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The Impact of a Chatbot Communication Model Based on Decision Trees in Posyandu Services on Changes in Posyandu Visit Behavior
Tatik Kusyanti1,2*, Fedri R. Rinawan3*, Frman F. Wirakusumah4*, Ayi Purbasari5*

1. Bandung Ministry of Health Health Polytechnic
2. Midwifery Department, Ministry of Health Polytechnic, Bandung
3. Padjadjaran University Bandung
4. Padjadjaran University Bandung
5. Pasundan university Bandung


Abstract

Background: Posyandu plays an important role in promotive and preventive services, but its success is influenced by several factors including knowledge, communication, and cross-sector coordination. The coverage of toddler visits is still low, including in Purwakarta (50%), and has not reached the national target of 90%. Therefore, technological innovation in the development of digital communication models is needed to improve service effectiveness.
Purpose: Develop a model and see the impact of a practical model of chatbot communication in Posyandu services by utilizing decision trees on Posyandu visits.
Methods: This study used a complex mixed method design. The total sample for this study was 58 informants (qualitative) and 220 (quantitative). The data were collected using a focus group discussion (FGD) and questionnaire. Statistical analyses were conducted using SEM analysis and questionnaire testing was conducted using the RASCH model.
Results: The results show that digital communication using chatbots based on decision trees causes a significant ease factor of (0.79). Chatbots play an important role in changing people^s behavior in posyandu services compared to without chatbots by (0.24). This shows that chatbots make it almost three times easier to influence visitation behavior. This shows the important role of chatbots in facilitating posyandu services. This may be due to the sophistication of NLP in the system implemented in the chatbot and the decision tree as the basis for the chatbot^s content.
Conclusion: The existence of a chatbot based on a decision tree as the basis for the chatbot^s content increases the convenience for posyandu service users and leads to better changes in visit behavior.

Keywords: Chatbot, Decision Tree, Posyandu, Behavior, Posyandu Visits

Topic: Nursing Care and Technology Development

Plain Format | Corresponding Author (Tatik Kusyanti)

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