Fuzzy Topsis untuk Meningkatkan Akurasi dan Objektivitas Bobot pada Seleksi Vendor PT. Telkomsel TTC BSD

Authors

DOI:

https://doi.org/10.32493/informatika.v4i1.2685

Keywords:

Fuzzy, TOPSIS, Weight, Selection, Vendor

Abstract

Selection of vendors in PT. Telkomsel TTC (Telkomsel Telecommunication Center) BSD has some shortcomings that their maintenance costs in excess of the targeted system, and the processing time exceeds the specified time limit. The TOPSIS method can be applied to solve the problem by selecting the alternatives which have the shortest euclidian distance from the positive ideal solution. Ranking and weighting of criteria useful for determining solutions in the TOPSIS method. However, in many circumstances, sometimes the data obtained is inadequate and causes it cannot predict preference values correctly. Fuzzy logic can be used to help determine preference values in a structured manner. Fuzzy theory can be used to measure the concept of uncertainty more objectively than humans. In this study, the application of fuzzy TOPSIS method used to select the best vendors in PT. Telkomsel TTC BSD. The results of the research are the TOPSIS method is better than Fuzzy TOPSIS method.

References

Ashrafzadeh, M., Rafiei, F. M., Isfahani, N. M., & Zare, Z. (2012). Application of fuzzy TOPSIS method for the selection of Warehouse Location: A Case Study. Interdisciplinary J. of Contemporary Research in Business, 3, 655–671.

Hwang, C.-L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. Lecture Notes in Operations Research and Mathematical Economics Ch. Schneeweiß Invariant Imbeddlng. Proceedmgs VoL 58 P. B. Hagelschuer. TheOrie der linearen Dekomposition. VII. 191 Selten Growth Irl Open Economles. V. S. Ashour. Sequenclng Theory. V. Beh. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-48318-9

Kaya, T., & Kahraman, C. (2011). Multicriteria Decision Making in Energy Planning Using a Modified Fuzzy TOPSIS Methodology. Expert Systems with Applications, 38(6), 6577–6585. https://doi.org/10.1016/j.eswa.2010.11.081

Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2014). A Comparison Between Fuzzy AHP and Fuzzy TOPSIS Methods to Supplier Selection. Applied Soft Computing Journal, 21, 194–209. https://doi.org/10.1016/j.asoc.2014.03.014

Peng, G., Junwen, F., & Lu, Y. (2008). Fuzzy TOPSIS algorithm for multiple criteria decision making with an application in information systems project selection. 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, 4–7. https://doi.org/10.1109/WiCom.2008.1759

Pochampally, K. K., Gupta, S. M., & Kamarthi, S. V. (2004). Evaluation of Production Facilities in a Closed-loop Supply Chain: A Fuzzy TOPSIS Approach. In S. M. Gupta (Ed.), Environmentally Conscious Manufacturing III (Vol. 5262, pp. 125–138). https://doi.org/10.1117/12.516172

Singh, R. K., & Benyoucef, L. (2011). A fuzzy TOPSIS based approach for e-sourcing. Engineering Applications of Artificial Intelligence, 24(3), 437–448. https://doi.org/10.1016/j.engappai.2010.09.006

Soloukdar, A., & Parpanchi, S. A. (2015). Comparing Fuzzy AHP and Fuzzy TOPSIS for Evaluation of Business Intelligence Vendors. Decision Science Letters, 4(2), 137–164. https://doi.org/10.5267/j.dsl.2015.1.002

Tzeng, G.-H., & Huang, J.-J. (2011). Multiple Attribute Decision Making: Methods and Applications. Florida: CRC Press. Retrieved from https://www.crcpress.com/Multiple-Attribute-Decision-Making-Methods-and-Applications/Tzeng-Huang/p/book/9781439861578

Wang, J.-J., Jing, Y.-Y., Zhang, C.-F., & Zhao, J.-H. (2009). Review on Multi-Criteria Decision Analysis Aid in Sustainable Energy Decision-Making. Renewable and Sustainable Energy Reviews, 13(9), 2263–2278. https://doi.org/10.1016/j.rser.2009.06.021

Wang, T.-C., & Lee, H.-D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert Systems with Applications, 36(5), 8980–8985. https://doi.org/10.1016/j.eswa.2008.11.035

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X

Jurnal Informatika Universitas Pamulang Vol. 4 No. 1 Maret 2019

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2019-03-30

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Vol. 4 No. 1 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG

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