Smart Sensor System for Detection and Forecasting Forest Fire Hotspot in Riau Province Indonesia

Indonesian is one of the countries in a tropical region, in the summer season normally high temperature and hot environmental then forest and forest fire happened. This is because most of the land in Indonesia is peatland and forestry area, especially in Sumatera and Kalimantan island. Worst when it has a huge impact on the local economy, environment, flora, fauna and human health. As reported, millions of people have suffered from respiratory problems, which some have died and in serious health conditions. This research aims to prevent more casualties, providing detection and forecasting as well as warning on fires as alert to the community and representative institution. Furthermore, the research discusses on developing a smart sensing system for the ground level to do monitoring and forecasting. Several types of sensor used based on fire basic parameters such as temperature, humidity, gasses and carbon sensor to measure value in the open environment. Arduino microcontroller and algorithm introduce to the system to achieve smart monitoring system and filtering noise data from the sensors. Mathematical model and analysis applied in this system to do forecasting for the future and estimate number of hotspots in the area of forest in Riau Province. The information based on sensing and analysis as well as forecast data forward to the respective institution or government agency for further action.