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<![CDATA[FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI INDUSTRI MANUFAKTUR DI INDONESIA ]]>
<![CDATA[Fatma Syara Arzia]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 1, No 2 (2019): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v1i2.6178
<![CDATA[This study aims to determine: (1) the effect of labor on the production of manufacturing industries in Indonesia. (2) the influence of the number of business units on the production of manufacturing industries in Indonesia. (3) the influence of raw materials on the production of manufacturing industries in Indonesia. This study aims to determine and analyze the influence of labor relations, the number of business units and raw materials on the production of manufacturing industries in Indonesia. The data used are panel data from 33 Provinces in Indonesia during the period 2011 to 2015. The type of research used is descriptive and associative. The type of data used is secondary data. This study uses a Random Effect Model (REM) approach. The results of this study indicate that: (1) Labor has a negative and significant effect on the production of manufacturing industries in Indonesia, (2) The number of business units has a negative and significant effect on the production of manufacturing industries in Indonesia, (3) Raw materials have a positive and significant effect on production manufacturing industry in Indonesia.]]>
<![CDATA[PENGARUH DANA PIHAK KETIGA, INFLASI, DAN TINGKAT SUKU BUNGA KREDIT TERHADAP PERMINTAAN KREDIT INVESTASI BANK PEMERINTAH DAERAH DI INDONESIA ]]>
<![CDATA[Gusnimar Gusnimar]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 1, No 2 (2019): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v1i2.6269
<![CDATA[This study aims to find out how the influence of deposits, inflation, and credit interest rates on the demand for investment loans from Government Banks in Indonesia. The data used are secondary data in the form of time series from 2010: Q1 to 20108: Q4, with the technique of collecting documentation data and library studies obtained from relevant institutions and agencies. The variables used are Investment Credit Demand (Y),deposits (X1), inflation (X2), and credit interest rates (X3). The research method used is Ordinary last Square (OLS). The results of the study show that (1) deposits and inflation have a positive and significant effect on the demand for investment credit, (2) the credit interest rate has a negative and significant effect on the demand for investment credit, and (3) deposits, inflation, and rates Credit interest has a significant effect on the demand for investment credit at Regional Government Banks in Indonesia]]>
<![CDATA[Analisis Kausalitas Antara Ketimpangan Pendidikan, Ketimpangan Pendapatan dan Kemiskinan di Indonesia ]]>
<![CDATA[Nur Azmi Randa]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 2, No 1 (2020): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v2i1.8856
<![CDATA[This study aims to find out the causal relationship between educational inequality, income inequality, and poverty in Indonesia. The data used are secondary data in the form of panel data from 2011 to 2018. Data analysis used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely (1) Root Root Test (Unit Root Test), (2) Cointegration Test, (3) Optimum Lag Test, (4) Granger Causality Test, (5) Stability Test (Stability Test), (6) Variable Response Test (Impulse Response Finction), (7) Variance Decomposition Test. The results of this study indicate that: (1) There is a causal relationship between educational inequality and income inequality. (2) There is no causal relationship between inequality in education and poverty. (3) there is no causal relationship between income inequality and poverty. But there is a one-way relationship between income inequality and poverty.]]>
<![CDATA[ANALISIS KAUSALITAS ANTARA MIGRASI, PENGANGGURAN, DAN KEMISKINAN DI INDONESIA ]]>
<![CDATA[Anna Willia Glorina]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 1, No 2 (2019): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v1i2.6179
<![CDATA[This study aims to determine whether there is a causal relationship between migration, unemployment and poverty in Indonesia. The data used are secondary data in the form of panels with a period of time from 2013 to 2017, with the technique of collecting documentation data and library studies obtained from relevant institutions and agencies. The variables used are migration, unemployment, and poverty. The research method used is Vector Auto Regression (VAR). The results show that: (1) There is no causality between migration and unemployment but there is only a one-way relationship between unemployment and migration (2) There is a causality between migration and poverty (3) There is a causality between unemployment and poverty.]]>
<![CDATA[FAKTOR-FAKTOR YANG MEMPENGARUHI MIGRASI SEUMUR HIDUP DI INDONESIA ]]>
<![CDATA[Annisatul Husnah]]>;
<![CDATA[Sri Ulfa Sentosa]]>;
<![CDATA[Ali Anis]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 1, No 2 (2019): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v1i2.6175
<![CDATA[This study aims to look at: (1) the influence of education on lifelong migration in Indonesia. (2) Effect of wages on lifetime migration in Indonesia. (3) Effect of employment opportunities on lifelong migration in Indonesia. (4) The effect of marriage on lifelong migration in Indonesia, and (5) The effect of education, wages, employment opportunities and wages together on lifelong migration in Indonesia. This study uses Indonesian Susenas Statistics data from 2005-2016. The analysis technique used is OLS by using the fixed effect model. The results of this study indicate that education has a negative and insignificant effect on lifetime migration. Partially the variables of wages, employment opportunities and marriage have a positive and significant effect on lifetime migration in Indonesia. Taken together the variables of education, wages, employment opportunities and marriage have a significant effect on lifetime migration in Indonesia.]]>
<![CDATA[PENGARUH FAKTOR MAKROEKONOMI DAN KEBIJAKAN MONETER NEGARA MAJU TERHADAP YIELD OBLIGASI INDONESIA ]]>
<![CDATA[Fajar Akbari]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 1, No 2 (2019): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v1i2.6171
<![CDATA[This study aims to determine the influence of macroeconomic factors and monetary policy of developed countries on Indonesian bond yields. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, M2 money supply as X3, American interest rates as X4, European interest rates as X5, and the dependent variable of Indonesian government bond yield as Y. The data used is secondary data in the form of time series data from 2008Q1 to 2018Q4, with data collection techniques, namely documentation from Bank Indonesia publications, Central Statistics Agency, investing.com sites and library studies. The research method used is (1) Multiple Linear Regression, (2) Classical Assumption Test, (3) coefficient of determination. The results of this study indicate that: (1) inflation has a significant positive effect on Indonesian bond yields. (2) Foreign exchange reserves have a significant negative effect on Indonesian bond yields. (3) M2 money supply has no effect on Indonesian bond yields. (4) American interest rates have a significant positive effect on Indonesian bond yields. (5) European interest rates do not have a significant positive effect on Indonesian bond yields.]]>
<![CDATA[ANALISIS HUBUNGAN KAUSALITAS ANTARA TINGKAT SUKU BUNGA,TINGKAT INFLASI, DAN HARGA SAHAM DENGAN KURS RUPIAH TERHADAP DOLAR AMERIKA SERIKAT DI INDONESIA ]]>
<![CDATA[Resti Junia Sari]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 1, No 2 (2019): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v1i2.6277
<![CDATA[The aim of this study is to see and analyze the relationship of causality between:1. The interest rate with IDR (Indonesian Rupiah) towards USD (United States Dollar). (2) the inflation rate with IDR towards USD (3) The stock prices with IDR towards UDS.This study was conducted by using qualitative with descriptive and associative, where the data was used secondary data in the form of time series from the year 2006, first quarter to the year 2016 first quarter that was obtained from the relevant institutions. To analyze the data, this study have used vector autoregressive (VAR) in order to see the relation between casuallity and variable.The finding has shown that the exchange rate and interest rate do not have a causal relationship rather than a unidirectional correlation, it means thatthe exchange rates ,both it is high or low, have no influence to interest rates however the interest rates will give an effect to exchange rate movements. Moreover, the exchange rates as well as the inflation do not have a causal relationship even one-way relationship, thus the changes in inflation have no effects to exchange rate movements and vice versa. While the exchange rates along with stock prices do not have a causal relation but stock prices have a one-way connection with the exchange rate. By this, the exchange rate movements do not have a relation with stock price movements but movements in stock prices have a relation to exchange rate movements.]]>
<![CDATA[PENGARUH PAJAK, PENANAMAN MODAL DALAM NEGERI (PMDN) DAN TENAGA KERJA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA ]]>
<![CDATA[Melni Yunita]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 1, No 2 (2019): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v1i2.6265
<![CDATA[This study aims to determine the effect simultaneously or partially between tax, investment (PMDN) and labor towards economic growth in Indonesia. The type of data in this study is secondary data and time series data in the form of annual data from 1987 to 2017, the analysis technique used in this study is multiple linear regression. Based on the results of testing, simultaneously tax, investment (PMDN) and labor have a significant effect on economic growth in Indonesia from 1987 to 2017. Partially the tax variable has a significant positive effect, investment (PMDN) has a significant positive effect, labor has a significant positive effect towards economic growth in Indonesia from 1987 to 2017. In the future, it is recommended that policy makers, especially the government, must maximize national tax acquisition as a source of development costs. Increasing the value of investment in Indonesia by providing better security guarantees to investors, simplifying the licensing process and keeping the Indonesian economy stable and conducive. In addition, increasing the capacity and skills of the workforce is also very necessary given the increasingly global competition and as an effort to attract third parties to come to areas that have high capacity resources.]]>
<![CDATA[FAKTOR – FAKTOR YANG MEMPENGARUHI IMPOR GULA INDONESIA ]]>
<![CDATA[Muthiah Putri]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 3, No 4 (2021): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v3i4.12379
<![CDATA[This study aims to analyze the Effect of Exchange Rate, Production, GDP and Inflation on Sugar Imports in Indonesia, either partially or simultaneously.This type of research is classified as quantitative research. This research was conducted in Indonesia using data obtained from the Central Statistics Agency (BPS), coumtraden.un.org (United Nations International Trade Statistics Database), the World Bank, and the International Monetary Fund (IMF). The data used are annual data from 1989 to 2020. The data analysis technique uses multiple linear regression with t test and F test. The results showed that (1) the exchange rate had a positive and significant effect on sugar imports in Indonesia with a regression coefficient of 0.554 and the value of tcount >ttable (2.1697 > 2.052) or significant < significance (0.012 < 0.05). (2) production has a negative and insignificant effect on sugar imports in Indonesia with a regression coefficient of -0.759 and a production tcount > ttable (-1.602 < 2.052) or significant > significance (0.121 > 0.05). (3) GDP has a positive and significant effect on sugar imports in Indonesia with a regression coefficient of 1.293 and tcount GDP > ttable (3.395 > 2.052) or significant <significance (0.002 < 0.05). (4) Inflation has a negative and insignificant effect on sugar imports in Indonesia with a regression coefficient of -0.003 and an inflation tcount > ttable (0.722 < 2.052) or significant > significance (0.476> 0.05). (5) exchange rate, production, GDP and inflation have positive and significant effect together on sugar imports in Indonesia, the results of the analysis show that the Fcount 40.999 > Ftable 2.73 (0.000 < 0.05).]]>
<![CDATA[Analisis Kausalitas Stunting, Pertumbuhan Ekonomi dan Kemiskinan di Indonesia ]]>
<![CDATA[Dedek Aulia Damayanti]]>;
<![CDATA[Sri Ulfa Sentosa]]>
<![CDATA[ Jurnal Kajian Ekonomi dan Pembangunan Vol 2, No 2 (2020): Jurnal Kajian Ekonomi dan Pembangunan ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
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DOI: 10.24036/jkep.v2i2.12641
<![CDATA[ This study intends to look at the causality relationship between stunting, economic growth, and poverty in Indonesia. the type of data used is secondary data in the form of panel data from 2011 to 2018. Analysis of the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely (1) Root Root Test (Unit Root Test), (2) Cointegration Test, (3) Optimum Lag Test, (4) Granger Causality Test, (5) Stability Test, (6) Impulse Response Finction Test, (7) Variance Decomposition Test. The results of this study show that: (1) There is a significant relationship exists between stunting and economic growth. (2) There is no significant relationship between economic growth and poverty. (3) there is a significant relationship between poverty and stunting in Indonesia.]]>
