Customer churn, or the loss of customers, is a major challenge in the banking industry as it can lead to significant financial losses. This study aims to segment customers based on characteristics that influence churn risk using the K-Means algorithm. The data used is secondary data consisting of a bank customer churn dataset with 9,763 records obtained from the Kaggle platform, processed follo…
This research is motivated by difficulties in managing financial data on CV. Mulya Jaya Utama. This resulted in a slow presentation of financial reports because they were still managing and recapitulating financial data manually. To overcome this, this research produces a web-based company financial data management application that can facilitate the management and reporting of company financia…