Jurnal Mantik
Vol. 4 No. 4 (2021): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Data Mining in Grouping Indihome Customer Data Using the K–Means Clustering Method at PT.Telkom Akses

Egi Affandi (STMIK Triguna Dharma Medan)
Syahrin Syam Noor Berutu (STMIK Triguna Dharma Medan)
Yohanni Syahra (Universitas Pembangunan Panca Budi)
A. Amrullah (STMIK Triguna Dharma Medan)

Article Info

Publish Date
15 Feb 2021

Abstract

PT. Telkom Akses is part of the PT. Telekomunikasi Indonesia, Tbk (Telkom) company whose shares the stock and fully owned by Telkom.Telkom is a state owned company and as an IndiHome service Provider. So far, PT. Telkom Akses still has problems in classifying customer data. Based on these problems, PTTA requires a computer application that can cluster customer data and use data mining that can help solve problems that occur using the clustering method.. One of the methods offered to solve this problem is the k-means algorithm. The results of this study, the authors design and design a desktop-based information system that can implement the clustering method to produce customer data clusters according to the needs of PT. Telkom Access

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Journal Info
Jurnal Mantik
Website

Abbrev

mantik

Publisher

Institute Of Computer Science

Subject

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Description

Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public ...