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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

Abstract

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.
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 : Sekolah Tinggi Ilmu Syariah Nurul Qarnain Jember

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.