Pengelompokan Data PBB Masyarakat Berdasarkan Jumlah PBB Terhutang Pada Kantor Desa Padang Brahrang Menggunakan Metode Clustering

Authors

  • Jenni Mardini STMIK Kaputama, Binjai, Sumatera Utara

Keywords:

Algoritma_K-Means, Clustering, Data_Mining, Data PBB Masyarakat, Matlab, Gui

Abstract

Land and Building Tax (PBB) in rural and urban areas is a tax on land and/or buildings that are owned, controlled and/used by individuals or entities, except for areas used for plantation, forestry and mining businesses. This research can assist the Padang Brahrang Village Government in increasing tax revenue sharing (PBH) revenue in Padang Brahrang village. Writing this proposal uses the clustering method which is a data mining technique for grouping PBB data for the Padang Brahrang Village Community using the k-means algorithm clustering method. Based on the results of the Clustering process using MATLAB, it can be seen in the description: It can be seen that the largest amount of data is in cluster 1 with the amount of data in the UN community data, namely: the tax object area (hamlet) is Dusun Mawar with a land area between ≤100M-2,000M with a range of tax payable, namely ≤Rp. 10,000-Rp. 2,000,000.

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Additional Files

Published

2024-05-25

How to Cite

Mardini, J. (2024). Pengelompokan Data PBB Masyarakat Berdasarkan Jumlah PBB Terhutang Pada Kantor Desa Padang Brahrang Menggunakan Metode Clustering. Journal of Mathematics and Technology (MATECH), 3(1), 54–61. Retrieved from https://journal.binainternusa.org/index.php/matech/article/view/167