The Comparation of Fuzzy AHP-SAW and Fuzzy AHP-VIKOR in Selection of SPF in Facial Sunscreen

Authors

  • Indah Mardhotillah Yusuf Universitas Sumatera Utara

DOI:

https://doi.org/10.37755/jsm.v16i2.1444

Keywords:

Fuzzy AHP-SAW, Fuzzy AHP-VIKOR, Sun Protection Factor, Facial Sunscreen

Abstract

The Analytical Hierarchy Process (AHP) is a decision-making method that evaluates multiple alternatives based on several criteria. This method is regarded as flexible in conceptualizing ideas and defining problems hierarchically. However, recent research indicates that the AHP method is perceived as imbalanced in its paired comparison scale, thus it must be combined with fuzzy logic and other decision support methods. This study combines the fuzzy AHP method with the Simple Additive Weighting (SAW) method and the fuzzy AHP method with the VIKOR method to compare the results produced by each method in determining the optimal SPF content in facial sunscreen. The fuzzy AHP method is deemed appropriate for this case study due to the subjective nature of skincare, as individuals possess varying skin types. The results reveal that the comparison of both methods in determining the criteria weights is identical, as they both utilize the fuzzy AHP (FAHP). In ranking the alternatives, the results also align, indicating that SPF 50 represents the optimal SPF value, with a score of 0.999 for FAHP-SAW and 0 for FAHP-VIKOR. However, the ranking approaches differ: FAHP-SAW is based on the highest preference value, while FAHP-VIKOR relies on the smallest index value. Furthermore, sensitivity analysis demonstrates that both methods yield identical results, indicating that changes in weight values do not affect the rankings in this case study.

References

Atmanti, H. D. (2008). Analytical Hierarchy Process Sebagai Model yang Luwes. Teknik Industri, 1–9.

Chang, D.-Y. (1996). Applications of The Extent Analysis Method on Fuzzy AHP. European Journal of Operational Research, 95, 649–655.

Fahmi, N., Prihandoko, A., & Retnani, W. (2017). Implementasi Metode Fuzzy AHP pada Sistem Penunjang Keputusan Penentuan Topik Skripsi (Studi Kasus: Program Studi Sistem Informasi Universitas Jember). Sistem Informasi, 2, 76–81.

Hikmanto, D. (2017). Sistem Pendukung Keputusan Kelompok Penerimaan Bantuan Program Nasional Pemberdayaan Masyarakat (PNPM) Generasi Sehat dan Cerdas Menggunakan Metode Simple Additive Weighting (SAW) dan BORDA (Studi Kasus : Desa Cihideung Hilir Kecamatan Cidahu Kabupaten Kuningan Jawa Barat). Sekolah Tinggi Manajemen Informatika dan Komputer AKAKOM.

Kasmadani, G. D. (2022). Implementasi Metode Fuzzy-AHP dalam Sistem Pendukung Keputusan Pemilihan Produk Facial Wash. Universitas Islam Negeri Sultan Syarif Kasim Riau.

Minerva, P. (2019). Penggunaan Tabir Surya bagi Kesehatan Kulit. Pendidikan Dan Keluarga, 11(1), 95–101.

Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455. https://doi.org/10.1016/S0377-2217(03)00020-1

Pinandito, A., Tri Ananta, M., Brata, K. C., & Fanani, L. (2015). Alternatives Weighting in Analytic Hierarchy Process of Culinary Recommendation System Using Fuzzy. Engineering and Applied Sciences, 10(19). www.arpnjournals.com

Saaty, R. W. (1987). The Analytic Hierarchy Process - What It is and How It is Used. Pergamon Journals, 9(5), 161–176.

Schalka, S., Manoel, V., & Dos Reis, S. (2011). Sun Protection Factor: Meaning and Controversies. In An Bras Dermatol (Vol. 86, Issue 3).

Sulistiyowati, A. (2022). Potensi Keberagaman SPF (Sun Protection Factor) Sunscreen terhadap Perlindungan Paparan Sinar Ultraviolet Berdasarkan Iklim di Indonesia. http://ejournal.urindo.ac.id/index.php/kesehatan

Widaningsih, S. (2017). Analisis Sensitivitas Metode AHP dengan Menggunakan Weighted Sum Model (WSM) pada Simulasi Pemilihan Investasi Sektor Finansial. Media Jurnal Informatika, 9(1), 1–8. http://jurnal.unsur.ac.id/mjinformatika

Yeh, C.-H. (2002). A Problem-based Selection of Multi Attribute Decision Making Methods.

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Published

2024-10-31 — Updated on 2024-12-28

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