SMART method for recommender system towards smart tourism and green computing

Abstract

Smart tourism is one component of smart village or smart city that aims to improve service quality of tourism. Smart tourism is expected to provide a better tourist experience for tourists by utilizing information technology. The purpose of this study is to develop for a culinary recommendation application to support smart tourism. Simple Multi-Attribute Rating Technique (SMART) was employed to develop the application which is based on geographic information systems. The application gives culinary places' recommendation by considering several attributes, such as facilities, prices, menu variations, and distances (most recommender systems of culinary places do not use distance as the main attribute). In addition, this recommendation system is also one of the solutions in implementing green computing, namely "telecommuting"by reducing transportation emissions. Two test scenarios, namely user acceptance, and accuracy testing have been carried out. The user acceptance testing yielded 75.2% which indicated that the application was good, while the result of the accuracy testing was 83.33% which was considered high.