EARLY DETECTION OF STUNTING AND USER SATISFACTION: AN OVERVIEW OF ANTHROPOMETRIC MEASUREMENT IN INDONESIAN TODDLERS

Abstract

Cadres and health workers are considered inaccurately measuring toddler height and weight in primary healthcare centers (PHC). Less systematic weighing techniques due to non-standard equipment and various types are the common issue causing this phenomenon. This study developed anthropometric tools for early detecting stunting and measuring user satisfaction. The tools were created using an application system with a microcontroller and an android-based Arduino device embedded. This study used the waterfall method to early detect stunting, and questionnaire was distributed to collect data on user satisfaction. Sample unit for data input was toddlers, and nutritional status and recommendations for toddler meal schedules were the final outputs. All detection systems used sensors that were programmed to allow cadres and health workers to easily identify nutritional status, records, and reports. The score percentage of user satisfaction ranges from 87% to 90%, the application features will be considered useful and easy to use, operate and recognize according to user needs, as well as complete with a well-run chat feature and tracking. The experts also perceived the systems provided understandable information. They stated the tools were helpful for cadres and health workers in PHC and health integrated posts in Indonesia.