Analisa Loyalitas Pelanggan Dengan Metode Recency Frequency Monetary (RFM) dan K-Means Cluster pada Online Shop Oleh-Oleh Khas Labuan Bajo. (Customer Loyalty Analysis Using Recency, Frequency, Monetary (RFM) and K-means Cluster Methods at Online Shop Typical Souvenirs of Labuan Bajo).

Mulyani, Yosevina (2022) Analisa Loyalitas Pelanggan Dengan Metode Recency Frequency Monetary (RFM) dan K-Means Cluster pada Online Shop Oleh-Oleh Khas Labuan Bajo. (Customer Loyalty Analysis Using Recency, Frequency, Monetary (RFM) and K-means Cluster Methods at Online Shop Typical Souvenirs of Labuan Bajo). Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

Labuan Bajo souvenir shop is a shop that sells various types of souvenirs typical of Labuan Bajo. In the sales process, this store uses manual methods, such as using a phone or whatsapp to connect with customers who place orders, besides that a typical Labuan bajo souvenir shop wants to implement the right marketing strategy to increase sales. With these problems, a system is needed that can automatically manage customers. Recency, Frequency Monetary is a method often used in assigning value or weighting to customers from the transaction process. The results of the weighting will be analyzed and grouped by k-means. From the results of the grouping in the last 3 months, it was found that the typical Labuan Bajo souvenir shop has 1 regular customer, 3 potential customers and 6 ordinary customers, then testing will be carried out with tests that are obtained from the features on the system concluded that the system can be said to have run well, so that it can help the typical Labuan Bajo souvenir shop in the sales process. Keywords: Online shop, RFM, K-means , Coustemer Segmention

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Online shop, RFM, K-means, Pengelompokan pelanggan
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Program Studi Teknik Informatika
Depositing User: 1461900040 Yosevina Mulyani
Date Deposited: 24 Mar 2023 06:59
Last Modified: 24 Mar 2023 06:59
URI: http://repository.untag-sby.ac.id/id/eprint/23176

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