Effect of SMOTE Variants on Software Defect Prediction Classification Based on Boosting Algorithm


Rahmina Ulfah Aflaha, Rudy Herteno, Mohammad Reza Faisal, Friska Abadi, Setyo Wahyu Saputro Abstract Detecting software defects early on is critical for avoiding significant financial losses. However, building accurate software defect prediction models can be challenging due to class imbalance, where the data for defective modules is much less than for standard modules. This research […]

Movie Recommender System Using Cascade Hybrid Filtering with Convolutional Neural Network


Ihsani Hawa Arsytania, Erwin Budi Setiawan, Isman Kurniawan Abstract The current technological advancements have made it easier to watch movies, especially through online streaming platforms such as Netflix. Social media platforms like Twitter are used to discuss, share information, and recommend movies to other users through tweets. The user tweets from Twitter are utilized as […]