IMPLEMENTASI DATA MINING MENGGUNAKAN METODE K-MEANS UNTUK MENENTUKAN KLASIFIKASI LAPANGAN USAHA (KLU) YANG POTENSIAL PADA KANWIL DJP BENGKULU DAN LAMPUNG

UTAMI, NABILAH SARI and Ermatita, Ermatita (2018) IMPLEMENTASI DATA MINING MENGGUNAKAN METODE K-MEANS UNTUK MENENTUKAN KLASIFIKASI LAPANGAN USAHA (KLU) YANG POTENSIAL PADA KANWIL DJP BENGKULU DAN LAMPUNG. Undergraduate thesis, Sriwijaya University.

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Abstract

Regional Office of the Directorate General of Taxes Bengkulu and Lampung is the work unit of Bengkulu and Lampung areas, where previously Bengkulu and Lampung areas are under the Regional Office of Directorate General of Taxes of South Sumatra (Regional Office of DGT Sumbagsel) based in Palembang. Number of Business Classification that must be supervised make tax revenue at Regional Office of Directorate General of Taxes Bengkulu and Lampung not meet the target. To that end, it is designed an application that implements the concept of data mining using the K-Means method to classify which Business Field Classification is potential. The data used as a sample in this study is the data of 2012 until 2014. By doing the calculation of the number of taxpayers and the amount of payment. The result is an illustration showing which Classification is potential, potentially enough, and potentially less.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Data Mining, K-Means, Grouping
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions: Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User: Mrs Sri Astuti
Date Deposited: 11 Sep 2019 05:37
Last Modified: 11 Sep 2019 05:37
URI: http://repository.unsri.ac.id/id/eprint/7077

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