Determining the Country with the Best Economic Conditions 2025 using the MCDM Method


  • Bartolomius Harpad * Mail STMIK Widya Cipta Dharma, Samarinda, Indonesia
  • Azahari Azahari STMIK Widya Cipta Dharma, Samarinda, Indonesia
  • Salmon Salmon STMIK Widya Cipta Dharma, Samarinda, Indonesia
  • (*) Corresponding Author
Keywords: Multi-Criteria Decision Making (MCDM); Economic Performance Evaluation; TOPSIS Method; VIKOR Method; CoCoSo Method

Abstract

In the midst of increasingly complex global challenges in 2025, evaluating a country's economic condition is an important element in supporting strategic decision-making, whether at the government, corporate or individual level. The diversity of economic indicators such as Gross Domestic Product (GDP), inflation, unemployment, and human development index often makes it difficult to make an objective and comprehensive assessment. Reliance on a single indicator tends to produce a biased and unrepresentative picture. To address these issues, this research adopts a Multi-Criteria Decision Making (MCDM) approach that is able to consider various economic aspects simultaneously and systematically. The three MCDM methods used in this study are TOPSIS, VIKOR, and COCOSO. The analysis was conducted on 19 countries using four main indicators, namely GDP in billion USD, inflation rate, unemployment rate, and economic growth rate. Based on the results of data processing, the USA occupies the top position as the country with the best economic performance, followed by China. The three methods show consistency in ranking some countries, but there are also striking differences for some alternatives due to different approaches in normalisation and weighting. These findings emphasise the importance of choosing the right method in multicriteria evaluation. Therefore, a combined approach such as ensemble decision-making is recommended to strengthen the validity of the results. For further development, the use of additional indicators and the integration of artificial intelligence-based technology are suggested to improve accuracy and flexibility in analysing economic conditions between countries.

Downloads

Download data is not yet available.

References

R. Kumar, “A Comprehensive Review of MCDM Methods, Applications, and Emerging Trends,” Decis. Mak. Adv., vol. 3, no. 1, hal. 185–199, 2025, doi: https://doi.org/10.31181/dma31202569.

S. K. Sahoo dan S. S. Goswami, “A comprehensive review of multiple criteria decision-making (MCDM) Methods: advancements, applications, and future directions,” Decis. Mak. Adv., vol. 1, no. 1, hal. 25–48, 2023, doi: https://doi.org/10.31181/dma1120237.

A. Sotoudeh-Anvari, “TheapplicationsofMCDMmethodsinCOVID-19pandemic: Astateof theartreview,” Appl. Soft Comput., vol. 126, no. September, hal. 1–40, 2022, doi: https://doi.org/10.1016/j.asoc.2022.109238.

M. Z. Lubis, Ruziana, R. Fadillah, dan R. M. F. Lubis, “Decision Support System for Determining New Branch Locations Applying the Multi Attribute Utility Theory (MAUT) Method,” Int. J. Informatics Data Sci., vol. 1, no. 1, hal. 36–45, 2023, [Daring]. Tersedia pada: https://journals.adaresearch.or.id/ijids/article/view/17

R. G. Rasoanaivo, M. Yazdani, P. Zaraté, dan A. Fateh, “Combined compromise for ideal solution (CoCoFISo): A multi-criteria decision-making based on the CoCoSo method algorithm,” Expert Syst. Appl., vol. 251, hal. 124079, 2024, doi: https://doi.org/10.1016/j.eswa.2024.124079.

M. Jafari dan S. N. Khanachah, “Integrated knowledge management in the supply chain: assessment of knowledge adoption solutions through a comprehensive CoCoSo method under uncertainty,” J. Ind. Inf. Integr., vol. 39, hal. 100581, 2024, doi: https://doi.org/10.1016/j.jii.2024.100581.

J. Yu, H. Ding, Y. Yu, S. Wu, Q. Zeng, dan Y. Xu, “Risk assessment of liquefied natural gas storage tank leakage using failure mode and effects analysis with Fermatean fuzzy sets and CoCoSo method,” Appl. Soft Comput., vol. 154, hal. 111334, 2024, doi: https://doi.org/10.1016/j.asoc.2024.111334.

D. Liu, L. Qiao, C. Liu, B. Liu, dan S. Liu, “Evaluation of Urban Quality Improvement Based on the MABAC Method and VIKOR Method : A Case Study of Shandong Province, China,” Sustainability, vol. 16, no. 8, hal. 1–18, 2024, doi: https://doi.org/10.3390/su16083308.

E. J. Yazo-Cabuya, A. Ibeas, dan J. A. Herrera-Cuartas, “Integration of sustainability in risk management and operational excellence through the VIKOR method considering comparisons between multi-criteria decision-making methods,” Sustainability, vol. 16, no. 11, hal. 1–24, 2024, doi: https://doi.org/10.3390/su16114585.

H. Sulistiani, S. Setiawansyah, A. F. O. Pasaribu, P. Palupiningsih, K. Anwar, dan V. H. Saputra, “New TOPSIS: Modification of the TOPSIS Method for Objective Determination of Weighting,” Int. J. Intell. Eng. Syst., vol. 17, no. 5, hal. 991–1003, 2024, doi: 10.22266/ijies2024.1031.74.

A. Hussain, K. Ullah, T. Senapati, dan S. Moslem, “Energy supplier selection by TOPSIS method based on multi-attribute decision-making by using novel idea of complex fuzzy rough information,” Energy Strateg. Rev., vol. 54, hal. 1–12, 2024, doi: https://doi.org/10.1016/j.esr.2024.101442.

A. F. Momena et al., “Ranking and Challenges of Supply Chain Companies Using MCDM Methodology,” Logistics, vol. 8, no. 3, hal. 1–32, 2024, doi: https://doi.org/10.3390/logistics8030087.

H. X. Thinh, D. Van Duc, dan N. C. Bao, “The Effect of CoCoSo Method on the Ranks of Alternatives: A Case Study of Copper Electrical Wire Selection,” Eng. Technol. Appl. Sci. Res., vol. 14, no. 6, hal. 18307–18315, 2024, doi: https://doi.org/10.48084/etasr.9063.

Z. Kan, Y. Wei, T. Zhao, dan J. Cao, “Risk evaluation of submarine pipelines in FMEA by combination of gray relation projection and VIKOR method,” Ocean Eng., vol. 302, hal. 117695, 2024, doi: https://doi.org/10.1016/j.oceaneng.2024.117695.

F. A. Imran, A. C. Lae, G. K. Katihara, dan Y. R. Kaesmetan, “Sistem Pendukung Keputusan Penentuan Kost Terbaik Pada Kecamatan Oebobo Menggunakan Metode TOPSIS,” J. Technol. Informatics, vol. 5, no. 2, hal. 80–86, 2024, doi: https://doi.org/10.37802/joti.v5i2.553.

A. M. P. Nugraha dan I. H. Mursyidin, “Sistem Pendukung Keputusan Penilaian Kinerja Guru Menggunakan Metode SAW,” bit-Tech, vol. 7, no. 1, hal. 174–183, 2024, doi: https://doi.org/10.32877/bt.v7i1.1608.

B. Wardana, “Implementasi metode weight product untuk penilaian kinerja karyawan di pt. Pertamina gas,” J. Softw. Eng. Inf. Syst., vol. 4, no. 1, hal. 16–22, 2024, doi: https://doi.org/10.37859/seis.v4i1.6701.

N. K. T. Y. Pratiwi, P. A. E. D. Wasundhari, K. Nikova, dan G. S. Mahendra, “Rekomendasi Hotel di Kawasan Lovina Menggunakan Sistem Pendukung Keputusan dengan Metode WASPAS,” J. Sist. Inf. Bisnis, vol. 5, no. 1, hal. 30–40, 2024, doi: https://doi.org/10.55122/junsibi.v5i1.1146.

A. A. Rohman, O. S. Bachri, dan P. Wahyuningsih, “Penentuan Karyawan Terbaik Menggunakan Metode MOORA pada Swalayan M di Kota Tegal,” J. Ilm. Intech Inf. Technol. J. UMUS, vol. 6, no. 1, hal. 36–41, 2024, doi: https://doi.org/10.46772/intech.v6i1.1563.

M. N. D. Satria, “Sistem Pendukung Keputusan Penerimaan Staff Administrasi Menggunakan Metode VIKOR,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, hal. 39–49, 2023, doi: https://doi.org/10.58602/jaiti.v1i1.24.

M. F. Faisal, A. Suryopratomo, dan K. M. Ishak, “Sistem Pendukung Keputusan Seleksi Calon TKI ke Jepang dengan Metode Topsis,” J. Dimamu, vol. 3, no. 2, hal. 218–222, 2024, doi: https://doi.org/10.32627/dimamu.v3i2.948.

S. H. Hadad, D. Darwis, A. Qurania, A. A. Aldino, dan A. R. Mehta, “Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method,” vol. 5, no. 1, hal. 30–39, 2023, doi: 10.47065/josyc.v5i1.4544.

J. Yu, H. Ding, Y. Yu, S. Wu, Q. Zeng, dan Y. Xu, “Risk assessment of liquefied natural gas storage tank leakage using failure mode and effects analysis with Fermatean fuzzy sets and CoCoSo method,” vol. 154, no. May 2023, 2024, doi: 10.1016/j.asoc.2024.111334.

D. K. Tripathi, S. K. Nigam, dan P. Rani, “New intuitionistic fuzzy parametric divergence measures and score function-based CoCoSo method for decision-making problems,” Decis. Mak. Appl. Manag. Eng., vol. 6, no. 1, hal. 535–563, 2023, doi: https://doi.org/10.31181/dmame0318102022t.

K. K. Panchagnula, J. P. Sharma, K. Kalita, dan S. Chakraborty, “CoCoSo method-based optimization of cryogenic drilling on multi-walled carbon nanotubes reinforced composites,” Int. J. Interact. Des. Manuf., vol. 17, no. 1, hal. 279–297, 2023, doi: https://doi.org/10.1007/s12008-022-00894-1.

S. Kusumadewi dan R. Kurniawan, “Pemilihan strategiimplementasi kesehatan digital pada kelompok pengambil keputusan menggunakan metode VIKOR,” J. Teknol. Inf. Dan Ilmu Komput., vol. 11, no. 4, hal. 787–796, 2024, doi: https://doi.org/10.25126/jtiik.1148556.

I. Muhyiddin, D. P. Perdana, P. I. D. C. Wulan, dan K. Syarif, “spk pemilihan ketua hmp program studi rekayasa keamanan siber politeknik bhakti semesta berbasis website menggunakan metode topsis,” JIPI (Jurnal Ilm. Penelit. dan Pembelajaran Inform., vol. 9, no. 2, hal. 919–929, 2024, doi: https://doi.org/10.29100/jipi.v9i2.4605.

B. D. Meilani dan D. N. Setiawan, “Penerapan Metode Topsis Dalam Sistem Pendukung Keputusan Pemilihan Varietas Padi Unggul,” in SeminarNasional Sains dan Teknologi Terapan, 2020, hal. 101–108. [Daring]. Tersedia pada: https://ejournal.itats.ac.id/sntekpan/article/view/1222


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Determining the Country with the Best Economic Conditions 2025 using the MCDM Method

Dimensions Badge
Article History
Submitted: 2025-05-14
Published: 2025-06-30
Abstract View: 735 times
PDF Download: 373 times
How to Cite
Harpad, B., Azahari, A., & Salmon, S. (2025). Determining the Country with the Best Economic Conditions 2025 using the MCDM Method. Building of Informatics, Technology and Science (BITS), 7(1), 781-792. https://doi.org/10.47065/bits.v7i1.7346
Section
Articles

Most read articles by the same author(s)

1 2 > >>