SciRepID - Penerapan Metode Clustering Untuk Mengetahui Kepatuhan Wajib Pajak Bumi Dan Bangunan Pada Desa Perkebunan Tanjung Keliling

📅 17 September 2024
DOI: 10.62951/bridge.v2i4.242

Penerapan Metode Clustering Untuk Mengetahui Kepatuhan Wajib Pajak Bumi Dan Bangunan Pada Desa Perkebunan Tanjung Keliling

Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)

📄 Abstract

Land and Building Tax (PBB) is a type of area regulated by the government in determining the amount of tax for implementation and development as well as increasing the prosperity and well-being of the people. Based on taxpayer compliance data in Tanjung Keliling Plantation, the results of tests carried out using the Clustering algorithm can determine the variables of ownership area, hamlet name and payment level. Clusters 1,2,3 of 600 PBB taxpayer data, namely where cluster 1 has 166 data, can be grouped based on the Ownership Area of "500,001-600,000m2" with the Hamlet Name "Ujung Bangun" and the Payment Level "Quite Good". Cluster 2 consists of 196 data, which can be grouped based on ownership area "200,001-300,000m2" with the hamlet name "Karang Jati" and payment level "fairly good".  And Cluster 3 with a total of 238 data, can be grouped based on the Ownership Area "400,001-500,000m2" with the Hamlet Name "Mojosari" and the Payment Level "Quite Good".

🔖 Keywords

#Clustering; Kepatuhan PBB; Matlab

ℹ️ Informasi Publikasi

Tanggal Publikasi
17 September 2024
Volume / Nomor / Tahun
Volume 2, Nomor 4, Tahun 2024

📝 HOW TO CITE

Ratna Cantika; Achmad Fauzi; Anton Sihombing, "Penerapan Metode Clustering Untuk Mengetahui Kepatuhan Wajib Pajak Bumi Dan Bangunan Pada Desa Perkebunan Tanjung Keliling," Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi, vol. 2, no. 4, Sep. 2024.

ACM
ACS
APA
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver

🔗 Artikel Terkait dari Jurnal yang Sama

📊 Statistik Sitasi Jurnal

Tren Sitasi per Tahun