scholarly journals Produk Domestik Bruto dan Kurs Sebagai Determinan Impor Pupuk Indonesia

SOROT ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 35
Author(s):  
Mardiana Mardiana ◽  
Siti Nelva Anisa ◽  
Darma Yuda
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Financial Economic ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
The Exchange Rate

Impor pupuk dilakukan untuk memenuhi kebutuhan kebutuhan pupuk. Penelitian ini bertujuan untuk menganalisis pengaruh PDB dan nilai tukar sebagai determinan impor pupuk di Indonesia. Lokasinya berada di Indonesia, dengan periode penelitian 2004 hingga 2018. Data yang digunakan adalah data time series yang terdiri dari data nilai tukar, PDB, dan impor pupuk. Sumber data dalam penelitian ini adalah data yang dipublikasikan pada Statistik Ekonomi Keuangan Indonesia (SEKI). Laporan Statistik Kementerian Perdagangan dan laporan statistik perdagangan luar negeri untuk impor Indonesia dari publikasi Badan Pusat Statistik (BPS). Penelitian ini menggunakan metode ordinary least square (OLS) dengan analisis regresi linier berganda sebagai persamaannya. Kondisi impor pupuk di Indonesia cenderung menunjukkan fluktuatif. Namun, dalam beberapa tahun terakhir telah menunjukkan peningkatan. Secara bersamaan, PDB Indonesia dan nilai tukar mempengaruhi impor pupuk Indonesia. Namun secara parsial, impor pupuk Indonesia dipengaruhi secara positif dan signifikan oleh PDB. Sedangkan nilai tukar tidak berpengaruh signifikan terhadap impor pupuk Indonesia. Fertilizer imports are carried out to meet fertilizer needs. This study analyzes the effect of GDP and the exchange rate as determinants of fertilizer imports in Indonesia. The location is in Indonesia, with a research period from 2004 to 2018. The data used is time series data consisting of data on exchange rates, GDP, and fertilizer imports. The data source in this study is the data published in the Indonesian Financial Economic Statistics (SEKI). The Ministry of Trade's Statistical Report and foreign trade statistical reports for Indonesian imports from the publication of the Central Statistics Agency (BPS). This study uses the Ordinary Least Square (OLS) method with multiple linear regression analysis as the equation. Fertilizer import conditions in Indonesia tend to fluctuate. However, in recent years it has shown improvement. Simultaneously, Indonesia's GDP and the exchange rate affect Indonesia's fertilizer imports. However, partially, Indonesia's fertilizer imports are positively and significantly affected by GDP. Meanwhile, the exchange rate does not have a significant effect on Indonesia's fertilizer imports.

scholarly journals Faktor-Faktor yang Mempengaruhi Ekspor Karet Indonesia ke Malaysia Tahun 1983-2013

2018 ◽  
Vol 5 (4) ◽  
pp. 354-361
Author(s):  
Aini Kusrini ◽  
Arini Novandalina
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Least Square ◽  
Series Data ◽  
Rubber Plantation ◽  
Ordinary Least Square ◽  
Bargaining Position ◽  
The Government

Penelitian ini bertujuan untuk mendeskripsikan Faktor-faktor yang mempengaruhi ekspor karet Indonesia ke Malaysia. Data yang digunakan dalam penelitian ini adalah data sekunder. Dimana data yang diperoleh diwujudkan dalam bentuk angka dan analisis menggunakan metode statistika dan ekonometrika.  Penelitian ini menggunakan data runtut waktu (time series). Variabel dalam penelitian ini adalah luas areal lahan, produksi, dan kurs rupiah terhadap ekspor karet Indonesia ke Negara Malaysia.Data di analisis dengan metode kuantitatif. Metode analisis yang digunakan Ordinary Least Square (OLS) dengan menggunakan alat bantu sofware Eviews. Berdasarkan hasil yang diperoleh bahwa luas areal lahan,Produksi,Kurs pada analisis regresi liniear berganda berpengaruh Signifikan terhadap ekspor karet Indonesia ke Malaysia. Luas lahan berpengaruh terhadap ekspor sebesar 2.050, produksi berpengaruh terhadap ekspor sebesar 0.000368, Kurs berpengaruh terhadap ekspor sebesar 0.090. Hasil penelitian dapat diberi saran yaitu Sebaiknya pemerintah dan petani karet bekerjasama meminimalisir pengalihan lahan karet, Pemberian subsidi bibit karet kepada petani karet dan Sebaiknya para eksportir mempelajari strategi dagang internasional sehingga selalu dalam posisi tawar yang baik dalam kondisi apapun. The purpose of this study to describe the factors influence of Indonesian rubber export to Malaysia. The data used in this secondary data. Where the data is obtained be formed in the form number and analysis using statistical and econometric methods. This study use time series data (time series) the variable in this study is the wide land of area, the production exchange rate againts Indonesia rubber export to the country of Malaysia. The data were analyzed with quantitative method. The method of analysis used ordinary least square  (OLS) using eviews software tool. Based on the results obtained that the wide land of area, exchange on multiple linear regression analysis significant influence in the Indonesia rubber export to Malaysia the land of area effect in export by 2050. The production amounted to 0.000368 impact to export, exchange rate effect in the export by 0090. The results of research can be given suggestions are: The government and rubber farmer should cooperate to minimize the shift of rubber plantation area, The providing subsidies the seed of rubber to the rubber farmer and  The exports should learning International trade strategy untill it is in a good bargaining position in any condition.

scholarly journals Analisis impor beras Indonesia

2020 ◽  
Vol 8 (2) ◽  
pp. 89-98
Author(s):  
Yulia Sani ◽  
Siti Hodijah ◽  
Rosmeli Rosmeli
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Quantitative Analysis ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Analysis Tools ◽  
Rice Price

This study aims to analyze the development of each variable and its effect on rice imports in Indonesia for the period 1998-2017. This research uses descriptive and quantitative analysis tools. The data used is time-series data or time series. To analyze this research, the "Ordinary Least Square (OLS) method was used. The results showed that the independent variables simultaneously had a significant effect on rice imports in Indonesia. Partially, the domestic rice price variable has a positive and significant effect on rice imports in Indonesia, the exchange rate variable has a negative and significant effect on rice imports in Indonesia and the GDP variable has a negative and significant effect on rice imports in Indonesia. Keywords: Rice imports, Exchange rate, The price of rice

scholarly journals Pengaruh Variabel Makroekonomi Terhadap Indeks Harga Saham Gabungan (Studi pada Indeks Harga Saham Gabungan di Bursa Efek Indonesia Periode 2014-2018)

2019 ◽  
Vol 8 (2) ◽  
pp. 75
Author(s):  
Rina R. Mamahit ◽  
Tinneke M. Tumbel ◽  
Joanne V. Mangindaan
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Negative Effect ◽  
The Exchange Rate

This research aims to determine whether the macroeconomic variables i.e., the exchange rate, inflation and BI rate simultaneously and partially influence Indonesia Composite Index at The Indonesia Stock Exchange (IDX). The approach in this study is a quantitative method, using multiple linear regression analysis. The data used are time series data from January 2014 until December 2018. The result indicates that exchange rates, inflation and BI together have a significant impact to Indonesia Composite Index. Individually, only the BI rate variable has a significant effect and has a negative effect to Indonesia Composite Index. The exchange rate and inflation had no significant effect to Indonesia Composite Index.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

scholarly journals ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yandiles Weya ◽  
Vecky A.J. Masinambow ◽  
Rosalina A.M. Koleangan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Activity ◽  
Time Series Data ◽  
Private Investment ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
North Sulawesi ◽  
The City

ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG Yandiles Weya, Vecky A.J. Masinambow, Rosalina A.M. Koleangan. Fakultas Ekonomi dan Bisnis, Magister Ilmu EkonomiUniversitas Sam Ratulangi, Manado ABSTRAKPada suatu periode perekonomian mengalami pertumbuhan negatif berarti kegiatan ekonomi pada periode tersebut mengalami penurunan. Kota Bitung periode tahun 2004-2014 mengalami pertumbuhan ekonomi yang fluktuasi. Adanya fluktuasi ini dapat dipengaruhi oleh investasi swasta, belanja langsung, dan penduduk Pertumbuhan ekonomi merupakan salah satu tolok ukur keberhasilan pembangunan ekonomi di suatu daerah. Pertumbuhan ekonomi mencerminkan kegiatan ekonomi. Pertumbuhan ekonomi dapat bernilai positif dan dapat pula bernilai negatif. Jika pada suatu periode perekonomian mengalami pertumbuhan positif berarti kegiatan ekonomi pada periode tersebut mengalami peningkatan. Sedangkan jikaTahun 2004-2014 yang bersumber dari Badan Pusat Statistik Provinsi Sulut dan Kota Bitung. Metode analisis yang digunakan adalah model ekonometrik regresi berganda double-log (log-log) dengan metode Ordinary Least Square (OLS). Penelitian ini bertujuan untuk mengetahui apakah perkembangan investasi swasta, belanja langsung, dan penduduk berpengaruh terhadap pertumbuhan ekonomi Kota Bitung. Data yang dipakai menggunakan data time series periodeHasil regresi model pertumbuhan ekonomi dengan persamaan regresinya yaitu  LPDRB  =  - 4,445    +  0.036 LINV  +  0.049 LBL  +  2,229 LPOP.  Dari hasil tersebutmenunjukkan perkembangan investasi swasta, belanja langsung dan penduduk berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi Kota Bitung.Kata Kunci :pertumbuhan ekonomi, belanja langsung, penduduk, regresi bergandaABSTRACT    The economy experienced a period of negative growth means economic activity in this period has decreased. Bitung-year period 2004-2014 economic growth fluctuations. These fluctuations can be influenced by private investment, direct spending, and population Economic growth is one measure of the success of economic development in an area. Economic growth reflects economic activity. Economic growth can be positive and can also be negative. If the economy experienced a period of positive growth means economic activity during the period has increased. Whereas if  years 2004-2014 are sourced from the Central Statistics Agency of North Sulawesi Province and Bitung. The analytical method used is an econometric model double-log regression (log-log) with Ordinary Least Square (OLS). This study aims to determine whether the development of private investment, direct spending, and population affect the economic growth of the city of Bitung. The data used using time series data period.    The results of the regression model of economic growth with the regression equation is LPDRB = - LINV 4.445 + 0.036 + 0.049 + 2.229 LPOP LBL. From these results show the development of private investment, direct expenditure and population positive and significant impact on economic growth of Bitung.Keywords: Economic growth, direct spending, population, regression.

Pengaruh pertumbuhan ekonomi, inflasi dan pengangguran terhadap tingkat kemiskinan di Sumatera Selatan

2019 ◽  
Vol 16 (1) ◽  
pp. 1-10
Author(s):  
Novegya Ratih Primandari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Linear Regression ◽  
Linear Regression Model ◽  
Time Series Data ◽  
Secondary Data ◽  
Poverty Rate ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square

This research aims to analyze effect of economic growth, inflation and Unemployment on the Rate of Poverty in the Province of South Sumatera. This research used secondary data in the form of time series data from 2001-2017. The method used quantitative approach by applying a linear regression model with OLS estimation Ordinary Least Square (OLS) method. The results of this study indicate that partially and simultaneously Economic Growth, Inflation and Unemployment have a significant effect on the Poverty Rate in the Province of South Sumatera.

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 PERTUMBUHAN EKONOMI TERHADAP KESEMPATAN KERJA DI PROVINSI SULAWESI TENGGARA

2018 ◽  
Vol 6 (2) ◽  
pp. 54
Author(s):  
Muhammad Nur Afiat
Keyword(s):  
Economic Growth ◽  
Quantitative Research ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Series Data ◽  
Employment Opportunities

This study was conducted with the aim to determine the effect of Economic Growth Rate on Employment Opportunities in Southeast Sulawesi Province 2000-2015. This research is a type of Quantitative research using secondary data in the form of time series data, ie from 2000-2015. Data source was obtained from Central Bureau of Statistics (BPS) and Bank Indonesia of Southeast Sulawesi Province. This study also uses multiple linear regression analysis tools with ordinary least square method (OLS) and then processed with application Eviews 8.0. The results of the study show that Economic Growth has a significant influence on Employment Opportunities in Southeast Sulawesi Province 2000-2015.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI VOLUME EKSPOR UDANG PUTIH (PENAEUS INDICUS) INDONESIA KE HONGKONG SERTA IMPLIKASI KEBIJAKANNYA

2018 ◽  
Vol 5 (1) ◽  
pp. 1-24
Author(s):  
Betrix Silitonga ◽  
Manuntun Parulian Hutagaol
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Least Square Method ◽  
Least Square ◽  
Nominal Exchange Rate ◽  
White Shrimp ◽  
Series Data ◽  
Selling Price ◽  
Ordinary Least Square ◽  
Penaeus Indicus

This study aimed to analyze the factors that affect the volume of Indonesian exports of white shrimp (Penaeus indicus) to Hongkong and to formulate policies that can increase the volume of exports. Ordinary Least Square method (OLS) is used to analyze the factors that affect the volume of Indonesian white shrimp exports to Hongkong by time series data (time series) period of the last 24 years (1990 until 2013). All independent variables that have significant influence on the volume of Indonesian exports of white shrimp, which are: Hongkong population, Hongkong GDP per capita constant 2005, the nominal selling price of white shrimp Indonesia to Hongkong, the nominal selling price of white shrimp competitor to Hongkong, the nominal exchange rate of the Indonesian to Hongkong and Indonesian economic crisis in 1998 (dummy). Key words: Hongkong, Ordinary Least Square (OLS), the export volume, the white shrimp (Penaeus indicus)

scholarly journals PENGARUH SUBSIDI BBM TERHADAP IMPOR MINYAK BUMI PERIODE 1980 – 2013

2017 ◽  
Vol 18 (1) ◽  
pp. 30
Author(s):  
Riwi Sumantyo ◽  
Puji Lestari
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Time Series Data ◽  
Data Use ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Independent Variables ◽  
Fuel Subsidies ◽  
The Exchange Rate ◽  
The Government

The study on the effect of fuel subsidies toward oil import is a controversial topicdiscussions. This study will explore the effect of fuel subsidies on oil import by addingseveral independent variables, consist of; the number of vehichles, the exchange rateand inflation. Data use time series data from 1980-2013. The tool of analyze is OrdinaryLeast Squares Method (OLS).Based on the results show that the simultaneous testexplains that the fuel subsidies, the number of vehichles, the exchange rate, and inflationhave a significant effect on oil import. However partially, the variables of fuel subsidies,the number of vehichles, and the exchange rate have a positive and significant effecton oil import. Inflation does not affect on oil import. The coefficient of determinationuses Adjusted R-square test is about 98%. The implication of this study is governmentscan increase oil production Indonesia. The government should facilitate the licensing ofinvestment and rejuvenate the old oil wells. It aims to reduce Indonesia dependence onoil import so that it can save foreign exchange reserves.

Sign in / Sign up

Export Citation Format

Share Document