Exploring User Satisfaction for Health Application Among Pregnant Women in Indonesia : A Case Study with Aspect Based Sentiment Analysis

The development of information technology has brought significant changes in seeking and obtaining health information. Health is a major factor affecting the development and well-being of individuals and communities, especially for health monitoring applications for pregnant women and toddlers. In Indonesia, despite the high development of technology, the adoption of health apps is still relatively low. This research investigates user sentiment regarding health apps targeted at pregnant women, focusing on four main aspects - social, individual, technical and security. Through sentiment classification and Aspect Based Sentiment Analysis (ABSA) on thousands of user reviews from the Google Play Store, we identified critical areas of concern and appreciation. The results showed significant negative sentiment on social and individual aspects, with users experiencing dissatisfaction over insufficient community support, lack of personalization, and emotional relevance. Security aspects also showed negative sentiments due to concerns over privacy and data protection. In contrast, the technical aspects were the most positively received, with users appreciating the overall functionality and performance of the application.