Published: 2025-04-01

Penerapan Data Mining untuk Klasterisasi Data Anggaran Pendapatan dan Belanja Daerah Menggunakan Algoritma K-Means

DOI: 10.35870/jtik.v9i2.3425

Widianto, M. Rifqy Zakaria, Irvan
  • Widianto: Universitas Panca Sakti Bekasi , , Indonesia
  • M. Rifqy Zakaria: Universitas Panca Sakti Bekasi , , Indonesia
  • Irvan: Universitas Panca Sakti Bekasi , , Indonesia

Abstract

To continue the development relay and fulfill the transition period until the simultaneous elections are held, it is necessary to prepare a Regional Development Plan (RPD) for regional heads whose terms of office end in 2022. The K-Means algorithm approach can be applied in analyzing the level of potential regional income and expenditure based on regional income and expenditure clusters that have results in the K-Means algorithm testing process, two clusters cluster 1 (C0) is a category of high spending potential consisting of and cluster 2 (C1) and is a low spending potential. The applied K-Means algorithm model has results that show a new insight, namely the grouping of regional income and expenditure budget data for the Tolikara Regency BPKAD based on 2 clusters has cluster results of 47 and 3. In analyzing the level of potential regional income and expenditure, the results of the test have centroid results 1 192973008, 16700000 and centroid results 2 7000000 and 225000000.

Keywords

Income ; Regional Expenditure ; Clustering ; Web based

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Widianto, Zakaria, M. R., & Irvan. (2025). Penerapan Data Mining untuk Klasterisasi Data Anggaran Pendapatan dan Belanja Daerah Menggunakan Algoritma K-Means. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(2), 622-630. https://doi.org/10.35870/jtik.v9i2.3425
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This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 9 No. 2 (2025)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2025

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Author Biographies
Widianto
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Panca Sakti Bekasi, Kota Bekasi, Provinsi Jawa Barat, Indonesia.

M. Rifqy Zakaria
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Panca Sakti Bekasi, Kota Bekasi, Provinsi Jawa Barat, Indonesia.

Irvan
Google Scholar ResearchGate ORCID

Program Studi Teknik Informatika, Fakultas Sains dan Teknologi, Universitas Panca Sakti Bekasi, Kota Bekasi, Provinsi Jawa Barat, Indonesia.

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