Data Mapping using Combining Clustering Methods and C.45 Classification

School participation is measured by the Pure Participation Rate (APM). This study examines whether data mining can generate new knowledge. The Central Sumatra Statistic Agency (BPS-North Sumatra) provided secondary statistics on APM city/district (2011–2019) for elementary, junior high, high school, and PT. Data uses clustering (k-means) classification (Decision tree). cluster maps APM. Mapping clusters are utilized again categorization. Cluster value ranges indicate classification. C1 was cluster, C2 low cluster. RapidMiner aids processing. found 18 high-cluster (C1) cities 15 low-cluster (C2). Based results obtained, show that SMA PT become influential attributes in mapping area based Decision tree method, resulting 3 rules: if has a percentage 68,085% presentation 18,730%. (high cluster). Classification have yielded data.