Design and Construction of a Certainty Factor-Based Nutrition Consultation System with the Prototyping Method for Stunting Prevention in Coastal Areas

Abstract

Stunting remains a serious health problem in Indonesia, particularly in coastal areas where access to health services is limited and nutritional knowledge among communities is relatively low. This study aims to design and develop a nutrition consultation system based on the Certainty Factor (CF) method using the Prototyping approach as an effort to support stunting prevention. The research began with the identification of user requirements, followed by the design of a knowledge base and rule base using CF to process symptoms and nutritional indicators. The system was implemented into an application prototype and iteratively validated by nutrition experts and users. Black-box testing showed that all functional modules, including registration, login, nutritional diagnosis, and information management, worked properly. Furthermore, a usability test involving 25 respondents was conducted to measure user experience in terms of learnability, effectiveness, memorability, error, and satisfaction. The results indicated an overall average usability score of 4.08 (Good category), with learnability and satisfaction rated highest, while error handling and memorability still require improvements. These findings suggest that the developed CF-based consultation system can serve as an effective and accessible technological solution to provide nutritional recommendations for coastal communities, thus contributing to efforts in reducing stunting prevalence