Sentiment Analysis of Pancasila Values in Social Media Life Using the Naive Bayes Algorithm

Abstract

The implementation of Pancasila in citizenship from year to year has not found good news, even in mid-2020 there were many conflicts due to polemics carried out by the Pancasila Ideology Development Agency in the bill. Various efforts have been made by both state officials and activists to make people aware of the importance of implementing Pancasila values in social life. Therefore, this study aims to determine whether a person has Pancasila spirit or not in terms of that person's social media. The research will result in the accuracy of Naive Bayes classification using the media in the form of tweets reaching 73% with the results in the form of 3 classes, namely Neutral, Positive and Negative Pancasila. The results of this study have resulted and can be applied to classify someone with Pancasila spirit or not by using media in the form of social media accounts with the Naive Bayes method, being able to detect early as a basis for decision making by stakeholders and can trigger someone to evaluate himself, apply Pancasila values in every activity, even on social media.