Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507001736	T169443	T1694432025	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1694432025

Publisher

Indralaya : Prodi Ilmu Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2025

Collation

xiii, 85 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

510.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Matematika
Prodi Ilmu Matematika

Specific Detail Info

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Statement of Responsibility

TUTI

Other version/related

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