Browsing Master Theses by Advisor "Fahmi"
Now showing items 1-2 of 2
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Klasterisasi Rotational Churn terhadap Pelanggan Telekomunikasi Menggunakan Pendekatan Data-Centric AI
(Universitas Sumatera Utara, 2024)In the current era of rapid technological development, customer churn poses a serious challenge, especially in the highly competitive telecommunications industry. Churn refers to customers who stop using a service or switch ... -
Pembangkitan Data Sintetik dalam Length Recency Frequency Monetary (LRFM) dan Klasterisasi K-Means untuk Segmentasi Pelanggan
(2024)Customer segmentation is a critical component in developing effective marketing strategies, yet obtaining accurate and comprehensive customer datasets frequently poses significant challenges. This study investigates the ...