Determination Of Product Features Using Kano And Sentiment Analysis Method Case Study: Reverse Vending Machine

Abstract

The Sustainable Development Goals are having much impacts to the world, as they aim to make the better world. A circular economy was introduced to reduce waste by reproducing it to become new product. One of the wastes is plastics waste, especially PET waste which is relatively easy to recycle than the other type of wastes. Hence, a reverse vending machine is developed to collect plastic bottles from customers. A customer-centered machine design is needed to make the product is attractive and bring customers’ satisfaction when being used. Therefore, this paper is aimed to reveal the customers’ preferences on features that will be implied in the reverse vending machine product. There were two surveys carried out in this research, the first is to identify the customers’ preferences, then the data are processed by using Word Cloud. The result of Word Cloud extracted 7 features, then Kano and open-ended question survey is generated to map the rank of features’ importance and the sentiment of people regarding the proposed product. Finally, the technical requirements of feature implementations are proposed to be implemented in the reverse vending machine. The result from this research is must-be features that become the core reason why the targeted customers will use the product.