Development of a Chatbot Application Model on the Intention and Knowledge of Pregnant Women in Dental Visit

Oral health during pregnancy is a crucial aspect of maternal well-being, yet awareness of the importance of dental visits among pregnant women remains low. Hormonal changes, behavioral factors, and limited access to information contribute to an increased risk of oral health problems, which can affect both the mother and the fetus. In the era of Society 5.0, Android-based chatbot technology integrated with public health centers (Puskesmas) offers a promising approach to health education. This study aimed to develop and assess the effectiveness of a chatbot application in improving pregnant women’s intention and knowledge regarding dental visits. A Research and Development (R&D) method was applied using a simplified Borg and Gall model, consisting of stages including information gathering, application design, expert validation, a small-scale trial with 7 respondents, and large-scale testing with 30 respondents using a one group pretest-posttest design. Validation by experts showed that the application had high validity (Aiken’s V > 0.8) and strong reliability (ICC, p = 0.001). The effectiveness test demonstrated a significant increase in both intention and knowledge scores after the intervention (p = 0.000). These results confirm that the chatbot application is a feasible and effective digital education tool to promote routine dental visits during pregnancy.