Development of An Internet of Things Based Oil Spill Incident Early Warning System

Abstract

The risk of oil spills are very real, these incident could cause environmental damages and socio-economic losses. These incidents need to be known or realized as early as possible (real-time), to prevent and minimize their environmental and socio-economic impacts. An oil spill early warning system (EWS) based on the Internet of Things (IoT) could be a solution to solve this problem. This research succeeded in developing an EWS called the OSII (Oil Spill Incident Information) System, which allows users to get incident notifications or access the information and response status in real-time wherever they are. The development of this system uses the waterfall method with the stages: requirement analysis, design, implementation, testing and maintenance of the system. Each stage of development is analyzed and discussed in this study. System testing to the OSII System showed quite good results with several suggestions for further development and research.