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All Journal JURMA : Jurnal Program Mahasiswa Kreatif Jurnal Bina Bangsa Ekonomika The International Conference on Education, Social Sciences and Technology (ICESST) MUQADDIMAH: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis
Andria Zulfa
Universitas Pembangunan Panca Budi
Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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MODEL PEMBANGUNAN BERKELANJUTAN BERBASIS EKONOMI MARITIM DI INDONESIA Budi Rusdianto; Nuri Rahayu Ningsih; Suhendi Suhendi; Andria Zulfa; Rusiadi Rusiadi; Diwayana Putri Nasution
Jurnal Bina Bangsa Ekonomika Vol. 17 No. 1 (2024): Jurnal Bina Bangsa Ekonomika (JBBE)
Publisher : LP2M Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jbbe.v17i1.526

Abstract

This research was conducted in Indonesia with the aim of determining the sustainable development model based on maritime economy using the Vector Autoregression (VAR) analysis method with time series research data for 15 (fifteen) years. The variables used in this study consisted of exports, imports, loading sea freight (ALM), and bongkatr sea freight (ALB) with data obtained through the Central Bureau of Statistics (BPS) Indonesia. The results of the VAR analysis show that the contribution of each variable to itself and other variables is clearly visible on the basis of lag 1. Vector autoregression analysis reveals significant interrelationships between variables, reflecting the complexity and interconnectedness within those systems. The Impulse Response Function (IRF) showed an increase in exports giving a positive response in all time periods, however, a negative response appeared in the medium and long term from the import variables, ALM and ALB. Import variables give positive responses in various time periods, but negative responses appear in the medium and long term from imported variables, ALB, and ALM. Response stability is established in the medium term (period 5) and long term (period 10). Forecast Error Variance Decomposition (FEVD) analysis shows that export variables contribute significantly to model changes in the short term, while export and import variables are more effective as recommendations for development model development in the medium and long term. Development models through variable ALM most effectively involve ALB in the short term, and ALB and exports in the medium and long term. Import control is effective in controlling export variables in the short, medium, and long term. Overall, the results of FEVD analysis provide deep insights for the development of maritime economy-based development models in Indonesia, emphasizing the importance of export, import, ALB, and ALM variables in formulating effective policies.
Macroeconomic Analysis of the Poverty Levels on Sumatra Island Amri Darma Kurniawan S.; Suhendi Suhendi; Andria Zulfa; Lia Nazliana Nasution
Jurma : Jurnal Program Mahasiswa Kreatif Vol 8 No 1 (2024): JUNI
Publisher : LPPM UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurma.v8i1.2286

Abstract

This research aims to determine the influence of the Open Unemployment Rate, Gini Ratio and Human Development Index (HDI) on the Poverty Level on Sumatra Island. Research data uses secondary data obtained from the official website of the Central Badan Pusat Statistik (BPS) and Provincial BPS in the form of quantitative data from 10 provinces on the island of Sumatra for the period 2010 - 2023. The research uses the Panel Data Regression Method with the Eviews 12 Student Lite version of the software program. The regression model chosen for this research is the Random Effect Model (REM). The results of data analysis show that the Open Unemployment Rate, Gini Ratio and Human Development Index simultaneously have a significant effect on the Poverty Level on Sumatra Island. Partially, the Open Unemployment Rate has a significant positive effect on the Poverty Rate. Likewise, the Human Development Index has a significant negative effect on Poverty Levels. On the other hand, the Gini Ratio does not have a significant negative effect on the level of poverty on the island of Sumatra during 2010 – 2023.
Analysis of the Effect of International Trade on State Expenditure M. Fauzan Rusyidi Nst; Rizky Rizky; Suhendi Suhendi; Andria Zulfa; Lia Nazliana Nasution
Jurma : Jurnal Program Mahasiswa Kreatif Vol 8 No 1 (2024): JUNI
Publisher : LPPM UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurma.v8i1.2272

Abstract

This research aims to figure out how international trade influence the government expenditure. The independent variables of this research are export and import. The dependent variable of this research is government expenditure. The method of this research is OLS. This research use datas from World Bank and BPS. The object of this research is the economic condition of Indonesia. The result of this research are as follows : Export significantly influence the government expenditures. Import doesn’t significantly influence government expenditures. Export and import simultantly influence the government expenditures.
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.
Analisis Tantangan dan Peluang Ekonomi Digital dalam Mendorong Pertumbuhan Ekonomi Berkelanjutan di Indonesia Sabilayana Sabilayana; Andria Zulfa; 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.v3i1.1185

Abstract

The digital economy plays a crucial role in driving global economic growth, including in Indonesia. However, the rapid development of digital technology also presents challenges, such as thei digital divide and uneven infrastructure. This study aimsi to analyze the impact of thei digital economy on Indonesia's economic growth using the Autoregressivei Distributed Lag (ARDL) model. The analysis results show that the Digital Divide and Digital Skills havei a negativei impact on Gross Domestic Product (GDP) in the short term, while Internet Penetration and E-commerce have a positive but insignificant impact. In the long term, these variables do not significantlyi affect GDP. These findings indicatei that although digital technology has potential, its impact is limited by factors such as unequal infrastructure access and low digital skills. Thei government needs to strengthen digital infrastructure, digital skills, and e-commerce adoption, particularly in the Small and Medium Enterprises (SMEs) sector.
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.
Co-Authors Amri Darma Kurniawan S. Bakhtiar Efendi Budi Rusdianto Diwayana Putri Nasution Lia Nazliana Nasution M. Fauzan Rusyidi Nst Nuri Rahayu Ningsih Rizka Fadillah Rizky Rizky Sabilayana Sabilayana Suhendi Suhendi Suhendi