scholarly journals Pengaruh Ekspor Ikan Tongkol/Tuna Indonesia Ke Jepang Terhadap Pertumbuhan Ekonomi Di Indonesia Dengan Model Dinamis Regression

2021 ◽  
Vol 4 (1) ◽  
pp. 15
Author(s):  
Devi Andriyani ◽  
Try Wahyu Syahputra
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Data Analysis ◽  
Time Series Data ◽  
Variance Decomposition ◽  
Series Data ◽  
Response Analysis ◽  
Large Contribution ◽  
Analysis Method ◽  
One Year

This study aimed to determine the effect of Tuna exports from Indonesia to Japan on the economic growth in Indonesia. This study used time series data during 2002-2015 obtained from the Central Bureau of Statistics. The data analysis method used in this study was the Vector Autoregression (VAR) approach. The results showed that the Indonesian Tuna exports to Japan had a negative and insignificant effect on economic growth. While the results based on the impulse response analysis can be said that when a shock occurs in economic growth, it takes one year so that Tuna exports can return to reach its equilibrium or equilibrium point. Based on the analysis of variance decomposition, it can be concluded that the exports of Tuna make a large contribution to economic growth.Keywords:Economic Growth, Tuna Exports from Indonesia

scholarly journals Sub Sektor Pariwisata terhadap Pembangunan Daerah di Kabupaten Lumajang

2019 ◽  
Vol 9 (1) ◽  
pp. 51-56
Author(s):  
Herman Diartho Cahyo
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Method ◽  
Local Revenue ◽  
Descriptive Research ◽  
Data Analysis Method ◽  
Tourism Sector

This research is a Descriptive research which aims to find out how much the level of labor elasticity of tourism subsector in Lumajnag regency, to know contribution of tourism subsector to local revenue (PAD) in Lumajang Regency, and to know the growth of labor absorption in tourism sector in Lumajang regency. The type of data used in this research is secondary data in the form of time series data with the object of research on the tourism subsector in Lumajang District and data obtained from the Department of Tourism, Department of Manpower and Dinas revenue Lumajang District in 2011-2017. Data analysis method used in this research is elasticity and proportion analysis. The results of this study indicate that the ability of the tourism subsector is not much in the absorption of labor that is equal to -1.49 percent of the number of workers who have worked or categorized as inelastic. In addition, the tourism subsector also did not contribute a considerable amount during the period of 2011-2017 to the Regional Original Income of Lumajang Regency which averaged only 1.41 percent. Overall contribution or contribution given by the tourism sector from year to year during the period 2011-2017 tends to decrease.

scholarly journals Pengaruh Dana Desa Dan Alokasi Dana Gampong Terhadap Kemiskinan Di Kecamatan Makmur Kabupaten Bireuen

2020 ◽  
Vol 3 (1) ◽  
pp. 11
Author(s):  
Aida Fitri ◽  
Khairil Anwar
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Panel Data ◽  
Cross Section ◽  
Time Series Data ◽  
Panel Data Analysis ◽  
Series Data ◽  
Analysis Method ◽  
Fund Allocation ◽  
Data Analysis Method

This study aims to determine how much Influence funds and village fund allocation have on poverty in Makmur District, Bireuen Regency. This study uses the panel data analysis method. Which is a combination of time-series data from 2015 to 2019, and a cross-section involving 27 villages and results in 135 observations. The results show that village funds have a negative and significant effect on poverty in the Makmur sub-district. Meanwhile, the allocation of village fund has no significant effect on poverty in the Makmur sub-district.Keywords:Village Fund, VillageFund Allocation, Poverty.

The 1978 economic reforms of China and its impact on economic growth - A time series data analysis

2019 ◽  
Vol 22 (8) ◽  
pp. 1511-1538 ◽  
Author(s):  
Aganda Anaba Oswin ◽  
Zhiqiang Ma ◽  
Mingxing Li ◽  
Adjei Mensah Isaac ◽  
Emmanuel Caesar Ayamba ◽  
...  
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Data Analysis ◽  
Time Series Data ◽  
Economic Reforms ◽  
Series Data ◽  
Time Series Data Analysis

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.

Considerations Affecting Indonesia's Economic Growth: Analysis of 2009-2018 Period

2018 ◽  
Vol 1 (2) ◽  
pp. 92-104
Author(s):  
Dyah Poespita Ernawati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Development ◽  
Foreign Direct Investment ◽  
Data Analysis ◽  
Direct Investment ◽  
Time Series Data ◽  
Foreign Debt ◽  
Series Data ◽  
Development Economic

This study aims to analyze several variables that affect the growth and decline of the Indonesian economy during the period 2009-2018. The variables that affect are limited to only three, namely FDI (Foreign Direct Investment) or foreign direct investment, exports, and foreign debt. Meanwhile, the variable that causes the decline is the failure to understand the development economic theory approach to fail to apply it in the field. The type of research used is explanatory research with a quantitative approach. The location of this research was conducted at the World Bank. This study's population is the entire time-series data from FDI, exports, foreign debt, and Indonesia's economic growth. The sampling technique collects time-series data for ten years (one decade), namely the years 2009-2018 so that there are 40 samples. The data analysis used is multiple linear regression analysis. The data analysis results in this study indicate that the variables consisting of FDI, exports, foreign debt simultaneously have a significant effect on Indonesia's economic growth. Partially FDI Indonesia's economic development is being impacted significantly. Indonesia's economic development is strongly driven by exports. The effect of external debt on Indonesia's economic growth is important.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

scholarly journals Topological Data Analysis Approaches to Uncovering the Timing of Ring Structure Onset in Filamentous Networks

2021 ◽  
Vol 83 (3) ◽  
Author(s):  
Maria-Veronica Ciocanel ◽  
Riley Juenemann ◽  
Adriana T. Dawes ◽  
Scott A. McKinley
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Actin Filaments ◽  
Time Series Data ◽  
Polymer Networks ◽  
Topological Data Analysis ◽  
Series Data ◽  
Topological Features ◽  
Topological Data

AbstractIn developmental biology as well as in other biological systems, emerging structure and organization can be captured using time-series data of protein locations. In analyzing this time-dependent data, it is a common challenge not only to determine whether topological features emerge, but also to identify the timing of their formation. For instance, in most cells, actin filaments interact with myosin motor proteins and organize into polymer networks and higher-order structures. Ring channels are examples of such structures that maintain constant diameters over time and play key roles in processes such as cell division, development, and wound healing. Given the limitations in studying interactions of actin with myosin in vivo, we generate time-series data of protein polymer interactions in cells using complex agent-based models. Since the data has a filamentous structure, we propose sampling along the actin filaments and analyzing the topological structure of the resulting point cloud at each time. Building on existing tools from persistent homology, we develop a topological data analysis (TDA) method that assesses effective ring generation in this dynamic data. This method connects topological features through time in a path that corresponds to emergence of organization in the data. In this work, we also propose methods for assessing whether the topological features of interest are significant and thus whether they contribute to the formation of an emerging hole (ring channel) in the simulated protein interactions. In particular, we use the MEDYAN simulation platform to show that this technique can distinguish between the actin cytoskeleton organization resulting from distinct motor protein binding parameters.

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