Please use this identifier to cite or link to this item: https://repositori.uma.ac.id/handle/123456789/17063
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMuliono, Rizki-
dc.contributor.advisorMuhathir-
dc.contributor.authorTalunohi, Ivan-
dc.date.accessioned2022-06-20T06:55:06Z-
dc.date.available2022-06-20T06:55:06Z-
dc.date.issued2022-02-25-
dc.identifier.urihttps://repositori.uma.ac.id/handle/123456789/17063-
dc.description66 Halamanen_US
dc.description.abstractProgram Kemitraan Dan Bina Lingkungan (PKBL) PT Kawasa Industri Medan (KIM) merupakan salah satu bidang yang bergerak di program kemitraan dan bina lingkungan. Sistem pendukung keputusan adalah suatu sistem informasi komputer yang interaktif yang dapat memberikan alternatif solusi bagi pengambil keputusan, pada pembuat sistem pendukung keputusan dibutuhkan metode. Penelitian ini menggunakan metode perbandingan Analitical Hierarcy Process (AHP) dan Simple Additive Weighting (SAW). Berdasarkan analisis yang di lakukan dari kedua metode ini, dengan menggunakan model pengujian Kawasan Industri Medan menginputkan 26 data menggunkan model pengujian PKBL TP.KIM hasil dari metode Simple Additive Weighting (SAW) dan metode Analitical Hierarcy Process (AHP) memiliki tingkat persentase yang sama adalah 88.461%, model trashold maks – min tingkat persentase 96.153%, model trashold maks – median dengan tingkat persentase 76.932 % dengan selisih 0%. Sementara menggunakan model trashold maks – mean, tingkat persentase SAW 86.769% yang memiliki persentase yang lebih besar di bandingankan dengan AHP dengan tingkat persentase 76.932 % dengan selisih persentase 11.837%. The Partnership and Community Development Program (PKBL) of PT Kawasa Industri Medan (KIM) is one of the fields engaged in partnership and environmental development programs. Decision support system is an interactive computer information system that can provide alternative solutions for decision makers, the decision support system maker requires a method. This study uses the comparative method of Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW). Based on the analysis carried out from these two methods, using the Medan Industrial Estate test model inputting 26 data using the TP.KIM PKBL testing model the results from the Simple Additive Weighting (SAW) method and the Analytical Hierarchy Process (AHP) method have the same percentage level, namely 88.461%, max – min trashold model 96.153% percentage rate, max – median trashold model with 76.932% percentage rate with a difference of 0%. While using the max-mean trashold model, the SAW percentage level is 86,769% which has a larger percentage compared to AHP with a percentage rate of 76,932% with a percentage difference of 11.837%.en_US
dc.language.isoiden_US
dc.publisherUniversitas Medan Areaen_US
dc.relation.ispartofseriesNPM;178160028-
dc.subjectPKBLen_US
dc.subjectsistem pendukung keputusanen_US
dc.subjectSAWen_US
dc.subjectAHPen_US
dc.subjectdataen_US
dc.subjectdecision support systemen_US
dc.titleSistem Pendukung Keputusan Penerimaan Mitra Binaan Baru Menggunakan Perbandingan Metode Simple Additive Weighting dan Analytical Hierarchy Process (Studi Kasus : Program Kemitraan dan Bina Lingkungan PT. Kawasan Industri Medan)en_US
dc.title.alternativeDecision Support System for Admission of New Fostered Partners Using Comparison of Simple Additive Weighting Methods and Analytical Hierarchy Process (Case Study: Partnership and Community Development Program PT. Kawasan Industri Medan)en_US
dc.typeThesisen_US
Appears in Collections:SP - Informatic Engineering

Files in This Item:
File Description SizeFormat 
178160028 - Ivan Talunohi - Fulltext.pdfCover, Abstract, Chapter I, II, III, V, Bibliography1.61 MBAdobe PDFView/Open
178160028 - Ivan Talunohi - Chapter IV.pdf
  Restricted Access
Chapter IV758.22 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.