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All Journal Ekonomikawan : Jurnal Ilmu Ekonomi dan Studi Pembangunan TARBIYATUNA : Jurnal Kajian Pendidikan, Pemikiran dan Pengembangan Lembaga Pendidikan Islam Proceedings of The International Conference on Business and Economics Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC) Jurnal Riset Ekonomi dan Akuntansi Muqaddimah: Jurnal Ekonomi, Manajemen, Akuntansi dan Bisnis Journal Economic Excellence Ibnu Sina Anggaran: Jurnal Publikasi Ekonomi dan Akuntansi Jurnal Ekonomi dan Pembangunan Indonesia Jurnal Ekonomi, Akuntansi dan Perpajakan Jurnal Ilmiah Ekonomi, Akuntansi dan Pajak International Journal of Economics, Commerce, and Management International Journal of Economics and Management Sciences International Journal of Economics, Management and Accounting International Journal of Accounting, Management, and Economics Research : Ijamer International Conference on Digital Advanced Tourism, Management, and Technology Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan

Lia Nazliana Nasution

Unknown Affiliation

Author-ID : 2609538

Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 28 Documents Claim Missing Document

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Analisis Pengaruh Ekspor Kopi, Tembakau, Dan Getah Karet Alam Terhadap Ekspor Di Sumatera Utara Lia Nazliana Nasution; Mohammad Yusuf
Ekonomikawan: Jurnal Ilmu Ekonomi dan Studi Pembangunan Vol 18, No 1 (2018)
Publisher : UNIVERSITAS MUHAMMADIYAH SUMATERA UTARA

This study aims to determine the amount of coffee exported by companies in North Sumatra, tobacco managed by regional companies and private companies managed in North Sumatra and to know the export of natural rubber latex carried out by companies in North Sumatra. The analysis method used is multiple linear regressionanalysis, with time series secondary data starting from 2001 to 2015. The independent variables used are coffee exports (X1), tobacco exports (X2), and exports of natural rubber latex (X3) while the dependent variable is Export (Y). The results obtained are: coffee export variables have a negative and significant effect on exports in North Sumatra, while the export variables of tobacco and naturalrubber sap exports have a positive and significant effect on exports in North Sumatra.

Kajian Tingkat Kemiskinan di Kabupaten Batu Bara Provinsi Sumatera Utara Pasca Pemekaran Lia Nazliana Nasution
Ekonomikawan: Jurnal Ilmu Ekonomi dan Studi Pembangunan Vol 19, No 1 (2019)
Publisher : UNIVERSITAS MUHAMMADIYAH SUMATERA UTARA

Kabupaten Batu Bara merupakan kabupaten yang lahir dari pemekaran Kabupaten Asahan pada tahun 2007. Di Kabupaten Batu Bara, jumlah penduduk miskin periode tahun 2007 sampai 2017 terus mengalami fluktuasi. Menunjukkan tren menurun mulai tahun 2007 sampai dengan tahun 2012 tetapi terus berfluktuasi mulai tahun 2013 sampai dengan tahun 2017. Penelitian ini dimaksudkan untuk mengkaji tingkat kemiskinan di kabupaten Batu Bara pasca pemekaran. Variabel yang digunakan dalam penelitian ini adalah tingkat pengangguran terbuka, TPT (X1), perumbuhan ekonomi (X2), tingkat pendidikan (X3), dan tingkat kemiskinan (Y). Data yang digunakan mulai tahun 2007 sampai dengan 2017, dengan analisis data kuantitatif metode regresi berganda. Dari hasil penelitian ditunjukkan bahwa tingkat pengangangguran terbuka (TPT), pertumbuhan ekonomi, dan tingkat pendidikan tidak mempengaruhi signifikan terhadap kemiskinan di kabupaten Batu Bara pasca pemekaran.

Analisis Inflasi dan Impor Indonesia Dewi Mahrani Rangkuty; Lia Nazliana Nasution
Ekonomikawan: Jurnal Ilmu Ekonomi dan Studi Pembangunan Vol 18, No 2 (2018)
Publisher : UNIVERSITAS MUHAMMADIYAH SUMATERA UTARA

Indonesia merupakan negara yang menganut sistem perekonomian terbuka. Semenjak dari masa kemerdekaan sampai dengan sekarang masih terus menjadi bagian dan atau pelaku di pasar internasional. Kecenderungan mengeskpor untuk meningkatkan pendapatan negara diikuti pula dengan mengimpor barang/jasa modal dan jenis barang/jasa ekonomi lainnya yang dikonsumsi oleh penduduk domestik. Tujuan penelitian ini adalah untuk menganalisis data laju pertumbuhan inflasi dan impor Indonesia dengan time series mulai dari tahun 1991-2017. Hasil penelitian dengan metode analisis VAR (vector autoregression) didapatkan bahwa Inflasi dan impor tidak berkaitan erat dan tidak saling mempengaruhi berdasarkan kurun waktu penelitian ini karena tidak memiliki hubungan sebab akibat. Inflasi periode yang lalu tidak mempengaruhi secara signifikan terhadap impor Indonesia. Peningkatan impor berpengaruh positif terhadap inflasi berdasarkan persamaan VAR. Dan antara inflasi dan impor terdapat hubungan stabilitas keseimbangan jangka panjang dan pergerakan dalam jangka panjang. Sementara dalam jangka pendek kedua variabel inflasi dan impor saling menyesuaikan untuk mencapai keseimbangan jangka panjang. Hal yang dapat direkomendasikan kepada pemerintah yakni Bank Indonesia diharapkan dapat tetap menjaga laju inflasi terkait kestabilan nilai rupiah baik di dalam maupun luar negeri sehingga dapat menekan kuota impor yang dapat mengurangi kecenderungan konsumsi terhadap barang/jasa impor oleh penduduk domestik.

Analisis Pengaruh Pendalaman Sektor Keuangan dan Cadangan Devisa Terhadap Nilai Tukar Mata Uang Indonesia, Malaysia, dan Filipina Kardina Siregar; Yuli Ariani; Rusiadi Rusiadi; Suhendi Suhendi; Lia Nazliana Nasution
Jurnal Ekonomi, Akuntansi, dan Perpajakan Vol. 1 No. 2 (2024): Mei : Jurnal Ekonomi, Akuntansi, dan Perpajakan (JEAP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jeap.v1i2.125

This research aims to analyze the influence of financial sector deepening and foreign exchange reserves on currency exchange rates in Indonesia, Malaysia and the Philippines. The variables in this research are exchange rate, GDP, credit interest rates, money supply, foreign exchange reserves. This research uses secondary data taken from WorldBank in 2005-2022. The data analysis technique used is the Autoregressive Distributed Lag (ARDL) panel. The research results from the ARDL model analysis show that the countries that are able to become lead indicators for KURS tariff stability are Indonesia and Malaysia. This is because all the variables or indicators in the research, namely (Foreign Exchange Reserves, GDP, JUB and Credit Interest Rates) in these countries have a significant effect on the KURS, while CDV, GDV and JUB do not have a significant effect on the KURS. in the Philippines, only the SBK variable has a significant effect on the KURS in the Philippines. If we look at short-term and long-term stability, the Unemployment Rate variable, both short-term and long-term, has a significant effect on KURS stability.

Model Pengeluaran Pemerintah dan Pertumbuhan Ramah Lingkungan Berdasarkan Konsumsi Energi Ramah Lingkungan di Indonesia Rizka Fadillah; Muhammad Fauzan Pratama; Toni Toni; Rusiadi Rusiadi; Suhendi Suhendi; Lia Nazliana Nasution
Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak Vol. 1 No. 2 (2024): Juni : Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak (JIEAP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jieap.v1i2.126

This research aims to determine the effect of the government expenditure model and green growth based on green energy consumption in Indonesia which has 4 variables, namely carbon emissions, energy consumption, economic growth and government expenditure. The analytical method used in this research is the Vector Auto Regression (VAR) model with the Impulse Response Function (IRF) test, Forecast Error Varince Decomposition (FEVD), stationarity test, cointegration test, structural lag stability test, and optimal lag length test. . The results of the Vector Autoregression research using lag 1 as the basis show the contribution of each variable to the variable itself and other variables. The results of the Vector Autoregression analysis also show that the past variable (t-1) contributes to the current variable, both the variable itself and other variables. From the results of the analysis, there is a reciprocal relationship between one variable and another variable. Response Function Analysis shows the response of other variables to changes in a variable in the short, medium and long term, and it is known that the stability of the response of all variables is formed within a period of 5 years or the medium term. and long term. Variance Decomposition Analysis shows that there are variables that have the largest contribution to the variable itself in the short, medium and long term, such as CO2, EC, and GOV. Meanwhile, another variable that has the greatest influence on the variable itself in the short, medium and long term is CO2 which is strongly influenced by GOV and GDP.

The Influence of Interest Rates, Consumption, Investment, Unemployment, and Renewable Energy on Inflation and GDP in Indonesia Putri Valentine; Rusiadi Rusiadi; Lia Nazliana Nasution
International Journal of Economics, Commerce, and Management Vol. 1 No. 4 (2024): October : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v1i4.184

This research aims to determine the influence of interest rates, consumption, investment, unemployment and renewable energy on inflation and gross domestic product (GDP) in Indonesia. The variables in this research are Interest Rates, Consumption, Investment, Unemployment and Renewable Energy as independent variables, while the variables Inflation and Gross Domestic Product (GDP) are the dependent variables. The research period is 1993 - 2023. The data analysis technique used is the Simultaneous model, with testing using Eviews 10. Based on the results of the simultaneous analysis, the variables Interest Rate, Consumption and GDP have a positive and significant effect on Inflation. Meanwhile, the Investment Variable does not have a positive and significant effect on Inflation. The Renewable Energy and Inflation variables have a positive and significant effect on GDP. Meanwhile, the unemployment variable does not have a positive and significant effect on GDP.

Integration Of Green Monetary and Green Fiscal Policies In Supporting The Effectiveness Of Economic Transformation Towards Development Sustainable In Indonesia Putri Valentine; Sabilayana Sabilayana; Rusiadi Rusiadi; Suhendi Suhendi; Lia Nazliana Nasution
International Journal of Economics, Management and Accounting Vol. 1 No. 2 (2024): June : International Journal of Economics, Management and Accounting
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijema.v1i2.52

This research aims to determine Renewable Energy, Emission Intensity, Life Expectancy, and Unemployment Rate on Gross National Income (GNI) in Estonia, Finland, Germany, Hungary, and Norway. The variables in this research are Renewable Energy, Emission Intensity, Life Expectancy, and Unemployment Rate as independent variables, while the Gross National Income variable is the dependent variable. This research uses secondary data taken from the OECD from 2011-2023. The data analysis technique used is the Autoregressive Distributed Lag (ARDL) panel. The research results from the ARDL model analysis show that the country that is able to become a leading indicator for the stability of the GNI rate is only Norway. This is because all the variables or indicators in the research, namely (Renewable Energy, Life Expectancy, and Unemployment Rate), this country has a significant effect on GNI. while the Emission Intensity variable does not have a significant effect on GNI. If we look at the stability of the short run and long run, the Unemployment Rate variable, both in the short and long term, significantly controls the stability of GNI.

MONETARY, FISCAL AND GREEN TRADE INDICATORS IN INDONESIA Dewi Mahrani Rangkuty; Rusiadi; Lia Nazliana Nasution; Wahyu Indah Sari; Rapita Damanik
Jurnal Tarbiyatuna: Jurnal Kajian Pendidikan, Pemikiran dan Pengembangan Pendidikan Islam Vol. 5 No. 1 (2024): Juni 2024
Publisher : Institut Agama Islam Darussalam Blokagung Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30739/tarbiyatuna.v5i1.3355

Monetary policy, fiscal policy, and green trade are distinct yet interconnected elements that influence the economy. In this research, research is conducted by utilising studies which are similar or related. After collecting various literature related to the study under study, the researcher makes observations then the object of research is explored through various library information both from books, natural journals, digital data, documents and so on in order to analyse monetary, fiscal and green trade indicators in Indonesia. Governments might use fiscal measures, such as tax incentives for green technologies, to promote environmentally friendly trade practices. Central banks can support green trade by considering environmental risks in their financial stability assessments and potentially incorporating sustainability criteria into their monetary policy frameworks.

Analisis Tren Ekonomi Digital terhadap Kebijakan Moneter di Indonesia Toni Toni; Lia Nazliana Nasution; Bakhtiar Efendi
Anggaran : Jurnal Publikasi Ekonomi dan Akuntansi Vol. 2 No. 4 (2024): Desember : Anggaran: Jurnal Publikasi Ekonomi dan Akuntansi
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/anggaran.v2i4.1064

This study aims to determine the effect of fintech, the amount of money in circulation, interest rates and economic growth on the analysis of digital economic trends on monetary policy in Indonesia. There are four variables in this study, namely fintech, the amount of money in circulation, interest rates and economic growth. The analysis method used is Vector Autoregression with the Impluse Response Function test or abbreviated as IRF and the Forecast Error Variance Decomposition test commonly abbreviated as FEVD, stationarity test, cointegration test, lag structure stability test and optimal lag length test. There is a contribution from each variable to the variable itself and other variables, according to the results of the Vector Autoregression study with a lag basis of 2. In addition, the results of the Vector Autoregression analysis 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. By using response function analysis, we can see if there is a response from other variables to changes in one variable in the short, medium, or long term. In addition, we know that the stability of all variables is formed in the short, medium, and long term. According to the Variance Decomposition Analysis, factors such as Fintech and Money Supply contribute the most to the variable itself. However, other variables that have the greatest influence on the variable itself and are supported by other variables in the short, medium, and long term are economic growth and interest rates are most influenced by Fintech.

Analisis Keterkaitan Fintech Innovation, Financial Inclusion, Green Finance, dan Balance of Trade di Indonesia Budi Rusdianto; Bakhtiar Efendi; Rusiadi Rusiadi; Lia Nazliana Nasution
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Vol. 2 No. 4 (2024): Oktober : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/wawasan.v2i4.2610

This research aims to look at the relationship between Fintech Innovation, Financial Inclusion, Green Finance, and Balance of Trade in Indonesia. Financial technology innovation is experiencing very rapid development. Green Finance or a sustainable green economy itself can be interpreted as anything that can be enjoyed not only now but for the long term into the future which ultimately aims to improve the Indonesian economy and play a positive role in the growth of the trade balance. The research method in this research is using the VAR method. The VAR model is a model that is used without emphasizing the problem of exogeneity of the variables used in the analysis. The VAR model makes it easy to provide answers and provide empirical and more complex evidence of the long-term reciprocal relationship of economic variables that contribute to one another. The research results in this study are that the variables are related to each other.

Co-Authors Amri Darma Kurniawan S Andria Zulfa Audre Aprillia Bakhtiar Efendi Budi Rusdianto Dea Dellia Dewi Mahrani Rangkuty Diwayana Putri Nasution Dwi Ananda Dwita Sakuntala Faried, Annisa Ilmi Feri susilawati Fredi Alwi Hilmi Kardina Siregar Mohammad Yusuf Muhammad Fauzan Pratama Nuri Rahayu Ningsih Nurul Syahfia Putri Valentine Rachmad Ikhsan Rapita Damanik Rizka Fadillah Rizki Ramadhan Rizki Rizki Rizkil Khoir Sabilayana Sabilayana Sanusi Ghazali Pane Selfia Putri Johana Eka Ningsih Simatupang Sinar Andi Putra Munthe suhendi suhendi Syukur Laoli Toni Toni Wahyu Indah Sari Winsi Fadiah Putri Yolanda Widya Anggreni Situmorang Yuli Ariani

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