Analisis Sentimen Opini Masyarakat Terhadap Penggunaan ChatGPT di Bidang Pendidikan Berbasis Twitter

This research aims to analyze the sentiment of Indonesian society towards the use of ChatGPT technology in education. The use of ChatGPT in an educational context offers opportunities to simplify the learning process and support teachers in developing teaching materials. However, this technology also raises various concerns related to dependence on technology, privacy, and social interaction between students and teachers. The research method used is sentiment analysis by collecting data through social media (Twitter, Facebook) using API and Orange Data Mining platform to process the data. The results show that this technology is well received by most people, although there are some concerns regarding its negative impact. The classification models used in this research are Decision Tree and k-Nearest Neighbors (kNN), with the Decision Tree model showing superior results. This research is expected to provide insights for policy makers and technology developers in optimizing the application of ChatGPT in education in Indonesia