Early Warning System for Fire Catcher in Rain Forest of Sumatera using Thermal Spots
DOI:
https://doi.org/10.37934/arfmts.103.1.3039Keywords:
Early warning system, Intellectual Property Rights, multi-platform, satellite platformAbstract
This research’s goals were clear agricultural land in large tropical forests, it is usually very difficult to control because it requires no small amount of money for farmers. The burning method of tropical forest land is a cheap way for farmers to start farming and saves energy. Unfortunately, this method can increase the impact on health and environmental damage. There are several research on burning forest land for agriculture but there are still many weaknesses and shortcomings in the application of the applied method. Therefore, a model was designed to detect and reduce the weaknesses and shortcomings of each method applied in optimizing the detection and reduction of error rates in forest burning that can cause forest fires using the 4.0 technology method. In designing of the Early Warning System Model for Fire Catcher in the rain forest of Jambi, Sumatra, the methods used are literature study, analysis method with hotspots information system (hotspots) and Earth data, NASA. The analytical method in the form of action research is intended to examine the problems faced by the Forestry Service of the Province of Sumatra and the tropical forests of Sumatra. Forestry Service Unit in Sumatra Province as a sample. The design method is used to design a new application system based on data taken from interviews with the forestry service in the form of Intellectual Property Rights that can provide solutions to problem identification. In designing the Early Warning System Model for Fire Catcher in the rain forest of Jambi, Sumatra as the outcome of the first-year research that the methods used are literature study, analysis method with hotspot information system and Earth data, NASA. The design of the Intellectual Property Rights Model uses PHP, MySQL. The result to be achieved is the success of the early warning system model to detect forest fires also the widespread publication in Indonesia in the first year of this research.