Analisis K-Means Clustering pada Pendidikan Hibrid untuk Kearifan Lokal Siswa SMK

Sulomo Agil Budiyanto; Hanafi

doi:10.33365/jtikom.v6i2.1450

Sulomo Agil Budiyanto Universitas Amikom Yogyakarta
Hanafi Universitas Amikom Yogyakarta

DOI: https://doi.org/10.33365/jtikom.v6i2.1450

Keywords: Data Mining; Kearifan Lokal; K-Means Clustering; Pendidikan Karakter, Pembelajaran Hybrid;.

Abstract

This study aims to develop an inclusive hybrid character education model based on local wisdom using K-Means Clustering analysis to group students’ character profiles according to honesty, discipline, cooperation, responsibility, tolerance, care, pride in tradition, and mutual cooperation. The study employs an exploratory quantitative approach involving 115 students through questionnaires and observations. The results indicate that hybrid learning based on local wisdom enhances students’ character development and supports personalized learning strategies. The K-Means Clustering method successfully grouped students into three character clusters: high (23 students), moderate (39 students), and low (54 students). Differences among clusters were particularly evident in the indicators of discipline, responsibility, cooperation, and mutual cooperation. Cluster quality evaluation showed a Sum of Squared Error (SSE) value of 536.64 with a stable decreasing pattern, while a Silhouette Score of 0.123 indicates that the cluster structure is reasonably formed despite natural overlaps in human behavior. Visualization using Principal Component Analysis (PCA) revealed that the high character cluster is more distinctly separated compared to the moderate and low clusters. The findings imply that data-driven character mapping can serve as a basis for teachers to design more appropriate hybrid learning tailored to students’ characteristics, enabling character development to be conducted in a more focused, gradual, and contextually grounded manner in accordance with the school’s local wisdom.

Keywords: Character; Hybrid; K-Means Clustering; Local Wisdom

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