Factors Analysis And Profit Achievement For Trading Company By Using Rough Set Method
(1) * Muhammad Ardiansyah Sembiring Mail (STMIK Royal Kisaran, Indonesia)
(2) Zulfi Azhar Mail (STMIK Royal Kisaran, Indonesia)
*corresponding author

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.


   

DOI

https://doi.org/10.29099/ijair.v1i1.15 		      

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References


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

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

Subekti Mujiasih.â€Pemanfaatan Data Mining untuk Prakiraan Cuacaâ€.2012 Volume 12, pp.189 – 195.

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

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

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

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

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




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