Rang Teknik Journal
Vol 1, No 2 (2018): Vol. 1 No. 2 Juni 2018

PENENTUAN TINGKAT MINAT BELANJA ONLINE MELALUI MEDIA SOSIAL MENGGUNAKAN METODE CLUSTERING K-MEANS

Anita Anita (Unknown)

Article Info

Publish Date
22 Jun 2018

Abstract

Social media becomes the pre-eminent businessperson in marketing the goods. This is based on the increasing use of social media from year to year. The determination of the level of interest in online shopping through social media aims to help find out which social media are in demand in online shopping. In this study the data used are social media BBM Group, Instagram, Facebook, Twitter and Whatsapp and age and gender. In determining the level of online shopping interest one method of Data Mining used is the method of Clustering K-Means. Clustering is the process of dividing data into classes or clusters based on their similarity. To assist in data processing used Rapid Miner application that is able to provide information on the level of interest in online shopping in social media

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Journal Info
Rang Teknik Journal
Website

Abbrev

RANGTEKNIKJOURNAL

Publisher

Universitas Muhammadiyah Sumatera Barat

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering

Description

RANG TEKNIK JOURNAL, merupakan Jurnal Penelitian dan Kajian Ilmiah yang diterbitkan Fakultas Teknik Universitas Muhammadiyah Sumatera Barat yang terbit 2 (dua) kali dalam ...