SENTIMENT ANALYSIS OF JATIGEDE RESERVOIR ECOTOURISM, SUMEDANG REGENCY USING THE NAIVE BAYES CLASSIFIER METHOD ON TWITTER AND YOUTUBE MEDIA

• Main Author: Wididharma, Kelvin
• Format: Final Project
• Language: Indonesia
• Subjects: Perencanaan wilayah
• Online Access: https://digilib.itb.ac.id/gdl/view/78679
• Institution: Institut Teknologi Bandung

This research aims to delve into the sentiment analysis of the public towards the Jatigede Reservoir ecotourism in Sumedang Regency through Twitter and YouTube social media platforms. The sentiment analysis method employed is the Naïve Bayes Classifier. Data was collected through crawling from both social media platforms, followed by a series of preprocessing steps, including data cleansing, text preprocessing, and translation, before ultimately being classified into three sentiment categories: positive, neutral, and negative. The analysis results indicate that the majority of sentiments associated with the Jatigede Reservoir are positive (approximately 70%), while neutral sentiments make up around 20%, and negative sentiments are only around 10%. The Naïve Bayes Classifier method yielded an accuracy rate of 69.29%, demonstrating its effectiveness in classifying public sentiment towards this ecotourism destination. Furthermore, this study integrates the findings of sentiment analysis with ecotourism development strategies. These strategies encompass enhancing service quality, public education efforts, and more effective promotion. The implementation of these strategies is aimed at creating sustainable ecotourism, preserving the environment, and empowering the local community to gain greater economic benefits from the Jatigede Reservoir ecotourism. Recommendations from this research are directed towards tourism managers, the Sumedang Regency government, and potential investors, with a focus on enhancing positive interactions with visitors, deepening understanding of ecotourism, and more effective destination promotion. This research provides valuable insights into how sentiment analysis can be a powerful tool in ecotourism development and sustainable decision-making in the tourism sector.