Work

Implementation of the K-Means Clustering Technique Using RFM Attributes to Enhance Donor Retention at Masjid Nusantara

Year: 2024

Type: conference-paper

DOI: 10.1109/incitest64888.2024.11121472

Authors: Iqbal Muhammad Farisi, Sri Supatmi

Institution: Universitas Komputer Indonesia

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4413319295

FWCI:

Cites: 12

Cited by:

Related to: 10