The Grouping Of Types Of Tax Revenue In Binjai City Uses The K-Means Clustering Method Algorithm

Anita Renni Arianti; Novriyenni Novriyenni; Indah Ambarita

doi:10.59934/jaiea.v3i1.286

Authors

Anita Renni Arianti STMIK KAPUTAMA
Novriyenni Novriyenni STMIK KAPUTAMA
Indah Ambarita STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v3i1.286

Keywords:

Datamining, Grouping Types of Tax Revenuee, K – Means

Abstract

Taxes are a major source of state revenue. Without taxes, most activities of the country are difficult to implement. The use of tax money includes ranging from employee shopping to financing various development projects. Public utilities such as roads, Bridges, schools, hospitals/center facilities, police stations are financed with tax returns. Tax money is also used for financing to provide a sense of security for all levels of society. Every citizen from birth to death enjoys facilities or government services all funded with tax money.

Downloads

Download data is not yet available.

References

Sariani, Saripurna, D., & Saragih, R. (2022). Pengelompokan Data Pengguna Narkoba yang Melakukan Program Rehabilitas Rawat Jalan Menggunakan Metode Clustering (Studi Kasus : BNN Kota Binjai), 1-11.

Siahaan, M. (2022). Data Mining Strategi Pembangunan Infrastruktur Menggunakan Algoritma K-Means, 317-323.

Masruroh Siti, & Zulaikha. (2013). Pengaruh Kemanfaatan NPWP,Pemahaman Wajib Pajak,Kualitas Pelayanan, Sanksi Perpajakan terhadap Kepatuhan Wajib Pajak (Studi Empiris pada WP OP di Kabupaten Tegal). Diponegoro Journal of Accounting..

M. W. Talakua., Z. A. Leleury., A. W. Talluta.(2017). Analisis Cluster Dengan Menggunakan Metode K-Means Untuk Pengelompokan Kabupaten/Kota Di Provinsi Maluku Berdasarkan Indikator Indeks Pembangunan Manusia Tahun 2014

Khakik, N., Ginting, s., & Novriyenni. (2022). Data Mining Pengaduhan Hukum Berdasarkan Kasus Dengan menggunakan Metode Clustering

Hermawati, F. A. (2013). Data Mining. CV. Andi Offset, Yogyakarta.

Adi Setiawan., (2022). Perbandingan Penggunaan Jarak Manhattan, Jarak Euclid, dan Jarak Minkowski dalam Klasifikasi Menggunakan Metode KNN pada Data Iris. Vol.5, No.1

Wulan Alinda Wahyuni., Sudin Saepudin. (2021). Penerapan Data Mining Clustering Untuk Mengelompokan Berbagai Jenis Merk Mesin Cuci.