Login
Section Computer Science

Decision Support System for Minahasa Cultural Preservation Priorities Using SAW TOPSIS


Sistem Pendukung Keputusan Prioritas Pelestarian Budaya Minahasa Berbasis SAW dan TOPSIS
Vol. 11 No. 1 (2026): June :

Fajriyan Anthone (1), Audy Aldrin kenap (2), Elni Jeini Usoh (3)

(1) Informatics Engineering Study Program, Faculty of Engineering, Manado State University, Indonesia
(2) Informatics Engineering Study Program, Faculty of Engineering, Manado State University, Indonesia
(3) Informatics Engineering Study Program, Faculty of Engineering, Manado State University, Indonesia
Fulltext View | Download

Abstract:

General Background The rapid development of digital technology requires structured systems to support sustainable cultural heritage preservation through data-driven approaches. Specific Background In Minahasa, cultural assets such as ceremonies and traditional clothing face challenges due to limited analytical systems for prioritization, as existing platforms mostly function as static repositories. Knowledge Gap Previous studies rarely integrate multiple Multi-Criteria Decision Making methods simultaneously in cultural preservation contexts, and cross-validation between SAW and TOPSIS remains limited. Aims This study aims to design and implement a web-based Decision Support System to determine preservation priorities of Minahasa cultural heritage using SAW and TOPSIS methods. Results The system, developed using the waterfall model and validated through testing, shows consistent ranking results, with the Waruga Traditional Funeral Ceremony identified as the highest priority, followed by Kabasaran Traditional Clothing, while minor variations appear in mid-ranked alternatives. Novelty The study introduces a comparative integration of SAW and TOPSIS within a web-based system to evaluate ranking consistency and sensitivity in cultural heritage decision-making. Implications The findings provide a quantitative and transparent model that supports objective policy formulation and promotes sustainable, data-driven cultural preservation strategies for local governments.


Highlights
• Consistent ranking results across dual multi-criteria algorithms
• Waruga ceremony identified as highest preservation priority
• Web-based system supports transparent policy formulation


Keywords
Decision Support System; Cultural Heritage; Minahasa; SAW Method; TOPSIS Method

Downloads

Download data is not yet available.

References

[1] V. P. Dewi and Susilawati, “Community Service Journal of Academics,” J. Pengabdi. Masy., vol. 2, no. 2, pp. 170–175, 2024.

[2] S. Novi Fitria and IAI, “The Impact of Technology and Communication on the Preservation of Local Culture,” J. Soc. Relig. Res., vol. 14, no. Feb., pp. 4–6, 2024.

[3] G. D. P. Maramis, “Evaluating Learning Management Systems in University: Evidence in University in North Sulawesi,” Int. J. Inf. Technol. Educ., vol. 2, no. 2, pp. 103–118, 2023, doi: 10.62711/ijite.v2i2.109.

[4] H. Setiawan and F. Haiqal, “Decision Support System Using the Technique for Order Preference by Similarity to Ideal Solution Method to Determine Underprivileged Scholarship Recipients at SMK Negeri 1 Bintan Timur,” J. Bangkit Indones., vol. 10, no. 2, pp. 32–40, 2021, doi: 10.52771/bangkitindonesia.v10i2.199.

[5] F. A. Damanik, “SAW and TOPSIS Methods in Decision Support Systems: A Systematic Literature Review,” J. Kewirausahaan Bukit Pengharapan, vol. 3, no. 1, pp. 108–118, 2023, doi: 10.61696/juwira.v3i1.444.

[6] J. Sumardjo, Indonesian Cultural Archaeology: A Hermeneutic-Historical Exploration of Indonesian Cultural Artifacts. Bandung: Kefas Publisher, 2021.

[7] R. Fiksiwan, “Brief Notes of a Historian and Fiction Writer from NDC Manado,” 2025. [Online]. Available: https://www.facebook.com/reel/2633503307017675

[8] S. I. Luthfiyah and R. C. N. Santi, “Decision Support System (DSS) for Determining Research Algorithms/Methods Using the Simple Additive Weighting (SAW) Method,” J. Inform. dan Rekayasa Elektron., vol. 5, no. 2, pp. 173–180, 2022, doi: 10.36595/jire.v5i2.678.

[9] S. M. Sumarno and J. M. Harahap, “Decision Support System in Determining the Selection of Head of Unit (Kanit) PPA Using the Weighted Product Method,” JUST IT J. Sist. Inf. Teknol. Inf. dan Komput., vol. 11, no. 1, pp. 37–44, 2020, doi: 10.24853/justit.11.1.37-44.

[10] L. Fauziah, A. Firmansyah, and A. Aguswin, “Web-Based School Information System Using the Waterfall Method: Case Study at SMPI Al-Hudri Walibrah,” REMIK Ris. dan E-Jurnal Manaj. Inform. Komput., vol. 8, no. 1, pp. 274–285, 2024.

[11] I. R. Wulandari et al., “Application of AHP and TOPSIS Methods in a Decision Support System for Rice Seed Selection,” Progresif J. Ilm. Komput., vol. 19, no. 1, p. 456, 2023, doi: 10.35889/progresif.v19i1.1200.

[12] C. Yatusifa, G. W. N. Wibowo, and Sarwido, “Implementation of the Simple Additive Weighting (SAW) Method in a Decision Support System for Employment Contract Determination at PT. Chia Jiann Furniture Indonesia,” J. Indones. Manaj. Inform. dan Komun., vol. 5, no. 3, pp. 2813–2826, 2024, doi: 10.35870/jimik.v5i3.1026.

[13] R. R. A. A. Pelealu, D. Wonggo, and O. Kembuan, “Design and Implementation of Computer Networks,” Jointer, vol. 1, no. 1, p. 6, 2020.

[14] M. Papić et al., “Multi-criteria Decision-making in the Tourism Domain: The Past, Present and Future of the Research Field,” J. Sci. Ind. Res., vol. 82, no. 7, pp. 721–735, 2023, doi: 10.56042/jsir.v82i07.1968.

[15] C. Angi, L. P. Sumirat, and B. Santoso, “Design and Development of a Web-Based Cultural Information System for Nagekeo Regency,” Progresif J. Ilm. Komput., vol. 21, no. 1, pp. 202–213, 2025.

[16] A. Andriani and M. Munawaroh, “The Influence of Digitalization on the Baduy Tribe Community in Preserving Ancestral Customs and Traditions,” MASMAN Master Manaj., vol. 3, no. 1, pp. 74–86, 2025, doi: 10.59603/masman.v3i1.710.

[17] W. Hidayat, A. Supriyatna, and W. Anugrah, “Application of the Simple Additive Weighting Method for On-Site Engineer Reward Recommendation,” Digit. Transform. Technol., vol. 4, no. 2, pp. 1001–1011, 2025, doi: 10.47709/digitech.v4i2.5171.

[18] A. A. Syanzani, N. Azrina, and V. Fitriani, “Application of the Simple Additive Weighting (SAW) Method in a Decision Support System for High School Major Selection,” J. Sist. Inf., vol. 13, no. 1, pp. 34–45, 2024.

[19] K. A. Fakieh and K. A. Fakeeh, “Decision Support Systems (DSS) in Higher Education System,” Int. J. Appl. Inf. Syst., vol. 9, no. 2, pp. 32–40, 2015.

[20] E. Nasution et al., “Technology of Plant Fertilizer Devices in Greenhouses Using Liquid Fertilizer Based on Outseal,” vol. 4, no. 2, pp. 8–15, 2023.

[21] R. A. Rachman Jaya, E. Fitria, and Yusriana, “Implementation of Multi-Criteria Decision Making (MCDM) in Agroindustry: A Literature Review,” J. Teknol. Ind. Pertan., vol. 30, no. 2, pp. 234–343, 2020, doi: 10.24961/j.tek.ind.pert.2020.30.2.234.

[22] A. Sani et al., “Analysis of Decision Support Systems for Candidate Selection of Scholarship Recipients Using the TOPSIS Method,” 2022, doi: 10.4108/eai.16-4-2022.2320136.

[23] F. R. Darmawan, E. L. Amalia, and U. D. Rosiani, “Application of the TOPSIS Method in a Decision Support System for Cities Implementing Large-Scale Social Restrictions Due to the COVID-19 Outbreak,” J. Sist. dan Teknol. Inf., vol. 9, no. 2, p. 250, 2021, doi: 10.26418/justin.v9i2.43896.

[24] H. Handayani et al., “Design of a Web-Based Inventory Information System Using the Agile Software Development Method,” J. Test. dan Implementasi Sist. Inf., vol. 1, no. 1, pp. 29–40, 2023, doi: 10.55583/jtisi.v1i1.324.

[25] G. K. Siregar and L. J. Susanto, “Decision Support System for Boarding House Selection Using the Simple Additive Weighting (SAW) Method,” J. Ilm. Sist. Inf., vol. 1, no. 2, pp. 31–36, 2022.

[26] K. Nasution and L. Hanum, “Application of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Method in Determining the Most Popular Online Game,” Bul. Utama Tek., vol. 15, no. 2, pp. 142–146, 2020.

[27] A. Prasetyo, T. Ridwan, and A. Voutama, “Sentiment Analysis of the GBWhatsApp Application Using Naive Bayes and Random Forest Classifiers,” JSiI (Jurnal Sist. Informasi), vol. 11, no. 1, pp. 1–9, 2024, doi: 10.30656/jsii.v11i1.6936.