The management and intervention of stunting cases in toddlers still face major challenges due to the high class imbalance in risk assessment data, where the population of normal toddlers significantly dominates the at-risk class. This condition often causes machine learning classification models to suffer from predicti...
This study analyzes public sentiment toward the Free Nutritious Meal (Makan Bergizi Gratis/MBG) program in Central Java using data from the social media platform X. Data were collected automatically with Python and Selenium WebDriver, yielding 2,000 tweets containing username, date, location, and comment text. The comm...
The prevalence of cyberbullying on Twitter demands a fast and transparent automated moderation system. This study designs an efficient and explainable binary cyberbullying detection system using DistilBERT and the SHAP-based Explainable AI (XAI) method. The dataset, sourced from Kaggle, consists of 13,169 raw data filt...