Decision Support System for Prioritizing Tourism Development Using the TOPSIS-Borda Method

Authors

  • Nurmaliana Pohan Universitas Putra Indonesia YPTK Padang
  • Harlan Kurnia AR Universitas Putra Indonesia YPTK Padang
  • Aulia Alsaf Salsabilla Universitas Islam Negeri Sumatera Utara
  • Deli Kartika Abrianisyah Universitas Islam Negeri Sumatera Utara
  • Dariana Tanjung Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.55537/spk.v4i1.1099

Keywords:

Decision Support System, Tourism Destination, TOPSIS, Borda, Digital Transformation

Abstract

The development of tourist destinations in North Sumatra Province holds significant potential but is hindered by challenges such as limited infrastructure and the absence of data-driven planning. This study aims to develop a Decision Support System (DSS) that integrates the TOPSIS and Borda methods to more effectively determine tourism development priorities. The TOPSIS method is employed to evaluate destination alternatives based on their closeness to the ideal solution, while the Borda method enhances the decision-making process through a ranking system that reflects stakeholder preferences. The results identify Kampung Ulos Huta Raja, Paropo Silalahi, and Desa Bakkara as the top destinations recommended for priority development. The integration of TOPSIS and Borda produces decisions that are more objective, consistent, and based on measurable criteria. This approach provides an innovative solution for tourism management, supports digital transformation, and enables governments and stakeholders to make more strategic and effective decisions.

Downloads

Download data is not yet available.

References

M. H. Ronaghi and M. Ronaghi, “A contextualized study of the usage of the augmented reality technology in the tourism industry,” Decis. Anal. J., vol. 5, no. June, p. 100136, 2022, doi: https://doi.org/10.1016/j.dajour.2022.100136.

F. Sgroi and F. Modica, “Digital technologies for the development of sustainable tourism in mountain areas,” Smart Agric. Technol., vol. 8, no. May, p. 100475, 2024, doi: https://doi.org/10.1016/j.atech.2024.100475.

L. Yanan, M. A. Ismail, and A. Aminuddin, “How has rural tourism influenced the sustainable development of traditional villages? A systematic literature review,” Heliyon, vol. 10, no. 4, p. e25627, 2024, doi: https://doi.org/10.1016/j.heliyon.2024.e25627.

Y. Maythu, A. O. J. Kwok, and P. L. Teh, “Blockchain technology diffusion in tourism: Evidence from early enterprise adopters and innovators,” Heliyon, vol. 10, no. 2, 2024, doi: https://doi.org/10.1016/j.heliyon.2024.e24675.

A. A. Alharmoodi, M. Khan, C. Mertzanis, S. Gupta, P. Mikalef, and V. Parida, “Co-creation and critical factors for the development of an efficient public e-tourism system,” J. Bus. Res., vol. 174, no. January 2023, p. 114519, 2024, doi: https://doi.org/10.1016/j.jbusres.2024.114519.

Y. Xiao, “Research and Development of Decision Support System for Tourism Management,” Sciendo, vol. 9, no. 1, pp. 1–22, 2024, doi: https://doi.org/10.2478/amns-2024-1606.

J. Shi and Y. Xiao, “Research on the pathways to high-quality development of tourism SMEs: A perspective of value assigned by quality, standards and brand,” Heliyon, vol. 10, no. 23, p. e39772, 2024, doi: https://doi.org/10.1016/j.heliyon.2024.e39772.

G. Lukoseviciute, C. N. Henriques, L. N. Pereira, and T. Panagopoulos, “Participatory development and management of eco-cultural trails in sustainable tourism destinations,” J. Outdoor Recreat. Tour., vol. 47, no. June, p. 100779, 2024, doi: https://doi.org/10.1016/j.jort.2024.100779.

L. Wang, “Enhancing tourism management through big data: Design and implementation of an integrated information system,” Heliyon, vol. 10, no. 20, 2024, doi: https://doi.org/10.1016/j.heliyon.2024.e38256.

P. Beraldi, A. De Maio, F. Olivito, G. Potrino, I. Straface, and A. Violi, “A Decision support system for trip tourism recommendation,” Int. J. Transp. Dev. Integr., vol. 5, no. 1, pp. 69–80, 2021, doi: https://doi.org/10.2495/TDI-V5-N1-69-80.

N. S. Mior Shariffuddin, M. Azinuddin, N. E. Yahya, and M. H. Hanafiah, “Navigating the tourism digital landscape: The interrelationship of online travel sites’ affordances, technology readiness, online purchase intentions, trust, and E-loyalty,” Heliyon, vol. 9, no. 8, p. e19135, 2023, doi: https://doi.org/10.1016/j.heliyon.2023.e19135.

X. Tao, L. Rylander, and J. Mårtensson, “Design of an intelligent post-diagnosis decision support system for highly automated trucks,” Unpubl. Manuscr., vol. 28, no. November, p. 101284, 2023, doi: https://doi.org/10.1016/j.trip.2024.101284.

A. Topadang and A. Triyono, “Decision support system for selection of tourism in Tana Toraja using technique for order preference method by similarity to ideal solution (topsis),” IOP Conf. Ser. Mater. Sci. Eng., vol. 885, no. 1, 2020, doi: https://doi.org/10.1088/1757-899X/885/1/012031.

R. M. Sheela and S. Dhanasekar, “Analyzing risk factors of tuberculosis using type-2 interval-valued trapezoidal fuzzy numbers with Einstein aggregation operators extended to MCDM,” Heliyon, vol. 10, no. 16, p. e35997, 2024, doi: https://doi.org/10.1016/j.heliyon.2024.e35997.

S. Hosouli and R. A. Hassani, “Application of multi-criteria decision making (MCDM) model for solar plant location selection,” Results Eng., vol. 24, no. October, p. 103162, 2024, doi: https://doi.org/10.1016/j.rineng.2024.103162.

A. Bali, S. M. Monavari, B. Riazi, N. Khorasani, and M. M. K. Zarkesh, “A spatial decision support system for ecotourism development in caspian hyrcanian mixed forests ecoregion,” Bol. Ciencias Geod., vol. 21, no. 2, pp. 340–353, 2015, doi: https://doi.org/10.1590/S1982-21702015000200001.

H. S. Shih, H. J. Shyur, and E. S. Lee, “An extension of TOPSIS for group decision making,” Math. Comput. Model., vol. 45, no. 7–8, pp. 801–813, 2007, doi: https://doi.org/10.1016/j.mcm.2006.03.023.

C. Z. Radulescu, M. Radulescu, and R. Boncea, “A Linear Trade-off Group TOPSIS method with application for Internet of Things devices ranking,” Procedia Comput. Sci., vol. 242, pp. 528–535, 2024, doi: https://doi.org/10.1016/j.procs.2024.08.099.

A. R. Krishnan, M. R. Hamid, G. H. Tanakinjal, M. F. Asli, B. Boniface, and M. F. Ghazali, “An investigation to offer conclusive recommendations on suitable benefit/cost criteria-based normalization methods for TOPSIS,” MethodsX, vol. 10, no. May, p. 102227, 2023, doi: https://doi.org/10.1016/j.mex.2023.102227.

R. K. Dewi, E. M. A. Jonemaro, A. P. Kharisma, N. A. Farah, and M. F. Dewantoro, “TOPSIS for mobile based group and personal decision support system,” Regist. J. Ilm. Teknol. Sist. Inf., vol. 7, no. 1, pp. 43–49, 2021, doi: https://doi.org/10.26594/register.v7i1.2140.

S. Wibowo, M. A. Tyas, N. Q. Nada, and M. Novita, “Decision Support System Museum Ambassadors Using Topsis Method,” IOP Conf. Ser. Mater. Sci. Eng., vol. 835, no. 1, 2020, doi: https://doi.org/10.1088/1757-899X/835/1/012037.

S. Chatterjee and S. Chakraborty, “A study on the effects of objective weighting methods on TOPSIS-based parametric optimization of non-traditional machining processes,” Decis. Anal. J., vol. 11, no. February, p. 100451, 2024, doi: https://doi.org/10.1016/j.dajour.2024.100451.

V. V. Chistyakov, “On the superposition of the Borda and threshold preference orders for three-graded rankings,” Procedia Comput. Sci., vol. 31, pp. 1032–1035, 2014, doi: https://doi.org/10.1016/j.procs.2014.05.356.

Z. Terzopoulou and U. Endriss, “The Borda class: An axiomatic study of the Borda rule on top-truncated preferences,” J. Math. Econ., vol. 92, pp. 31–40, 2021, doi: https://doi.org/10.1016/j.jmateco.2020.11.001.

C. Z. Radulescu, M. Radulescu, and R. Boncea, “A Hybrid Group Weighting Method based on the Borda and the Group Best Worst Method with application for digital development indicators,” Procedia Comput. Sci., vol. 214, no. C, pp. 10–17, 2022, doi: https://doi.org/10.1016/j.procs.2022.11.142.

M. Z. Salleh et al., “A hybrid of borda-topsis for risk analysis of islamic state network development in southeast Asia,” Decis. Sci. Lett., vol. 10, no. 2, pp. 185–194, 2021, doi: https://doi.org/10.5267/j.dsl.2020.11.001.

B. Moreno and P. Salmaso, “The Borda and Condorcet winners coincide for lexicographic preferences,” Econ. Lett., vol. 238, no. December 2023, pp. 2023–2025, 2024, doi: https://doi.org/10.1016/j.econlet.2024.111704.

Hamdani et al., “Recommendation method for selecting the rice seeds based on group decision support system,” IAES Int. J. Artif. Intell., vol. 13, no. 3, pp. 2656–2665, 2024, doi: https://doi.org/10.11591/ijai.v13.i3.pp2656-2665.

Y. Guo, J. Yu, Y. Zhu, and H. Zhang, “Research on tourism ecological safety evaluation of Huizhou Cultural and ecological reserve based on entropy -TOPSIS,” Heliyon, vol. 10, no. 2, 2024, doi: https://doi.org/10.1016/j.heliyon.2024.e24325.

S. Forouzandeh, M. Rostami, and K. Berahmand, “A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model,” Fuzzy Inf. Eng., vol. 14, no. 1, pp. 26–50, 2022, doi: https://doi.org/10.1080/16168658.2021.2019430.

S. Barberà, W. Bossert, and J. D. Moreno-Ternero, “Wine rankings and the Borda method,” J. Wine Econ., vol. 18, no. 2, pp. 122–138, 2023, doi: https://doi.org/10.1017/jwe.2023.7.

F. Ciardiello and A. Genovese, “A comparison between TOPSIS and SAW methods,” Ann. Oper. Res., vol. 325, no. 2, pp. 967–994, 2023, doi: https://doi.org/10.1007/s10479-023-05339-w.

Downloads

Published

2025-04-30

How to Cite

[1]
N. Pohan, H. K. AR, A. A. Salsabilla, D. K. Abrianisyah, and D. Tanjung, “Decision Support System for Prioritizing Tourism Development Using the TOPSIS-Borda Method”, SPK dengan Aplikasi, vol. 4, no. 1, pp. 17–28, Apr. 2025.

Issue

Section

Articles