Applying process mining to investigate the relation between food purchase behavior and children's weight based on the food digital cards

Abstract

This research proposes the application of process mining to analyze consumption behavior that affects the overweight status of school-aged children to encourage students to get good nutritional health and prevent malnutrition, in case of overnourished, during school-age years. The research includes the following two steps: 1) Collect data of students' food purchases made through food digital cards, 2) Analyze data using the Fuzzy Miner Algorithm in Disco program. The results of the study found the food consumption behaviors of individual students along with meal frequency with high calories food that affects overweight status standardized by the Ministry of Public Health. The results of this study enable schools to provide individual dietary recommendations to overweight students and parents and adjust the diet menu so that students receive the right amount of calories.