skip to main content

Implementasi Metode Promethee Dan Borda Dalam Sistem Pendukung Keputusan Pemilihan Lokasi Pembukaan Cabang Baru Bank

*Dyah Apriliani  -  Magister SIstem Informasi, Indonesia
Kusworo Adi  -  Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Rachmat Gernowo  -  Fakultas Sains dan Matematika, Universitas Diponegoro

Citation Format:
Abstract

The selection of a new branch bank location is crucial to the success of the bank in the future. The object of this research is BMT Muamalat. PROMETHEE method is used to manage individual decision of each decision makers, while Borda method is used to manage group decisions of PROMETHEE method in ranking the results. The use of these two methods is one solution to produce a more objective group decision. Ranked of alternative location have appropriated with the opening rules of the new branches of BMT Muamalat. As for the variables in this study are criminality, facilities and infrastructures, per capita income, economic growth, population, and the number of competitors around the alternative location of a new branch. The results of this research is Banyuputih as the best alternative location.

 

 

Fulltext View|Download
Keywords: Decision Support Systems, Choice of location of the bank, PROMETHEE, Borda

Article Metrics:

  1. Akafpour, A. and Hamidi, N., 2013. Improved techniques PROMETHEE preference for the changed conditions. Technical Journal of Engineering and Applied Sciences, 3681-3687
  2. Behzadiana, M., Kazemzadeh,R,B., Albadvi, A. and Aghdasi, M., 2010. PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research 200, 198–215
  3. Boufounou, P.V., 1995. Theory and methodology evaluating bank branch location and performance: A case study. European Journal of Operational Research 87, 389-402
  4. Brans, J.P. and Vinke, P.H., 1985. A preference ranking organisation method: (The PROMETHEE method for multiple criteria decision-making). Management Science, vol. 31, no. 6 (jun., 1985), pp. 647-656
  5. Brans, J.P., Vincke, P. H. and Mareschal, B., 1986. How to select and how to rank projects : the PROMETHEE method. European Journal of Operational Research 24, 228-238
  6. Doumpos, M. and Zopounidis, C., 2010. A multicriteria decision support system for bank rating. Decision Support Systems, 50, 55–63
  7. Klamler, C., 2004. The dodgson ranking and the Borda count: a binary comparison. Mathematical Social Sciences, 48, 103– 108
  8. Little, J.D.C., 1970. Models and managers : the concept op a decision calculus. Management Science Vol 16 No.8
  9. Rikalovic, A.,, Cosic, I. and Lazarevic, D., 2014. GIS Based Multi-Criteria Analysis for Industrial Site Selection, Procedia Engineering, 69, 1054 –1063
  10. Wu, W.W., 2011. Beyond travel & tourism competitiveness ranking using DEA, GST, ANN and Borda count. Expert Systems with Applications, 38, 12974–12982
  11. Zarghami, M., 2011, Soft computing of the Borda count by fuzzy linguistic quantifiers. Applied Soft Computing 11, 1067–1073

Last update:

No citation recorded.

Last update: 2024-12-23 17:34:29

  1. Group decision support system for employee performance evaluation using combined simple additive weighting and Borda

    Aziz T.F.A.. IOP Conference Series: Materials Science and Engineering, 127 (3), 2020. doi: 10.1088/1757-899X/830/3/032014
  2. Application of promethee mathematical model for choosing a secondary breakage process of the oversized blocks in limestone quarries

    Bouhedja A.. Mining Science, 23 , 2016. doi: 10.5277/msc162310