SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMBERIAN PENGHARGAAN BAGI PELANGGAN TERBAIK MENGGUNAKAN METODE TOPSIS

Dermi Tinambunan, NPM 2109405176 (2023) SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMBERIAN PENGHARGAAN BAGI PELANGGAN TERBAIK MENGGUNAKAN METODE TOPSIS. Tugas_ Akhir (Artikel) : Jurnal Tekinkom, 6 (2). pp. 1-7. ISSN 2621-3079 (e-ISSN) / 2621-1556 (p-ISSN)

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Abstract

Intense business competition encourages companies to look for ways to attract customers and maintain their loyalty. This research aims to solve the problem of giving awards to the best customers at the HD Graphics company. To make it easier for the HD Graphics company to choose the best customers to be awarded, a decision support system was built that can help make it easier for the company to choose the best customers from the company. The decision support system was built using the Topsis method (Order Preference Technique with Similarity to the Ideal Solution). The criteria used consist of the percentage of customer purchases, the percentage of smooth customer payments, customer loyalty, length of subscription, intensity of purchases, and number of cancellations by customers. The results of data processing from this case study research, obtained 3 best customers, namely Customers 04, 06 and 01 with Vi values of 0.9478, 0.9077 and 0.8104. With this decision support system, it can make it easier for companies to make decisions regarding giving awards to the best customers. Thus, this Decision Support System makes a positive contribution in improving the company's service to customers and increasing efficiency in selecting the best customers for awards. Keywords: Selection, Customer, TOPSIS, Criteria, Company.

Item Type: Article
Uncontrolled Keywords: Selection, Customer, TOPSIS, Criteria, Company.
Subjects: H Social Sciences > HF Commerce
T Technology > T Technology (General)
Divisions: Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User: Unnamed user with email repository@ulb.ac.id
Date Deposited: 17 Nov 2023 04:16
Last Modified: 17 Nov 2023 04:16
URI: http://repository.ulb.ac.id/id/eprint/509

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