Jurnal Komputer, Informasi dan Teknologi
Vol. 1 No. 2 (2021): DESEMBER

Application of the K-Means Clustering Algorithm in Mapping the Regional Voter Strategy for the Legislative Candidates for the DPR RI

Dhika Alfatah (Sekolah Tinggi Ilmu Administrasi Bengkulu)

Article Info

Publish Date
31 Dec 2021

Abstract

This study applies Data Mining by using the Clustering method to map the electoral strategy for the Legislative Candidates in Bengkulu City. The algorithm used is K-Means Clustering, where data grouped based on the same characteristics will be included in the same group and data sets are entered into the same group. in non-overlapping groups. The information displayed is in the form of product data groups based on the voter vote level in each village, so that it is known which regions/villages have high, medium or low voter levels. The test was carried out with the RapidMiner 5.3 application, resulting in clusters with high, medium or low voter rates..

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Journal Info
Jurnal Komputer, Informasi dan Teknologi
Website

Abbrev

KOMITEK

Publisher

Penerbit ADM Bengkulu

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

KOMITEK Journal (Computer, Information and Technology) journal was founded in 2021. It is an interesting and useful national journal for all parties with an interest in research in various fields of, or closely related to, the disciplines of Computer, Information and Technology. KOMITEK Journal aims ...