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Application on ANNs and Dynamic Modelling for SMEs / Jurnal Administrasi Bisnis Vol 8 (1) Maret 2012

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ABSTRAK :rnrnIndonesian SMEs Garment Manufacturers (ISGMs) has become the main contributor to Indonesia’s Gross Domestic Product for the last ten years. At the same time, the State Minister for Cooperatives and SMEs received many reports on the discontinued of the ISGMs. Currently, the ISGM managers have lack of management capabilities. This study focus on the use of artificial neural networks (ANNs) that is capable of interpreting the results of financial statements analysis (FSA). ANNs rules are encoded implicitly using an algorithm for automatic learning. Furthermore, the study also will investigate how to support the ISGMs by using pattern recognition in dynamic modelling (DM). The combination of ANNs and DM may support the ISGMs in (1) analysing the firm’s performance, (2) interpreting the results of FSA, and (3) providing a simulation on what will happen if something occurred in the business.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

651.05 PAW j C.1

Penerbit

Bandung : Center for Business Studies – CeBiS Jurusan Ilmu Administrasi Bisnis Fisip Unpar., 2012

Deskripsi Fisik

iv+105 hlm.; 17,5x25 cm

Bahasa

English

ISBN/ISSN

0216-1249

Klasifikasi

651.05 PAW j C.1

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Vol. 8 (1) Maret 2012

Subjek

SMEs
financial statement analysis
ANNs
dynamic modelling
business
garment

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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