IMPLEMENTASI METODE FUZZY ANALYTICAL HIERARCHY PROCESS (F-AHP) DALAM PENENTUAN BOBOT SELEKSI MAHASISWA PROGRAM PENDIDIKAN DOKTER SPESIALIS (Studi Kasus: PS Ilmu Kesehatan Kulit dan Kelamin FK Udayana)

Murni, Ni Nyoman (2023) IMPLEMENTASI METODE FUZZY ANALYTICAL HIERARCHY PROCESS (F-AHP) DALAM PENENTUAN BOBOT SELEKSI MAHASISWA PROGRAM PENDIDIKAN DOKTER SPESIALIS (Studi Kasus: PS Ilmu Kesehatan Kulit dan Kelamin FK Udayana). Masters thesis, Universitas Pendidikan Ganesha.

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Abstract

The purpose of this study was to implement the Fuzzy Analytical Hierarchy Process (F-AHP) method in determining the weight of admission of specialist medical education students in Skin and Gender Health Sciences at the Faculty of Medicine, Udayana University and measure the accuracy of the F-AHP method using the confusion matrix method. The F-AHP method is able to reduce the subjective assessment of criteria from the AHP method and produce more decisions. The calculation process starts from compiling a pairwise comparison matrix from the interview results, calculating the eigenvalue, calculating the consistency ratio value, converting the criteria weighting into the form of a paired matrix of F-AHP criteria, calculating the fuzzy syntethic extent value for each criterion until getting the weight of each variable. The resulting weights are: C1 = basic competency by 30%, C2 = Interview test by 30%, C3 = Academic potential test by 17%, and C4 = TOEFL by 23%. Accuracy testing is done using confusion matrix method validation. The total accuracy obtained is 89%, while the accuracy per-predicate of graduation is cumlaude = 93%, very satisfying = 84% and satisfying = 90%. The findings indicate that the weights obtained are significant to be applied in the selection process of specialist medical education program students

Item Type: Thesis (Masters)
Uncontrolled Keywords: Confusion Matrix, Fuzzy Analytical Hierarchy Process, Weighting
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Pascasarjana > Program Studi Ilmu Komputer (S2)
Depositing User: Ni Nyoman Murni
Date Deposited: 21 Oct 2023 03:58
Last Modified: 21 Oct 2023 03:58
URI: http://repo.undiksha.ac.id/id/eprint/17518

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