Klasterisasi Peraturan Daerah di Seluruh Wilayah Jawa dengan Menggunakan Algoritma K-means

Authors

  • Nur Aini Rakhmawati Institut Teknologi Sepuluh Nopember http://orcid.org/0000-0002-1321-4564
  • Deanda Bevani Aletha Institut Teknologi Sepuluh Nopember
  • Luh Putu Gayatri Widiastuti Institut Teknologi Sepuluh Nopember
  • Alexander Sidum Laka Kaki Institut Teknologi Sepuluh Nopember
  • Achmad Thoriq Aminullah Institut Teknologi Sepuluh Nopember

DOI:

https://doi.org/10.32736/sisfokom.v9i2.816

Keywords:

JDIH, Clustering, K-means, legal product

Abstract

The Local Indonesian government generates various legal products. This study aims to cluster the titles of regional regulations in Java. The data are collected from law repositories of all provincial governments in Java. The repository is called as JDIH. The analytical method used is clustering with the K-means algorithm. We divide 1849 regulations into ten clusters. 890 data are in the cluster related to motor vehicle tax, public health and safety.

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Published

2020-07-21

Issue

Vol. 9 No. 2 (2020): JULI

Section

Articles

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