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All Journal Jurnal Kawistara : Jurnal Ilmiah Sosial dan Humaniora Petra International journal of Business Studies (IJBS) International Journal of Business, Economics, and Social Development International Journal of Quantitative Research and Modeling Jurnal Kawistara
Rofikoh Rokhim
Universitas Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Physics Social Sciences

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ANALISIS MODEL 4As PADA KESEDIAAN MENGGUNAKAN KREDIT USAHA RAKYAT Rofikoh Rokhim; Iin Mayasari
Jurnal Kawistara Vol 8, No 1 (2018)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (377.327 KB) | DOI: 10.22146/kawistara.32171

Abstract

The development of the business world is not only dominated by big business actors, but also medium, small, and even micro. These micro-scale business actors are given the opportunity to thrive. People Business Credit Program (Kredit Usaha Rakyat) is applied as an innovative product that is specifically for micro entrepreneurs. This research aims to study four approaches of availability, affordability, awareness, and acceptability to analyze the willingness of using microfinance credit. This research uses a quantitative approach and multiple regression for the data analysis. The long-term goal of this research is to provide input for higher decision makers, companies, and local governments to develop better welfare and partnership strategies. This research found that the willingness of using microfinance credit was influenced by availability, awareness, and willingness to accept, except of affordability variable.
Is There any Effect of ESG Performance in the Improvement of Financial Risk in ASEAN-5? Nadia Rahma; Rofikoh Rokhim
International Journal of Quantitative Research and Modeling Vol 3, No 2 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i2.274

Abstract

Public awareness in social and environmental sustainability became a challenge that turned into general assessments. ESG (Environmental, Social, Governance) performance became essential. Hence, the firm that does not apply ESG criteria in its business activities will face a consequence from investors impacting its performance, associated with financial risk. This study examines ESG performance within ESG score, ESG controversy, and BGD (Board Gender Diversity) on the total and systematic risk as a proxy for the financial risk of public companies listed on the stock exchange. This study uses a sample of 105 listed public firms from each stock exchange in ASEAN-5 (Philippines, Indonesia, Malaysia, Singapore, and Thailand) from 2016 to 2020 and applies panel regression analysis. The result suggests that ESG Score significantly influences total but not systematic risk in ASEAN-5. ESG controversy does not considerably affect total and systematic risk. BGD significantly influences total risk but not systematic risk. The findings will help investors and portfolio managers evaluate how ESG performance influences the firm's financial risk and make better investment decisions in ASEAN-5.
Indonesian Stock Price Prediction using Deep Learning during COVID-19 Financial Crisis Dian Angga Prasetyo; Rofikoh Rokhim
International Journal of Business, Economics, and Social Development Vol 3, No 2 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v3i2.273

Abstract

This research paper aims to use the deep learning model Long Short-Term Memory (LSTM) for the stock prediction model under the financial crisis of COVID-19. The financial impact of the COVID-19 has brought many of the world's indexes down. The impact of the financial crisis is even riskier for an emerging country such as Indonesia where foreign investors tend to take out their investments in emerging countries in financial crisis events. The application of deep learning in financial time series applications such as stock price prediction has been researched extensively. This study used the (Bidirectional LSTM) BiLSTM model which is a variation of the LSTM model to predict stock closing price. The stock prediction is applied to a selected company from the Indonesian stock market using historical prices. The model is then evaluated using metrics Mean Absolute Percentage Error (MAPE) and Symmetric Mean Absolute Percentage Error (SMAPE). A graphical comparison between the actual price and predicted price of the stock is charted to study the stock price movement. To study the impact during COVID-19 on the stock prices, an intervention analysis is conducted along with the Wilcoxon model. The stock price prediction model can forecast the price of stocks before and during the financial crisis with minimal error. The intervention analysis result showed that health sectors have a positive effect while other sectors such as transportation, finance, information technology, and entertainment have a negative effect during the financial crisis of COVID-19. Being able to analyze and study the stock price movement of stocks is beneficial to investors in understanding the impact of the financial crisis on some industries and the behavior of certain stocks or industries under the circumstances which can lead to alternate investment strategies and decision making.
Financial Risk Management in 2020's Recession: Evidence from ASEAN Countries Andreas Krisvian; Rofikoh Rokhim
Petra International Journal of Business Studies Vol. 5 No. 1 (2022): JUNE 2022
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (595.478 KB) | DOI: 10.9744/ijbs.5.1.56-73

Abstract

This study aims to determine the effect of bank financial risk consisting of liquidity risk, credit risk, and other factors on bank stability. This study took samples from 41 open conventional banks in five ASEAN countries that experienced crises, namely Indonesia, Malaysia, the Philippines, Singapore, and Thailand. The analysis methods used in this study are a combination of simultaneous and non-simultaneous GMM and VECM for the data period between Q-4 2015 to Q-3 2020. It covers the period before and during the crisis. This study found a reciprocal effect of the two financial risks on bank stability in the long term, an effect of the combined two risks ­on bank stability in the short term, and other factors that also affect each of the risks and bank stability. The results of this study can provide further knowledge about bank financial risk management that can be useful for reducing the potential for bank bankruptcy during a crisis.
The effect of COVID-19, Non-performing Loans, and Non-Interest Income on Bank Performance: Case Study in ASEAN-5's Banking Industry Christina Indah; Rofikoh Rokhim
Petra International Journal of Business Studies Vol. 6 No. 1 (2023): JUNE 2023
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.6.1.53-61

Abstract

The COVID-19 pandemic that has hit the entire world has also had a major impact on the banking industry at the global level. Therefore, this study aims to examine the effects of the COVID- 19 pandemic, non-performing loans, and non-interest income in ASEAN-5 countries from the first quarter of 2020 to the fourth quarter of 2021. The sample consists of 86 banks listed in the capital markets of Indonesia, Malaysia, Thailand, Singapore, and Philippines. The research method used is panel regression estimated using fixed effect model and random effect model. The results showed that COVID-19 had a significant positive effect on net income after taxes, while non-performing loans also had a significant and negative effect on banking performance. However, there is no significant role in non-interest income in banking in ASEAN-5.
ANALISIS MODEL 4As PADA KESEDIAAN MENGGUNAKAN KREDIT USAHA RAKYAT Rofikoh Rokhim; Iin Mayasari
Jurnal Kawistara Vol 8, No 1 (2018)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/kawistara.32171

Abstract

The development of the business world is not only dominated by big business actors, but also medium, small, and even micro. These micro-scale business actors are given the opportunity to thrive. People Business Credit Program (Kredit Usaha Rakyat) is applied as an innovative product that is specifically for micro entrepreneurs. This research aims to study four approaches of availability, affordability, awareness, and acceptability to analyze the willingness of using microfinance credit. This research uses a quantitative approach and multiple regression for the data analysis. The long-term goal of this research is to provide input for higher decision makers, companies, and local governments to develop better welfare and partnership strategies. This research found that the willingness of using microfinance credit was influenced by availability, awareness, and willingness to accept, except of affordability variable.
Co-Authors Andreas Krisvian Christina Indah Dian Angga Prasetyo Iin Mayasari Nadia Rahma