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Journal : ETIKONOMI

Performance of Depositor Fund: A Lesson from Indonesian Islamic Banking System Sayakhmad Olimov; Abdul Hamid; Muhammad Arief Mufraini
ETIKONOMI Vol 16, No 1 (2017)
Publisher : Faculty of Economic and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (550.894 KB) | DOI: 10.15408/etk.v16i1.4871

Abstract

The objective of study is to analyze the performance of Depositor Fund in the operation of Islamic bank as an alternative banking sector in financial market based on the profit and loss mode of financing in the case of Indonesia. The research methodology is quantitative analysis based on the Multiple Regression. In the study secondary data is used and were collected from Annual Report of Islamic Banks. The sample of study is the bank, which is selected from 36 samples of Islamic Commercial Banks relates to non-probability purposive sampling method as a statistical research techniques. The result of study showed that the performance of Depositor Fund in the operation of Islamic banks has negative proficiency and otherwise the Islamic banks have weaknesses capability to improve the high ratio of increasing productivity Depositor Fund based on the financial ratio factors, which are analyzed.DOI: 10.15408/etk.v16i1.4871
Islamic Personality Model as Psychometric Tool To Assess Creditworthiness of Micro Financing Hardiansyah Hardiansyah; Euis Amalia; Abdul Hamid
ETIKONOMI Vol 22, No 1 (2023)
Publisher : Faculty of Economic and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/etk.v22i1.30370

Abstract

This study aims to develop an Islamic personality model as a psychometric tool to assess creditworthiness as an alternative predictive character analysis for micro businesses. The method designed to formulate the proposed model coded in R Studio uses two approaches. First, we modify Moslem Religiosity Personality Inventory and then frame a structural model based on Partial Least Square. Subsequently, we use the random forest technique to see the model's accuracy. The result shows a valid and reliable model and performs with 89.47 % accuracy with an Area Under Curve -Receiver Operating Characteristic of 90.06 %. This model implies a solution to strengthen the assessment of the character of creditworthiness of a potential micro-business and helps Islamic Financial Institutions to assess prospective micro-business to determine credit risk and pricing.JEL Classification: B41, D81, D87, G21, P43How to Cite:Hardiansyah., Amalia, E., & Hamid, A. (2023). Islamic Personality Model as Pychometric Tool To Access Creditworthiness of Micro Financing. Etikonomi, 22(1), 233–246. https://doi.org/10.15408/etk.v22i2.30370.
Islamic Personality Model as Psychometric Tool To Assess Creditworthiness of Micro Financing Hardiansyah Hardiansyah; Euis Amalia; Abdul Hamid
ETIKONOMI Vol 22, No 1 (2023)
Publisher : Faculty of Economic and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/etk.v22i1.30370

Abstract

This study aims to develop an Islamic personality model as a psychometric tool to assess creditworthiness as an alternative predictive character analysis for micro businesses. The method designed to formulate the proposed model coded in R Studio uses two approaches. First, we modify Moslem Religiosity Personality Inventory and then frame a structural model based on Partial Least Square. Subsequently, we use the random forest technique to see the model's accuracy. The result shows a valid and reliable model and performs with 89.47 % accuracy with an Area Under Curve -Receiver Operating Characteristic of 90.06 %. This model implies a solution to strengthen the assessment of the character of creditworthiness of a potential micro-business and helps Islamic Financial Institutions to assess prospective micro-business to determine credit risk and pricing.JEL Classification: B41, D81, D87, G21, P43How to Cite:Hardiansyah., Amalia, E., & Hamid, A. (2023). Islamic Personality Model as Pychometric Tool To Access Creditworthiness of Micro Financing. Etikonomi, 22(1), 233–246. https://doi.org/10.15408/etk.v22i2.30370.