Pemodelan Topik pada Cuitan tentang Penyakit Tropis di Indonesia dengan Metode Latent Dirichlet Allocation

Jurnal Ilmiah SINUS

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Title Pemodelan Topik pada Cuitan tentang Penyakit Tropis di Indonesia dengan Metode Latent Dirichlet Allocation
 
Creator ridhwanulah, Dziky
Fudholi, Dhomas Hatta
 
Subject topic modeling, tropical diseases, LDA
 
Description Indonesia has a wide area and society. Therefore, a lot of information appear through social media, especially Twitter. This study aims to find out about conversation topics discussed by Indonesian people related to tropical diseases especially leprosy, malaria, and dengue fever. To find out the discussion topics, it can use the modeling topics analysis. One of the methods in topic modeling is Latent Dirichlet Allocation (LDA). Tweet data on tropical diseases in Indonesia was analyzed through this method. The study results showed that LDA was succeed in modeling the trend of Indonesian people's conversation topics related to tropical diseases. It obtained as many as 5 topics with a coherence value of 0.576453. Based on the results of the topic modeling, it can be concluded that the topics are such as the used funds to eradicate malaria and dengue fever, covid-19, blindness and leprosy, and its treatments and preventions.
 
Publisher STMIK Sinar Nusantara
 
Contributor
 
Date 2022-01-14
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

 
Format application/pdf
 
Identifier https://p3m.sinus.ac.id/jurnal/index.php/e-jurnal_SINUS/article/view/589
10.30646/sinus.v20i1.589
 
Source Jurnal Ilmiah SINUS; Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022; 11-22
2548-4028
1693-1173
10.30646/sinus.v20i1
 
Language eng
 
Relation https://p3m.sinus.ac.id/jurnal/index.php/e-jurnal_SINUS/article/view/589/pdf
 
Rights Copyright (c) 2022 Jurnal Ilmiah SINUS
https://p3m.sinus.ac.id/jurnal/e-jurnal_SINUS/
 

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