scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI EKSPOR KOMIDITI NON MIGAS DI INDONESIA TAHUN 1985-2017

2019 ◽  
Vol 2 (3) ◽  
pp. 128
Author(s):  
Rauzatul Ulfa ◽  
Devi Andriyani
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Oil And Gas ◽  
Secondary Data ◽  
Regression Method ◽  
Linear Regression Method ◽  
Factors Affecting ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
The Relationship

This study aims to analyze the Factors Affecting Non-Oil and Gas Commodity Exports in Indonesia in 1985-2017. The data used in this study are secondary data obtained from www.bps.go.id. The method used to analyze the relationship between the independent variables and the dependent variable is the multiple linear regression method. The results of the study partially showed that economic growth had a positive and significant effect on the exports of non-oil and gas commodities in Indonesia, the exchange rate and inflation did not affect the exports of non-oil and gas commodities in Indonesia. Simultaneously, the rate of economic growth and inflation had a positive and significant effect on non-oil and gas commodity exports in Indonesia.

scholarly journals ANALYSIS OF FACTORS AFFECTING THE PRICE FLUCTUATION OF CAYENNE PEPPER IN MALANG REGENCY

2021 ◽  
Vol 5 (1) ◽  
pp. 19-26
Author(s):  
Nurul Laili ◽  
Sri Hindarti ◽  
Dwi Susilowati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Commodity Prices ◽  
Secondary Data ◽  
Regression Method ◽  
Linear Regression Method ◽  
Factors Affecting ◽  
Independent Variables ◽  
Multiple Linear Regression Method

 This study aims to 1) Analyze the pattern of changes in commodity prices for spanish pepper in Malang District. 2) Analyzing the factors that influence fluctuations in the price of spanish pepper in Malang District. The research method used is quantitative method that uses secondary data in the form of time series obtained from several related agencies, namely the Central Statistics Agency of Malang District, Department of Industry and Trade, and Department of food crops, horticulture, and plantation in Malang District. Analysis of the data used is multiple linear regression with the dependent variable is the price at the consumer level from 2009-2018, while the independent variables use the data of the price of spanish pepper at the producer level, the amount of production, and the amount of consumption from 2009-2018. The study found that: 1) The development of the price of spanish pepper had a trend that tended to increase during the last 10 years. 2) From the results of data processing using multiple linear regression method with Eviews 9.0 application, it is found that the factor that significantly influences changes in the price of spanish pepper is the price at the producer level, while the amount of production of spanish pepper and the number of requests does not significantly affect the change in spanish pepper prices in Malang District. 

scholarly journals Analisis pengaruh pertumbuhan ekonomi, indeks pembangunan manusia (IPM) dan upah minimum provinsi (UMP) terhadap kemiskinan di Kabupaten Merangin

2019 ◽  
Vol 8 (1) ◽  
pp. 53-64
Author(s):  
Nadya Agustin ◽  
M Syurya Hidayat ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Minimum Wage ◽  
Secondary Data ◽  
Regression Method ◽  
Linear Regression Method ◽  
Analysis Tool ◽  
Poverty Level ◽  
Multiple Linear Regression Method ◽  
Data Analysis Tool ◽  
Poverty Levels

This study aims to analyze: 1) The effect of economic growth, HDI, and Provincial minimum wage (PMW) on poverty levels in Merangin Regency. 2) The effect of economic growth, HDI, and PMW on the depth of poverty in Merangin Regency. 3) The effect of economic growth, HDI, and PMW on the severity of poverty in Merangin Regency. The data used are secondary data during the period 2002-2017. Data analysis tool using multiple linear regression method. Based on the results of the analysis, it is known that: 1) Simultaneously, economic growth, HDI, and PMW have a significant effect on the level, depth, and severity of poverty in Merangin Regency. 2) Partially economic growth has a significant effect on the level, depth, and severity of poverty in Merangin Regency, 3) HDI partially has a significant effect on the level, depth, and severity of poverty in Merangin Regency. 4) The PMW partially has a significant effect on the poverty level, but the PMW has no significant effect on the depth and severity of poverty in Merangin Regency. Keywords: Poverty, Economic growth, HDI,Provincial minimum wage(PMW)

scholarly journals TINGKAT SUKU BUNGA DAN KREDIT MACET PENGARUHNYA TERHADAP PERMINTAAN KREDIT UMKM DI PASAMAN BARAT (STUDI KASUS KSU LKMA KAMPUNG SOLOK SAIYO NAGARI MUARA KIAWAI )

2018 ◽  
Author(s):  
oktaviani ◽  
Muhammad Rivandi
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Multiple Linear Regression ◽  
Secondary Data ◽  
Regression Method ◽  
Linear Regression Method ◽  
Factors Affecting ◽  
Multiple Linear Regression Method ◽  
Main Factors

The main factors affecting demand for credit are high and fixed interest rates that make it difficult for members to pay their loans and result credit given by KSU LKMA Kampung Solok Saiyo to be stuck. The purpose of this research is to know the effect of interest rate and bad credit on request of credit umkm at KSU LKMA Kampung Solok Saiyo. This research was conducted at KSU LKMA Kampung Solok Saiyo Nagari Muara Kiawai Gunung Tuleh District Pasaman Barat Regency. The type of data used in this study is secondary data sourced from credit reports contained in KSU LKMA Kampung Solok Saiyo with the number of samples of forty-eight. This data is analyzed by multiple linear regression method. From the results of this study found that interest rates and bad loans have a negative and significant effect on the demand for credit umkm in PasamanBarat.

scholarly journals Aplikasi Regresi Linier Berganda Pada Hubungan Kepadatan Hunian Dan Perilaku Menguras Bak Mandi Dengan Kejadian Penyakit Malaria Di Indonesia

2017 ◽  
Vol 4 (2) ◽  
pp. 34
Author(s):  
Endang Yuswatiningsih
Keyword(s):  
Linear Regression ◽  
Error Variance ◽  
Variable Density ◽  
Regression Method ◽  
Linear Regression Method ◽  
Test Results ◽  
Independent Variables ◽  
Multiple Linear Regression Method ◽  
The Relationship ◽  
Distribution Error

The purpose of this research is to modelize the relationship between density residential and the behavior of tub drain with the incidence of malaria in Indonesia. This research used multiple linear regression method with 1 dependent variable and 2 independent variables. The assumption multiple linier regression is an error followed a normal distribution, error variance is homoskedastisitas, no autocorrelation problem and there was no problem of multicollinearity between independent variables. The result showed that all assumptions of multiple linier regression were fulfilled. Overall test results by using F statistic was obtained value of p = 0,001 < 0,05 (alpha) it meant that at least one variable density residential or behavior of tub drain which had a significant effect on the incidence of malaria. The test results partly by using t statistics was obtained value of p variable density residential was 0,001 ; 0,05 which meant that density residential had effect on the incidence of malaria and value of p for the behavior of tub drain variable was 0,980 ; 0,05 which meant that the behavior tub drain had no effect on the incidence of malaria; Keywords : multiple linier regression, density residential, behavior, malaria

scholarly journals Faktor-Faktor Penyebab Utang Luar Negeri dan Dampaknya Terhadap Pertumbuhan Ekonomi Indonesia

2021 ◽  
Vol 21 (1) ◽  
pp. 21
Author(s):  
Nunu Nugraha ◽  
Kamio Kamio ◽  
Diah Setyorini Gunawan
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Government Spending ◽  
Foreign Debt ◽  
External Debt ◽  
Regression Method ◽  
Debtor Country ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method ◽  
The Impact

This research aims to examine and analyze the effect of government spending, exchange rate, and Debtor economic growth on Indonesia's foreign debt, as well as the impact of external debt on economic growth. The tools of the analysis in this research used multiple linear regression method and use test (t-test and F-test). The result of study indicated government expenditures have a significant effect on foreign debt while debtor country exchange rate and economic growth have no significant effect on external debt. Simultaneously government spending, debt country,  exchange rate and economic growth significantly affected Indonesia's foreign debt in 2001-2017. Meanwhile, foreign debt has  significant effect on economic growth in Indonesia in 2001-2017.

scholarly journals PENGARUH EKSPOR MIGAS, PENANAMAN MODAL ASING, UTANG LUAR NEGERI, DAN INFLASI TERHADAP PERTUMBUHAN EKONOMI INDONESIA

2021 ◽  
pp. 1063
Author(s):  
Insyai Rina Warer ◽  
Ni Putu Wiwin Setyari
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Linear Regression ◽  
Foreign Investment ◽  
Research Method ◽  
Oil And Gas ◽  
Foreign Debt ◽  
Regression Method ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method

This study aims to analyze the partial and simultaneous effect of oil and gas exports, foreign investment, foreign debt and inflation on Indonesia's economic growth in 1975-2019. The research method uses a quantitative approach which will be explained associatively. The data analysis used is multiple linear regression method as an econometric tool to describe the characteristics of a sample or observed location with the help of SPSS 26 for windows. The results of the study prove that partially oil and gas exports, foreign debt, and inflation affect Indonesia's economic growth. Meanwhile, foreign investment has no effect on Indonesia's economic growth. Simultaneously, the variables of oil and gas exports, foreign investment, foreign debt and inflation affect Indonesia's economic growth. This is supported by the R2 value of 0.599 which means that 59.9 percent of the variation in economic growth is influenced by oil and gas exports, foreign investment, foreign debt and inflation, while the remaining 40.1 percent is influenced by other factors not included in the model.

scholarly journals PENGARUH HARGA MINYAK DUNIA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA (MODERASI VARIABEL MONETER)

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Wilda Novita Sari ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Exchange Rate ◽  
Data Analysis ◽  
Secondary Data ◽  
Oil Prices ◽  
Analysis Tool ◽  
Data Analysis Tool ◽  
The Exchange Rate ◽  
The Relationship

Abstract: The purpose of this research is to be able to determine the effect of world oil prices on economic growth in Indonesia by applying the exchange rate moderating variable and the BI rate as a connecting variable. Descriptive and associative research is a type of research that is used with data collection techniques through a trusted official agency website that is classified in the quarterly time series secondary data. The data year in this study was from 2006 to 2018. Data analysis was carried out through descriptive and inductive analysis with a Moderated Regression Analysis (MRA) data analysis tool accompanied by a classic assumption test and a t test. Estimation results show that there are two research results; firstly, that the exchange rate has an effect on moderating the relationship between world oil prices and economic growth in Indonesia, secondly, that the BI rate has no influence connecting world oil prices and economic growth in Indonesia. Keywords: World oil prices, economic growth, exchange rates, BI rate, Moderated Regression Analysis (MRA).

KEPUTUSAN PEMBELIAN DITINJAU DARI KUALITAS PRODUK, CITRA MEREK DAN FASILITAS PADA ABATA DONUT’S SURAKARTA

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Sandra Amelinda Kundari
Keyword(s):  
Linear Regression ◽  
Product Quality ◽  
Brand Image ◽  
Regression Method ◽  
Purchase Decision ◽  
Linear Regression Method ◽  
Purchasing Decisions ◽  
Independent Variables ◽  
Test Product ◽  
Multiple Linear Regression Method

Competition in the culinary business is currently required for business actors to have a strategy that is able to attract and retain consumers for the sustainability of their company. This study aims to test product quality, brand image and facilities simultaneously influence Abata Donut's purchasing decisions. The sample research sample is 100 consumers accidental sampling with multiple linear regression method. The results of the research on product quality, brand image and facilities simultaneously and partially have a significant effect on Abata Donut's purchasing decisions. The contribution of the three independent variables can explain the purchase decision by 42.9% and the rest is influenced by other variables. Keywords: product quality; brand image; facilities; customer satisfaction

scholarly journals PENGARUH KOMPETENSI TERHADAP KINERJA KARYAWAN PADA PT. BANK DANAMON INDONESIA, TBK CABANG SIMPANG PASAR BAWAH

2019 ◽  
Vol 10 (3) ◽  
pp. 339-349
Author(s):  
Nana Dianita
Keyword(s):  
Performance Analysis ◽  
Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Linear Regression Equation ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Close Relationship ◽  
And Performance ◽  
The Relationship

The purpose of this study was to determine the effect of competence on the performance of employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. The sample in this study were all employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah totaling 34 people. While the variables studied in this research is the competence and performance. Analysis of data using simple linear regression method using validity, reliability, R2 and t test. The tests are conducted to determine the relationship between the independent variables (independent variables) and dependent variable (dependent variable). Based on research results the effect of competence on the performance of employees with correlation value R = 0,656 which indicates a close relationship between the effect of competence on the performance of employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. While the R-square at 0,430 which can competence has contributed of 43% to the performance of employees at . Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. Partially acquired competence variable positive and significant effect on the performance employees at . Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah with simple linear regression equation as follows: Y = 18,342 + 0,627X significantly smaller 0,000 than alpha 0,05. The conclusion of this study that partial hypothesis between variables competence on performance employees is proven and can be accepted as true

scholarly journals Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

2021 ◽  
Vol 9 (9) ◽  
pp. 1088-1092
Author(s):  
Hamed Nazerian
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Multivariate Linear Regression ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method ◽  
Spss Software ◽  
Exploration Area ◽  
The Relationship ◽  
South Khorasan

Abstract: The study area is located in Sarbisheh city in South Khorasan province, Iran. Copper estimation was performed by multivariate linear regression method to facilitate the use of previous analyses to predict this element in other areas, reduce costs and also reduce the number of samples. For this purpose, by obtaining a basic formula from estimating the amount of Cu with one of the promising points samples, the amount of copper in other parts of the exploration area was investigated. Several analyses were taken from the exploratory area after calculations to validate the regression. The regression results of new and old data were compared and estimation acceptable. These calculations were performed by SPSS software, according to the four elements Ca, Al, P, S, the results obtained and the relationship presented has acceptable validity. Keywords: Multivariate linear regression, Cu estimation, SPSS, Iran.

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