Supervised learning using shallow machine learning methods is still a popular method in processing text, despite the rapidly advancing sector of unsupervised methodologies using deep learning. Supervised text classification for application user feedback sentiments in Indonesian Language is one of the applications which is quite popular in both the research community and industry. However, due to the nature of shallow machine learning approaches, various text preprocessing techniques are required to clean the input data. This research aims to implement and evaluate the role of Levenshtein distance algorithm in detecting and preprocessing misspelled words in Indonesian language, before the text data is then used to train a user feedback sentiment classification model using multinomial Naïve Bayes. This research experimented with various evaluation scenarios, and found that preprocessing misspelled words in Indonesian language using the Levenshtein distance algorithm could be useful and showed a promising 8.2% increase on the accuracy of the model's ability to classify user feedback text according to their sentiments.

History has a vital function in shaping the personality of the nation, the quality of humans, and the people of a country. However, one factor that influences learning behavior that could be improved is the students’ interest in learning. The use of game-based learning has been proven to be effective in making activities to be more fun to do. Moreover, augmented reality technology also shows enormous potential in the world of education. This research developed a game-based historical learning application using augmented reality to enhance user experience in learning history. The application is built using the Unity Game Engine and Vuforia. Furthermore, the application was tested and evaluated by measuring the perceived usefulness and perceived ease of use following the guidance in the Technology Acceptance Model. The result shows that the application achieves 89.5% for perceived usefulness and 86.33% for perceived ease of use.

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