Implementation of the Simple Additive Weighting (SAW) Method in a Decision Support System for Tourist Destination Selection in North Bali
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North Bali boasts remarkable natural and cultural attractions, but the process of choosing the best tourist spots is still based on personal opinions and lacks consistency. Without a fair and organized way to evaluate options, visitors and those involved often depend only on trends or individual tastes, which hinders effective promotion and handling of destinations. This research seeks to create a Decision Support System (DSS) that employs the Simple Additive Weighting (SAW) technique to fairly evaluate and rank travel sites using various factors like ease of access, appeal, amenities, hygiene, expenses, fame, security, and crowd levels. The suggested framework combines these prioritized elements to generate an overall rating for each potential location. By examining data from ten well-known spots in North Bali, Pura Ulun Danu Beratan topped the list with a score of (0.8800), showing excellence in most assessed aspects. The findings show that the SAW approach can reliably aid complex choices in tourism oversight, ensuring clear and dependable rankings. This tool offers a flexible and expandable structure suitable for evaluating tourism in other areas. Upcoming efforts will focus on adding live data feeds and visitor input via online or app interfaces to boost the system's precision and ease of use.
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Utama Giri, I. G., & Dewa, H. P. (2025). Implementation of the Simple Additive Weighting (SAW) Method in a Decision Support System for Tourist Destination Selection in North Bali. Jurnal Sistem Informasi Dan Komputer Terapan Indonesia (JSIKTI), 6(1), 450-459. https://doi.org/10.33173/jsikti.261
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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[2] L. Chen and Y. Zhang, “Data-Driven Approaches in Tourism Planning: Integrating MCDM and Big Data Analytics,” Tourism Economics, vol. 28, no. 4, pp. 915–934, 2022.
[3] K. D. Utami and A. R. Prasetyo, “Sistem Pendukung Keputusan Pemilihan Destinasi Wisata Menggunakan Metode SAW,” Jurnal Teknologi dan Sistem Informasi, vol. 9, no. 2, pp. 125–134, 2022.
[4] P. Suparman, I. G. Wirawan, and M. Jaya, “Model Pendukung Keputusan untuk Pengembangan Wisata Berkelanjutan di Bali,” Jurnal Pariwisata Indonesia, vol. 15, no. 1, pp. 43–55, 2023.
[5] S. Rahim and M. N. Fitri, “Multi-Criteria Evaluation for Tourist Destination Ranking Using DSS,” Procedia Computer Science, vol. 211, pp. 376–384, 2022.
[6] D. T. Nugroho, “Simple Additive Weighting (SAW) Method for Tourism Site Selection: Case Study in East Java,” Indonesian Journal of Information Systems, vol. 5, no. 1, pp. 56–64, 2023.
[7] M. Kusuma and F. Hartati, “Implementation of MCDM Methods for Decision Support Systems in the Tourism Sector,” International Journal of Advanced Computer Science, vol. 33, no. 2, pp. 221–230, 2022.
[8] N. A. Hasanah, “Comparative Study of SAW, TOPSIS and AHP Methods for Multi-Criteria Decision Making,” Journal of Intelligent Systems and Computing, vol. 11, no. 3, pp. 75–83, 2021.
[9] R. Dewi and B. Setiawan, “Decision Support for Destination Prioritization Using Weighted Criteria Approach,” Tourism Research Review, vol. 24, no. 2, pp. 99–110, 2023.
[10] M. L. Hidayat and S. Budi, “Designing DSS for Tourism Recommendation Based on Multi-Attribute Decision Making,” International Conference on Information Technology (ICIT), IEEE, pp. 455–461, 2022.
[11] A. N. Santoso, “Application of SAW for Tourist Destination Evaluation in Bali,” Jurnal Informatika dan Rekayasa Sistem, vol. 10, no. 1, pp. 33–42, 2023.
[12] E. Wulandari, “Multi-Criteria Analysis in Decision Support Systems for Tourism Site Selection,” Indonesian Journal of Data Science, vol. 4, no. 3, pp. 128–137, 2022.
[13] F. Priyono and T. Nurcahyo, “Integrating SAW and Web-Based DSS for Tourism Planning,” Jurnal Teknologi Informasi dan Komputer, vol. 10, no. 2, pp. 44–53, 2022.
[14] J. Li and X. Wu, “Hybrid MCDM Techniques in Sustainable Tourism Decision Systems,” Sustainability, vol. 13, no. 22, p. 12718, 2021.
[15] M. M. Yuliani and D. Putra, “Decision Support for Tourism Destination Selection Using Fuzzy SAW,” Jurnal Rekayasa Teknologi dan Sistem Komputer, vol. 7, no. 4, pp. 201–210, 2023.
[16] T. D. Nguyen, “Decision Support System Development Using Multi-Attribute Decision Making,” IEEE Access, vol. 9, pp. 89763–89774, 2021.
[17] H. Kurniawan and P. Lestari, “Comparative Study of MCDM Methods for Strategic Decision Making,” Journal of Applied Computer Science and Technology, vol. 12, no. 2, pp. 71–81, 2022.
[18] M. R. Saputra, “Tourism Ranking Using SAW and TOPSIS Methods: Case of East Nusa Tenggara,” Jurnal Sistem Informasi Terapan, vol. 8, no. 1, pp. 16–25, 2023.
[19] Y. H. Lee, “Web-Based Decision Support for Tourist Destination Selection,” International Journal of Information Management Data Insights, vol. 1, no. 2, p. 100022, 2021.
[20] P. Kumar and V. Rao, “Supplier Selection Using SAW in Multi-Attribute Environment,” International Journal of Industrial Engineering Computations, vol. 12, no. 3, pp. 345–356, 2021.
[21] L. Septiani, “Decision Support System for Scholarship Selection Using SAW,” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 9, no. 4, pp. 899–906, 2022.
[22] N. S. Fadilah, “House Selection Decision Support Using SAW Method,” Jurnal Sistem Informasi dan Komputerisasi Akuntansi, vol. 10, no. 2, pp. 210–218, 2021.
[23] M. Suharto, “AHP-Based Decision Support for Coastal Tourism Development,” Jurnal Pariwisata Nusantara, vol. 5, no. 1, pp. 44–55, 2022.
[24] E. A. Sari, “Comparison of AHP and SAW for Ranking Tourism Destinations,” Jurnal Teknologi dan Sistem Informasi, vol. 10, no. 2, pp. 143–151, 2023.
[25] J. Zhou, “Hybrid SAW–TOPSIS Model for Tourism Decision Support,” Procedia Computer Science, vol. 207, pp. 789–798, 2022.
[26] D. Haris and R. F. Prabowo, “Fuzzy SAW Approach for Tourism Site Recommendation,” International Journal of Decision Sciences and Information Technology, vol. 11, no. 1, pp. 55–66, 2023.
[27] I. G. W. Putra and L. Mahendra, “Decision Support System for Eco-Tourism Selection in Indonesia,” Journal of Sustainable Tourism Systems, vol. 6, no. 3, pp. 101–113, 2022.
[28] A. K. Nugraha, “Tourism Site Selection in Yogyakarta Using SAW,” Jurnal Teknologi Informasi Indonesia, vol. 8, no. 1, pp. 22–30, 2023.
[29] F. Lestari, “Eco-Tourism Evaluation Using SAW Method in West Java,” Jurnal Rekayasa dan Sistem Informasi, vol. 7, no. 2, pp. 145–153, 2023.
[30] G. Wijaya, “Web-Based DSS for Tourist Village Selection Using SAW,” Jurnal Sistem Informasi Bisnis, vol. 11, no. 3, pp. 201–210, 2022.
[31] J. P. Chandra, “Hotel Service Quality Evaluation Using SAW,” Jurnal Informatika dan Teknologi Komputer, vol. 10, no. 2, pp. 221–229, 2022.
[32] P. Y. H. Tan, “Optimization of Travel Routes Using Weighted Criteria Model,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 6, pp. 6782–6794, 2023.
[33] R. A. Mahendra and T. Hidayati, “Implementation of MCDM Methods for Smart Tourism Applications,” Smart Computing and Systems Journal, vol. 2, no. 1, pp. 11–21, 2024.
[34] A. K. Wardana, “Tourism Ranking Model Using SAW in Decision Support Systems,” Jurnal Rekayasa Sistem dan Teknologi Informasi, vol. 11, no. 2, pp. 66–74, 2022.
[35] H. Siregar and D. Aryani, “Analysis of Accessibility in Tourism Decision Systems,” Tourism Technology Review, vol. 3, no. 2, pp. 119–127, 2023.
[36] M. P. Satria, “Sensitivity Analysis of SAW for Tourism Decision Making,” Indonesian Journal of Computing and Informatics, vol. 8, no. 2, pp. 98–106, 2022.
[37] L. Zhang and H. Wu, “Data Validation for Tourist Ranking Models Using SAW,” International Journal of Information Systems and Tourism, vol. 14, no. 1, pp. 42–53, 2021.
[38] A. Ramli and R. Maulana, “Transparency in Decision Support Models for Tourism,” Journal of Applied Decision Analytics, vol. 9, no. 3, pp. 65–74, 2022.
[39] F. Yusof, “Adaptive Weighting in Multi-Criteria Tourism Evaluation,” Journal of Advanced Decision Sciences, vol. 6, no. 2, pp. 211–222, 2023.
[40] J. T. Prasetya, “Normalization and Data Transformation in SAW for Decision Support Systems,” Jurnal Teknologi Komputer dan Sistem Cerdas, vol. 9, no. 1, pp. 41–49, 2022.
[41] M. Liu and S. Lin, “Scalable Multi-Criteria Decision Support for Smart Tourism Applications,” IEEE Access, vol. 11, pp. 104223–104234, 2023.
[42] C. Y. Park, “Comparative Analysis of AHP and SAW for Sustainable Decision Making,” Applied Computing and Informatics, vol. 20, no. 3, pp. 156–165, 2024.
[43] D. Wang, “TOPSIS-Based Evaluation for Tourism Development,” Procedia Computer Science, vol. 204, pp. 652–660, 2022.
[44] B. Hartono, “Performance Comparison Between SAW and TOPSIS Methods,” Jurnal Teknologi dan Sistem Informasi, vol. 10, no. 3, pp. 155–162, 2022.
[45] J. Setyawan and L. Anggraeni, “Hybrid MCDM Approach for Smart Tourism,” Jurnal Sistem Informasi dan Rekayasa Komputer, vol. 9, no. 2, pp. 77–86, 2023.
[46] A. F. Putri, “Integration of Data Analytics and SAW for Destination Recommender Systems,” Jurnal Teknologi dan Sains Komputer, vol. 7, no. 4, pp. 245–254, 2023.
[47] R. Handayani, “Decision Support Systems for Sustainable Tourism Planning,” International Journal of Sustainability and Tourism Studies, vol. 5, no. 1, pp. 23–34, 2024.
[48] D. Yu and L. Zheng, “Cloud-Based Decision Systems for Smart Destinations,” IEEE Internet of Things Journal, vol. 10, no. 9, pp. 9023–9032, 2023.
[49] M. Irwansyah and A. Widodo, “Comparative Evaluation of SAW, AHP, and TOPSIS in Tourism DSS,” Journal of Computing and Information Engineering, vol. 8, no. 1, pp. 33–42, 2022.
[50] C. L. Huang, “Optimization of Weight Parameters in Multi-Criteria Decision Models,” Expert Systems with Applications, vol. 231, no. 3, p. 120892, 2024.
[51] H. Q. Nguyen, “Deep Learning for Visual Analysis of Tourist Attractions,” IEEE Access, vol. 12, pp. 14455–14468, 2024.
[52] T. A. Syafitri, “Hybrid Fuzzy–SAW Model for Sustainable Tourism DSS,” Jurnal Teknologi Informasi dan Sains Komputasi, vol. 10, no. 2, pp. 122–133, 2023.
[53] M. Z. Zhao, “Fuzzy Logic in Multi-Criteria Tourism Evaluation,” Tourism and Hospitality Research, vol. 23, no. 5, pp. 851–863, 2023.
[54] F. P. Rakhmawati, “Optimization of Decision Weights Using Particle Swarm Algorithm,” Jurnal Sistem Cerdas dan Komputasi Terapan, vol. 8, no. 2, pp. 178–186, 2023.
[55] R. D. Putra and J. Limantara, “IoT-Based Real-Time Decision Support for Smart Tourism,” IEEE Sensors Journal, vol. 25, no. 4, pp. 5331–5342, 2025.
