This study aims to classify the level of Automated Teller Machine (ATM) usage among students of Sriwijaya University using the Naïve Bayes method in a data mining approach. The level of ATM usage is divided into three categories, namely passive (0–2 times), moderate (3–5 times), and active (>5 times) per month. The data used is primary data collected from 120 respondents with variables inc…