ANALISIS PERBANDINGAN SENSITIVITAS METODE WEIGHTED PRODUCT DAN SIMPLE ADDITIVE WEIGHTING DALAM PENENTUAN LOKASI TERBAIK KKN REGULER DI UIN SUNAN KALIJAGA

Dawud Nasirudin Tahir, NIM.: 17106050020 (2021) ANALISIS PERBANDINGAN SENSITIVITAS METODE WEIGHTED PRODUCT DAN SIMPLE ADDITIVE WEIGHTING DALAM PENENTUAN LOKASI TERBAIK KKN REGULER DI UIN SUNAN KALIJAGA. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

The Institute for Research and Community Service (LPPM) as the executor of the real work lectures (KKN) at UIN Sunan Kalijaga Yogyakarta. The LPPM officer in charge of determining the location of the Regular KKN in an area will collect information and list the candidate locations to be selected for the implementation of the Regular KKN. When the number of locations exceeds the number of Regular KKN groups formed, LPPM officers must choose the best location to be used as a place for the implementation of KKN. This study aims to determine the most sensitive method between the Weighted Product (WP) method and the Simple Additive Weighting (SAW) method by increasing the weight of the criteria and comparing the ranking results before increasing the weight and after increasing the weight. Then the results of the ranking changes will be compared between the two methods. After that, a recommendation for the location of KKN was obtained from each method and a location recommendation was taken from the most sensitive method. In this study, it was concluded that the sensitivity analysis of the Weighted Product (WP) method produced a sensitivity percentage of 36.528% while the Simple Additive Weighting (SAW) method produced a sensitivity percentage of 36.424%. So it can be said that the Weighted Product (WP) method is the most relevant method used in making decisions on choosing the best Regular KKN location at UIN Sunan Kalijaga.

Item Type: Thesis (Skripsi)
Additional Information: Pembimbing: Maria Ulfah Siregar, S.Kom., M.IT., Ph.D.
Uncontrolled Keywords: Analisis Perbandingan, Analisis Sensitivitas, Simple Additive Weighting (SAW), Weighted Product (WP), KKN Reguler, Sistem Pendukung Keputusan.
Subjects: Tehnik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika (S1)
Depositing User: Muh Khabib, SIP.
Date Deposited: 22 Feb 2022 10:24
Last Modified: 22 Feb 2022 10:24
URI: http://digilib.uin-suka.ac.id/id/eprint/49440

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