Klasterisasi Koleksi Budaya Nusantara di Perpustakaan Nasional Republik Indonesia:

Abstrak

Cultural representation within library collections serves as a key indicator of informational diversity and the preservation of local identities. Inequality in the distribution of cultural collections may reflect a lack of documentation from certain regions and poses the risk of marginalizing valuable local knowledge. This study analyzes the geographical distribution of Nusantara cultural collections at the National Library of Indonesia by province, using a quantitative approach with the K-Means clustering algorithm implemented through Orange Data Mining. Analysis of data from 38 provinces reveals five distinct collection clusters, with the highest concentrations found in West Java, North Sumatra, and Bali. Visualizations using Silhouette Plot and Scatter Plot demonstrate good clustering quality and highlight interregional variations in representation. A thematic analysis using a Word Cloud reveals the dominance of topics such as customs, traditions, and folklore. These findings underscore the need for more equitable and collaborative collection development policies across regions, and demonstrate the potential of data mining techniques for region-based collection mapping.

Identifier

• DOI: https://doi.org/10.37014/medpus.v32i2.5771
• OpenAlex: https://openalex.org/W7164171371