Nutritional Status Monitoring System Based on Antropometric to Support Society 5.0

The advancement of science today has a major impact on human life. With the presence of the society 5.0 era, it is easier for people to fulfill their needs through electronic media. The utilization of information technology in this era makes it easier for people to get health services. Monitoring development from an early age is very important to prevent malnutrition in toddlers. Monitoring the growth of toddlers is carried out at the posyandu with anthropometric measurements so that it can determine nutritional status and how to prevent it. The lack of facilities and infrastructure in the posyandu is a problem that must be addressed immediately so that activities in the posyandu can run well. This research proposes the use of an easy website for monitoring the growth of toddlers. The website provides a nutritional status classification feature for toddlers using the naïve bayes method that has been adjusted to anthropometric standards. The anthropometric standards used to determine nutritional status are derived from the Peraturan Menteri Kesehatan Republik Indonesia No. 2 of 2020. In addition, the features available on this website are very complete, including adding and editing blita data, toddler growth charts, filling in the SDIDTK format, information on nutritional adequacy rates that must be met, and PMT menu recommendations that can be used as a reference for toddler food menus. The naïve bayes method is a method that has a simple classification technique but has a high level of accuracy. By knowing the nutritional status of toddlers every month, posyandu cadres can prevent poor growth experienced by toddlers. The results of the implementation of the naïve bayes method for the classification of toddler nutrition show good results, namely accuracy of 85%, precision of 84% and recall of 81%.