Fuzzy-Dijkstra Algorithm Implementation on Determining Logistic Distribution Route for Evacuation Post of Merapi Eruption Victims


  • Khalid Shibghatulloh Robbani Department of Informatics, Universitas Sebelas Maret (UNS), Surakarta, Indonesia.
  • Wiranto Wiranto Department of Informatics, Universitas Sebelas Maret (UNS), Surakarta, Indonesia.
  • Esti Suryani Department of Informatics, Universitas Sebelas Maret (UNS), Surakarta, Indonesia.


Dijkstra Algorithm, Logistic Distribution Route, Sugeno Fuzzy Inference System,


Distribution 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.


Geological Agency of the Ministry of Energy and Mineral Resources. (2016, April 19). Geological Agency Mt. Merapi. Retrieved from Center for Volcanology and Geological Disaster Mitigation. [Online]. Available: http://www.vsi.esdm.go.id/index.php/gunungapi/datadasar-gunungapi/542-g-merapi?start=1

BNPB. Resilience of the nation in the face of disaster. Jakarta: Badan Nasional Penanggulangan Bencana, 2011.

A. R. Prabowo. Development of model to determine the distribution of logistical aid and evacuation of refugees with criteria to minimize the total cost of distribution and evacuation in disaster management eruption of Mt. Merapi. Surakarta: Skripsi UNS, Jul. 2014.

S. Ananto. Fuzzy-Greedy Algorithm for Determining Evacuation Routes on Mount Merapi Eruption of Sleman Regency. Surakarta: Skripsi UNS, Jan. 2016.

L. Santoso, A. Setiawan, and A. Prajogo. Performance Analysis of Dijkstra, A*, and Ant Algorithm for Finding Optimal Path Case Study: Surabaya City Map. Surabaya: Petra Christian University, 2010.

T. Takagi and M. Sugeno, "Fuzzy Identification of System and Its Application to Modeling and Control", IEEE Transaction on System, Man, and Cybernatics, vol. 1, pp. 116-132, 1985.

E. Dijkstra, "A note on two problems in connexion with graphs," Numerische Mathematik, pp. 269-271, 1959.

K. H. Rosen. Discrete mathematics and its applications. New York: McGraw-Hill, 2007.

M. Weiss. Data structures and algorithm analysis in java 3rd edition. New Jersey: Pearson Education, Inc, 2012.

L. X. Wang. A course in fuzzy systems and control. New Jersey: Prentice-Hall, Inc, 1997.

R. Munir. Sistem inferensi fuzzy. Bandung: Teknik Informatika – STEI ITB, 2011, Unpublished.

J. S. R. Jang, and N. Gulley. Fuzzy logic toolbox. MA: The Math Works Inc, Natick, 1995.

K. M. Pasino, and S. Yurkovich. Fuzzy control. Canada: AddisonWesley, 1997.

E. Chalkia, J. M. S. Grau, E. Bekiaris, G. Ayfandopoulou, C. Ferarini, and E. Mitsakis, "Bus routing safety for the transportation of children to school". in Proc. International Congress of Automotive and Transport Engineering CONAT, Nov. 2016, pp. 676-683.




How to Cite

Robbani, K. S., Wiranto, W., & Suryani, E. (2018). Fuzzy-Dijkstra Algorithm Implementation on Determining Logistic Distribution Route for Evacuation Post of Merapi Eruption Victims. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-4), 133–137. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4331