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TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains
Published by Sekolah Tinggi Ilmu Komputer Binaniaga
ISSN : 20873891     EISSN : 25978918     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
TEKNOIS : Jurnal Ilmiah Teknologi - Informasi & Sains Publish by the STIKOM Binaniaga. TeknoIS published twice a year, in May and November. TeknoIS includes Research in the field of Information Technology, Information System, Computer Science and Other. Editors invite research lecturers the reviewer, practitioners industry, and observers to contribute to this journal.
Arjuna Subject : -
Articles 11 Documents
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Search results for , issue "Vol 12, No 2 (2022): Volume 12, No 2 (2022): July" : 11 Documents clear
Penerapan Metode SImple Additive Weighting (SAW) Untuk Rekomendasi Prioritas Relationship Marketing Terbaik Berdasarkan Topik Pencapaian Di PT. Bank Dona Ramadhani; Syafrial Nursaily
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 12, No 2 (2022): Volume 12, No 2 (2022): July
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v12i2.143

Abstract

PT. The Bank is a financial services company engaged in the banking sector, in carrying out operations it selects outstanding employees in each part of its work unit, especially the sales unit. Relationship Marketing is a person who takes an approach in managing corporate relationships with customers at the business level so that they can maximize communication and marketing through managing various different contacts. This research development for the Best Relationship Marketing Priority Recommendation will be recommended to Branch Managers by applying the SAW (Simple Additive Weighting) method and building a prototype with a Web-based system. Using 5 criteria that have been determined by PT. Bank, namely: AVG Performance, Attendance, Teamwork, Responsibility, and Loyalty. The system was tested with 5 RM data as testing data at PT. The bank with the highest-ranking score is RM B with a score of 1.00. The feasibility of the system was tested by the feasibility percentage given to information systems experts and users involved with the results obtained of 98%. The effectiveness of the application of the method was also tested using the Spearman Correlation Rank with the test results obtained at 0.9516

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