In last 2019, the Covid-19 outbreak was first reported, infecting at least 20.1 million people and killing more than 737,000 people worldwide and still counting. In Indonesia, the government announced that the Covid-19 vaccination is an obligation for everyone. The rapid development of technology has made social media a platform of spreading news. One of the social media that plays an important role is Twitter. The tweets can be shared with other users by re-tweeting process.The greater the number of retweets, the wider the existing information. Therefore, the retweet feature plays a crucial role in spreading information. This study discusses retweet predictions about Covid-19 vaccination using the Long Short-Term Memory (LSTM) method with the application of hyperparameter tuning to obtain the best result and get an accuracy or closeness values (98%),a precision or closeness value (74%), a recall value (91%), and an f-1 score value or a comparison value (93%).