METODE DBSCAN (DENSITY-BASED SPATIAL CLUSTERING OF APPLICATIONS WITH NOISE) UNTUK PENGELOMPOKAN SISWA BERDASARKAN POLA PENGGUNAAN APLIKASI PERPUSTAKAAN DIGITAL DALAM PENINGKATAN LITERASI SISWA

SARI, VIDI AYU PUSPITA and Dwipurwani, Oki and Susanti, Eka (2025) METODE DBSCAN (DENSITY-BASED SPATIAL CLUSTERING OF APPLICATIONS WITH NOISE) UNTUK PENGELOMPOKAN SISWA BERDASARKAN POLA PENGGUNAAN APLIKASI PERPUSTAKAAN DIGITAL DALAM PENINGKATAN LITERASI SISWA. Undergraduate thesis, Sriwijaya University.

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Abstract

This study employed the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) method to cluster the digital library application usage patterns of fifth-grade students at SD Negeri 11 Indralaya. Data were collected from 75 students, and the variables analyzed included activity level, reading duration, comprehension level, and question-answering ability. The clustering results revealed five distinct clusters: Cluster 0 comprised students with high activity and good comprehension; Cluster 1 was dominated by students with moderate activity and average comprehension; Clusters 2 and 3 exhibited moderate engagement; and Cluster 4 consisted of students with low activity. Validation using the Silhouette Score (0.867) and ANOVA analysis confirmed excellent clustering quality and significant differences among clusters. The clustering outcomes provide a strategic basis for developing tailored application features that address the specific needs of each student group, thereby optimizing learning interventions to enhance literacy.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	DBSCAN, Pengelompokan, Analisis Korelasi, Literasi membaca.
Subjects:	#1 Repository of Teaching and Learning Process (PBM) > Action Planing and Recomendation
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Vidi Ayu Puspita Sari
Date Deposited:	20 Mar 2025 05:12
Last Modified:	20 Mar 2025 05:12
URI:	http://repository.unsri.ac.id/id/eprint/169443

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