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Hubungan Suku Bunga dan Inflasi: Studi Empiris di Indonesia Suseno, Adinda Maharani; Agusalim, Lestari
Journal of Economic, Management and Entrepreneurship Vol. 2 No. 3 (2024)
Publisher : CV. Satria Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61502/jemes.v2i3.104

This study aims to analyze the effectiveness of the monetary policy transmission mechanism through the interest rate channel on inflation in Indonesia. The economic variables used in this study include the Bank Indonesia interest rate, deposit interest rate, and loan interest rate, with data spanning from January 2011 to December 2023. The method employed is the Error Correction Model (ECM) analysis, which allows the researcher to evaluate the relationship between these variables in both the short and long term. The results of the ECM analysis show that the Bank Indonesia interest rate, as one of the primary instruments of monetary policy, has a positive and statistically significant relationship with inflation in both the short and long term. In other words, each increase in the Bank Indonesia interest rate consistently raises inflation during both periods, highlighting the key role of the benchmark interest rate in the transmission of monetary policy in Indonesia. On the other hand, the variables of the deposit interest rate and loan interest rate exhibit different results. Both variables show a negative and statistically significant relationship with inflation in the short and long term. This means that an increase in the deposit and loan interest rates tends to reduce inflation, indicating that raising interest rates in these instruments can help mitigate inflationary pressures by curbing consumption, investment, and the amount of money circulating in the market. This study provides important insights into how the monetary policy transmission mechanism operates in Indonesia through the interest rate channel and highlights the differing impacts of the Bank Indonesia interest rate and other interest rates on inflation over various timeframes.

COVID-19, Economic Growth, and Income Inequality: Empirical Study in Indonesia Agusalim, Lestari; Setiawan, Yoga
Economics Development Analysis Journal Vol. 13 No. 4 (2024): Economics Development Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v13i4.3107

Income inequality remains a significant issue in developing countries like Indonesia, affecting societal well-being unevenly. Economic growth is often considered a key indicator of social welfare, but its benefits are not always distributed equitably. When economic growth coincides with high levels of income inequality, it suggests that only certain groups reap greater benefits while others are left behind. Therefore, it is essential to analyze whether there are disparities in the influence of economic growth on income inequality in Indonesia before and during the COVID-19 pandemic. Using a random effects model and 12 years of data (2010–2021), this analysis reveals that economic growth does not significantly affect income inequality in Indonesia, challenging the Kuznets hypothesis. Domestic investment (DIN) also shows no influence on income inequality. In contrast, the human development index (HDI) consistently has a significant negative impact on income inequality across both periods. Meanwhile, foreign direct investment (FDI) positively impacts income inequality. There is no difference in the influence of HDI and FDI on income inequality before and during COVID-19. These findings emphasize the importance of improving human resource quality as an effective strategy for addressing income inequality, particularly by enhancing access to education, healthcare services, and overall social welfare.

Exploring the Relationship between Religion, State, and Economy: A Global Study Lestari Agusalim
Bulletin of Indonesian Islamic Studies Vol. 4 No. 1 (2025): Bulletin of Indonesian Islamic Studies
Publisher : KURAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51214/biis.v4i1.1348

Religion plays a crucial role not only in shaping individual and group behavior but also in influencing governance structures and economic performance. Many countries incorporate religion into their constitutions, with some adopting official state religions as the foundation of governance, thereby creating theocratic states. This study aims to explore the relationship between religion and state governance, as well as the relationship between religion and economic performance, based on the classification of countries by religion. The data for this analysis is sourced from the World Bank and the Pew Research Center. It encompasses GDP per capita figures for 133 countries for the years 1990 and 2022, along with estimates of the global population by religion in 2050, derived through a cohort-component technique. A descriptive and comparative approach is utilized to explore the relationship between religion, governance, and the economic performance of these nations. This study finds that countries with an official state religion, supported by strong governance and prudent resource management, tend to achieve better economic outcomes, as evidenced by higher GDP per capita levels. Conversely, countries with weak governance or without clear religious support often experience economic stagnation. The findings recommend the importance of integrating religious values into inclusive and sustainable development policies.

TRANSFORMASI DIGITAL, KETIMPANGAN PENDAPATAN, DAN KRIMINALITAS DI INDONESIA: SEBUAH KAJIAN EMPIRIS Ajeng Lestari, Aprima Vista; Agusalim, Lestari
Bina Ekonomi Vol. 29 No. 1 (2025): Bina Ekonomi: Majalah Ilmiah Fakultas Ekonomi Universitas Katolik Parahyangan
Publisher : Center for Economic Studies Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/be.v29i1.8673.%p

The rapid development of digital technology has become a key force in transforming various aspects of life, such as accelerating information access, enhancing economic efficiency, and creating new opportunities. However, this transformation also brings challenges, particularly regarding the unequal distribution of income. Limited access to digital technology can exacerbate income inequality, where only a small portion of the population fully optimizes its benefits while others are left behind. Income inequality, as reflected in the Gini index, indicates an increasingly unequal income distribution and potentially elevates crime rates. This study analyzes the impact of income inequality on crime in the era of digital transformation using a random effect model and panel data from 34 provinces in Indonesia from 2010 to 2022. The findings show that income inequality has a significant positive effect on crime growth, meaning that the greater the income disparity, the higher the crime growth. The interaction between income inequality and internet usage shows a significant negative effect, indicating that a more equitable distribution of digital technology can reduce the impact of income inequality on crime. Additionally, the human development index has a significant positive effect, while the COVID-19 dummy variable has a significant negative effect on crime growth.

SmartPLS 4 for Smart Facilitators: Optimizing PLS-SEM Analysis in TKMP Program Agusalim, Lestari
GUYUB: Journal of Community Engagement Vol 6, No 2 (2025): Juni
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v6i2.11081

Community Service through PLS-SEM Training with SmartPLS 4 aims to enhance the analytical skills of facilitators in the Beginner Independent Workforce Program. This program is designed to strengthen the entrepreneurial capacity of beginner entrepreneurs in Indonesia, focusing on the development of micro and small businesses through comprehensive training in business planning, marketing, financial management, and product development. The training method used is participatory and practical, incorporating a real-project simulation with a focus on field data collected by participants, who are facilitators. This method encourages active engagement, allowing facilitators to directly apply their own data in PLS-SEM analysis to understand relationships between variables influencing business success. This method provides a solid foundation for making more data-driven, informed decisions. The participatory approach used in the training allows facilitators to be directly involved in the mentoring process, helping beginner entrepreneurs with relevant and effective solutions. The training results show a significant improvement in facilitators' analytical skills, with an average pre-test score of 53 and a post-test score of 89.5. The Wilcoxon Signed-Rank test confirms a significant difference, indicating the training's effectiveness in enhancing the quality and effectiveness of mentoring. Additionally, facilitators are able to provide better insights into market potential and guide beginner entrepreneurs in facing market challenges.

EXAMINING THE ECONOMIC IMPACT OF CORRUPTION: ARE DIFFERENCES BETWEEN THE CLEANEST AND MOST CORRUPT COUNTRIES BEFORE AND DURING COVID-19? Agusalim, Lestari; Alfiansyah, Muhammad Ilham; Prasetyoputra, Puguh; Noviantoro, Riko
EKUITAS (Jurnal Ekonomi dan Keuangan) Vol 9 No 1 (2025): March
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya(STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24034/j25485024.y2025.v9.i1.6929

The relevance of this study stems from the need to understand the impact of corruption on economic growth across various groups of countries, particularly before and during the COVID-19 pandemic. This study aims to analyze whether there are differences in the impact of corruption on economic growth between countries with the lowest and highest levels of corruption, both before and during the pandemic. Using panel data regression analysis with a fixed-effects model from 2012 to 2020 and covering 159 countries, the study supports the "sand the wheels" theory, which suggests that corruption hinders economic growth. No significant differences were found in the effect of corruption on economic growth between countries with high and low corruption perception indices, both before and during the COVID-19 pandemic. Additionally, per capita spending and the quality of regulation positively impact economic growth. On the other hand, foreign direct investment (FDI) and trade openness have varying effects on economic growth across different groups of countries and periods. To mitigate the negative impact of corruption, stringent anti-corruption policies create an environment conducive to sustainable economic development.

TRANSFORMASI DIGITAL, KETIMPANGAN PENDAPATAN, DAN KRIMINALITAS DI INDONESIA: SEBUAH KAJIAN EMPIRIS Ajeng Lestari, Aprima Vista; Agusalim, Lestari
Bina Ekonomi Vol. 29 No. 1 (2025): Bina Ekonomi: Majalah Ilmiah Fakultas Ekonomi Universitas Katolik Parahyangan
Publisher : Center for Economic Studies Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/be.v29i1.8673.%p

The rapid development of digital technology has become a key force in transforming various aspects of life, such as accelerating information access, enhancing economic efficiency, and creating new opportunities. However, this transformation also brings challenges, particularly regarding the unequal distribution of income. Limited access to digital technology can exacerbate income inequality, where only a small portion of the population fully optimizes its benefits while others are left behind. Income inequality, as reflected in the Gini index, indicates an increasingly unequal income distribution and potentially elevates crime rates. This study analyzes the impact of income inequality on crime in the era of digital transformation using a random effect model and panel data from 34 provinces in Indonesia from 2010 to 2022. The findings show that income inequality has a significant positive effect on crime growth, meaning that the greater the income disparity, the higher the crime growth. The interaction between income inequality and internet usage shows a significant negative effect, indicating that a more equitable distribution of digital technology can reduce the impact of income inequality on crime. Additionally, the human development index has a significant positive effect, while the COVID-19 dummy variable has a significant negative effect on crime growth.

Poverty And Criminality In The Digital Era: An Empirical Study In Indonesia Pebrianti, Herlina; Agusalim, Lestari; Lestari, Aprima Vista Ajeng
Jurnal Ekonomi STIEP Vol. 10 No. 2 (2025): Jurnal Ekonomi STIEP (JES)
Publisher : Lembaga Penelitian Dan Pengabdian Masyarakat (LPPM) IBE Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54526/jes.v10i2.457

The rapid and widespread development of digital technology has become a major driving force in transforming various aspects of life. This transformation has facilitated human activities across different sectors. However, the fast-paced technological advancements and increasingly accessible information also contribute to the rise of crime. Additionally, poverty can create an unstable environment, which increases the likelihood of individuals being involved in criminal activities. The limitations faced by individuals in poverty make them more susceptible to committing crimes, especially those driven by economic motives. Generally, crime rates tend to increase as the population of the poor rises. This study aims to analyze the impact of poverty on crime in the digital era. The analysis method used is panel data regression with a random effects model, based on panel data from 34 provinces in Indonesia over the period 2010-2022. The results indicate that poverty has a positive and significant effect on crime. However, the internet variable shows a negative and significant effect on crime. Variables such as population density, economic growth, and the Human Development Index (HDI) have a positive and significant effect on crime. Furthermore, variables like the provincial minimum wage and the COVID-19 dummy variable show a negative and significant effect on crime. On the other hand, the open unemployment rate does not have a significant effect on crime. Finally, the interaction between poverty and internet usage has a positive and significant effect on crime.

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