scholarly journals Pengaruh penanaman modal dalam negeri, upah minimum dan belanja modal terhadap daya serap tenaga kerja di Provinsi Jambi

2019 ◽  
Vol 14 (1) ◽  
pp. 37-44
Author(s):  
Rizki Kenraraswati ◽  
M. Syurya Hidayat ◽  
Yohanes Vyn Amzar
Keyword(s):  
Time Series ◽  
Multiple Regression ◽  
Minimum Wage ◽  
Regression Models ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Series Data ◽  
Domestic Investment ◽  
Average Growth ◽  
Multiple Regression Models

The study aims to analyze the effect of domestic investment (PMDN), minimum wage (UMP) and capital expenditure (BM) on employment absorption in Jambi Province. The data used is time series data of Jambi Province during the period 2000-2016. Data were analyzed descriptively as well as multiple regression models. The results of the study found that: 1) the average growth of employment is 3.11percent per year, domestic investment is 11.67 percent per year, UMP is 16.44 percent per year and capital expenditure is 20.00 percent per year; 2) Simultaneously PMDN, UMP and BM have a significant effect on employment in Jambi Province. Partially the BM variable does not have a significant effect while the PMDN and UMP variables have a significant effect on employment in Jambi Province.

scholarly journals Factors Influencing Indonesia’s Cashew Export Volume

Agriekonomika ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 205-214
Author(s):  
Oni Ringgu Lero ◽  
Agnes Quartina Pudjiastuti ◽  
Sumarno Sumarno
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Influencing Factors ◽  
Regression Models ◽  
Time Series Data ◽  
Series Data ◽  
Factors Influencing ◽  
Multiple Regression Models ◽  
Export Volume ◽  
Per Capita

Cashews contribute significantly to the Indonesian economy because it is one of the exporting countries. However, volume of exports tends to fluctuate, so it is necessary to identify the influencing factors. This study aims to analyze volume of Indonesian cashew exports and its determinants. Time series data for 8 variables during 1985–2016 were analyzed descriptively by multiple regression models. The results again show fluctuations in export volume and value over 1985–2016 period. Lowest export volume occurred in 1989, but its value was in 1985. Highest export volume and value occurred in 2015. National cashew export volume depends on the domestic cashew price, exchange rate and income per capita. Peanuts and coffee have a complementary relationship with cashews, while sugar has a substitution relationship with this commodity. Cashews are an inferior goods.

scholarly journals Pengaruh Investasi Asing dan Investasi Dalam Negeri Terhadap Perekonomian Indonesia

2020 ◽  
Vol 12 (1) ◽  
pp. 137-145
Author(s):  
Herman Kambono ◽  
Elyzabet Indrawati Marpaung
Keyword(s):  
Time Series ◽  
Multiple Regression ◽  
Foreign Investment ◽  
Quantitative Methods ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Independent Variable

Abstract This study aims to analyze the effect of Foreign Investment and Domestic Investment on the Indonesian Economy. The data used is Indonesian macroeconomic time series data. In the next stage, the analysis was carried out using quantitative methods including: Ordinary Least Square (OLS) Regression Method with Multiple Regression models, and the Coefficient ofDetermination (R2).As for the results of this study later, it can be seen how much influence the independent variable has on the dependent variable. And how big is the percentage of the variation of the independent variable to the dependent variable or the dependent variable   Keywords: Domestic Investment, Foreign Investment and the Economy Indonesia.   Abstrak Penelitian ini bertujuan untuk menganalisis pengaruh Investasi Asing dan Investasi Dalam Negeri terhadap Perekonomian Indonesia. Data yang digunakan adalah data time series makro ekonomi Indonesia. Pada tahap selanjudnya, analisis dilakukan dengan menggunakan metode kuantitatif antara lain: Metode Regresi Ordinary Least Square (OLS) dengan model Regresi Berganda (Multiple Regression), dan Koefisien Determinasi (R2).Adapun hasil dari penelitian ini nantinya, dapat dilihat seberapa besar pengaruh variable bebas terhadap variable tidak bebasnya. Dan seberapa besar prosentasi variasi variable bebas terhadap variable terikat atau variable tidak bebasnya. Kata Kunci: Investasi Dalam Negeri, Investasi Luar Negeri dan Perekonomian Indonesia

Forecasting Rice Production in West Bengal State in India

2013 ◽  
Vol 4 (4) ◽  
pp. 68-91 ◽  
Author(s):  
Arindam Chaudhuri
Keyword(s):  
Time Series ◽  
Multiple Regression ◽  
Computational Intelligence ◽  
Time Series Data ◽  
Rice Production ◽  
Productivity Index ◽  
Series Data ◽  
Support Vector ◽  
Production Time ◽  
Inference System

Forecasting rice production is a challenging problem in agricultural statistics. The inherent difficulty lies in demand and supply affected by many uncertain factors viz. economic policies, agricultural factors, credit measures, foreign trade etc. which interact in a complex manner. Since last few decades, Statistical techniques are used for developing predictive models to estimate required parameters. Determination of nature of rice production time series data is difficult, expensive, time consuming and involves tedious tests. In this paper, we use Interval Type Fuzzy Auto Regressive Integrated Moving Average (ITnARIMA), Adaptive Neuro Fuzzy Inference System (ANFIS) and Modified Regularized Least Squares Fuzzy Support Vector Regression (MRLSFSVR) for prediction of Productivity Index percent (PI %) of rice production time series data and compare it with traditional Statistical tool of Multiple Regression. The accuracies of ITnARIMA and ANFIS techniques are evaluated as relatively similar. It is found that ANFIS exhibits high performance than ITnARIMA, MRLSFSVR and Multiple Regression for predicting PI %. The performance comparison shows that Computational Intelligence paradigm is a promising tool for minimizing uncertainties in rice production data. Further Computational Intelligence techniques also minimize potential inconsistency of correlations.

scholarly journals ANALISIS PERAN BELANJA MODAL DAN INVESTASI SWASTA TERHADAP PERTUMBUHAN EKONOMI SERTA DAMPAKNYA PADA KESEJAHTERAAN MASYARAKAT

2019 ◽  
Vol 20 (1) ◽  
pp. 26
Author(s):  
Akhlis Priya Pambudy ◽  
Muhamad Imam Syairozi
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Sustainable Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Private Investment ◽  
Public Welfare ◽  
Series Data ◽  
The Impact

The purpose of economic development is to improve public welfare. Many factors influenceeconomic growth, including sustainable development. This study is aimed to analyze the impactof capital expenditure and private investment on economic growth of the regency/municipalduring the period of 2010-2015 as well as the impact of economic growth on public welfareproxied by the human development index figures. Using WarpPLS, used purposive samplingmethode, testing is done for the 415 autonomous regional and 93 autonomous municipalsin Indonesia using time series data 2010-015. The results of this study shows that capitalexpenditure positively effect economic growth as well as private investment has positive effecton economic growth. Furthermore, the economic growth has been proven to improve publicwalfare.Keywords: capital expenditure, private investment, economic growth, public welfare

scholarly journals The Analysis of the Impact of GDP, FDI, Minimum Wage on Employment in Indonesia

2019 ◽  
Vol 2 (2) ◽  
pp. 53-62
Author(s):  
Thomson Sitompul ◽  
Yansen Simangunsong
Keyword(s):  
Minimum Wage ◽  
Direct Investment ◽  
Regression Models ◽  
Time Series Data ◽  
Minimum Wages ◽  
Series Data ◽  
Economic Sector ◽  
Linear Regression Models ◽  
The Impact ◽  
Multiple Linear Regression Models

Unlike the previous study in determinant of labor absorption, which focused on economic sector and took up regional scope, this paper examines the impact of Gross Domestic Product, Foreign Direct Investment and Minimum Wages on labor absorption in Indonesia which take the national scope and aggregate labor by using secondary series of time series data (1990-2015). This study contributes to the limited literature on aggregate employment and national scope as the impact of the minimum wage, GDP, FDI in developing countries, especially in Indonesia. By using multiple linear regression models, surprisingly, we find that GDP and Minimum Wages have a positive and significant impact to increase employment while FDI  does not affect employment in Indonesia.

F. ANALISIS PENGARUH PAD DAN DAK TERHADAP BELANJA MODAL PROVINSI JAWA TIMUR TAHUN 2010-2019

2021 ◽  
Vol 4 (1) ◽  
pp. 61
Author(s):  
Putri Indah Sari ◽  
Dr. Ignatia Martha Hendrati, S.E., M.E. ◽  
Kiki Asmara,S.E.,MM
Keyword(s):  
Time Series ◽  
Local Governments ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Capital Expenditures ◽  
Positive Effect

Abstrak Undang-Undang Nomor 32 Tahun 2004 tentang Otonomi daerah atau Desentralisasi menjelaskan bahwa kewajiban pemerintah daerah dalam mengendalikan daerahnya sesuai dengan aturan dan undang-undang yang berlaku. Pengalokasian Anggaran Belanja Modal didasarkan pada kebutuhan sarana dan prasarana daerah, anggaran Belanja Modal sebaiknya dialokasikan untuk hal-hal yang produktif. Sehingga, pemerintah daerah harus mampu mengalokasikan anggaran belanja modal dengan benar karena hal itu merupakan salah satu langkah pemerintah daerah dalam meningkatkan pelayanan publik. Penelitian ini bertujuan untuk menguji pengaruh dari Pendapatan Asli Daerah (PAD)  dan Dana Alokasi Khusus (DAK) terhadap Belanja Modal Provinsi Jawa Timur. Penelitian ini menggunakan analisis data time series Tahun 2015-2019 di Provinsi Jawa Timur. Data yang digunakan merupakan data sekunder yang diperoleh dari Direktorat Jenderal Perimbangan Keuangan Republik Indonesia. Metode analisis yang digunakan adalah Analisis Regresi linier berganda, Uji koefisien Determinasi (R2), Uji-t dan Uji F dengan bantuan software SPSS. Dari hasil penelitian menunjukkan bahwa Pendapatan Asli Daerah dan Dana Alokasi Khusus secara (simultan) mempunyai pengaruh signifikan terhadap Belanja Modal di Provinsi Jawa Timur Tahun 2010-2019. Secara parsial 1) Pendapatan Asli Daerah berpengaruh positif terhadap Belanja Modal Provinsi Jawa Timur Tahun 2010-2019. 2) Dana Alokasi Khusus berpengaruh positif  variabel PAD berpengaruh positif terhadap Belanja Modal Provinsi Jawa Timur Tahun 2010-2019.   Kata kunci : Belanja Modal, PAD, dan DAK. Abstract Law Number 32 of 2004 concerning Regional Autonomy or Decentralization explains that the obligation of local governments to control their regions is in accordance with the applicable laws and regulations. The allocation of the Capital Expenditure Budget is based on the needs of regional facilities and infrastructure, the capital expenditure budget should be allocated for productive things. Thus, local governments must be able to allocate the capital expenditure budget properly because this is one of the steps of the local government in improving public services. This study aims to examine the effect of Regional Original Income (PAD) and Special Allocation Funds (DAK) on the Capital Expenditure of East Java Province. This study uses time series data analysis 2015-2019 in East Java Province. The data used is secondary data obtained from the Directorate General of Fiscal Balance of the Republic of Indonesia. The analytical method used is multiple linear regression analysis, coefficient of determination (R2), t-test and F test with the help of SPSS software. The results of the study indicate that the Regional Original Income and the Special Allocation Funds (simultaneously) have a significant effect on capital expenditure in East Java Province in 2010-2019. Partially 1) Local Own Revenue has a positive effect on the Capital Expenditures of East Java Province in 2010-2019. 2) The Special Allocation Fund has a positive effect, the PAD variable has a positive effect on the Capital Expenditure of East Java Province in 2010-2019. Keywords: Capital Expenditures, PAD, and DAK

scholarly journals Multiple Regression Model Fitted for Rice Production Forecasting in Nepal: A Case of Time Series Data

2018 ◽  
Vol 2 ◽  
pp. 89-98
Author(s):  
Chuda Prasad Dhakal
Keyword(s):  
Time Series ◽  
Regression Model ◽  
Multiple Regression ◽  
Rural Population ◽  
Time Series Data ◽  
Multiple Regression Model ◽  
Rice Production ◽  
Series Data ◽  
Agricultural Labor ◽  
Production Forecasting

Background: Fitting a multiple regression model is always challenging and the level of difficulty varies according to the purpose for which it is fitted. Two major difficulties that arise while fitting a multiple regression model for forecasting are selecting 'potential predictors' from numerous possible variables to influence on the forecast variable and investigating the most appropriate model with a subset of the potential predictors.Objective: Purpose of this paper is to demonstrate a procedure adopted while fitting multiple regression model (with an attempt to optimize) for rice production forecasting in Nepal.Materials and Methods: This study has used fifty years (1961-2010) of time series data. A list of twenty-one predictors thought to impact on rice production was scanned based upon past literature, expert's hunches, availability of the data and the researcher's insight which left eleven possible predictors. Further, these possible predictors were subjected to family of automated stepwise methods which left five ‘potential predictors’ namely harvested area, rural population, farm harvest price, male agricultural labor force and, female agricultural labor force. Afterwards, best subset regression was performed in Minitab Version 16 which finally left three 'appropriate predictors' that best fit the model namely harvested area, rural population and farm harvest price.Results: The model fit was significant with p < .001. Also, all the three predictors were found highly significant with p < 0.001. The model was parsimonious which explained 93% variation in rice production with 54% overlapping predictive work done. Forecast error was less than 5%.Conclusion: Multiple regression model can be used in rice production forecasting in the country for the enhanced ease and efficiency.Nepalese Journal of Statistics, Vol. 2, 89-98

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 Pengaruh Pendapatan Asli Daerah dan belanja modal terhadap pertumbuhan ekonomi Provinsi Kepulauan Bangka Belitung tahun 2009-2018

SOROT ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 105
Author(s):  
Muhammad Dedy Palguno ◽  
Devi Valeriani ◽  
Suhartono Suhartono
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Series Data ◽  
Test Results ◽  
Important Indicator ◽  
Goods And Services ◽  
Local Revenue

Pertumbuhan Ekonomi adalah salah satu indikator penting untuk melihat keberhasilan pembangunan ekonomi pada suatu negara atau daerah. Suatu perekonomian dikatakan mengalami pertumbuhan ekonomi jika jumlah produksi barang dan jasanya meningkat dan produk domestik regional bruto merupakan salah satu indikator penting untuk mengetahui kondisi ekonomi di suatu daerah dalam suatu periode tertentu baik atas dasar harga berlaku maupun atas dasar harga konstan. Tujuan Penelitian adalah untuk melihat pengaruh pendapatan asli daerah (PAD) dan belanja modal terhadap pertumbuhan ekonomi. Data yang digunakan dalam penelitian ini merupakan data time series periode tahun 2009-2018. Analisis data yang digunakan adalah analisis regresi berganda untuk melihat seberapa besar pengaruh pendapatan asli daerah dan belanja modal terhadap pertumbuhan ekonomi di Provinsi Kepulauan Bangka Belitung. Hasil Penelitian menunjukkan bahwa secara simultan variabel PAD dan belanja modal berpengaruh positif signifikan terhadap pertumbuhan ekonomi. Hasil pengujian secara parsial variabel pendapatan asli daerah berpengaruh positif signifikan terhadap pertumbuhan ekonomi dan pada variabel belanja modal hasil uji secara parsial tidak berpengaruh signifikan terhadap pertumbuhan ekonomi.Economic growth is one important indicator to see the success of economic development in a country or region. An economy is said to experience economic growth if the amount of production of goods and services increases and the gross regional domestic product is one of the essential indicators to determine the economic conditions in a region in a given period both based on current prices and constantly. The purpose of this study is to look at the effect of regional own-source revenue (PAD) and capital expenditure on economic growth. The data used in this study is Time Series data (time series) for the years 2009-2018. Analysis of the data used is multiple regression analysis to see how much influence the region's original income and capital expenditure on economic growth in the Bangka Belitung Islands Province. The results showed that simultaneous variables of PAD and capital expenditure had a significant positive effect on economic growth. The test results partially local revenue variables have a significant positive impact on economic growth. On the capital expenditure variable, the test results partly have no significant effect on economic growth.

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