Department of Informatics, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275 , Indonesia
BibTex Citation Data :
@article{JMASIF73143, author = {Yunila Dwi Putri Ariyanti and Dhena Fu'adi}, title = {A Comparative Analysis of the CRITIC and Entropy Methods for Objective Weighting of Priority Criteria}, journal = {Jurnal Masyarakat Informatika}, volume = {16}, number = {2}, year = {2025}, keywords = {Weighting method; CRITIC; Entropy; ARAS; Analysis sensitivity}, abstract = { Various criteria weighting methods are available, and this study aims to compare the Criteria Importance Through Inter Criteria Correlation (CRITIC) and Entropy methods to determine the criteria weights. This case study focuses on identifying priority customers from 2 years of sales transactions in an online retail company, which processes more than 1 million transactions with 8 features. The researcher selected 100 high-value customers as alternative data, prioritizing research efficiency and high-value insights. Four criteria were set for customer prioritization. Sensitivity analysis was conducted using the Additive Ratio Assessment (ARAS) method to measure the stability of the method. The CRITIC method produced balanced weights (0.23-0.27), while Entropy produced more variable weights, with C3 being the largest criterion weight with a value of 0.46, indicating its strong dependence on the data distribution. Sensitivity analysis revealed that the Entropy-ARAS method was more sensitive to weight changes (75.11134%) in this customer prioritization case compared to the CRITIC-ARAS method (56.95372%). }, issn = {2777-0648}, pages = {148--161} doi = {10.14710/jmasif.16.2.73143}, url = {https://ejournal.undip.ac.id/index.php/jmasif/article/view/73143} }
Refworks Citation Data :
Various criteria weighting methods are available, and this study aims to compare the Criteria Importance Through Inter Criteria Correlation (CRITIC) and Entropy methods to determine the criteria weights. This case study focuses on identifying priority customers from 2 years of sales transactions in an online retail company, which processes more than 1 million transactions with 8 features. The researcher selected 100 high-value customers as alternative data, prioritizing research efficiency and high-value insights. Four criteria were set for customer prioritization. Sensitivity analysis was conducted using the Additive Ratio Assessment (ARAS) method to measure the stability of the method. The CRITIC method produced balanced weights (0.23-0.27), while Entropy produced more variable weights, with C3 being the largest criterion weight with a value of 0.46, indicating its strong dependence on the data distribution. Sensitivity analysis revealed that the Entropy-ARAS method was more sensitive to weight changes (75.11134%) in this customer prioritization case compared to the CRITIC-ARAS method (56.95372%).
Article Metrics:
Last update:
Last update: 2025-06-18 10:43:11
The authors who submit the manuscript must understand that the article's copyright belongs to the author(s) if accepted for publication. However, the author(s) grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors should also understand that their article (and any additional files, including data sets, and analysis/computation data) will become publicly available once published under that license. See our copyright policy. By submitting the manuscript to Jmasif, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that:
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. Jmasif will not be held responsible for anything arising because of the writer's internal dispute. Jmasif will only communicate with correspondence authors.
Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. Jmasif allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Jmasif to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.