Effectiveness of Weighting in Assessing Ranking Criteria on the SWOT-MAGIQ Matrix
(1) Universitas Indraprasta PGRI, Jakarta
(2) Universitas Indraprasta PGRI, Jakarta
(3) Universitas Budi Darma, Medan
(*) Corresponding Author
Abstract
The Analytical Hierarchy Process (AHP) has been a prominent tool in decision-making, but the Multi-Attribute Global Interference of Quality (MAGIQ) offers an alternative with its unique weighting mechanism. This research delves into the effectiveness of weighting in assessing ranking criteria within the SWOT-MAGIQ matrix. The study contrasts the traditional Rank Order Centroid (ROC) approach with the Improved Rank Order Centroid (IROC), focusing on their application in the SWOT analysis. While ROC provides simplicity, IROC aims for enhanced accuracy by considering variability in rankings. The results indicate nuanced differences, with ROC assigning higher weights to criteria such as "Friendly Staff" (0.3183 vs. IROC’s 0.3125), while IROC prioritizes aspects like "Strong Customer Relationships" more significantly (0.1103 vs. ROC’s 0.1053). The choice between ROC and IROC hinges on the specific needs of the decision-making context, with IROC potentially offering a more detailed perspective in complex scenarios. This research underscores the importance of selecting the appropriate weighting mechanism to ensure informed and strategic decisions within the SWOT-MAGIQ framework
Keywords
Full Text:
PDFReferences
M. Akhrouf and M. Derghoum, “Use of Analytic Hierarchy Process Model for Selection of Health Infrastructure Projects,” International Journal of the Analytic Hierarchy Process, vol. 15, no. 1, pp. 1–26, 2023, doi: 10.13033/IJAHP.V15I1.1040.
Y. Yan and C. A. Mercado, “Analytic Hierarchy Process Based Selection of Leaders of Start-up Enterprises,” Indonesian Journal of Economics and Management, vol. 3, no. 2, pp. 344–353, Mar. 2023, doi: 10.35313/ijem.v3i2.4707.
E. T. Kirana, S. Yunita, L. Alfuadi, and N. Hidayat, “Penerapan Analitycal Hierarchy Process Pada Sistem Pendukung Keputusan Pemilihan Laptop,” Jurnal Ilmiah Komputerisasi Akuntansi, vol. 16, no. 1, pp. 162–169, 2023, [Online]. Available: http://journal.stekom.ac.id/index.php/kompak■page162
M. Tavana, M. Soltanifar, and F. J. Santos-Arteaga, “Analytical hierarchy process: revolution and evolution,” Ann Oper Res, vol. 326, no. 2, pp. 879–907, 2023, doi: 10.1007/s10479-021-04432-2.
A. Ishizaka and E. Mu, “What is so special about the analytic hierarchy and network process?,” Ann Oper Res, vol. 326, no. 2, pp. 625–634, 2023, doi: 10.1007/s10479-023-05412-4.
V. A. P. Salomon and L. F. A. M. Gomes, “Consistency Improvement in the Analytic Hierarchy Process,” Mathematics, vol. 12, no. 6, Mar. 2024, doi: 10.3390/math12060828.
J. D. McCaffrey, “Using the Multi-Attribute Global Inference of Quality (MAGIQ) Technique for Software Testing,” in 2009 Sixth International Conference on Information Technology: New Generations, 2009, pp. 738–742. doi: 10.1109/ITNG.2009.81.
N. Munier and E. Hontoria, Uses and Limitations of the AHP Method. Cham: Springer International Publishing, 2021. doi: 10.1007/978-3-030-60392-2.
S. Lipovetsky, “Understanding the Analytic Hierarchy Process,” Technometrics, vol. 63, no. 2, pp. 278–279, Apr. 2021, doi: 10.1080/00401706.2021.1904744.
T. Kuo and M. H. Chen, “On using pairwise comparison in the analytic hierarchy process: Validity is goal while consistency is means,” Inf Sci (N Y), vol. 648, p. 119630, Nov. 2023, doi: 10.1016/J.INS.2023.119630.
P. Kunsch, “A critical analysis on Rank-Order-Centroid (ROC) and Rank-Sum (RS) weights in Multicriteria-Decision Analysis,” 2019.
R. Rachmat, S. Nur Asia, M. Yusuf, and S. Suherwin, “Selection Of Employee Recruitment Based On Priority Sequence Level Assessment Using ROC Method,” Jurnal Mantik, vol. 6, no. 3, pp. 2918–2924, 2022.
P. A. Sholeha and R. T. Aldisa, “Penerapan Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Dalam Pemilihan Kepala Laboratorium Menggunakan Pembobotan Rank Order Centroid (ROC),” Journal of Information System Research, vol. 4, no. 4, pp. 1324–1332, 2023, doi: 10.47065/josh.v4i4.3872.
N. D. Prayoga, M. Zarlis, and S. Efendi, “Weighting comparison analysis ROC and Full consistency Method (FUCOM) on MOORA in decision making,” SinkrOn, vol. 7, no. 3, pp. 2024–2032, Aug. 2022, doi: 10.33395/sinkron.v7i3.11643.
S. A. B. Forte, S. H. A. C. Forte, and P. R. Pinheiro, “Strategic Decision Method Structured in SWOT Analysis and Postures Based in the MAGIQ Multicriteria Analysis,” Advances in Intelligent Systems and Computing, vol. 662, pp. 227–237, 2018, doi: 10.1007/978-3-319-67621-0_21.
E. Ambarsari, A. GS, D. Mustari, L. Sunarmintyastuti, and R. Rahim, “The Strategy to Maintain an Incremental Game for Android Originated from Indonesia’s Om Telolet Om Phenomenon Idea Using The SWOT-MAGIQ Approach,” in Proceedings of the Third Workshop on Multidisciplinary and Its Applications, European Alliance for Innovation n.o., Mar. 2020. doi: 10.4108/eai.11-12-2019.2290859.
R. Subagio, E. W. Ambarsari, and R. Hikmah, “Penerapan Metode SWOT-MAGIQ Sebagai Strategi Peningkatan Pelayanan Jasa Laundry,” TIN: Terapan Informatika Nusantara, vol. 3, no. 12, 2023.
M. A. Hatefi, “An Improved Rank Order Centroid Method (IROC) for Criteria Weight Estimation: An Application in the Engine/Vehicle Selection Problem,” Informatica, vol. 34, no. 2, pp. 249–270, 2023, doi: 10.15388/23-INFOR507.
E. W. Ambarsari, V. Rahman, and W. N. Cholifah, “Applying IROC Method in Patent Submission Evaluation in Indonesia: A Comparison with MAGIQ and AHP,” Bulletin of Informatics and Data Science, vol. 2, no. 2, pp. 48–56, Nov. 2023, doi: 10.61944/bids.v2i2.75.
P. Sureeyatanapas, “Comparison of rank-based weighting methods for multi-criteria decision making,” KKU Engineering Journal, vol. 43, pp. 376–379, Nov. 2016, doi: 10.14456/kkuenj.2016.134.
DOI: http://dx.doi.org/10.61944/bids.v3i1.85
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Erlin Windia Ambarsari, Relo Subagio, Mesran Mesran
This work is licensed under a Creative Commons Attribution 4.0 International License.
Bulletin of Informatics and Data Science
Asosiasi Peneliti Data Science Indonesia
Email: pdsi.bids@gmail.com
This work is licensed under a Creative Commons Attribution 4.0 International License.