Abstract
Nowadays, the internet has increased the amount of information stored and accessed through the web at a very fast speed. The internet can be a place to express opinions on health topics, politics, companies, and others. Many social media are used by the people of Lampung in expressing opinions and seeking information. Twitter is one of the communication media that is in great demand by the public. There are various kinds of topics discussed by Twitter users, one of the topics that are currently being discussed is the Lampung Health Social Security Administration Agency (BPJS). Health is also a very important thing and is still a conversation that is often discussed anywhere and anytime. BPJS Health helps the community in overcoming a declining economy, with BPJS Health, the community does not have to pay for medical expenses. Therefore, the service from BPJS Kesehatan Lampung will be carried out by sentiment analysis so that it can be known whether the public opinion about BPJS Kesehatan Lampung is positive or negative. This study uses the Naïve Bayes algorithm. This sentiment uses a dataset from Twitter which uses several keywords regarding BPJS Kesehatan Lampung. Based on the research results, it is known that the Naïve Bayes algorithm has an accuracy value of 89,33%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
