Fire Location Prediction Application Using Web-Based Fuzzy Method

Abstract

Forests are an ecosystem that really supports the life of living things in the world. One of the main forest disturbances related to changes in climate stability is forest fires. The problem in handling forest fires is the slow notification of information regarding fire occurrence. This situation is due to the absence of a network or internet signal in the forest area, as well as indicators and notifications to forest guards. Therefore, an early forest fire detection system was created to speed up the response process to forest fire disasters. The Fuzzy Tsukamoto method is a method that is data tolerant and very flexible. The advantage of the Tsukamoto method is that it is intuitive and can provide responses based on information that is qualitative, inaccurate and ambiguous. The Fuzzy Tsukamoto method is the right choice in dealing with the problem of making a decision using several criteria. With this method, all criteria have the same value so they do not have different weights like other methods. So using the Fuzzy Tsukamoto method is the right choice because it takes into account all the criteria that will be taken into account