Perbandingan Sensitivitas Metode SAW, MAUT dan WSM pada Anugerah Mutu Non-Akademik Universitas
DOI:
https://doi.org/10.14421/jiska.2025.10.2.207-220Keywords:
Decision Support System, Simple Additive Weighting, Multi Attribute Utility Theory, Weighted Sum Model, UniversityAbstract
A Decision Support System works best with a suitable method. Unfortunately, not all methods are equally used. Two rarely used methods are the MAUT and WSM methods. To determine whether a method is more suitable for a case than another, a sensitivity test is conducted. By conducting sensitivity tests between the two methods and other commonly used methods, such as SAW, in the same case, it’s possible to compare the sensitivity percentages of the three. One case that can be helped by a Decision Support System using the three methods is the ANOMIK assessment at universities. The three methods produced the same best alternative, namely Faculty 9. After conducting a sensitivity test, the results showed that the WSM method was the most sensitive, with a value of 4.954%, followed by the SAW method with a value of 4.901%, and finally the MAUT method with a value of 3.844%.
References
Arifin, M. Z., & Suharjo, I. (2024). Penerapan Metode Simple Additive Weighting (SAW) dalam Sistem Pendukung Keputusan Pemilihan Kapal sebagai Moda Transportasi Laut. Infotek: Jurnal Informatika dan Teknologi, 7(2), 338–349. https://doi.org/10.29408/jit.v7i2.25940
Emovon, I., & Oghenenyerovwho, O. S. (2020). Application of MCDM Method in Material Selection for Optimal Design: A Review. Results in Materials, 7, Article ID: 100115. https://doi.org/10.1016/j.rinma.2020.100115
Eom, S. B. (2020). Decision Support Systems. In Oxford Research Encyclopedia of Politics. Oxford University Press. https://doi.org/10.1093/acrefore/9780190228637.013.1008
Fishburn, P. C. (1967). Letter to the Editor—Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research, 15(3), 537–542. https://doi.org/10.1287/opre.15.3.537
Gorry, G. A., & Morton, M. S. S. (1971). A Framework for Management Information Systems. Massachusetts Institute of Technology. https://dspace.mit.edu/bitstream/handle/1721.1/47936/frameworkformana00gorr.pdf
Harahap, M. A. K., Hardisal, H., Ahyuna, A., & Rahim, R. (2022). Leveraging the Decision Support System and Simple Additive Weighting Method for Optimal Retail Location Identification. JINAV: Journal of Information and Visualization, 3(2), 174–180. https://doi.org/10.35877/454RI.jinav1485
Keeney, R. L., Raiffa, H., & Rajala, D. W. (1979). Decisions with Multiple Objectives: Preferences and Value Trade-Offs. IEEE Transactions on Systems, Man, and Cybernetics, 9(7), 403. https://doi.org/10.1109/TSMC.1979.4310245
Maharani, D., & Nata, A. (2020). Perbandingan Metode MFEP dan MAUT dalam Seleksi Calon Peserta Olimpiade Sains Nasional (OSN). JURTEKSI (Jurnal Teknologi dan Sistem Informasi), 6(3), 247–252. https://doi.org/10.33330/jurteksi.v6i3.793
Malefaki, S., Markatos, D., Filippatos, A., & Pantelakis, S. (2025). A Comparative Analysis of Multi-Criteria Decision-Making Methods and Normalization Techniques in Holistic Sustainability Assessment for Engineering Applications. Aerospace, 12(2), Article ID: 100. https://doi.org/10.3390/aerospace12020100
Marinković, G., Ilić, Z., Nestorović, Ž., Božić, M., & Bulatović, V. (2024). Sensitivity of Multi-Criteria Analysis Methods in Rural Land Consolidation Project Ranking. Land, 13(2), Article ID: 245. https://doi.org/10.3390/land13020245
Naik, D. L., & Kiran, R. (2021). A Novel Sensitivity-Based Method for Feature Selection. Journal of Big Data, 8(1), Article ID: 128. https://doi.org/10.1186/s40537-021-00515-w
Nurhasanah, E. K., Abadi, S., & Sukamto, P. (2020). Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi dengan Metode Simple Additive Weighting. TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika, 7(2), 107–118. https://doi.org/10.37373/tekno.v7i2.18
Pahlevi, R. F. (2021). Implementasi Algoritma Weighted Sum Model dalam Sistem Penjaminan Mutu Perguruan Tinggi. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 8(2), 935–946. https://doi.org/10.35957/jatisi.v8i2.700
Panjaitan, D. C., Juliansa, H., & Yanto, R. (2021). Perbandingan Metode SAW dan WP pada Sistem Pendukung Keputusan dalam Kasus Pemilihan Kegiatan Ekstrakulikuler. Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Lubuklinggau, 3(1), 30–38. https://doi.org/10.52303/jb.v3i1.38
Qomariah, S., & Rangan, A. Y. (2020). Perbandingan Metode SAW dan MFEP Sistem Pendukung Keputusan Penyeleksian Atlet Pencak Silat. Just TI (Jurnal Sains Terapan Teknologi Informasi), 12(1), 8–12. https://doi.org/10.46964/justti.v12i1.175
Rácz, A., Bajusz, D., & Héberger, K. (2019). Multi-Level Comparison of Machine Learning Classifiers and Their Performance Metrics. Molecules, 24(15), Article ID: 2811. https://doi.org/10.3390/molecules24152811
Rahayu, M. I., Siregar, M. K., & Desnia, M. (2022). Sistem Rekomendasi Pemilihan Produk Basic Skincare Berdasarkan Jenis Kulit Menggunakan Algoritma Simple Additive Weighting (SAW). Jurnal Teknologi Informasi dan Komunikasi, 12(2), 1–6. https://doi.org/10.58761/jurtikstmikbandung.v12i2.170
Resti, N. C. (2017). Penerapan Metode Simple Additive Weighting (SAW) pada Sistem Pendukung Keputusan Pemilihan Lokasi untuk Cabang Baru Toko Pakan UD. Indo Multi Fish. INTENSIF, 1(2), 102–107. https://doi.org/10.29407/intensif.v1i2.839
Setiawan, G. W., Wahyudi, J., & Sudarsono, A. (2022). Analisis Perbandingan Metode SAW dan Metode Topsis Melalui Pendekatan Uji Sensitivitas Penilaian Kinerja Pegawai (Studi Kasus: Dinas Perhubungan Bengkulu Tengah). MEANS (Media Informasi Analisa dan Sistem), 6(2), 169–173. https://doi.org/10.54367/means.v6i2.1528
Solikhun, S. (2017). Perbandingan Metode Weighted Product dan Weighted Sum Model dalam Pemilihan Perguruan Swasta Terbaik Jurusan Komputer. KLIK - Kumpulan Jurnal Ilmu Komputer, 4(1), 70–87. https://doi.org/10.20527/klik.v4i1.75
Sugianto, R. A., Roslina, R., & Situmorang, Z. (2021). Kombinasi Metode Simple Additive Weigthing dan Weigthed Product untuk Seleksi Proposal Program Kreatifitas Mahasiswa. Jurnal Media Informatika Budidarma, 5(2), 564–572. https://doi.org/10.30865/mib.v5i2.2929
Syahputra, Y. H., Santoso, I., & Lubis, Z. (2022). Sistem Pendukung Keputusan Penerimaan Karyawan Terbaik Menggunakan Metode Weighted Sum Model (WSM). Explorer, 2(2), 39–47. https://doi.org/10.47065/explorer.v2i2.249
Vinogradova-Zinkevič, I. (2023). Comparative Sensitivity Analysis of Some Fuzzy AHP Methods. Mathematics, 11(24), Article ID: 4984. https://doi.org/10.3390/math11244984
Więckowski, J., & Sałabun, W. (2023). Sensitivity Analysis Approaches in Multi-Criteria Decision Analysis: A Systematic Review. Applied Soft Computing, 148, Article ID: 110915. https://doi.org/10.1016/j.asoc.2023.110915
Zadeh, L. A. (1963). Optimality and Non-Scalar-Valued Performance Criteria. IEEE Transactions on Automatic Control, 8(1), 59–60. https://doi.org/10.1109/TAC.1963.1105511
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