Abstract
The population of the world, now somewhat over seven billion persons, is growing faster than at any period in man’s history. By 2050 the global population is projected to reach nine billion. As food production struggles to keep up with the rapidly growing global population, food waste is predicted to grow. Indonesia is the world’s second-largest food waste, squandering nearly 300 kilograms of food per person each year, more than half of Jakarta’s household waste was kitchen waste. The fact that Indonesia waste so much food is ironic as millions in the country suffer from malnutrition. Because of the magnitude and complexity of the food waste problem, these research aims are to reduce food waste and build food sharing community. The approach to reducing food waste is embedded in the broader concept of promoting the food innovation system. Reducing food waste is critical to creating a zero hunger world and reaching the world Sustainable Development Goals (SDGs), especially SDG 2 (end hunger) and SDG 12 (Ensure sustainable consumption and production patterns). The research methods are GIS-based modeling and spatial data mapping that is used to determine the optimal strategy in distributing services to the surrounding population. The results of the spatial analysis are implemented into a GIS-based application that can send information to the public in real-time situations regarding food available at a particular point from the food donor. This platform has been proven to help reduce food waste generated by the community while helping other people who need food to survive.
