Factors Analysis And Profit Achievement For Trading Company By Using Rough Set Method

Muhammad Ardiansyah Sembiring, Zulfi Azhar

Abstract


This research has been done to analysis the financial raport fortrading company and it is  intimately  related  to  some  factors  which  determine  the profit of company. The result of this reseach is showed about  New Knowledge and perform of the rule. In  discussion, by followed data mining process and using Rough Set method. Rough Set is to analyzed the performance of the result. This  reseach will be assist to the manager of company with draw the intactandobjective. Rough set method is also to difined  the rule of discovery process and started the formation about Decision System, Equivalence Class, Discernibility Matrix,  Discernibility Matrix Modulo D, Reduction and General Rules. Rough set method is efective model about the performing analysis in the company.

 

Keywords : Data Mining, General Rules, Profit,. Rough Set.


Full Text:

PDF

References


Rodriguez, A.P.R danRiverola, F.F. “Applying Rough Set for the Identification of Significant Variables in Photovoltaic Energy Production with Isolated System”, JurnalTeknologi, 2013, ISSN:0127-9696, pp 9–16.

Meythi dan Selvy Hartono, “Pengaruh Informasi Laba dan Arus Kas Terhadap Harga Saham”.JurnalAkuntansi, 2012, ISSN:2086-4159, pp. 57– 59.

Subekti Mujiasih.”Pemanfaatan Data Mining untuk Prakiraan Cuaca”.2012 Volume 12, pp.189 – 195.

Riani Lubis dan Angga Ginanjar Mabrur, ”Penerapan Data Mining untuk Memprediksi Kriteria Nasabah Kredit”, Jurnal Komputa, 2012. Volume 1, pp. 53 – 57.

Eko Prasetyo, “ Data Mining Konsep dan Aplikasi Menggunakan Matlab”, Ed.I, Yogyakarta : 2012, Andi, pp. 3–7.

Fajar Astuti Hermawati “Data Mining”, Edisi I, Yogyakarta : 2009, Andi, pp.2-3.

Obadi Gamila, ”A Tolerance Rough Set Based Overlapping Clustering for the DBLP Data”.Computer Society IEE, 2010, pp.57 – 59.

Gogoi Prasanta,” Efficient Rule Set Generation Using Rough Set Theory for Classification of High Dimensional Data”, IJSSAN, ISSN: 2248–9738 Volume 1, 2011, Hlm.13 – 60.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 International Journal of artificial intelligence research

Copyright of International Journal Artificial Intelligence Research

ISSN [online] 2579-7298

Published by : 

Departement Teknik Informatika
STMIK Dharma Wacana
Jl. Kenanga No.03 Mulyojati 16C Metro Barat Kota Metro Lampung
Telp. 0725-7850671
Faks. 0725-7850671
Email: internationaljournalair@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

International Journal of artificial intelligence research