Pengelompokan Data PBB Masyarakat Berdasarkan Jumlah PBB Terhutang Pada Kantor Desa Padang Brahrang Menggunakan Metode Clustering
Keywords:
Algoritma_K-Means, Clustering, Data_Mining, Data PBB Masyarakat, Matlab, GuiAbstract
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.
References
M. A. Putri, N. Rahaningsih, F. M. Basysyar, and O. Nurdiawan, “Penerapan Data Mining Menggunakan Metode Clustering Untuk Mengetahui Kelompok Kepatuhan Wajib Pajak Bumi dan Bangunan,” J. Account. Inf. Syst., vol. 5, no. 2, pp. 145–156, 2022, [Online]. Available: https://jurnal.masoemuniversity.ac.id/index.php/aims/article/view/496
T. Noviana, J. Jasmir, and Y. Novianto, “Penerapan Data Mining Menentukan Kelompok Prioritas Penerima Bantuan Beras Rastra Dengan Clustering K-Means,” Progr. Stud. Tek. Inform. Stikom Din. Bangsa, pp. 159–174, 2019.
L. W. S. Amna Wahyuddin.s, I Gede Iwan Sudipa, Tri Andi EPutra, Ahmad Jumaidi Wahyuddin, Wara Alfa Syukrila, Anindya Krisna Wardani, Nono Keryana, Tutuk Inddriyani, DATA MINING. Padang, Sumatera Barat: PT. Global Eksekutif Teknologi, 2023.
S. K. M. K. Dasril Aldo, S. P. M. K. Afriosa Syawitri, S. K. M. K. Alwendi, S. K. M. K. Darmansah, and S. K. M. K. Khairunnisa Samosir, DATA MINING. Insan Cendekia Mandiri, 2021. [Online]. Available: https://books.google.co.id/books?id=zWgtEAAAQBAJ
S. B. Cahyo Prianto, PEMBUATAN APLIKASI CLUSTERING GANGGUAN JARINGAN MENGGUNAKAN METODE KMEANS CLUSTERING. Bandung: Kreatif Industri Nusantara, 2020.
D. Aldo, “Data Mining Sales of Skin Care Products Using the K-Means Method,” Sinkron, vol. 8, no. 1, pp. 295–304, 2023, doi: 10.33395/sinkron.v8i1.12007.
I. Werdiningsih, D. C. R. Novitasari, and D. Z. Haq, Pengelolaan Data Mining dengan Pemrograman Matlab. Airlangga University Press, 2022. [Online]. Available: https://books.google.co.id/books?id=CgOdEAAAQBAJ
M. A. Setiawan, Graphical User Interface (GUI) Matlab dan Interface dengan Arduino. Bangka Belitung: Politeknik Manufaktur Negeri Bangka Belitung, 2022. [Online]. Available: https://books.google.co.id/books?id=FeR3EAAAQBAJ
S. Purwaningsih, Pranata Sosial dalam Kehidupan Masyarakat. Alprin, 2020. [Online]. Available: https://books.google.co.id/books?id=uAYBEAAAQBAJ
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Jenni Mardini
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
<p><a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" rel="license"><img style="border-width: 0;" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" alt="Creative Commons License" /></a><br /><strong>MATECH</strong> This work is licensed under a <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" rel="license">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.</p>
