MODEL SISTEM BISNIS INTELIJEN DALAM PENGAMBILAN KEPUTUSAN PERSAINGAN TEKNOLOGI INFORMASI PERBANKAN

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Main Authors: Rico Rizal Budidarmo, Marimin Marimin, Rina Oktaviani, Noer Azam Achsani
Format: Article
Language:English
Published: Bogor Agricultural University 2011-08-01
Series:Jurnal Manajemen & Agribisnis
Online Access:http://journal.ipb.ac.id/index.php/jmagr/article/view/3314
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author Rico Rizal Budidarmo
Marimin Marimin
Rina Oktaviani
Noer Azam Achsani
author_facet Rico Rizal Budidarmo
Marimin Marimin
Rina Oktaviani
Noer Azam Achsani
author_sort Rico Rizal Budidarmo
collection DOAJ
description <!--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:PunctuationKerning /> <w:ValidateAgainstSchemas /> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables /> <w:SnapToGridInCell /> <w:WrapTextWithPunct /> <w:UseAsianBreakRules /> <w:DontGrowAutofit /> </w:Compatibility> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--><!--[if gte mso 10]> <mce:style><! /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} --> <!--[endif] --> <p class="Normal1" style="text-align: justify;"><em><span style="font-size: 10pt;" lang="EN-GB">The objective of this study is to provide a structured modelling of business intelligence system for helping decision makers in banking IT management to extract external competitive information, to anticipate business environment changes, and to make appropriate and effective business decisions. Using a system perspective where the focus is on the interaction between dependent and independent variables, this study shows how IT management could use neural network to help improve the strategy formulation process. Combined with a business intelligence roadmap, the system has an ability to process internal and external data as well as providing intelligence analysis to determine IT strategy to anticipate competition. Expert system and artificial neural network were used in this competition submodel to predict bank’s transaction cost strategies which gives some priority actions for management to decide the best IT cost strategy such as focus, differentiation, and overall cost leadership. </span></em></p>
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spelling doaj.art-4adb14db1a914cba8e564e037f42d8322022-12-22T03:56:17ZengBogor Agricultural UniversityJurnal Manajemen & Agribisnis1693-58532407-25242011-08-0171596910.17358/jma.7.1.59-693030MODEL SISTEM BISNIS INTELIJEN DALAM PENGAMBILAN KEPUTUSAN PERSAINGAN TEKNOLOGI INFORMASI PERBANKANRico Rizal BudidarmoMarimin MariminRina OktavianiNoer Azam Achsani<!--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:PunctuationKerning /> <w:ValidateAgainstSchemas /> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables /> <w:SnapToGridInCell /> <w:WrapTextWithPunct /> <w:UseAsianBreakRules /> <w:DontGrowAutofit /> </w:Compatibility> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--><!--[if gte mso 10]> <mce:style><! /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} --> <!--[endif] --> <p class="Normal1" style="text-align: justify;"><em><span style="font-size: 10pt;" lang="EN-GB">The objective of this study is to provide a structured modelling of business intelligence system for helping decision makers in banking IT management to extract external competitive information, to anticipate business environment changes, and to make appropriate and effective business decisions. Using a system perspective where the focus is on the interaction between dependent and independent variables, this study shows how IT management could use neural network to help improve the strategy formulation process. Combined with a business intelligence roadmap, the system has an ability to process internal and external data as well as providing intelligence analysis to determine IT strategy to anticipate competition. Expert system and artificial neural network were used in this competition submodel to predict bank’s transaction cost strategies which gives some priority actions for management to decide the best IT cost strategy such as focus, differentiation, and overall cost leadership. </span></em></p>http://journal.ipb.ac.id/index.php/jmagr/article/view/3314
spellingShingle Rico Rizal Budidarmo
Marimin Marimin
Rina Oktaviani
Noer Azam Achsani
MODEL SISTEM BISNIS INTELIJEN DALAM PENGAMBILAN KEPUTUSAN PERSAINGAN TEKNOLOGI INFORMASI PERBANKAN
Jurnal Manajemen & Agribisnis
title MODEL SISTEM BISNIS INTELIJEN DALAM PENGAMBILAN KEPUTUSAN PERSAINGAN TEKNOLOGI INFORMASI PERBANKAN
title_full MODEL SISTEM BISNIS INTELIJEN DALAM PENGAMBILAN KEPUTUSAN PERSAINGAN TEKNOLOGI INFORMASI PERBANKAN
title_fullStr MODEL SISTEM BISNIS INTELIJEN DALAM PENGAMBILAN KEPUTUSAN PERSAINGAN TEKNOLOGI INFORMASI PERBANKAN
title_full_unstemmed MODEL SISTEM BISNIS INTELIJEN DALAM PENGAMBILAN KEPUTUSAN PERSAINGAN TEKNOLOGI INFORMASI PERBANKAN
title_short MODEL SISTEM BISNIS INTELIJEN DALAM PENGAMBILAN KEPUTUSAN PERSAINGAN TEKNOLOGI INFORMASI PERBANKAN
title_sort model sistem bisnis intelijen dalam pengambilan keputusan persaingan teknologi informasi perbankan
url http://journal.ipb.ac.id/index.php/jmagr/article/view/3314
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AT mariminmarimin modelsistembisnisintelijendalampengambilankeputusanpersainganteknologiinformasiperbankan
AT rinaoktaviani modelsistembisnisintelijendalampengambilankeputusanpersainganteknologiinformasiperbankan
AT noerazamachsani modelsistembisnisintelijendalampengambilankeputusanpersainganteknologiinformasiperbankan