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Yosevina Mulyani
Universitas 17 Agustus 1945
Computer Science & IT

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Customer Loyalty Analysis Using Recency,Frequency, Monetary (RFM) and K-means Cluster for Labuan Bajo Souvenirs in Online Store Supangat Supangat; Yosevina Mulyani
Journal of Information System and Informatics Vol 5 No 1 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i1.421

Abstract

An average Labuan Bajo souvenir shop sells a variety of souvenirs specific to Labuan Bajo. However, the sales process is still manual, with the shop resorting to telephone or WhatsApp communication to connect with customers for placing orders. To increase sales, typical souvenir shops in Labuan Bajo are interested in adopting effective marketing strategies. Consequently, an automated system is necessary to manage customers. The Recency, Frequency, and Monetary Analysis methods are commonly used for assigning values or weights to customers during transactions. These weights are then analyzed and grouped using k-means. Recent data analysis over the last three months reveals that the typical Labuan Bajo souvenir shop has one regular customer, three potential customers, and six regular customers. Testing the system's features showed that it was functioning correctly, and therefore, it can assist the typical Labuan Bajo souvenir shop in streamlining the sales process.
Co-Authors Supangat Supangat