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 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 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 Analisis pengaruh keadaan ekonomi makro terhadap investasi Asuransi Jiwa Syariah di Indonesia tahun 2010 – 2019

2020 ◽  
pp. 37-53
Author(s):  
Khalish Khairina
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Significant Influence ◽  
Life Insurance ◽  
Time Series Data ◽  
Composite Index ◽  
T Test ◽  
Least Square ◽  
Series Data ◽  
Independent Variables

This study aims to analyze the effect of Inflation, Exchange Rate, BI Interest Rate, Indonesia Composite Index on Sharia Insurance Life in Indonesia.  Data used is time series data for 10 years (2010-2019) and analyzed by using Eviews 10. This research using quantitative descriptive method, and to analyze the effect of independent variables toward dependent variables using Ordinary Least Square technique. The result of t – test shows Inflation, Exchange Rate, Indonesia Composite Index have significant influence to Sharia Life Insurance Investment in Indonesia that t –test < 0,05 and Interest Rate doesn’t influence to Sharia Life Insurance Investment in Indonesia with t – test > 0,05. However, independent variables has a significant influence with the result of F test 0,000002 < 0,05 and Adjusted R-Squared test shows that 99,41 %  of Sharia Life Insurance Investment in Indonesia is influenced by independent variables in this research

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.

scholarly journals ANALISIS PENGARUH INVESTASI ASING LANGSUNG (FDI) DAN INVESTASI DALAM NEGERI TERHADAP PERTUMBUHAN EKONOMI INDONESIA

2017 ◽  
Vol 2 (1) ◽  
pp. 54-68
Author(s):  
Firdaus Jufrida ◽  
Mohd. Nur Syechalad ◽  
Muhammad Nasir
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Multiple Regression Model ◽  
Least Square ◽  
Series Data ◽  
Domestic Investment ◽  
Ordinary Least Square

This study aims to analyze the effect of foreign direct investment (FDI) and domestic investment on Indonesian economic growth. The data used was time series data on Indonesian economy from year. Furthermore, the analysis was conducted with quantitative method using Ordinary Least Square (OLS) regression method with multiple regression model. The result shows that Foreign Direct Investment (FDI) has a positive but not significantly affected Indonesia economic growth, while Domestic Investment has a positive significant effect on Indonesian economic growth. Based on the research results, it is recommended that the Indonesia government has to maintain the stability of economic variables that can stimulate foreign and domestic investment in order to achieve sustainable economic growth.Penelitian ini bertujuan untuk menganalisis pengaruh investasi asing langsung (FDI) dan investasi domestik pada pertumbuhan ekonomi Indonesia. Data yang digunakan adalah data time series pada perekonomian Indonesia dari tahun. Selanjutnya, analisis dilakukan dengan metode kuantitatif dengan menggunakan metode regresi Ordinary Least Square (OLS) dengan model regresi berganda. Hasil penelitian menunjukkan bahwa Foreign Direct Investment (FDI) memiliki positif tetapi tidak pertumbuhan ekonomi secara signifikan mempengaruhi Indonesia, sedangkan PMDN memiliki efek positif yang signifikan terhadap pertumbuhan ekonomi Indonesia. Berdasarkan hasil penelitian, disarankan agar pemerintah Indonesia harus menjaga stabilitas variabel ekonomi yang dapat merangsang investasi asing dan domestik dalam rangka mencapai pertumbuhan ekonomi yang berkelanjutan.

scholarly journals MACROECONOMIC DETERMINANTS OF NON-PERFORMING LOANS (NPL): EVIDENCE FROM PAKISTAN

2013 ◽  
Vol 1 (2) ◽  
pp. 59-72
Author(s):  
Altaf Hussain ◽  
Ambar Khalil ◽  
Maryam Nawaz
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Negative Relationship ◽  
Secondary Data ◽  
Least Square ◽  
Energy Crisis ◽  
Series Data ◽  
Share Prices ◽  
Independent Variables

This analytical study investigates the determinants of non-performing loan in Pakistan. Secondary data is used in this study. The data is collected through World Bank Databank, international financial statistics and various issues of economic survey of Pakistan. The issue of Non-Performing Loan is one of the clusters of financial problems in Pakistan. No one can deny the importance of financial sector in any economy. In this study we find the macroeconomic factor that surge the NPL. We also suggest some strategies to cutback the non-performing loans. Current study uses the time series data of Pakistan, ranging from 1990 to 2013. Ordinary least square (OLS) method is used to investigate the problem. The dependent variable is non-performing loan and independent variables are exchange rate, interest rate, GDP, share prices, energy crisis, exchange rate and energy crisis. GDP has significant relationship with NPL and interest rate, share prices have insignificant relationships with NPL. A positive link has established between non-performing loans and various independent variables like energy crisis, exchange rate, interest rate, share prices. But on the other hand a negative relationship has been found between dependent variable and GDP.

scholarly journals ANALISIS PERMINTAAN MINYAK PELUMAS PERTAMINA DI KOTA BANDA ACEH

2017 ◽  
Vol 3 (1) ◽  
pp. 85-100
Author(s):  
Saiful Badli
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Linear Equations ◽  
Secondary Data ◽  
Free Variable ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Center Board ◽  
Banda Aceh

This study is aimed to know the influence of price, substitution price, consumer income, and the number of vehicles toward the order of Pertamina lubricant in Banda Aceh. For the analysis purpose, multiple regression analysis is used.This research used time series data which was started from 1991 until 2015. The data was a secondary data taken from the Statistic Center Board of Pertamina, and from related institution as well as from various types of sources related to this research. The model used was Marshallian Linear Request function which was analyzed by multiple linear equations through Ordinary Least Square (OLS) approach.This research produced a satisfying result. This was seen from simultaneous and partial examination whereas all free variables in this research impacted significantly toward the order of the lubricant under Mesran trademark. Based on the estimation, price variable was resulting negative, meanwhile substitution price, consumer income and the number of vehicles were resulting positive toward the order of the lubricant of Mesran trademark. This result matched the existing theory. The 94,89 percent determinant coefficient (R2) means that free variable which consisted of variable of Mesran lubricant, substitution price, consumer income, and the number of vehicles were able explain the changes of the order of Mesran lubricant for approximately 94,89 percent, while the remaining 5,51 percent was explained by other variables, such as desire, model, and consumer income distribution, etc., which were excluded of this research model.Pertamina should keep enough supply of lubricant to maintain its normal price in Banda Aceh.Artikel ini bertujuan adalah untuk mengetahui pengaruh harga, harga pengganti, pendapatan dan jumlah kendaraan terhadap permintaan pelumas pertamina di Kota Banda Aceh. Dalam Analisisnya digunakan analisis regresi linear berganda (Multiple Regressions).Penelitian ini menggunakan data time series dimulai dari tahun 1991 sampai dengan 2015. Jenis data adalah data sekunder yang diperoleh dari Badan Pusat Statistik, Pertamina, , dan intansi terkait lainnya serta dari berbagai sumber dan literatur lain yang ada kaitannya dengan penelitian ini. Model yang digunakan adalah fungsi Permintaan Linear Marshallian, dianalisis dengan dengan persamaan linear berganda melalui pendekatan OLS (Ordinary Least Square).Hasil estimasi menunjukkan hasil yang memuaskan ini terlihat baik dari pengujian secara simultan maupun secara partial, dimana semua variabel bebas dalam penelitian ini berpengaruh signifikan terhadap permintaan pelumas merek mesran. Berdasarkan hasil estimasi variabel harga berpengaruh negatif dan harga pengganti, pendapatan dan jumlah kendaraan berpengaruh positif terhadap permintaan pelumas merek mesran, hal ini sesuai dengan teori. Koefisien determinan adjusted (R2 ) sebesar 94,89 persen yang artinya variabel bebas yang terdiri dari variabel harga pelumas merek Mesran, harga pengganti, pendapatan dan jumlah kendaraan mampu menjelaskan variasi perubahan permintaan minyak pelumas merek Mesran sebesar 94,49 persen dan sisanya sebesar 5,51 persen dijelaskan oleh variabel lainnya diluar model penelitian ini seperti selera, corak dan distribusi pendapatan dalam masyarakat dan lain- lain.Pertamina harus mengupayakan suplai pelumas di Kota Banda Aceh selalu tersedia cukup, hal ini dilakukan untuk menjaga kestabilan harga pelumas itu sendiri.

Sign in / Sign up

Export Citation Format

Share Document