Building AHP - Promethee model for deciding level status floods disaster in edge computing

Flood is one of the disaster phenomenon that causes damage to living things and the environment. In Indonesia floods disaster increase year to year. There are many causes of flooding. Research on flooding can also be viewed from many perspectives. Therefore, a process is needed to analyze many of these perspectives criteria into a decision to reduce the risk of flood disaster. People has to make correct decision and quick response. For this reason, this paper build an expert system model which is embedded in the edge computing internet of things. This paper uses analytical hierarchy process to give weight on criteria and Promethee to decide flood hazard status level. This paper's model has three experiment criteria and three experiment alternatives vulnerability status. These alternatives and criteria are compared with experiment test case data to obtain a vulnerability status. There are three alternative scenario models tested in this paper, to prove a flood risk status can be modeled with AHP-Promethee. In addition, to test the performance response time of edge computing, it was tested with 3x3 to 50x50 alternative data and criteria. The experimental result for 3x3 is 0.0031 seconds to 50x50 is 0.13 seconds.