According to the Indonesian Traffic Police Center, in 2017 Indonesia ranks the top 4th countries in South East Asia which has a high number of road accidents. Many of the accidents, unfortunately, are caused by the drowsiness of car drivers. This indicates that human fatigue significantly affects the safety of traffic. To decrease the number of road accidents in Indonesia, this research proposes an alternative measurement tool and parameter to detect the drowsiness symptoms of car drivers. This research analyzes the usage of a wearable wristband blood pressure and heart rate monitor, attached to a car driver to detect drowsiness. The proposed measurement tool monitors all retrieved data to measure the fatigue condition of the driver. The main purpose of this research is to analyze the effectiveness of proposed wristband to collect the blood pressure and heart rate pattern for indicating drowsiness symptoms. This research concludes that car drivers' drowsiness can be detected by monitoring their heart rate and blood pressure using the proposed wristband. This research can be expanded in the future as a mitigation system to prevent car accidents caused by drivers' drowsiness. It can be expanded as an integrated Internet of Things system in a smart car that can alert a driver to take a rest when the system indicates that the driver is in a fatigue condition. When this integrated system has been developed well, the car accidents caused by driver drowsiness can be effectively prevented so that the number of car accident victims in Indonesia will be minimized.