Entropy vs. CRITIC Weighting for TOPSIS Ranking of Mobile Data Packages in Ambon City

Authors

  • Vederico Pitsalitz Sabandar Pattimura University
  • Sanriomi Sintaro Sam Ratulangi University
  • Wisard Widsli Kalengkongan Sam Ratulangi University
  • Jumriadi Sam Ratulangi University
  • Sitti Nur Isnian Haluoleo University

DOI:

https://doi.org/10.58777/ise.v3i2.575

Keywords:

CRITIC weight, Decision support system, Entropy weight, Mobile data packages, Multi-criteria decision making, TOPSIS

Abstract

This study proposes a decision-support approach for selecting prepaid mobile data packages in Ambon City that balances price, main quota, and validity period. Twelve packages from Telkomsel, XL, Indosat IM3, and Tri were evaluated using four criteria: price, main quota, validity, and price per main gigabyte. TOPSIS was used for ranking, and Entropy and CRITIC were compared as objective weighting methods to examine the effect of weighting choice. Entropy emphasized the main quota, producing a quota-focused evaluation. CRITIC gave greater weight to price and price efficiency, accounting for data variation and criterion correlations. Both methods selected Tri Happy 70GB as the best option. The overall rankings were highly consistent, with a Spearman rank correlation of 0.8741, although some alternatives changed positions within the top group. The analysis is limited to a single time snapshot based on published package attributes and excludes measured network performance in Ambon City. In practice, the framework is transparent, replicable, and can be extended with constraints such as maximum budget and minimum validity requirements. The study contributes a controlled comparison of Entropy and CRITIC effects while keeping TOPSIS constant.

References

Ariyanti, Y., & Fu’adi, D. (2025). A Comparative Analysis of the CRITIC and Entropy Methods for Objective Weighting of Priority Criteria. Jurnal Masyarakat Informatika, 16, 148–161. https://doi.org/10.14710/jmasif.16.2.73143

Ayan, B., Abacıoğlu, S., & Basilio, M. P. (2023). A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making. In Information (Vol. 14, Issue 5, p. 285). https://doi.org/10.3390/info14050285

Candra, F., & David, D. (2023). Sistem Pemilihan Paket Indihome Dengan Metode Topsis. Jikom: Jurnal Informatika Dan Komputer, 12, 1–10. https://doi.org/10.55794/jikom.v12i2.81

Chen, C.-H. (2021). A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection. In Entropy (Vol. 23, Issue 12, p. 1597). https://doi.org/10.3390/e23121597

Chen, L., Ramli, K., Hastiadi, F. F., & Suryanegara, M. (2023). ACCELERATING DIGITAL TRANSFORMATION IN INDONESIA: Technology, Market, and Policy (Artmosphere (ed.)). Economic Research Institute for ASEAN and East

Asia (ERIA). https://www.eria.org/uploads/Accelerating-Digital-Transformation-Indonesia-rev3.pdf

Haryanto, A. T. (2024). APJII: Jumlah Pengguna Internet Indonesia Tembus 221 Juta Orang. Detiknet. https://inet.detik.com/cyberlife/d-7169749/apjii-jumlah-pengguna-internet-indonesia-tembus-221-juta-orang

ITU. (2023). Measuring digital development Facts and Figures 2023. https://www.itu.int/itu-d/reports/statistics/wp-content/uploads/sites/5/2023/11/Measuring-digital-development-Facts-and-figures-2023-E.pdf

ITU. (2024). Measuring digital development Facts and Figures 2024. https://www.itu.int/itu-d/reports/statistics/wp-content/uploads/sites/5/2024/11/2402588_1e_Measuring-digital-development-Facts-and-Figures-2024_v4.pdf

ITU. (2025). Measuring digital development Facts and Figures 2025. http://itu.int/dms_pub/itu-d/opb/ind/d-ind-ict_mdd-2025-3-pdf-e.pdf

Krishnan, A., Mat Kasim, M., Hamid, R., & Ghazali, M. F. (2021). A Modified CRITIC Method to Estimate the Objective Weights of Decision Criteria. Symmetry, 13. https://doi.org/10.3390/sym13060973

Linh, N., Son, N., & Thao, D. (2025). Evaluating the Impact of Weighting Methods on the Stability of Scores for Alternatives in Multi-Criteria Decision-Making Problems. Engineering, Technology & Applied Science Research, 15, 19998–20004. https://doi.org/10.48084/etasr.9518

Liu, L., Wan, X., Li, J., Wang, W., & Gao, Z. (2022). An Improved Entropy-Weighted Topsis Method for Decision-Level Fusion Evaluation System of Multi-Source Data. In Sensors (Vol. 22, Issue 17, p. 6391). https://doi.org/10.3390/s22176391

Naji, M., Thiruchelvam, S., & Khudari, M. (2023). An investigation of Internet Service Provider selection criteria: A systematic literature review. Iraqi Journal for Computer Science and Mathematics, 4(4), 156–172. https://doi.org/10.52866/ijcsm.2023.04.04.013

Simon Kemp. (2023). Digital 2023: Indonesia — DataReportal – Global Digital Insights. Retrieved January 11, 2026, from https://datareportal.com/reports/digital-2023-indonesia

Simon Kemp. (2024). Digital 2024: Indonesia — DataReportal – Global Digital Insights. Retrieved January 11, 2026, from https://datareportal.com/reports/digital-2024-indonesia

Simon Kemp. (2025). Digital 2025: Indonesia — DataReportal – Global Digital Insights. Retrieved January 11, 2026, from https://datareportal.com/reports/digital-2025-indonesia

Taherdoost, H., & Madanchian, M. (2024). A Comprehensive Survey and Literature Review on TOPSIS. International Journal of Service Science, Management, Engineering, and Technology, 15(1). https://doi.org/10.4018/IJSSMET.347947

Whistler, R. P. L. (2023). Sistem Pendukung Keputusan Pemilihan Paket Internet Provider Terbaik Bagi Calon Pelanggan Di Kawasan Citraland Surabaya Dengan Menggunakan Metode Topsis. Universitas Wijaya Putra.

world bank group. (2021). Digital Economy in Indonesia. https://www.worldbank.org/en/news/infographic/2021/10/28/digital-economy-in-indonesia

Yudhistira, A., Wang, J., & Rahmanto, Y. (2024). Decision Support System for Optimizing Supplier Selection Using TOPSIS and Entropy Weighting Methods. Jurnal Pendidikan Dan Teknologi Indonesia, 4, 175–185. https://doi.org/10.52436/1.jpti.456

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Published

2026-01-26

How to Cite

Sabandar, V. P., Sintaro, S., Kalengkongan, W. W., Jumriadi, & Isnian, S. N. (2026). Entropy vs. CRITIC Weighting for TOPSIS Ranking of Mobile Data Packages in Ambon City. Informatics and Software Engineering, 3(2), 73–85. https://doi.org/10.58777/ise.v3i2.575

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