Muhammad Abu Shaker Hunaif, NIM.: 20106050024 (2024) PERBANDINGAN SENSITIVITAS METODE SAW, MAUT, DAN WSM PADA ANUGERAH MUTU NON-AKADEMIK UNIVERSITAS. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.
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Text (PERBANDINGAN SENSITIVITAS METODE SAW, MAUT, DAN WSM PADA ANUGERAH MUTU NON-AKADEMIK UNIVERSITAS)
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Text (PERBANDINGAN SENSITIVITAS METODE SAW, MAUT, DAN WSM PADA ANUGERAH MUTU NON-AKADEMIK UNIVERSITAS)
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Abstract
Decision Support System is a technology that can help in decision making process. Many methods can be used in Decision Support System so it’s important to choose a suitable method. Unfortunately, not all methods are as commonly used as SAW method. The two methods in this category are MAUT and WSM methods which are rarely used compared to SAW method so it’s difficult to know if these two methods are more suitable than other methods in certain cases. To find out whether a method is more suitable for a case than another method is to do a sensitivity test. By doing sensitivity tests between the two methods and other methods such as SAW in the same case, it’s possible to find out the comparison of sensitivity percentages between the three. One case that can be helped by a Decision Support System using the three methods is ANOMIK assessment at universities. The three methods produced the same best alternative, namely Faculty 9. After doing a sensitivity test, the results showed that WSM method was the most sensitive with a value of 4.954%, followed by SAW method with a value of 4.901% and finally MAUT method with 3.844%.
Item Type: | Thesis (Skripsi) |
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Additional Information: | Pembimbing: Muhammad Galih Wonoseto, M.T. |
Uncontrolled Keywords: | Sistem Pendukung Keputusan, SAW, MAUT, WSM, ANOMIK |
Subjects: | 000 Ilmu Komputer, Ilmu Informasi, dan Karya Umum > 000 Karya Umum > 005.12 Software System Analysis and Design/Sistem Analisa dan Desain Perangkat Lunak 900 Sejarah, Biografi, dan Geografi > 910 Geografi dan Perjalanan > 000 Karya Umum > 005.12 Software System Analysis and Design/Sistem Analisa dan Desain Perangkat Lunak |
Divisions: | Fakultas Sains dan Teknologi > Teknik Informatika (S1) |
Depositing User: | Muh Khabib, SIP. |
Date Deposited: | 08 Jul 2024 11:21 |
Last Modified: | 08 Jul 2024 11:21 |
URI: | http://digilib.uin-suka.ac.id/id/eprint/65661 |
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