DETERMINING FACTORS OF DIGITAL BANKING PROFITABILITY IN INDONESIA

The digital banking industry in Indonesia has undergone a significant transformation, especially after the COVID-19 pandemic accelerated the adoption of digital financial services. This study investigates the impact of Loan to Deposit Ratio (LDR), Non-Performing Loan (NPL), and Capital Adequacy R...

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Main Author: Raditya Rahagi, Muhammad
Format: Theses
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/86871
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:86871
spelling id-itb.:868712024-12-30T13:11:05ZDETERMINING FACTORS OF DIGITAL BANKING PROFITABILITY IN INDONESIA Raditya Rahagi, Muhammad Manajemen umum Indonesia Theses Digital Banking, Profitability, Loan to Deposit Ratio (LDR), NonPerforming Loan (NPL), Capital Adequacy Ratio (CAR), Structural Equation Modeling (SEM), SME Financing, and Income Diversification. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/86871 The digital banking industry in Indonesia has undergone a significant transformation, especially after the COVID-19 pandemic accelerated the adoption of digital financial services. This study investigates the impact of Loan to Deposit Ratio (LDR), Non-Performing Loan (NPL), and Capital Adequacy Ratio (CAR) on profitability, as measured by Return on Assets (ROA). Data analysis was conducted using Structural Equation Modeling - Partial Least Squares (SEM-PLS) based on financial data covering the period 2021 to Q3 2024. The results show that LDR has a positive and significant effect on ROA, emphasizing the role of an effective lending strategy in increasing profitability. In contrast, NPL and CAR show an insignificant effect on ROA, indicating that their effects can be moderated by risk management practices and capital efficiency. These results highlight the importance of improving lending policies, strengthening risk mitigation, and optimizing capital utilization to maintain sustainable profitability in digital banking. This study offers practical insights for digital banks to improve their financial performance by focusing on optimizing LDR, improving credit scoring systems, and managing liquidity effectively. Recommendations include prioritizing SME lending, leveraging AI-based risk assessment tools, and diversifying revenue streams. Furthermore, the study makes theoretical contributions to banking profitability models and offers strategic direction for policymakers and financial institutions navigating the evolving digital banking landscape. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Manajemen umum
spellingShingle Manajemen umum
Raditya Rahagi, Muhammad
DETERMINING FACTORS OF DIGITAL BANKING PROFITABILITY IN INDONESIA
description The digital banking industry in Indonesia has undergone a significant transformation, especially after the COVID-19 pandemic accelerated the adoption of digital financial services. This study investigates the impact of Loan to Deposit Ratio (LDR), Non-Performing Loan (NPL), and Capital Adequacy Ratio (CAR) on profitability, as measured by Return on Assets (ROA). Data analysis was conducted using Structural Equation Modeling - Partial Least Squares (SEM-PLS) based on financial data covering the period 2021 to Q3 2024. The results show that LDR has a positive and significant effect on ROA, emphasizing the role of an effective lending strategy in increasing profitability. In contrast, NPL and CAR show an insignificant effect on ROA, indicating that their effects can be moderated by risk management practices and capital efficiency. These results highlight the importance of improving lending policies, strengthening risk mitigation, and optimizing capital utilization to maintain sustainable profitability in digital banking. This study offers practical insights for digital banks to improve their financial performance by focusing on optimizing LDR, improving credit scoring systems, and managing liquidity effectively. Recommendations include prioritizing SME lending, leveraging AI-based risk assessment tools, and diversifying revenue streams. Furthermore, the study makes theoretical contributions to banking profitability models and offers strategic direction for policymakers and financial institutions navigating the evolving digital banking landscape.
format Theses
author Raditya Rahagi, Muhammad
author_facet Raditya Rahagi, Muhammad
author_sort Raditya Rahagi, Muhammad
title DETERMINING FACTORS OF DIGITAL BANKING PROFITABILITY IN INDONESIA
title_short DETERMINING FACTORS OF DIGITAL BANKING PROFITABILITY IN INDONESIA
title_full DETERMINING FACTORS OF DIGITAL BANKING PROFITABILITY IN INDONESIA
title_fullStr DETERMINING FACTORS OF DIGITAL BANKING PROFITABILITY IN INDONESIA
title_full_unstemmed DETERMINING FACTORS OF DIGITAL BANKING PROFITABILITY IN INDONESIA
title_sort determining factors of digital banking profitability in indonesia
url https://digilib.itb.ac.id/gdl/view/86871
_version_ 1822999706104496128