ANALISIS BIG DATA PENJUALAN VIDEO GAMES MENGUNAKAN EDA

DAVIT TORAMLI HUSNI (2022) ANALISIS BIG DATA PENJUALAN VIDEO GAMES MENGUNAKAN EDA , SKRIPSI, UNIVERSITAS PRIMA INDONESIA

ABSTRAK

Advertising is a very effective way for product marketing, this method is often used to disseminate product information to be marketed. Errors in the analysis of products to be marketed resulted in significant losses to the company  due to errors in the exploration of Big Data processing. Big data is described as large-scale data that can be presented, processed and analyzed using existing technologies, methods and theories. Therefore, an assessment of the big data of video game operators that is in demand by the market is carried out to determine the highest and lowest sales of video games using the Exploratory Data Analysis method so that a company can determine the games to be promoted and produced. The results obtained in this study that have the highest and lowest sales of video games in the global market by genre are action at 1745.27 and strategy at 174.5. And for sales by platform, PS2 is 1255.64 and PCFX is 0.03. With this method, video game  sales  can  be  presented  graphically,  making  it  easier  for  companies  to  determine  which  games  to market and promote small game sales.

JURNAL
KATEGORI JURNAL Jurnal Nasional Terakreditasi
TAHUN JURNAL 2022
VOLUME JURNAL 5
NOMOR JURNAL 1
NAMA PENERBIT TENKINKOM-Politeknik Bisnis Indonesia
NOMOR ISSN/ISBN 26213079
LAMAN PENERBIT (URL) http://jurnal.murnisadar.ac.id/index.php/Tekinkom/index
LAMAN ARTIKEL (URL) http://jurnal.murnisadar.ac.id/index.php/Tekinkom/article/view/517