Fuzzy-Dijkstra Algorithm Implementation on Determining Logistic Distribution Route for Evacuation Post of Merapi Eruption Victims
Keywords:Dijkstra Algorithm, Logistic Distribution Route, Sugeno Fuzzy Inference System,
AbstractDistribution of logistics is one of the important actions and must be done quickly in disaster relief. The action requires real-time field knowledge and quick handling. Therefore, the determination of the logistic distribution route is important. The study aims to find a logistic distribution route with multi-parameter combining Dijkstra algorithm and Fuzzy logic. Sugeno Fuzzy Inference System considers 3 parameters i.e., distance between posts, road density, and number of refugees and processed to obtain vertex and edge weight on the graph. Implementation Dijkstra's algorithm is used in the search of distribution routes in the model graph because the Dijkstra algorithm has the principle of finding a route with a minimum of total weights between 2 vertexes given so that it fits the case of searching for distribution routes that require fast handling as it concerns the souls of many people. The results showed that from 52 experiments on a graph containing 13 vertex and 44 edges, and 4 times that is, best time, morning, afternoon, and night. Graph formed and graded worth 48 graphs or 92.31 percent; proving that the route determination of Fuzzy-Dijkstra Algorithm can be performed and produce an effective and efficient route.
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