This document summarizes research validating search protocols for mining health and disease information from Twitter in Bahasa Indonesia. The researchers developed word lists of health-related terms and used them to analyze over 1 million tweets, developing a classification model to predict whether tweets referred to health issues. The model showed moderate performance in validation but lower in testing. Future work could improve the model and integrate expert reviews to address biases. Monitoring public Twitter discussions may provide a proxy for health indicators.