Exhaust Gas Detection System In Cabin Car Based on Internet of Things

Driving a car is a daily transportation activity carried out by the Indonesian people. Currently, there is no feature on the car to check and provide warnings about the air quality in the cabin. The purpose of this study is to build an exhaust gas detection system in the car cabin by analyzing the air using the MQ-135 and MQ-7 sensors. This study uses a prototyping model for software and hardware development. The prototyping model is quite effective at every stage, from data collection stage to system testing and implementation stage. This study focuses on developing a system to detect exhaust gases inside car cabins, as there is currently no feature in cars to monitor cabin air quality. The system uses MQ-135 and MQ-7 sensors to analyze air quality and detect harmful gases such as Carbon Monoxide (CO), Carbon Dioxide (CO2), Ammonia (NH3), and Nitrogen Oxides (NOx), which result from fossil fuel combustion. If gas levels exceed safe limits, the system provides a warning and recommends opening the windows to improve air circulation. The goal is to help maintain healthy air quality in car cabins, preventing negative health impacts on passengers, and allowing car owners to monitor vehicle conditions for safe daily use.