Plastic is a wear resistance, easy to use, and cheap material. It was required by so many industries, so the quantity of plastic production in Indonesia increases every year. The increase in plastic production makes the volume of plastic waste generated by households. The unmanaged plastics waste releases various harmful substances for humans and the environment. To reduce this negative impact, a reverse logistics network for plastic waste, the recovery flows of plastic waste, is designed. This study constructed mixed-integer linear programming (MILP) for reverse logistics network design for plastic waste management in Indonesia to minimize the total cost from opened facilities cost, processing cost, and transportation cost. Then, due to uncertainty of the quantity of returned plastic from the consumer, the first MILP model is reformulated into mixed-integer robust programming (MIRP). The MIRP model also figured out the optimal location of selected facilities and the quantity of plastic transported from one facility to the others, under uncertainty.