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Building Value Co-creation, Brand Loyalty, and Brand Trust Through Social Media Marketing Al Hazmi, Muhammad Zaky Afkar; Muhammad, Yusuf; Pangestuti, Irene Rini Demi
Research Horizon Vol. 4 No. 6 (2024): Research Horizon - December 2024 (Thematic Issue)
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.4.6.2024.434

Abstract

This study aims to analyse the influence of social media marketing on brand loyalty, brand trust, and value co-creation in the business of fresh fish stock providers based in Semarang City and Semarang Regency. Additionally, this study examines the level of public interest in fish consumption, which serves as a form of support for the government's initiative to promote fish consumption. This study uses the AMOS Structural Equation Modelling (SEM) analysis method. This study involved 383 respondents. The results of this study show that social media marketing has a significant influence on brand loyalty, brand trust, and value co-creation. Additionally, brand trust and brand loyalty have also been proven to have a significant influence on value co-creation. The findings of this research will offer fresh perspectives on the significance of social media marketing in fostering trust, loyalty, and customer engagement in value co-creation, particularly in the fresh fish sales industry. This knowledge can enhance marketing strategies and bolster government initiatives aimed at boosting fish consumption among Indonesians.
Credit Default Prediction Model Using Machine Learning for Credit Monitoring: Empirical Study on Banking in Indonesia Andri Ismatullah Gani; Irene Rini Demi Pangestuti
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 3 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i3.4214

Abstract

Credit default is the failure of a borrower to make required principal or interest repayments on a debt. In credit risk management, it is important for banks to anticipate credit defaults, whether in the credit underwriting process or in the area of credit monitoring. In this study we focus on the use of machine learning in the area of credit monitoring to predict default of working capital credit and investment credit based on non-demographic debtors’ data, where we then test model’s accuracy and level of precision that can be achieved, and identify variables that have high importance on the predictive model. Finally we evaluate the model in terms of their explainability using eXplainable Artificial Intelligence (XAI) tools to identify the relationship of the variables with credit default. We use monthly snapshot of sampled credit accounts data from 105 banks in Indonesia for the period of August 2018 to December 2019 to build a classification machine learning model, and finally evaluate the model in terms of their explainability using SHapley Additive exPlanations (SHAP) as one of the algorithms for eXplainable Artificial Intelligence (XAI) tool. The machine learning model we built can achieve 98.85% accuracy overall and 75% precision in predicting true positive or correctly predicting credit is defaulted. And by using SHAP, we can understand how each variables contribute to the model’s prediction result and thus its relationship with credit default, where most are consistent with previous researches.
Green Credit, Corporate Social Responsibility and Company Value: Evidence From Indonesia and China Banks Soares, Ersilda Dos Santos Mota; Pangestuti, Irene Rini Demi
AFRE (Accounting and Financial Review) Vol. 7 No. 3 (2024)
Publisher : Postgraduate Program Merdeka University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/afr.v7i3.13019

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The objective of this study is to investigate the influence of green credit and Corporate Social Responsibility (CSR) on company value, with profitability as a mediating factor, in banks in Indonesia and China from 2019 to 2022. This research uses a purposive sampling method in selecting the sample. The objects in this research are banks in Indonesia and China. Data analysis in this research uses multiple linear regression analysis. The findings reveal that green credit significantly affects profitability, whereas CSR does not. Neither green credit nor CSR directly impacts company value, but profitability as a mediating variable significantly influences company value. Indirectly, green credit through profitability significantly affects company value, while CSR does not. This research provides interesting contributions to stakeholders, related to green credit and sustainability programs. Therefore, this study can offer new insights. Limitations include the study's focus on a limited sample of banks that offer green credit and CSR, the restriction to four years of data without accounting for external factors like the COVID-19 pandemic, and the use of a single analytical tool. JEL Classification: G32; Q56; M14; L25 DOI: https://doi.org/10.26905/afr.v7i3.13019
Liquidity vs. Sustainability Dilemma: Do Loan Ratios Hinder Social Transparency in Banks of Emerging Asia-Pacific? Borolla, Johanis Darwin; Muharam, Harjum; Pangestuti, Irene Rini Demi
Journal of Applied Accounting and Taxation Vol. 10 No. 1 (2025): Journal of Applied Accounting and Taxation (JAAT)
Publisher : Pusat P2M Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaat.v10i1.9272

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The aim of this study is to analyze the fundamental dilemma in banking concerning the trade-off between liquidity management and sustainability commitments, with a focus on the banking sector in emerging Asia-Pacific economies. The findings reveal that banks with higher Total Loans to Total Deposits (TLTD) ratios tend to exhibit stronger Social Disclosure Scores (SDS), driven by stricter regulatory oversight. In contrast, banks with higher Total Loans to Total Assets (TLTA) ratios demonstrate weaker sustainability disclosures, prioritizing financial performance over ESG commitments. This study highlights the crucial role of regulatory pressure in encouraging banks to improve ESG transparency, even when short-term financial gains are prioritized. The findings underscore the need for policymakers to develop regulatory frameworks that not only enforce sustainability disclosures for high-risk banks but also incentivize asset-heavy institutions to integrate ESG principles into their core financial strategies, ensuring a balanced approach to sustainability and financial stability.
ANALYSIS OF UNCERTAINTY DURING THE COVID-19 PANDEMIC ON NIM, ROA, NPL, AND BOPO AT RURAL BANKS Siwa Adnyana, Ida Bagus Putu; Pangestuti, Irene Rini Demi
Jurnal Apresiasi Ekonomi Vol 13, No 2 (2025)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v13i2.857

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This study analyzes the effect of uncertainty due to the Covid-19 pandemic on the financial performance of conventional BPRs in Bali during the period 2016-2023. This research is important because it can provide insight into how strong BPR banks are in facing the crisis. Analysis of NIM, ROA, NPL, and BOPO, can understand the bank's ability to maintain profitability and operational efficiency amid economic uncertainty. Uncertainty is measured through the standard deviation of assets, funding, and loan growth as independent variables, while financial performance is evaluated using the NIM, ROA, NPL, and BOPO ratios as dependent variables. The research method used is quantitative with multiple regression method, the research sample was 66 BPR in Bali and the data analysis technique used multiple regression with SPSS 27.00 software with four equations. The results of the study show that H1, H2, H3, H4, H10, and H11 do not meet the hypothesis, while H5, H6, H7, H8, H9, and H12 meet the hypothesis. In hypotheses H1, H2, H3 and H4, the independent variable, namely the standard deviation of assets, has a significant positive effect on the dependent variables NIM and ROA, and a negative effect on the dependent variables NPL and BOPO. Furthermore, in H10 and H11, the independent variable does not affect the dependent variable, which means that the standard deviation of loan growth does not affect ROA and NPL. In H5, H6, H7, H8, H9, and H12, the hypothesis shows that the standard deviation of funding has a significant negative effect on NIM and ROA, and a significant positive effect on NPL and BOPO. In addition, the standard deviation of loan growth has a significant negative effect on NIM and a significant positive effect on BOPO. Keywords: Uncertainty, Standard Deviation of Assets, Standard Deviation of Funding, Standard Deviation of Loan Growth, NIM, ROA, NPL, BOPO, BPR
Optimizing Financial Inclusion through Mobile Banking and Digital Wallet during COVID-19 Pandemic Makusara, Kumaralalita; Widiastuti, Cahyaning Ajeng; Pangestuti, Irene Rini Demi; Mawardi, Wisnu
Economic and Business Horizon Vol. 4 No. 2 (2025): May
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/ebh.4.2.2025.686

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The COVID-19 pandemic has greatly affected multiple sectors in Indonesia, particularly the financial sector. Amidst economic uncertainty, financial inclusion is crucial to support economic recovery and community welfare. Mobile banking and digital wallets have emerged as effective solutions in improving financial inclusion, facilitating wider access to financial services for people, especially in remote areas. This research uses the journal review method, by analyzing various research sources related to the role of mobile banking and digital wallets in improving financial inclusion in Indonesia during the pandemic. The findings show that digital financial technology has accelerated the process of financial inclusion, with positive impacts on economic sustainability. By enabling easier and safer access to finance, mobile banking and digital wallets support the achievement of sustainability goals through reducing social and economic inequality. This research contributes to a better understanding of the potential of digital technology in supporting sustainable financial inclusion, and its implications for public policy in Indonesia.
Measuring Fintech and Digital Banking Scalability to Enhance Financial Inclusion in Indonesia Pradhipta, Rama Dwika; Wafdayanti, Haasya; Mawardi, Wisnu; Pangestuti, Irene Rini Demi
Economic and Business Horizon Vol. 4 No. 3 (2025): September
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/ebh.4.3.2025.688

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This study explores the scalability of fintech and digital banking in Indonesia as a catalyst for financial inclusion, the context centers on Indonesia’s unique challenges, including its archipelagic geography, fragmented regulatory frameworks, and a significant unbanked population (26% of adults), which hinder traditional financial services. The role of this study is to provide evidence-based insights for policymakers, financial institutions, and fintech developers to optimize scalable solutions. By conducting a systematic literature review of peer-reviewed articles, industry reports, and case studies (2015–2025), this research identifies critical drivers and barriers to scalability. Thematic analysis and comparative frameworks were employed to evaluate Indonesia’s progress against global benchmarks. Results reveal that technological infrastructure, regulatory adaptability, and strategic partnerships are pivotal to scalability. However, challenges persist, including low digital literacy and regulatory fragmentation. Data also highlight successful models, such as mobile banking platforms leveraging agent networks to reach remote areas. The article discusses these findings through the lens of collaborative governance, emphasizing the need for multi-stakeholder cooperation. Case studies of Indonesia’s leading fintech firms illustrate how localized innovations such as microloan algorithms and offline transaction modes address inclusion barriers. Key findings suggest that scalable fintech and digital banking can significantly enhance financial inclusion if supported by inclusive policies, infrastructure investment, and public private partnerships. Recommendations include harmonizing regulations, expanding digital education, and incentivizing tech innovation for rural markets. This study contributes actionable strategies to align Indonesia’s digital finance growth with sustainable development goal.
THE EFFECT OF CORE CAPITAL, QUALITY OF GOVERNANCE IMPLEMENTATION ON THE PROFITABILITY OF RURAL BANKS IN KALIMANTAN WITH CREDIT RISK AS A MEDIATION VARIABLE Budi Rahman; Irene Rini Demi Pangestuti
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 4 No. 4 (2024): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v4i4.2399

Abstract

Rural banks (BPR) have an important role in supporting financial inclusion, especially in remote areas. This study examines the effect of core capital and governance quality on profitability with credit risk as a mediating variable at BPRs in Kalimantan during the period 2016–2023. Using quantitative methods with secondary data, the research sample consisted of 51 BPRs with 326 observations after outlier adjustment. The analysis was conducted with SPSS 26.0 using path analysis two-fold regression. The results of the study show that the first regression shows that core capital has a significant negative effect on credit risk (sig. 0.002; coefficient -0.172), the quality of governance implementation as measured by the decrease in the value of the governance composite has a significant positive effect on increasing credit risk (sig. 0.086; coefficient 0.094). The second regression shows that core capital has a significant positive effect on profitability (ROA) (sig. 0.023; coefficient 0.112), while the quality of governance implementation as indicated by the decrease in the value of the governance composite is not significant (sig. 0.338; coefficient 0.115). Credit risk was found to have a significant negative effect on profitability (sig. 0.000; coefficient -0.368). The Sobel test shows that credit risk is able to mediate the relationship between core capital and profitability (sig. 0.00380 < 0.10; Coef 0.063), and credit risk can also mediate the relationship between the quality of governance implementation and profitability (sig. 0.0933 < 0.10; Coef -0.034).
THE EFFECT OF INCOME DIVERSIFICATION STRATEGY ON CREDIT RISK AND MARKET RISK IN COMMERCIAL BANKS IN INDONESIA DURING THE COVID-19 PANDEMIC Otto Fitriandy; Irene Rini Demi Pangestuti
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 3 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i3.3021

Abstract

The phenomenon of economic instability due to the COVID-19 pandemic has encouraged banks to improve income diversification strategies in order to reduce risk exposure and maintain sustainable financial performance. This study aims to analyze the effect of income diversification on credit risk and market risk with the role of control variables Size, Tangible Asset, Return on Asset and Liquidity. The study was conducted at Conventional Commercial Banks in Indonesia during the period 2018-2023. This research method uses a quantitative approach with secondary data. The population in this study is all Conventional Commercial Banks in Indonesia as many as 105 banks, then the sample determination uses purposive sampling technique and produces 101 banks as samples. The observation period for six years produced a total of 606 observation data. The analysis tool uses SPSS 26.0 software through multiple regression tests. The first regression results show that income diversification has a significant negative effect on credit risk (sig. 0.000; t-stat -3.170). Meanwhile, the size control variable does not affect credit risk (sig. 0.353; t-stat 0.930), Tangible does not affect credit risk (sig. 0.261; t-stat -1.125). ROA has a positive effect on credit risk (sig. 0.000; t-stat 6.399). Liquidity has a positive effect on credit risk (sig. 0.000; t-stat 6.355). The R² value of 0.204 indicates that 20.4% of the variation in credit risk can be explained by income diversification, and the control variables Size, Tangible Asset, Return on Asset and Liquidity. In the second regression, income diversification has a significant negative effect on market risk (sig. 0.049; t-stat -1.972). Meanwhile, the control variable size has a positive effect on market risk (sig. 0.002; t-stat 3.049), Tangible has no effect on market risk (sig. 0.493; t-stat -0.686). ROA has a negative effect on market risk (sig. 0.002; t-stat 3.184). Liquidity has a positive effect on market risk (sig. 0.000; t-stat 21.080). The R² value of 0.583 indicates that 58.3% of the variation in market risk can be explained by income diversification, and the control variables Size, Tangible Asset, Return on Asset and Liquidity.
The Role of Financial Technology (FinTech) in Enhancing MSMEs’ Access to Finance: A Study from the Perspective of Financial Management Safitri, Maria; Muharam, Harjum; Pangestuti, Irene Rini Demi
Jurnal Ilmiah Global Education Vol. 6 No. 3 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i3.4069

Abstract

The expansion of financial technology (FinTech) has changed the way that MSMEs, and the potential entrepreneurs behind them, can access capital, especially in emerging markets, where traditional financial services availability is constrained. Notwithstanding the growing accessibility of digital financial services, a large number of MSMEs still struggle to engage with these technologies; their barriers including low levels of financial literacy, poor digital preparation, and internal decision-making obstacles. This study tries to explore the effects of FinTech adoption on MSMEs access to finance, with focus on the mediating effect of financial literacy and the moderating role of financial behavior and trust. A quantitative causal-explanatory research design was employed using primary data that were gathered using structured questionnaires from Indonesian MSME owners transacting in FinTech platforms. The relationships between the main constructs were investigated through Structural Equation Modeling (SEM). The findings indicate that financial literacy and internal financial management fully mediate the effect of FinTech on financing outcomes, and digital trust and risk perception moderate the relationship. The results provided are consistent with the utilization of the COR Theory in understanding digital financial behavior among MSMEs reiterating that technology itself is not enough if cognitive and behavioral resources are not enabled. This study provides practical implications for policymakers and FinTech developers who seek to shape inclusive financial systems and also demonstrates the need to incorporate financial education in digital innovations' strategy to build greater economic resiliency of MSMEs
Co-Authors Aditya Tri Hardiyawan, Aditya Tri Advento Johanes Pangomo Ajeng Nurmalasari Al Hazmi, Muhammad Zaky Afkar Amie Kusumawardhani, Amie Andri Ismatullah Gani Ardian, Rico Arfinda Piradipta Suharno, Arfinda Piradipta Ariyani, Hilma Faza Augusty Tae Ferdinand Basthiani, Ikrimah Anggita Budi Rahman Clara Dewi Novitasari, Clara Crissy Norris Sianturi, Crissy Norris Cynthia Rahma Fatiha, Cynthia Rahma Cyrena, Maudhita Desi Natalia Pardede, Desi Natalia Dinar Nur Septiyanto Ega Arminta Ega Arminta Fachry Abda El Rahman Fauziah Putri Gantika, Fauziah Febrina Wahyu Widiasari, Febrina Gloria Anindya Perwitaningtyas, Gloria Anindya Hariyanti, Nunik Harjum Muharam Hersugondo Hersugondo Idris Idris Imam Indra Permana Indana, Dina Intan Puspitasari Intan Puspitasari Isdiputra, Feisal Johanis Darwin Borolla Kinasih, Raras Sekar Lhadualiese Sidauruk, Lhadualiese Luthfiati, Fitria Makusara, Kumaralalita Marpaung, Clier Romi Marpaung, Netti Natarida Melati Lindasari, Melati Meryta Wityasari, Meryta Meygawan Nurseto Aji Michael Sandra Pramana, Michael Sandra Michael Sitorus, Michael Mochammad Chabachib Mudzakir, Fahmi Utomo Muhammad, Yusuf Muninggar, Aliya Inggita Prameswari Mussadun Mussadun, Mussadun Nashirah, Azizah Fatin Nida ‘Ul Chasanah, Fatihah Nugrahandini, Yuliastanti Nurul Hakim, Nurul Oktaviani oktaviani Otto Fitriandy Pradhipta, Rama Dwika Prianka Ratri Nastiti, Prianka Ratri Priono, Andri Puji Irawan, Puji Putra, Aditya Mahendra Putri, Aisya Sylvana Rahmadani, Salsabila Gading Ramadhan, Iqbal Ryan Retno Susanti Risky Diba Avrita, Risky Diba Robinson robinson Robiyanto Safitri, Maria Sarah Dewi Fathinna, Sarah Dewi Septi Rianasari, Septi Simanjuntak, Tagora Bangkit Pahala Siwa Adnyana, Ida Bagus Putu Soares, Ersilda Dos Santos Mota Soegiono Soegiono Sugeng Wahyudi, Sugeng Suryanegara, Arya Susilo Toto Raharjo Swaskarina, Neisya Hafizha Triana, Tika Tsabit, Ilhaam Anggra Za’im Wafdayanti, Haasya Wakhidah Kurniawati Widiastuti, Cahyaning Ajeng Wisesa, Baskara Bayu Wisnu Mawardi Yesica Yulian Adicondro, Yesica Yulian Yesy Hartina Alusia, Yesy Hartina Yudha, Aji Yudistira, Eka Maisa Yuwana Sari, Rida