Al Muizzuddin Fazaalloh
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DAMPAK FINANCIAL TECHNOLOGY TERHADAP KETIMPANGAN PENDAPATAN DI INDONESIA PERIODE 2019-2022 Regita Amalia Ramadhani; Al Muizzuddin Fazaalloh
Contemporary Studies in Economic, Finance and Banking Vol. 3 No. 4 (2024)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/csefb.2024.03.4.21

Abstract

This study examines the impact of fintech on income inequality using macroeconomic indicators in 34 Indonesian provinces in 2019 - 2022. The independent variables used are fintech, economic growth, and inflation while the dependent variable is income inequality. This study uses a quantitative approach in the form of annual fintech lending statistical reports from 2019 to 2022. Secondary data sourced from OJK and BPS is then analyzed using panel data regression. It is concluded that fintech have a positive influence on income inequality. Economic growth has no effect on income inequality. While inflation has a negative effect on income inequality.
Can Foreign investment Accelerate Economic Growth in Cen-tral Java? Empirical Evidences from 15 Regencies and Cities Data Muhammad Raid Ardel; Al Muizzuddin Fazaalloh
Journal of Development Economic and Social Studies Vol. 4 No. 3 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jdess.2025.04.3.02

Abstract

This research aims to analyze the impact of foreign investment (PMA) on economic growth in Central Java Province. Comprehensive and sustainable development efforts in Central Java have brought economic progress to its people. However, these development achievements have not yet reached their maximum potential. In this case, the processing industry sector is one of the most influential basic sectors in Central Java from 2010 to 2022. This research uses secondary data from the Central Statistics Agency (BPS) and the Investment Coordinating Board (BKPM) for the 2010-2022 period. The analytical method used is Generalized Method of Moments (GMM) dynamic panel data regression analysis to evaluate the relationship between FDI and economic growth as measured by Gross Regional Domestic Product (GRDP). Control variables such as Number of labors, Government Consumption Expenditures, and Mediation Variables namely Average Years of Schooling are also included in the model to obtain more accurate results. The results show that FDI has a positive and significant influence on GRDP, supported by innovation, technology transfer and productivity. The interaction between FDI and education is also significant, indicating the importance of labor quality in maximizing the benefits of foreign investment. The average length of independent schooling also has a significant impact on GRDP. In addition, government consumption expenditure and labor play a positive role as supporting factors, encouraging inclusive and sustainable economic growth.
The Impact of Foreign Investment on Economic Growth in Regencies/ Municipalities of West Java Province Akhmalul Akbar, Muhammad Ilham; Al Muizzuddin Fazaalloh
Contemporary Studies in Economic, Finance and Banking Vol. 4 No. 2 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/csefb.2025.04.2.11

Abstract

The West Java Province region is an area that has the highest amount of foreign investment compared to other provinces on the island of Java. Foreign Direct Investment (FDI) is one of the most important factors aimed at boosting the economy of a country/region. Therefore, this research aims to analyze the impact of Foreign Direct Investment (FDI) on economic growth in West Java Province. By using secondary data in the form of data on the amount of foreign investment, government expenditure, labor and gross regional domestic product (GRDP) during the period 2010-2023 in West Java Province. Data analysis and hypothesis testing were carried out using Dynamic Panel Data Analysis (GMM) using the Stata-17 application. The results of this research partially show that the Foreign Investment and Government Expenditure variables have a positive and significant effect on Economic Growth, while the Labor variable has a significant negative effect on Economic Growth.
The Effect of Digitalization on Unemployment in Indonesia: Analysis of 33 Provinces for the Period 2013-2020 Adryan, Naufal Fairuz; Al Muizzuddin Fazaalloh
Journal of Development Economic and Social Studies Vol. 4 No. 4 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jdess.2025.04.4.22

Abstract

The high unemployment rate in Indonesia, averaging 5.79% during 2013-2020, remains a critical issue. This study examines the impact of digitalization on unemployment across 33 provinces, incorporating Regional Minimum Wage and Gross Regional Domestic Product (GRDP) as control variables. Using panel data analysis from the Central Bureau of Statistics, the findings reveal that digitalization and regional economic growth significantly reduce unemployment. A 1% increase in digitalization decreases unemployment by 0.55%, while a 1% rise in GRDP reduces it by 0.78%. However, minimum wage policies show no significant effect. The model explains 83.91% of the variation in unemployment rates. This research contributes to the literature by providing empirical evidence on the role of digitali zation in reducing unemployment at the regional level. The results highlight the importance of policies promoting digital transformation and strengthening regional economies to address unemployment effectively.
Analysis of the Effects of the Pre-Employment Card Program Trainings on Employment Statuses in Java Renata Intan Avicenna; Al Muizzuddin Fazaalloh
Journal of Development Economic and Social Studies Vol. 5 No. 1 (2026)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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Abstract

Java Island serves as Indonesia’s economic center and is home to the country’s largest population. At the same time, it records the highest unemployment rate at the national level. To address this issue, the government introduced the Pre-Employment Card Program, which aims to improve workforce skills through training and financial incentives. Although several previous studies have examined the effectiveness of the Pre-Employment Card Program, there remains limited information regarding the extent to which its training component improves employment opportunities in Java. Therefore, this study aims to analyze the impact of the Pre-Employment Card Program training on employment status in Java. This study employs a quantitative research method using data from SAKERNAS 2023. The total sample consists of 211,872 individuals. The data are analyzed using binary logistic regression to estimate the probability of individuals securing employment. The findings of this study reveal that the Pre-Employment Card Program training has a positive and statistically significant effect on employment status in Java Island.
The Impact of Macroeconomics Factors on Non-Performing Loans : A Case Study of KBMI IV Banks Id'risa, Nevia; Al Muizzuddin Fazaalloh
Contemporary Studies in Economic, Finance and Banking Vol. 5 No. 1 (2026)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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Abstract

This study is grounded in the urgency of maintaining banking system stability, particularly among KBMI IV banks, which play a dominant role in Indonesia’s financial system, amid macroeconomic fluctuations that may increase the Non-Performing Loan (NPL) ratio. The research aims to examine the effects of inflation, economic growth, exchange rates, interest rates, and the Loan to Deposit Ratio (LDR) on the NPLs of KBMI IV banks during the 2016–2023 period. This study employs a quantitative approach using the Error Correction Model (ECM) to analyze both short-term and long-term relationships based on secondary data derived from published banking financial reports and macroeconomic statistics. The findings indicate that, in the long run, exchange rates, interest rates, and LDR significantly affect NPLs, while inflation and economic growth do not; in the short run, only exchange rates and interest rates have a significant impact. These results highlight the importance of strengthening credit risk management, ensuring efficient fund allocation, and adopting adaptive policy responses to macroeconomic dynamics in order to maintain credit portfolio quality and financial stability.