in the form of documents, not a list of questions and answers. As for the third weakness, the proposed solution is to add the capability\u00a0.\u00a0<\/i>with speech recognition technology and the addition of a word normalization module to handle slank words.<\/div>\n
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ITB's Artificial Intelligence Center itself has developed\u00a0Chatbot Frequently Asked Questions<\/i>\u00a0(FAQs) regarding COVID-19 by providing accurate and valid information about the development of COVID-19 in Indonesia and globally. In addition, ITB is collaborating with the Faculty of Medicine, University of Indonesia, to develop\u00a0chatbot triase<\/i>\u00a0COVID-19.\u00a0Chatbot\u00a0<\/i>This is useful as an initial health check for patients in hospitals so that it can minimize medical staff exposure to COVID-19 from patients.\u00a0Chatbot\u00a0<\/i>will classify patient emergencies into mild, moderate and severe groups so that they can be handled directly according to their group.<\/div>\n
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ITB's second research is COVID-19\u00a0Social Media Monitoring<\/i>\u00a0Accessible at https:\/\/covid19-socmed.id\/. This platform aims to monitor the development of COVID-19 issues from social media (Twitter and Instagram) through analysis using related keywords, sentiment, and hoax classifications circulating in Indonesia. The platform's NLP engine, a text analytics engine, has three main components:\u00a0concept extraction, sentiment classification<\/i>.\u00a0hoax classification<\/i>The output from this platform is data presented in the form of a dashboard.<\/div>\n
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By using certain keywords, COVID-19\u00a0Social Media Monitoring<\/i>\u00a0can determine the conversation trends of Indonesian society. \"We analyze the use of\u00a0keyword\u00a0<\/i>which was frequently used by Indonesians before and during the implementation of Large-Scale Social Restrictions (PSBB). After that, by using\u00a0sentiment analysis<\/i>\u00a0\"Then, we can determine whether the topic has a negative, positive, or neutral response based on public response. Furthermore, we can also determine the probability level of hoaxes on a topic,\" Ayu explained.<\/div>\n
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Other ITB research is\u00a0Hoax Classification<\/i>. Hoax classification requires a database of hoaxes and facts as the initial basis for checking whether a text can be classified as a hoax or a fact. Compared to NLP for English, Ayu explained that the challenge in developing NLP for Indonesian is\u00a0grammar\u00a0<\/i>And\u00a0mixing language<\/i>\u00a0in a single sentence. \"Indonesians are accustomed to using more than one language when communicating, including within a single sentence. Furthermore, grammatically, we can understand the meaning of a statement written out of SPOK order,\" he said.<\/div>\n
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*The webinar \u201cAI-NLP for Communication During the Pandemic\u201d can be watched via the following link:\u00a0<\/i>https:\/\/www.youtube.com\/watch?v=rUTcTrzAVVw&t=1519s<\/i><\/a><\/div>\n
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Reporter: Billy Akbar Prabowo (Metallurgical Engineering, 2016). This news was previously featured on the ITB website.<\/a><\/div>\n
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BANDUNG, itb.ac.id – Manusia sebagai makhluk sosial melakukan satu hal yang mendasar yaitu berkomunikasi secara verbal maupun nonverbal (tulisan). Adanya internet di kehidupan kita sehari-hari membuat berkomunikasi menjadi lebih mudah […]<\/p>\n","protected":false},"author":1,"featured_media":9172,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[403,19,248,917],"tags":[921],"class_list":["post-9171","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artikel-opini","category-people-2","category-dosen","category-kk-informatika","tag-nlp"],"_links":{"self":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/9171","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/comments?post=9171"}],"version-history":[{"count":0,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/9171\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/media\/9172"}],"wp:attachment":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/media?parent=9171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/categories?post=9171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/tags?post=9171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}