Kerangka Multi-Tahap WSM dan PROMETHEE II untuk Seleksi Vendor Cloud Bank Digital

Andri Yudha Pratama; Rianto Rianto

doi:10.47134/jacis.v6i2.205

Authors

Andri Yudha Pratama Universitas Teknologi Yogyakarta https://orcid.org/0009-0007-5704-8231
Rianto Rianto Universitas Teknologi Yogyakarta

DOI:

https://doi.org/10.47134/jacis.v6i2.205

Keywords:

Cloud Vendor Selection, MCDM, Weighted Sum Model, PROMETHEE II, BWM

Abstract

Transformasi digital perbankan mendorong adopsi cloud computing sebagai infrastruktur utama layanan keuangan modern. Pemilihan vendor cloud pada bank digital merupakan tantangan multidimensi yang mencakup aspek keamanan, ketersediaan layanan, latensi, kapasitas, dan biaya operasional, serta kepatuhan terhadap regulasi Otoritas Jasa Keuangan (OJK) dan Bank Indonesia. Penelitian ini mengusulkan kerangka sistem rekomendasi multi-tahap berbasis Multi-Criteria Decision Making (MCDM) yang mengintegrasikan Weighted Sum Model (WSM) dan PROMETHEE II. Dataset sintetis 100.000 kandidat vendor direduksi menjadi 50.000 sampel melalui stratified sampling proporsional dengan 256 strata. Pada Fase 1, WSM menyaring 10.000 vendor terbaik menggunakan ambang batas skor 0,633624. Pada Fase 2, PROMETHEE II menghasilkan peringkat berbasis Net Flow (Φ). Vendor CLOUD_071856 meraih peringkat pertama dengan Φ = +0,6295, Security Index 10,00/10, dan SLA Uptime 99,854%. Kerangka yang diusulkan terbukti efektif, skalabel secara komputasional, dan relevan dengan kebutuhan regulasi nasional dalam mendukung pengambilan keputusan pemilihan vendor cloud pada sektor perbankan digital Indonesia

References

[1] T. Felipe, M. Kaya, S. Mathews, and R. Torres de Oliveira, “Rethinking digital transformation in commercial banking: A longitudinal analysis of business model innovation,” Digital Business, vol. 6, no. 2, pp. 1–17, 2026, doi: 10.1016/j.digbus.2026.100177.

[2] G. Lambropoulos, S. Mitropoulos, and C. Douligeris, “Emerging Technologies in Financial Services: From Virtualization and Cloud Infrastructures to Edge Computing Applications,” Computers, vol. 15, no. 1, pp. 1–37, 2026, doi: 10.3390/computers15010041.

[3] E. J. Adwan and B. A. Alsaeed, “Cloud Computing adoption in the financial banking sector-A systematic litreture review (2011-2021),” International Journal of Advanced Science Computing and Engineering, vol. 4, no. 1, pp. 48–55, 2022, doi: 10.62527/ijasce.4.1.73.

[4] H. Al-Malahmeh, “The role of cloud computing in supporting decision making: Evidence from banking industry,” International Journal of Data and Network Science, vol. 7, no. 1, pp. 131–140, 2023, doi: 10.5267/j.ijdns.2022.11.009.

[5] M. E. Rana, T. M. Yik, and V. A. Hameed, “Cloud Computing Adoption in the Banking Sector: A Comparative Analysis of Three Major CSPs,” in 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 244–250. doi: 10.1109/BDAI59165.2023.10256870.

[6] B. A. Brahmandam, “Cloud Migration and Hybrid Infrastructure in Financial Institutions,” International Journal of Computer science engineering Techniques, vol. 9, no. 1, pp. 42–46, 2025, doi: 10.5281/zenodo.15359670.

[7] Y. Hilmi, “Cloud computing-based banking and management control,” International Journal of Automation and Digital Transformation, vol. 3, no. 1, pp. 86–92, 2024, doi: 10.54878/wdmdjp25.

[8] H. Y. Adarbah and A. H. Al-Badi, “Banking on the Cloud: Insights into Security and Smooth Operations‎,” Journal of Business, Communication & Technology, vol. 2, no. 2, pp. 1–14, 2023, doi: 10.56632/bct.2023.2201.

[9] N. R. Panguluri, “Cloud Computing and Its Impact on the Security of Financial Systems,” Computer Science and Engineering, vol. 2024, no. 6, pp. 121–128, 2024, doi: 10.5923/j.computer.20241406.01.

[10] Presiden Republik Indonesia, Undang-undang Republik Indonesia Nomor 27 Tahun 2022 Tentang Pelindungan Data Pribadi. Indonesia, 2022.

[11] Otoritas Jasa Keuangan, Peraturan Otoritas Jasa Keuangan Republik Indonesia Nomor 11/POJK.03/2022 tentang Penyelengaraan Teknologi Informasi oleh Bank Umum. Indonesia, 2022. [Online]. Available: www.peraturan.go.id

[12] Otoritas Jasa Keuangan, Surat Edaran Otoritas Jasa Keuangan Republik Indonesia Nomor 29/SEOJK.03/2022 Tentang Ketahanan dan Keamanan Siber Baik Bank Umum. Indonesia, 2022.

[13] Otoritas Jasa Keuangan, Peraturan Otoritas Jasa Keuangan Republik Indonesia Nomor 21 Tahun 2023 tentang Layanan Digital Oleh Bank Umum. Indonesia, 2023.

[14] J. Hutahaean, “Sistem Pendukung Keputusan Pemilihan Vendor IT Dengan Metode WSM Weighted Scoring Model,” Jurnal Sistem dan Teknologi Informasi Cendekia, vol. 1, no. 2, pp. 38–46, 2024, [Online]. Available: https://ejurnal.mitrakreasicendekia.com/index.php/JuSTICe

[15] R. N. Lumanauw, P. Kiat Ng, A. Saptari, I. Bin Halim, M. Toha, and Y. J. Ng, “Performance Evaluation of Subcontractors Using Weighted Sum Method Through KPI Measurement,” Journal of Engineering Technology and Applied Physics, vol. 5, no. 1, pp. 35–49, 2023, doi: 10.33093/jetap.2023.5.1.

[16] B. Triwijaya and S. Wibowo, “Penerapan Metode Weighted Sum Model pada Sistem Pendukung Keputusan Penerimaan Magang di PT. Indosat Ooredoo Hutchison,” in Seminar Nasional Informatika, FTI UPGRIS, 2024, pp. 329–336.

[17] Permata and A. L. Kalua, “Rekomendasi Penentuan Siswa Berprestasi Dengan Menggunakan Metode Pembobotan PIPRECIA dan Weighted Sum Model,” Journal of Artificial Intelligence and Technology Information (JAITI), vol. 2, no. 2, pp. 96–105, 2024, doi: 10.58602/jaiti.v2i2.127.

[18] N. A. Nabeeh and A. A. Tantawy, “A Neutrosophic Model for Blockchain Platform Selection based on SWARA and WSM,” Neutrosophic and Information Fusion, vol. 1, no. 2, pp. 29–43, 2023, doi: 10.54216/NIF.010204.

[19] R. O’Shea, P. Deeney, E. Triantaphyllou, L. Diaz-Balteiro, and S. Armagan Tarim, “Weight stability intervals for multi-criteria decision analysis using the weighted sum model,” Expert Syst. Appl., vol. 296, 2026, doi: 10.1016/j.eswa.2025.128460.

[20] C. Saputri and R. Sulaiman, “SELECTING THE BEST BANK USING A COMBINATION OF ENTROPY AND PROMETHEE II METHODS,” MATHunesa: Jurnal Ilmiah Matematika, vol. 14, no. 1, pp. 255–262, 2026, doi: 10.26740/mathunesa.v14n1.p255-262.

[21] H. T. Nguyen and T.-C. Chu, “Ranking Startups Using DEMATEL-ANP-Based Fuzzy PROMETHEE II,” Axioms, vol. 12, no. 6, pp. 1–34, 2023, doi: 10.3390/axioms12060528.

[22] P. Bitin, I. N. Farida, and D. Swanjaya, “Implementasi Metode PROMETHEE II dalam Sistem Pendukung Keputusan Seleksi Smart Class,” in INOTEK, Jul. 2025, pp. 1125–1133. doi: 10.29407/j0pvw831.

[23] T. Cahyono, A. H. Muhammad, S. N. Wahyuni, and H. Al Fatta, “Decision Support Systems in Electronic Procurement for Public Sector Procurement: A Systematic Literature Review on Machine Learning Integration,” Jurnal Teknik Informatika (JUTIF), vol. 7, no. 2, pp. 1905–1917, 2026, doi: 10.52436/1.jutif.2026.7.2.5747.

[24] S. K. Ahmed, “How to choose a sampling technique and determine sample size for research: A simplified guide for researchers,” Oral Oncology Reports, vol. 12, pp. 1–7, 2024, doi: 10.1016/j.oor.2024.100662.

[25] R. K. Pulluri, “Cloud Computing Adoption In Financial Services: An Analysis Of Performance, Security, And Customer Experience Enhancement Through Asynchronous Processing And Microservices Architecture,” International Journal of Computer Engineering and Technology (IJCET), vol. 15, no. 6, pp. 1865–1874, 2024, doi: 10.34218/ijcet_15_06_159.