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Sentiment Analysis on Social Security Administrator for Health Using Recurrent Neural Network

Twitter is a social media used to convey opinions, exchange information, upload videos and photos. On social media Twitter, the exchange of information is fast becoming an advantage, so it is often used in delivering news and opinions in the form of criticism and suggestions such as to government agencies, for example, every time there is an issue of increasing dues to Social Security Administrator for Health, it is always a battle of opinion between the public. Social Security Administrator for Health is a government agency that guarantees the health of the Indonesian people; in this case, civil servants and private workers are required to register for this insurance and insurance for the poor. Opinion wars related to the issue of increasing insurance contributions between the public in the form of positive and negative opinions, a sentiment analysis system will be created using the Recurrent Neural Network classification method. This system can help analyze opinions based on people's perspectives on Twitter social media, from the research results in the sentiment analysis of Twitter users, with an average accuracy of 86.67%.