Penerapan Algoritma Rought Set Untuk Memprediksi Jumlah Permintaan Produk


  • Suci Utari * Mail Universitas Budi Darma, Medan, Indonesia
  • (*) Corresponding Author
Keywords: Algorithm; Rought Set; Predict; Number of Requests

Abstract

Demand is a number of goods purchased or requested at a certain price and time. Demand is related to consumer desires for goods and services to be fulfilled. And trends Consumer demand for goods and services is unlimited. In everyday terms, demand is defined in absolute terms, namely the amount of goods needed. This way of thinking is based on the idea that humans have needs. For this need, the individual has a demand for goods, the more residents of a country, the greater the public's demand for goods. Rapid Miner is open source software. Rapid Miner is a solution for analyzing data mining, text mining and clustering analysis. Rapid Miner uses a variety of descriptive and predictive techniques to provide users with insights so they can make the best decisions.

Downloads

Download data is not yet available.

References

T.D.T Utami1, D.Hartama2, A.P. Windarto3 and Solikhun4, “Analisis Tingkat Kepuasan Pelanggan Terhadap Penjualan Air Minum Isi Ulang Dengan Menggunakan Metode Rough Set,” vol 1, no. 1,2016

D, Nofriansyah and G. W. Nurcahyo, Algoritma Data Mining Dan Pengujiannya, 2017

E, Prasetyo, Data Mining Konsep dan Aplikasi Menggunakan Matlah, Yogyakaerta; CV. Andi Offset, 2012

Kusrini and E.T. Luthfi, Algoritma Data Mining, 2009

B. S. D. Oetomo, Perencanaan dan Pengembangan Sistem Informasi, Yogyakarta; CV. Andi Offset, 2002

A. Preantoko, Jago Microsoft Excel 2010, Jakarta; Kawan Pustaka, 2010

D.A.C.D.A. Baskoro, I, Ambarwati and I. W. S. Wicaksana, Belajar Data Mining Dengan Rapid Minet, 2013.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Penerapan Algoritma Rought Set Untuk Memprediksi Jumlah Permintaan Produk

Dimensions Badge
Article History
Published: 2022-02-28
Abstract View: 418 times
PDF Download: 765 times
Section
Articles