Data Mining in Sales Data Grouping


Author

Supriyati, S.E., M.Si., Ak., CA., ASEAN CPA., C.PI., CIAP.

Abstrak

The purpose of making data mining is to make sales data neatly organized and based on sales data can see sales potential that can increase company profits. Selling goods requires a new method for analyzing data in sales and data mining is one way to analyze sales data created in an increasingly advanced business world. This study used a qualitative method and data collection techniques using literature reviews and observations with secondary data types. The results of this study are when processing data, there are many ways in data processing both in terms of data and in terms of processing. The compilation in subsequent processing becomes information that is easy to read and the data becomes the beginning of the information that we previously processed from several existing methods and data developed into information that is easy to read.

Detail Prosiding

Penelitian Induk: Data Mining dalam Pengelompokan Data Penjualan
Jenis Publikasi:Prosiding Internasional
Jurnal:IOP Conference Series: Materials Science and Engineering
Volume:-
Nomor:-
Tahun:2020
Halaman:1 - 6
P-ISSN:-
E-ISSN:-
Penerbit:IOP Publishing Ltd
Tanggal Terbit:-
URL: https://iopscience.iop.org/article/10.1088/1757-899X/879/1/012116/meta
DOI: https://doi.org/10.1088/1757-899X/879/1/012116