Pemilihan Aplikasi E-Commerce untuk Pengembangan Bisnis Virtual Menggunakan Metode VIKOR dan Rank Sum

Permata Permata

doi:10.58602/chain.v2i4.148

Permata Permata Universitas Teknokrat Indonesia

DOI: https://doi.org/10.58602/chain.v2i4.148

Keywords: Alternative, E-Commerce, Election, Rank Sum, VIKOR

Abstract

Choosing an e-commerce application is an important process for businesses to ensure that the chosen platform can optimally support their operational needs and marketing strategies. Choosing the right e-commerce app will help businesses improve operational efficiency, expand market reach, and increase customer satisfaction, all of which contribute to long-term success. The main issues in the selection of e-commerce applications are often related to the suitability of features, cost, and system integration. The combination of the VIKOR and Rank Sum methods in MCDM can provide a more objective and comprehensive solution. The Rank Sum method is used to give weight to each criterion based on the existing ranking, while VIKOR helps to select the best alternative based on the evaluation of compromises between alternatives. This combination approach provides an advantage in dealing with problems involving many alternatives and complex criteria, with more detailed and fair solutions. The ranking results using the VIKOR method show that the E-Commerce Application 2 is the best alternative with a VIKOR index value of 0, which means that this application is the closest to the ideal solution and has the best performance in meeting the predetermined criteria. In second place, there is the E-Commerce Application 1 with a VIKOR index value of 0.69, which shows that although it is not as optimal as the E-Commerce 2 Application, this application is still an excellent choice based on the evaluation criteria. The E-Commerce 4 app came in third with a score of 0.934, slightly worse compared to the previous app, but still in the acceptable category.

References

J. WANG, I. OTHMAN, and D. R. O. G. ALUKO, “Advances and Constraints in Cross-Border E-Commerce in The Southeast Asia,” 2024.

J. Wang, S. Setiawansyah, and Y. Rahmanto, “Decision Support System for Choosing the Best Shipping Service for E-Commerce Using the SAW and CRITIC Methods,” J. Ilm. Inform. dan Ilmu Komput., vol. 3, no. 2, pp. 101–109, 2024, doi: 10.58602/jima-ilkom.v3i2.32.

J. Wang, D. Darwis, S. Setiawansyah, and Y. Rahmanto, “Implementation of MABAC Method and Entropy Weighting in Determining the Best E-Commerce Platform for Online Business,” JiTEKH, vol. 12, no. 2, pp. 58–68, 2024, doi: 10.35447/jitekh.v12i2.1000.

C. Z. Radulescu and M. Radulescu, “A Hybrid Group Multi-Criteria Approach Based on SAW, TOPSIS, VIKOR, and COPRAS Methods for Complex IoT Selection Problems,” Electronics, vol. 13, no. 4, p. 789, Feb. 2024, doi: 10.3390/electronics13040789.

M. P. Basílio, V. Pereira, H. G. Costa, M. Santos, and A. Ghosh, “A Systematic Review of the Applications of Multi-Criteria Decision Aid Methods (1977–2022),” Electronics, vol. 11, no. 11, p. 1720, May 2022, doi: 10.3390/electronics11111720.

M. Modeong and M. I. Siami, “Penerapan VIKOR Method (VIšekriterijumsko KOmpromisno Rangiranje Method) Dalam Rekomendasi Pemilihan Laptop Gaming,” J. Ilm. Comput. Sci., vol. 1, no. 2, pp. 49–57, 2023, doi: 10.58602/jics.v1i2.6.

M. Akram, C. Kahraman, and K. Zahid, “Group decision-making based on complex spherical fuzzy VIKOR approach,” Knowledge-Based Syst., vol. 216, p. 106793, 2021.

Y. Prayoga and O. Alfina, “Pemilihan Guru Honorer Berprestasi Pada SMP Pahlawan Nasional Menggunakan Metode Vikor,” J. Info Digit, vol. 1, no. 2, pp. 650–660, 2023.

P. Citra, I. W. Sriyasa, and H. B. Santoso, “Sistem Pendukung Keputusan Penentuan Kinerja Sales Terbaik Menggunakan Kombinasi Grey Relational Analysis dan Pembobotan Rank Sum,” J. Ilm. Comput. Sci., vol. 2, no. 2, pp. 99–108, Jan. 2024, doi: 10.58602/jics.v2i2.26.

M. W. Arshad and S. Setiawansyah, “Combination of Rank Sum and Multi Attribute Utility Theory in Determining the Best Receptionist Performance,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 5, pp. 2549–2558, 2024, doi: 10.30865/klik.v4i5.1791.

S. Sintaro, “Sistem Pendukung Keputusan Penentuan Barista Terbaik Menggunakan Rank Sum dan Additive Ratio Assessment (ARAS),” J. Ilm. Comput. Sci., vol. 2, no. 1, pp. 39–49, 2023, doi: 10.58602/jics.v2i1.15.

I. M. Hezam, A. K. Mishra, D. Pamucar, P. Rani, and A. R. Mishra, “Standard deviation and rank sum-based MARCOS model under intuitionistic fuzzy information for hospital site selection,” Kybernetes, 2023.

Y. P. Soni and E. Fernandez, “Multi-Criteria Rank-Based Planning of the Distribution System with HOMER Integrated Weighted Sum Model,” in 2022 IEEE 10th Power India International Conference (PIICON), Nov. 2022, pp. 1–5. doi: 10.1109/PIICON56320.2022.10045163.

T. Lin, T. Chen, J. Liu, and X. M. Tu, “Extending the Mann‐Whitney‐Wilcoxon rank sum test to survey data for comparing mean ranks,” Stat. Med., vol. 40, no. 7, pp. 1705–1717, 2021.

S. Sintaro, “Penerapan Metode Grey Relational Analysis (GRA) Dalam Pemilihan E-Commerce,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 1, no. 4, pp. 166–173, 2023, doi: 10.58602/itsecs.v1i4.75.

P. Citra, H. B. Santoso, and I. W. Sriyasa, “Sistem Pendukung Keputusan Pemilihan E-Commerce Menggunakan Pembobotan Entropy dan COPRAS,” J. Ilm. Inform. dan Ilmu Komput., vol. 3, no. 1, pp. 36–45, 2024, doi: 10.58602/jima-ilkom.v3i1.25.

R. Wijianto, “ANALISA PEMILIHAN MINAT E-COMMERCE BERDASARKAN KONSUMEN MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP),” Informatics Comput. Eng. J., vol. 1, no. 2, pp. 24–33, 2021.

H. Sulistiani, Setiawansyah, P. Palupiningsih, F. Hamidy, P. L. Sari, and Y. Khairunnisa, “Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution,” in 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 2023, pp. 369–373. doi: 10.1109/ICIMCIS60089.2023.10349017.