Irawan Dwi Wahyono, Khoirudin Asfani, Mohd Murtadha Mohamad, Djoko Saryono, Hari Putranto, Mohd Nihra Haruzuan Bin Mohamad Said
Now, in the Pandemic era, all people use online technology for all-purpose such as messenger application for all their activities. Text message is very fast to give respond but it is difficult to understand about felling or emotion people because in messenger cannot show their face. In online learning, teachers can send a text using a chat room with their students for learning but teachers cannot understand their student condition such as feelings or emotions. The problem that if students are bad emotion, they are very difficult to give them learning, especially in messenger's application, for example, chat room in online learning. The purpose of this research solves this problem by building a system that text documents in the chat rooms will process using an Artificial intelligence algorithm to know about the emotions of people in the chat room. The system uses 3 algorithms: naïve Bayes, fuzzy logic, and NPC. The system was built in existing online learning and embedded in the chat rooms in online learning. The result of testing of the system was 70% accuracy to determine the emotion-based in a text document in the chat room of online learning. © 2021 IEEE.
Faculty of Engineering, Universitas Negeri Malang, Malang, Indonesia; Faculty of Engineering, Universiti Teknologi Malaysia, Malaysia; Faculty of Letter, Universitas Negeri Malang, Malang, Indonesia
