Bank customer classification in Indonesia: logistic regression vs artificial neural networks.
This paper aims to identify factors distinguish Islamic and conventional bank customers in Indonesia. It tries to relate between bank customers’ religiosity, assessment upon certain factors such as bank performance, bank advertisement and main reasons of using banking services towards their decision...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2013
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| Online Access: | http://irep.iium.edu.my/30751/ http://irep.iium.edu.my/30751/1/Abduh_Poster_No_1.pptx |
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iium-30751 |
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eprints |
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iium-307512013-09-05T07:18:17Z http://irep.iium.edu.my/30751/ Bank customer classification in Indonesia: logistic regression vs artificial neural networks. Abduh, Muhamad Dahari, Zainurin Omar, Mohd. Azmi HG1501 Banking This paper aims to identify factors distinguish Islamic and conventional bank customers in Indonesia. It tries to relate between bank customers’ religiosity, assessment upon certain factors such as bank performance, bank advertisement and main reasons of using banking services towards their decision on which bank they had joined. Logistic regression and neural networks models are used to answer the research questions based on 520 customers reside in Jakarta. Data collection is done through a direct survey using self administered questionnaire. The results from logistic regression and neural networks models demonstrate that shariah compliant issues, customers’ awareness on the fatwa announced by National Ulama Council on the impermissibility of bank interest, safety of fund as main reason of using banking services and customers’ perception on bank advertisement are the significant factors which classify the bank customers in Indonesia. Nonetheless, neural network classifies better than logistic regression. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/30751/1/Abduh_Poster_No_1.pptx Abduh, Muhamad and Dahari, Zainurin and Omar, Mohd. Azmi (2013) Bank customer classification in Indonesia: logistic regression vs artificial neural networks. In: IIUM Research, Invention and Innovation Exhibition 2013, 19 - 20 February 2013, Cultural Activity Centre (CAC) and KAED Gallery, IIUM. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
HG1501 Banking |
| spellingShingle |
HG1501 Banking Abduh, Muhamad Dahari, Zainurin Omar, Mohd. Azmi Bank customer classification in Indonesia: logistic regression vs artificial neural networks. |
| description |
This paper aims to identify factors distinguish Islamic and conventional bank customers in Indonesia. It tries to relate between bank customers’ religiosity, assessment upon certain factors such as bank performance, bank advertisement and main reasons of using banking services towards their decision on which bank they had joined. Logistic regression and neural networks models are used to answer the research questions based on 520 customers reside in Jakarta. Data collection is done through a direct survey using self administered questionnaire. The results from logistic regression and neural networks models demonstrate that shariah compliant issues, customers’ awareness on the fatwa announced by National Ulama Council on the impermissibility of bank interest, safety of fund as main reason of using banking services and customers’ perception on bank advertisement are the significant factors which classify the bank customers in Indonesia. Nonetheless, neural network classifies better than logistic regression.
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| format |
Conference or Workshop Item |
| author |
Abduh, Muhamad Dahari, Zainurin Omar, Mohd. Azmi |
| author_facet |
Abduh, Muhamad Dahari, Zainurin Omar, Mohd. Azmi |
| author_sort |
Abduh, Muhamad |
| title |
Bank customer classification in Indonesia: logistic regression vs artificial neural networks. |
| title_short |
Bank customer classification in Indonesia: logistic regression vs artificial neural networks. |
| title_full |
Bank customer classification in Indonesia: logistic regression vs artificial neural networks. |
| title_fullStr |
Bank customer classification in Indonesia: logistic regression vs artificial neural networks. |
| title_full_unstemmed |
Bank customer classification in Indonesia: logistic regression vs artificial neural networks. |
| title_sort |
bank customer classification in indonesia: logistic regression vs artificial neural networks. |
| publishDate |
2013 |
| url |
http://irep.iium.edu.my/30751/ http://irep.iium.edu.my/30751/1/Abduh_Poster_No_1.pptx |
| first_indexed |
2023-09-18T20:44:59Z |
| last_indexed |
2023-09-18T20:44:59Z |
| _version_ |
1777409614458912768 |