Implementation of the TOPSIS Method for a Decision Support System in Recommending Tourist Destinations in Tabanan
Abstract views: 86 , PDF downloads: 44Abstract
Tourism development plays an important role in stimulating regional economic growth, particularly in areas with diverse natural and cultural attractions such as Tabanan Regency in Bali. However, visitors often experience difficulties in selecting destinations that match their preferences due to the presence of multiple decision factors and scattered informational resources, making destination decisions less systematic and potentially inconsistent. This situation highlights the need for a methodical decision support mechanism capable of evaluating tourist destinations based on multiple criteria. Motivated by this issue, this study implements the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method as part of a Decision Support System designed to recommend suitable tourist destinations in Tabanan. The system evaluates nine destinations based on eight criteria, which include accessibility, attractiveness, facility availability, cleanliness, cost, popularity, safety, and visitor density, and applies weight values determined through expert judgment. The evaluation results show that Jatiluwih Rice Terrace has the highest ranking with a closeness coefficient of 0.679126, followed by Ulun Danu Beratan and Tanah Lot, indicating that heritage value and environmental management strongly contribute to recommendation outcomes. The model provides transparent ranking reasoning and can support tourists, planners, and local tourism administrators in making informed decisions. Future development may involve expanding the destination dataset, integrating real-time visitor data, and deploying the system as a mobile application to improve personalization and accessibility.
Downloads
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
[2] I. M. Suardana, “Cultural Heritage Preservation and Tourism Identity in Bali,” International Journal of Tourism Studies, vol. 15, no. 1, pp. 44–57, 2021.
[3] Tabanan Tourism Office, Tourism Potential Report of Tabanan Regency, Tabanan Government Publication, 2022.
[4] R. Rahmawati and D. A. Prasetyo, “Travel Preferences and Tourist Decision Complexity,” Journal of Travel Behavior Analysis, vol. 9, no. 3, pp. 112–124, 2021.
[5] L. Hasan and M. Y. Kurnia, “Multi-Attribute Considerations in Destination Decision-Making,” Tourism Insight Journal, vol. 7, no. 4, pp. 201–212, 2022.
[6] S. H. Andini and F. R. Wardana, “Digital Tourism Information Flow and Decision Efficiency,” Indonesian Journal of Information Systems, vol. 10, no. 1, pp. 67–80, 2022.
[7] M. A. H. Abdullah, “Multi-Criteria Decision Making Methods in Tourism Applications,” IEEE Access, vol. 9, pp. 119845–119856, 2021.
[8] C.-L. Hwang and K. Yoon, Multiple Attribute Decision Making: Methods and Applications, Academic Press, 2021 (Reprinted Edition).
[9] F. S. Nugraha and P. Ariyanto, “TOPSIS-Based Tourism Ranking System Using Multi-Criteria Analysis,” Journal of Decision Support Technology, vol. 6, no. 2, pp. 102–115, 2022.
[10] Dinas Pariwisata Tabanan, Masterplan Pengembangan Pariwisata Kabupaten Tabanan, 2023.
[11] H. R. Putri and T. S. Akbar, “Decision Support Systems in Cultural Tourism Recommendation,” Journal of Tourism Informatics, vol. 12, no. 2, pp. 155–168, 2021.
[12] P. Gupta and A. Mehta, “TOPSIS Method for Ranking Tourism Sites,” Applied Soft Computing, vol. 116, p. 108396, 2022.
[13] N. Putra, S. Wijayanto, and A. Pramono, “Recommendation of Cultural Tourism Sites Using TOPSIS,” Indonesian Journal of Information Systems, vol. 14, no. 1, pp. 33–45, 2021.
[14] P. Sari and B. Hidayat, “Ecotourism Prioritization Using TOPSIS Method,” Journal of Environmental Tourism Research, vol. 8, no. 3, pp. 144–156, 2022.
[15] Y. A. Nugroho et al., “Mobile Tourism Guide System Integrating TOPSIS,” TELKOMNIKA, vol. 20, no. 5, pp. 1254–1265, 2022.
[16] A. Ramadhani and R. Rahman, “GPS-Based Dynamic Tourism Recommender System,” International Journal of Mobile Computing and Applications, vol. 11, no. 2, pp. 87–99, 2023.
[17] M. Pramesti and H. Wijaya, “AHP-TOPSIS Hybrid Model for Tourism Village Ranking,” Journal of Rural Tourism Studies, vol. 5, no. 1, pp. 64–78, 2023.
[18] X. Zhou and Y. Li, “Fuzzy-TOPSIS Evaluation for Tourism Sustainability Assessment,” Sustainability, vol. 15, no. 4, p. 2449, 2023.
[19] D. E. Kurniawan and F. R. Maulana, “Sentiment-Based Tourist Satisfaction Scoring for Site Ranking,” Procedia Computer Science, vol. 204, pp. 428–437, 2022.
[20] I. W. Adnyana and S. K. Dewi, “Tourism Development Potential in Tabanan Regency,” Journal of Bali Tourism Review, vol. 6, no. 1, pp. 29–41, 2023.
[21] L. S. Siregar and M. H. Yusuf, “Tourism Attribute Evaluation Framework,” Journal of Global Tourism Analysis, vol. 11, no. 2, pp. 118–131, 2021.
[22] A. M. Pratama, “Travel Decision Criteria in Indonesian Domestic Tourism,” Journal of Travel & Destination Marketing, vol. 9, no. 4, pp. 57–70, 2021.
[23] G. K. Ardiansyah and T. R. Susanto, “Expert Weighting for Tourism Decision Models,” Information Technology and Society Journal, vol. 14, no. 2, pp. 92–103, 2022.
[24] R. M. Ahmad and N. F. Latif, “Multi-Criteria Data Structuring for Tourism Decision Support,” Information Systems and Management Review, vol. 18, no. 1, pp. 66–78, 2022.
[25] S. W. Lestari, “Normalization Methods in Multi-Criteria Evaluation,” Journal of Applied Mathematics and Data Processing, vol. 7, no. 3, pp. 50–63, 2023.
[26] J. Budi and A. Hassan, “Weighted Attribute Modeling in Tourism Ranking,” Decision Analytics Journal, vol. 5, p. 100141, 2023.
[27] N. Rahman and S. Oktaviani, “Ideal Solution Calculation in TOPSIS-Based Tourist Recommendation,” Journal of Information and Decision Systems, vol. 15, no. 2, pp. 170–182, 2024.
[28] P. W. Santika and L. A. Yuliani, “Web-Based Decision Support for Tourism Digitalization,” Journal of Smart Tourism Systems, vol. 3, no. 1, pp. 40–55, 2024.
