Development of Waste Management System using the Concept of ‘Basura Advantage Points’ through Artificial Neural Network

One of the most pressing problems of the world is the growing solid waste pollution. With current demands for sustainable development, the researchers developed a waste segregator machine that satisfies efficient segregation and introduces the concept of reward system to motivate people to throw their waste into the machine. In this paper, the researchers created an automatic segregating machine that uses Artificial Neural Network (ANN) as an algorithm for machine learning and embedded with the concept of “Basura Advantage Points”. The ANN acts as the brain of the machine for sorting out the plastic bottles as one category and other waste materials for the other category. The “Basura Advantage Points” is a novel concept wherein whenever people throw a garbage into the segregating machine, they can earn points which can then be used to redeem awards set by policy makers. Survey results show that the machine is appealing to the public. Based on the sample wastes, the accuracy of the machine is around 80 percent. From positive feedbacks to successful evaluation, the study highlighted a good model to decrease improper waste disposal and encourage people to participate in proper waste segregation.