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Marine Resources to Indonesia's Food Security Potential Budi Rusdianto; Nuri Rahayu Ningsih; Rusiadi; Diwayana Putri Nasution; Suhendi; Andria Zulfa; Lia Nazliana Nasution; Bakhtiar Efendi
The International Conference on Education, Social Sciences and Technology (ICESST) Vol. 2 No. 2 (2023): The International Conference on Education, Social Sciences and Technology
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/icesst.v2i2.334

Abstract

The huge economic potential of the ocean in Indonesia and the importance of maintaining the sustainability of marine resource exploitation to support sustainable economic growth and food security. As one of the potentials in the marine and fisheries sector, the estimated potential of fish resources from marine capture fisheries and aquaculture certainly has the potential to fulfill the food of the Indonesian people with high protein nutritional value. The purpose of this research is to see the potential of the marine sector for food security in Indonesia. This type of research is quantitative descriptive research with time series data from 2017 to 2022 obtained from the Indonesian Central Bureau of Statistics. This research is located in Indonesia. The results showed that the water sector, namely fisheries, has high potential to support food security in Indonesia. In addition to the nutritional content contained in fish that is easily digested by the body, the selling price of fish also varies so that it is affordable at all economic levels of Indonesian households.
ANALYSIS OF THE INFLUENCE OF MONEY SUPPLY, INTEREST RATES, AND EXCHANGE RATES ON INFLATION IN INDONESIA Christine Adeina Sihotang; Bakhtiar Efendi; Dewi Mahrani Rangkuty
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 8, No 2 (2024): IJEBAR, VOL. 08 ISSUE 02, JUNE 2024
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v8i2.13443

Abstract

There are many factors that can affect inflation, both internal and external. The rate of inflation is also influenced by other factors such as increased economic activity that drives an increase in aggregate demand not matched by an increase in aggregate supply due to structural economic constraints. This research aims to determine the influence of money supply, interest rates, and exchange rates on inflation in Indonesia, both partially and simultaneously. This is a quantitative study using secondary (time series) data obtained from the Central Statistics Agency (BPS), Bank Indonesia, and the Ministry of Finance over a period of 31 years, from 1993 to 2023. The data analysis technique used is the Multiple Linear Regression Equation. The results of this study indicate that partially, money supply and interest rates have a positive and significant effect on inflation in Indonesia, while the exchange rate does not have a significant effect on inflation in Indonesia. Simultaneously, it is found that money supply, interest rates, and exchange rates together influence inflation in Indonesia.
Analisis Transmisi Kebijakan Moneter Dalam Mengendalikan Stabilitas Harga Dan Output Agregat Di Indonesia Fatma Hairani; Bakhtiar Efendi
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 4 (2024): Journal of Economic, Bussines and Accounting (COSTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i4.10061

Abstract

kebijakan moneter menjadi langkah streategi untuk menegndalikan stabilitas ekonomi dengan beberapa intrument kebijakan moneter guna meningkatkan pertumbuhan ekonomi. Tujuan dengan adanya penelitian ini dapat mengetahui pengaruh inflasi terhadap pertumbuhan ekonomi serta variabel lainnya seperti kurs, jumlah uang beredar, ekspor, investasi dan suku bunga. Dengan metode analisis two stage least square (TSLS) yang menghasilkan bahwa inflasi berpengaruh positif terhadap pertumbuhan ekonomi, kurs dan suku bunga menunjukkan hasil yang negatif terhadap inflasi.
Ketidaksiapan Pasar Tenaga Kerja dalam Menghadapi Era Ekonomi Digital di Indonesia Kardina Siregar; Lia Nazliana Nasution; Bakhtiar Efendi
MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Vol. 3 No. 1 (2025): Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Publisher : LP3M INSTITUT KH YAZID KARIMULLAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/muqaddimah.v3i1.1176

Abstract

This study was conducted in Indonesia with the aim of determining the unpreparedness of the labor market in facing the digitalization era using the Vector Auto Regression (VAR) analysis method with a time series study for 19 (Nineteen) years. There are five variables used, namely e-commerce, economic growth, inflation, unemployment and labor with data obtained from the World Bank. The results of the VAR analysis using the lag 2 basis, the vector autoregression analysis shows the contribution of each variable to the variable itself and other variables. In addition, the results of the vector autoregression analysis also show that the past variable (t-1) contributes to the current variable both to the variable itself and to other variables. The results of the analysis show that there is a reciprocal relationship between the variables. The Response Function Analysis shows whether there are other variables that respond to changes in one variable in the short, medium, or long term. In addition, it is known that the stability of all variables appears for five years or the medium and long term. Variable Decomposition Analysis shows that variables such as ECO, INF, and GDP make the greatest contribution to the variable itself both in the short, medium and long term. In contrast, PG and TK are the other variables that have the greatest influence on the variable itself, with ECO and INF being the most influenced.
Transformasi Digital Ekonomi dalam Mendukung Inklusi Keuangan di Indonesia Muhammad Fauzan Pratama; Bakhtiar Efendi; Lia Nazliana Nasution
MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Vol. 3 No. 1 (2025): Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Publisher : LP3M INSTITUT KH YAZID KARIMULLAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/muqaddimah.v3i1.1184

Abstract

The digital economy plays an important role in promoting financial inclusion by providing wider, more efficient and affordable access to financial services through technology. The digital economy not only includes internet users and fintech but also places importance on sustainability to increase economic growth and reduce inflation in a country. These principles are the purpose of the research to form a strong basis for building an economic model that not only provides short, medium and long term benefits for the people and country of Indonesia. VAR (Vector Autoregression) in the context of econometric analysis is a statistical method used to model the relationship between several time-series variables in the research conducted. The VAR analysis shows that the VAR estimation results highlight the contribution of digital economy variables in measuring financial inclusion. Economic growth is mainly influenced by economic growth itself and savings, showing a significant impact of economic growth and savings. Internet users in the short term are influenced by internet users themselves but in the medium and long term are influenced by fintech as well as fintech variables. For inflation variables in the short and medium term, inflation itself is influenced and in the long term it is influenced by internet users. In the next variable, namely savings in the short and medium term, the biggest influence is inflation then internet users. IRF analysis reveals the response of variables to change and the importance of response stability in the short, medium and long term. In the digital transformation of the economy, that internet users and fintech are the main pillars in realizing digitalization in building financial inclusion but also have an impact on economic growth, savings and ultimately have an impact on inflation. The digital transformation of the economy has a significant impact on financial inclusion, providing a strong basis for digitized or modern economic policies. VAR analysis in IRF and FEVD tests helps reveal the complex interactions between digital economy variables providing valuable insights for effective and sustainable policy formulation.
Model Green Economy Index dalam Mengukur Transformasi Pembangunan Berkelanjutan di Indonesia Rizka Fadillah; Andria Zulfa; Rusiadi Rusiadi; Bakhtiar Efendi; Lia Nazliana Nasution
MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Vol. 3 No. 1 (2025): Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Publisher : LP3M INSTITUT KH YAZID KARIMULLAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/muqaddimah.v3i1.1186

Abstract

The Green Economy Index is an economic concept that prioritizes a sustainable economy and has a correlation to sustainable development. Green Economy not only includes aspects of economic growth but also places the importance of environmental sustainability, social empowerment as the first foundation. This aspect is the purpose of the research to form a strong basis in building an economic model that not only provides short, medium and long term benefits for society and the environment but can continue sustainable development in Indonesia. VAR (Vector Auto Regression) in the context of econometric analysis is a statistical method used to model the relationship between several variables using time series data. The analysis shows that the estimation results highlight that the contribution of Green Economy Index variables in measuring sustainable development transformation on economic growth variables is mainly influenced by energy consumption and carbon emissions, showing a significant impact of energy consumption and carbon emissions. Green investment in the short and medium term has the greatest influence by green investment itself, but in the long term the effect on green investment is carbon emissions and energy consumption. Furthermore, the variables of energy consumption and carbon emissions that have a significant effect are the variables themselves. IRF analysis shows the response of variables to changes and the importance of response stability in the short, medium and long term. In the Green Economy Index Model, energy consumption and carbon emissions become the main pillars with the encouragement of increasing green investment and then increasing economic growth. The analysis confirms the importance of adopting environmentally friendly practices, using renewable energy and increasing green investment in promoting sustainable economic growth without compromising the environment.