JISKA (Jurnal Informatika Sunan Kalijaga) (Jan 2021)

Implementasi Closeness Centrality dalam Analisis Penyanyi Indonesia di DBpedia Indonesia

  • Nur Aini Rakhmawati,
  • Ahmad Naufal Muzakki,
  • Luthfi Lazuardi

DOI
https://doi.org/10.14421/jiska.2021.61-03
Journal volume & issue
Vol. 6, no. 1

Abstract

Read online

Indonesian singers have a diverse musical genre. They also origin from several regions in Indonesia. This study analyzes the relationships between singers, genre, and origin of the singer using the Closeness Centrality algorithm. Data are retrieved by using a SPARQL query on DBpedia Indonesia. The generated graph produces a density value of 0.01. The results of the Closeness Centrality calculation shows that more than 50% out of 268 singers had scores above 30%.