SENTIMEN ANALISIS TERHADAP KENAIKAN TARIF BPJS KESEHATAN MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE
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Institusion
STMIK Bumi Gora
Author
Dharmapatni, Putu Mega Nirmala
Subject
L Education (General)
Datestamp
2020-08-28 01:58:06
Abstract :
Social networking is a communication tool that is very popular among the public, one of them is twitter. The number of tweets is growing rapidly because its simplicity and ease of use is the reason Twitter is more popular among Indonesians citizen. Twitter is widely used as a promotional medium of products, advertisements, political campaigns and as a means of conveying related criticisms, suggestions, issues and opinions of a public nature such as netizen views on the government's new policies and so on. One of the government's policies that is being discussed by netizens on social network twitter is the tariff on bpjs health. BPJS Kesehatan (Health and Social Security Agency) is a state-owned enterprise, the large number of BPJS users causes BPJS to provide feedback services to users to know the user's response to BPJS services. Sentiment analysis or so-called mining if there is anything in the analysis of Asia or sekeke people about a problem that is available to see the community's response to the problem. The SVM method is one of the good methods for use in a lot of calcification data, especially when it comes to analytical sentiment. In this study will be conducted public analysis through twitter media against bpjs health tariff using SVM method to see the public against the same policy.
Social networking is a communication tool that is very popular among the public, one of them is twitter. The number of tweets is growing rapidly because its simplicity and ease of use is the reason Twitter is more popular among Indonesians citizen. Twitter is widely used as a promotional medium of products, advertisements, political campaigns and as a means of conveying related criticisms, suggestions, issues and opinions of a public nature such as netizen views on the government's new policies and so on. One of the government's policies that is being discussed by netizens on social network twitter is the tariff on bpjs health. BPJS Kesehatan (Health and Social Security Agency) is a state-owned enterprise, the large number of BPJS users causes BPJS to provide feedback services to users to know the user's response to BPJS services. Sentiment analysis or so-called mining if there is anything in the analysis of Asia or sekeke people about a problem that is available to see the community's response to the problem. The SVM method is one of the good methods for use in a lot of calcification data, especially when it comes to analytical sentiment. In this study will be conducted public analysis through twitter media against bpjs health tariff using SVM method to see the public against the same policy.
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