GOING CONCERN ESTIMATION BANKING INDUSTRY IN INDONESIA WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM APPROACH (USING IPSA 30.2)

Akhirson, Armaini GOING CONCERN ESTIMATION BANKING INDUSTRY IN INDONESIA WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM APPROACH (USING IPSA 30.2). Skripsi Program Studi Manajemen. (Submitted)

[img]
Preview
Text
GOING CONCERN ESTIMATION BANKING INDUSTRY IN INDONESIA WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM APPROACH (USING IPSA 30.2) _UG.pdf - Submitted Version

Download (304Kb) | Preview

Abstract

The growing activities of the economy the way it is today. The users of the financial statements, in which case it is investors sometimes cannot understand the meaning contained in the financial statements the company made. Investors will be easier to read and more trust financial statements audited . This research aims to observe granting the assumption of going concern (variable output) so it could be assessed by observe the five variables that are used by the auditor in granting the assumption of going concern an enterprise that is CAR, LDR, ROA, net income growth and the Z-Score (input variables).

Item Type: Article
Uncontrolled Keywords: Banking Industry; Indonesia; Neuro Fuzzy
Subjects: A General Works > AI Indexes (General)
Divisions: Fakultas Ekonomi > Program Studi Manajemen
Depositing User: Mr Reza Chandra
Date Deposited: 01 Mar 2014 09:06
Last Modified: 01 Mar 2014 09:06
URI: http://repository.gunadarma.ac.id/id/eprint/1365

Actions (login required)

View Item View Item