scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPOR BERAS DI INDONESIA

2019 ◽  
Vol 11 (2) ◽  
pp. 183-201
Author(s):  
Yona Namira ◽  
Iskandar Andi Nuhung ◽  
Mudatsir Najamuddin
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Series Data ◽  
Test Results ◽  
The Us ◽  
Rice Prices ◽  
Us Dollar ◽  
Spss Software

This study aims to 1) identify factors that affect the import of rice in Indonesia 2) analyze the influence of these factors on imports of rice in Indonesia. The data used in this research are time series data from 1994 to 2013 from the Central Statistics Agency (BPS), the Ministry of Agriculture, Ministry of Commerce, National Logistics Agency (Bulog), and Bank Indonesia. Multiple linear regression through SPSS software version 21 was employed to analyze the data. The test results together indicated the variables of productions, consumptions, stocks of rice, domestic rice prices, international rice prices and the rupiah against the US dollar affect the imports of rice in Indonesia.

C. PENGARUH PERTUMBUHAN EKONOMI, PENGANGGURAN, DAN PENDIDIKAN TERHADAP KEMISKINAN DI PROVINSI JAWA TIMUR TAHUN 2009 – 2019

2020 ◽  
Vol 5 (2) ◽  
pp. 14
Author(s):  
Dr. Ignatia Martha Hendrati, S.E., M.E. ◽  
Novita Dwi Cahyanti ◽  
Kiki Asmara, S.E., MM
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Series Data ◽  
Test Results ◽  
Analysis Technique ◽  
Negative Effect

Abstrak Kemiskinan menjadi permasalahan yang sering dihadapi suatu daerah dan juga masyarakat.Tujuan dari penelitian ini yaitu untuk menguji Pengaruh Pertumbuhan Ekonomi, Pengangguran, dan Pendidikan secara parsial dan secara simultan terhadap Kemiskinan di Provinsi Jawa Timur tahun 2009 – 2019. Penelitian ini menggunakan data time series tahun 2009 – 2019. Data yang digunakan terdiri dari Pertumbuhan Ekonomi, Pengangguran, Pendidikan dan Kemiskinan di provinsi Jawa Timur. Teknik analisis data yang digunakan dalam penelitian yaitu Regresi Linier Berganda. Dari hasil pengujian diketahui bahwa Pertumbuhan Ekonomi, Pendidikan, Pengangguran berpengaruh secara simultan terhadap Kemiskinan di Jawa Timur tahun 2009 – 2019. Selain itu, secara parsial Pertumbuhan Ekonomi dan Pendidikan berpengaruh negatif signifikan terhadap Kemiskinan di Provinsi Jawa Timur. Sedangkan pengangguran secara parsial tidak berpengaruh terhadap kemiskinan di Provinsi Jawa Timur tahun 2009 – 2019. Kata kunci : Pertumbuhan ekonomi, pendidikan, pengangguran, dan kemiskinan. Abstract Poverty is a problem that is often faced by a region and society. The purpose of this study is to examine the effect of economic growth, unemployment, and education partially and simultaneously on poverty in East Java Province in 2009 - 2019. This study uses time series data. 2009 - 2019. The data used consists of Economic Growth, Unemployment, Education and Poverty in the province of East Java. The data analysis technique used in this research is Multiple Linear Regression. From the test results it is known that economic growth, education, unemployment simultaneously affect poverty in East Java in 2009 - 2019. In addition, partially economic growth and education have a significant negative effect on poverty in East Java Province. Meanwhile, partial unemployment has no effect on poverty in East Java Province in 2009 - 2019.  Key words: economic growth, education, unemployment, and poverty.

scholarly journals Pengaruh Industri Sedang dan Besar Terhadap Tingkat Kemiskinan di Kabupaten Gresik Tahun 2002-2016

2021 ◽  
Vol 4 (1) ◽  
pp. 25-31
Author(s):  
Rohmatul Janah ◽  
Ida Nuraini
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Industrial Sector ◽  
Poverty Rate ◽  
Domestic Product ◽  
Series Data ◽  
Insignificant Effect ◽  
Poverty Levels

This research is aimed at studying the influence of medium and large industries on poverty levels in Gresik on 2002-2016. The variables used in this study is medium and large industries, a labour of medium and large industries, gross regional domestic product (GRDP) of industrial sector and poverty rate. The method used in this study used multiple linear regression and used time-series data. The results of this study simultaneously are the variables of the amount of medium and large industries, the labour medium and large industries, and the gross regional domestic product (GRDP) of the industrial sector to poverty rate is significant. While medium and large industries to poverty rate have negative and insignificant effect with a coefficient value of -0,208905. The labour of medium and large industries to poverty rate has a positive and significant effect with a coefficient value of 0,130822,  the gross regional domestic product (GRDP) of industrial to poverty rate has a negative and significant effect with a coefficient value of -0,169431.

scholarly journals ANALISIS PENGARUH INFLASI, PRODUK DOMESTIK BRUTO (PDB), DAN NILAI TUKAR TERHADAP TABUNGAN MUDHARABAH PADA BANK UMUM SYARIAH (PERIODE 2013-2017)

2019 ◽  
Vol 8 (2) ◽  
pp. 138
Author(s):  
Rita Nur Wahyuningrum ◽  
Aan Zainul Anwar
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Islamic Banking ◽  
Central Statistics

<p>This study aims to analyze the effect of inflation, gross domestic product (GDP) and rupiah exchange rate on Mudharabah savings in Islamic banking in Indonesia. The data used is time series data for the period March 2013 to September 2017, which was published by Bank Indonesia from the Islamic Banking Statistics Report and the Central Statistics Agency. The technique of analyzing the research is qualitative with the method of Multiple Linear Regression. The results of this study indicate that simultaneously the Inflation, Gross Domestic Product (GDP) and Exchange Rate variables together have a significant effect on Mudharabah Savings. While partially only the Exchange Rate variable has a significant effect on Mudharabah Savings. Inflation Variables and Gross Domestic Product (GDP) have no significant effect on Mudharabah Savings.</p><p> </p><p>Keyword: inflation, gross domestic product, exchange rate, mudharabah saving</p>

scholarly journals Pengaruh Pertumbuhan Ekonomi, Tingkat Inflasi, dan Pertumbuhan Penduduk terhadap Tingkat Pengangguran Terbuka di Indonesia

2019 ◽  
Vol 18 (1) ◽  
pp. 52
Author(s):  
Irma Yuni Astuti ◽  
Nanik Istiyani ◽  
Lilis Yuliati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data

This study aims to determine the effect of economic growth, inflation and population growth in open unemployment rate in Indonesia. The type of data used in this study is secondary data in the form of time series data and variable data used are annual data in the period 1986-2017 with the object of research in the country o Indonesia. The data sources used in this study were obtained from the Central Statistics Agency (BPS) Indonesia and World Bank. The analytical method used in this study is multiple linear regression analysis with the Ordinary Least Square (OLS) technique. The estimation of time series data with multiple linear regression analysis shows that the economics growth variable has a positive and not significant effect on the level of open unemployment, the inflation variable has a positive and not significant effect on the level of open unemployment, and the population growth variable has a negative and significant effect on the level of open unemployment in Indonesia. Keywords: Open Unemployment, Economic Growth, Inflation, Population Growth

scholarly journals PENGARUH INVESTASI, KEPADATAN PENDUDUK, DAN JUMLAH TRANSPORTASI TERHADAP DEGRADASI LINGKUNGAN DI INDONESIA

2021 ◽  
Vol 3 (1) ◽  
pp. 53
Author(s):  
David Anugerah Hasni ◽  
Zul Azhar
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Population Density ◽  
Multiple Linear Regression ◽  
Environmental Degradation ◽  
Time Series Data ◽  
Time Sequence ◽  
Series Data ◽  
National Statistics ◽  
Total Investment

This research aims to prove and analyze the effect of total investment, population density and the amount of transportation on environmental degradation in Indonesia. The data used is obtained from the worbank website and the National Statistics Agency. The data used is time series data with a time sequence from 1988 to 2018. The method of analysis used in this research is multiple linear regression processed using SPSS. Based on the results of hypothesis testing, it is found that total investment and population density have no significant effect on environmental degradation in Indonesia, while the amount of transportation has a significant effect on environmental degradation in Indonesia.

scholarly journals Pengaruh Jumlah Penduduk, Indeks Pembangunan Manusia Dan Angkatan Kerja Terhadap Kemiskinan Di Provinsi Jambi

2020 ◽  
Vol 5 (2) ◽  
pp. 251
Author(s):  
Sudirman Sudirman ◽  
Sakinah Sakinah
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Human Development ◽  
Human Development Index ◽  
Quantitative Research ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Tool ◽  
Development Index

This research is quantitative research that wants to see the influence of Population, Human Development Index and Labor Force on Poverty in Jambi Province. The data used is time series data in 2000 – 2019 while the analysis tool used is multiple linear regression using Eviews 8 as an analysis tool. In this study concluded that the number of productive populations, manusi development index and workforce is able to minimize poverty in Jambi Province.

scholarly journals PENGARUH KETENAGAKERJAAN, PENGELUARAN PEMERINTAH DAN INFRASTRUKTUR EKONOMI TERHADAP KESEJAHTERAAN MASYARAKAT DI INDONESIA

2019 ◽  
Vol 1 (3) ◽  
pp. 739
Author(s):  
Siska Demi Putri ◽  
Ali Anis ◽  
Mike Triani
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Social Welfare ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Series Data ◽  
Significant Positive Effect ◽  
Descriptive Research ◽  
Positive Effect ◽  
Research Type

This research  aims to determine (1) the effect of labor on social welfare in Indonesia, (2) the effect of goverment expenditure on social welfare in Indonesia, (3) the effect of road infrastruktur on social welfare in Indonesia, (4) the effect of labor, goverment expenditure, and road infrastruktur on social welfare in Indonesia. The method used in this study is Multiple Linear Regression. The research type is descriptive research while the data used is time series data from 1987-2016 obtained from documentation of Bank Indonesia, and BPS Indonesia. The results of this study indicate that (1) labor has a significant positive effect on social welfare in Indonesia (2) goverment expenditure has a significant positive effect on social welfare in Indonesia  (3) road infrastruktur has a significant positive effect on social welfare in Indonesia, (4) labor, goverment expenditure, and road infrastruktur has a significant positive effect on social welfare in Indonesia.

scholarly journals ANALIZING FACTOR THAT AFFECTING IMPORT OF MAIZE IN INDONESIA ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPOR JAGUNG DI INDONESIA

2019 ◽  
Vol 12 (2) ◽  
Author(s):  
Raditya Audayuda ◽  
Elpawati E ◽  
Iwan Aminudin
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Series Data ◽  
F Test ◽  
Maize Production ◽  
Us Dollar

The purpose of The study is to identify the factor that affecting import of maize in Indonesia, Ana to analyze The factor that affecting import of maize in Indonesia. The data used in The Study is Time series data from 1990 to 2014 sourced from BPS(Badan Pusat Statistik) and Kementrian Pertanian. The method used in The Study is linear regression analysis using SPSS 18 software. Statistics Test that used in this Study including R2 , F-test, and T-test.In this Study we can concluded that R2 test value is 0,703 that means 70,3% import of maize explained by variable that used in model, which is: maize production (produksi jagung), maize consumption (konsumsi jagung), maize domestic prize (harga jagung domestik), maize import prize (harga jagung impor), and Rupiah to US Dollar currency (Nilai tukar rupiah terhadap dollar Amerika), and remaining 29,7% remains explained by another variable that exclude by this model. After all The testing, results shows all variable in The model affecting maize import simultaneously, and partial Test shows maize production, maize consumption, maize domestic prize, and Rupiah to US Dollar currency partially affecting import of maize in Indonesia, and maize import prize variable didn’t affect import of maize in Indonesia.

scholarly journals PENGARUH INFLASI DAN KURS TERHADAP EKSPOR TEH INDONESIA KE JERMAN

2019 ◽  
Vol 2 (1) ◽  
pp. 8
Author(s):  
Iska Devi ◽  
Murtala Murtala
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Regression Model ◽  
Exchange Rates ◽  
Multiple Linear Regression ◽  
Analytical Model ◽  
Linear Regression Model ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Series Data

This study aims to determine the effect of inflation and exchange rates on Indonesian tea exports to Germany. The data used in this study are time-series data from 2003 to 2015 obtained from the Central Bureau of Statistics and related agencies. The analytical model used in this study is the Multiple Linear Regression Model. The results of the study partially show that inflation and exchange rates have a positive and significant effect on Indonesian tea exports to Germany. Meanwhile, simultaneously, inflation and exchange rates have no significant effect on Indonesian tea exports to Germany

scholarly journals Macro Economic Challenges and Third Party Funds of Islamic Commercial Banks in Indonesia

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Anik Anik ◽  
Iin Emy Prastiwi
Keyword(s):  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
Data Gathering ◽  
Third Party ◽  
Series Data ◽  
Monthly Data ◽  
The Us ◽  
Us Dollar ◽  
Gathering Data

This article aims to determine the effect of inflation, the BI Rate, the exchange rate of the rupiah to the US dollar, and the amount of money supply for Third Party Funds (TPF) in Indonesians’ Islamic Banks during 2013-2016. This research method uses multiple regression analysis with time series data; gathering data from 48 samples of which are monthly data on the variables.  The result of this research find that the inflation and exchange rate variables have no significant effect on TPF, while the BI Rate variable and the money supply have a significant effect on TPF. In doing so, Islamic banking can pay serious attention to the BI rate and the money supply and in this study the BI rate on the direction of TPF. Keywords: inflation, BI rate, exchange rate, Third Party Funds

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