Abstract

IoT (Internet of Things) is now a part of technology development. In utilizing the IoT technology, data aggregation can be applied. Data aggregation itself is a method that can help perform data processing in a system. Sensor technologies are widely used in health systems, in particular to help with health monitoring. A health system utilizing the technology of a smartwatch with sensors that can record body conditions and allow real-time data transmission can be developed with the help of several methods, one of which is data aggregation. To avoid data loss or lack in the midst of sending data packets, it is necessary to use a data aggregator as well as the cloud and an API to attract and send the data packets. The cloud is also a component that is quite important because it enables cloud computing as well as data storage. The data aggregator also helps reduce the transmission delay in sending data packets and compute the data that arrive from the sensors. Meanwhile, the API is widely used to carry out the process of transmitting data on an application or system, so it can be connected to a server or the cloud to manage data requests from a user to the server. It is also important to assess the source or resource used in the system, including the throughput or the amount of load that can be received by the resource.

Keywords: Internet of Things, data aggregation, cloud, sensor and throughput