scholarly journals ANALISIS PERMINTAAN TENAGA KERJA PADA PERUSAHAAN PERKEBUNAN SAWIT (Studi Kasus PT.SOCFINDO Perkebunan Seunagan Kabupaten Nagan Raya)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Leli Putri Ansari
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Significant Influence ◽  
Oil Palm ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Model ◽  
Simultaneous Testing

AbstractThis study aims to analyze the effect of wages and production on oil palm plantation companies, a case study of PT.Socfindo Seunagan  Nagan Raya district. This research methode uses multiple liniear regression data analysis model. This research is quantitative and time series data for the period of 2005-2016 and data in the form of secondary data obtained from PT.Socfindo Seunagan  Nagan Raya district and Central Bureau of statistics (BPS) Nagan Raya district.Based on the results of research partial testing that wages have a significant influence on labor for demand. Where as production has no significant effect on the demand  for labor. Simultaneous testing that wages and production effect labor for demand Keyword: Wage, production, and labor for demand

scholarly journals PENGARUH ZIS (ZAKAT, INFAK, SEDEKAH) DAN ZAKAT FITRAH TERHADAP PENURUNAN KEMISKINAN DI INDONESIA PERIODE 1998 - 2010

Media Ekonomi ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 83
Author(s):  
Jumadin Lapopo
Keyword(s):  
Time Series ◽  
Developing Countries ◽  
Regression Analysis ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Model ◽  
Independent Variables

<p>Poverty is being a problem in all developing countries including Indonesia. Among goverment programs, poverty has become the center offattention in policy at both of the regional and national levels. Looking at thephenomenon of poverty, Islam present with solution to reduce poverty through Zakat. This study aims to analyze the effect of ZIS and Zakat Fitrah against poverty in Indonesia in 1998 until 2010, data used in this study is secondary data and uses time series data, for the dependent variabel is poverty and for independent variables are ZIS and Zakat Fitrah. The analysis tools used in this study is to use multiple regression analysis model and the assumptions of classical test using the software Eviews-4. In this study also concluded that the ZIS variables significantly affect to the reduction of poverty in Indonesia although the effect is very small. In the variable Zakat Fitrah not significantly affect poverty reduction in Indonesia because of the nature of Zakat Fitrah is for consumption and not for long-term needs. The results of this study can be used for the management of zakat to be able to develop the management and to get a better system for distribution of zakat so that the main purpose of zakat can be achieved to reduce poverty.<br />Keywords : Poverty, Zakat Fitrah, ZIS.</p>

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 JUMLAH PERCEPATAN RESTITUSI PAJAK PERTAMBAHAN NILAI TERHADAP PENERIMAAN PAJAK PERTAMBAHAN NILAI (Studi pada Kantor Pelayanan Pajak Pratama Malang Utara)

Profit ◽  
2021 ◽  
Vol 15 (01) ◽  
pp. 120-129
Author(s):  
Astri Warih Anjarwi ◽  
Linda Kharisma
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Time Series Data ◽  
Value Added ◽  
Secondary Data ◽  
Variable Number ◽  
Series Data ◽  
Value Added Tax ◽  
Analysis Technique ◽  
The Cost

The Accelerated of Value Added Tax Restitution is Indonesian government’s policy to a preliminary refund of value added tax overpayment. The simplification or the acceleration of the provision of restitution is done without strict examination and long process, but by simple research. Accelerated restitution policy is given to the Taxpayer who fulfills certain requirements (certain amount of restitution as mentioned above), certain criteria (Taxpayers who comply) and they are low risk Taxable Entrepreneurs that determined by the Minister of Finance. The Acceleration of Value Added Tax restitution is expected to reduce the cost compliance because the provision of restitution is done without examination and it is hoped that this policy could increase cash flow and liquidity of the economy. The research’s purpose is determine to impact the number of acceleration of value added tax restitution to the acceptance of value added tax. The type of research is explanatory research with a quantitative approach. The research’s data is secondary data that obtaine from the Pratama Tax Office Malang Utara. The research’s data is time series data during the periode of April 2018 – November 2019. The data analysis technique on the research is a simple regresi linier analysis. The results of this research is variable number of acceleration restitution on value added tax impact and significant for the revenue value added tax in the Pratama Tax Office Malang Utara. The value of R Square earned is 0.374 which means that the number of accelerated restitution of value added tax has an impact on the variable revenue of value added tax is 37.4%.

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

Producers' Response to Changes in Prices and Marketing Policies: A Case Study of Sugarcane and Paddy in Eastern U.P. by S. C. Gupta and A. Majid. New York: Asia Publishing House, 1965.

1968 ◽  
Vol 8 (2) ◽  
pp. 308-309
Author(s):  
Mohammad Irshad Khan
Keyword(s):  
New York ◽  
Time Series ◽  
Time Series Data ◽  
Publishing House ◽  
Economic Incentives ◽  
The Other ◽  
Series Data ◽  
Poor Countries ◽  
Northern India

It is alleged that the agricultural output in poor countries responds very little to movements in prices and costs because of subsistence-oriented produc¬tion and self-produced inputs. The work of Gupta and Majid is concerned with the empirical verification of the responsiveness of farmers to prices and marketing policies in a backward region. The authors' analysis of the respon¬siveness of farmers to economic incentives is based on two sets of data (concern¬ing sugarcane, cash crop, and paddy, subsistence crop) collected from the district of Deoria in Eastern U.P. (Utter Pradesh) a chronically foodgrain deficit region in northern India. In one set, they have aggregate time-series data at district level and, in the other, they have obtained data from a survey of five villages selected from 170 villages around Padrauna town in Deoria.

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.

A new approach to detect extreme events: a case study using remotely-sensed precipitation time-series data

2021 ◽  
Vol 24 ◽  
pp. 100618
Author(s):  
Philipe Riskalla Leal ◽  
Ricardo José de Paula Souza e Guimarães ◽  
Fábio Dall Cortivo ◽  
Rayana Santos Araújo Palharini ◽  
Milton Kampel
Keyword(s):  
Time Series ◽  
Extreme Events ◽  
Time Series Data ◽  
Remotely Sensed ◽  
Series Data ◽  
Precipitation Time Series ◽  
New Approach

CAUSAL RELATIONSHIP OF ENERGY CONSUMPTION AND ECONOMIC GROWTH – A CASE STUDY OF PAKISTAN

2021 ◽  
Vol 9 (1) ◽  
pp. 139-164
Author(s):  
Saddam Hussain ◽  
Chunjiao Yu
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Inflation Rate ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Series Data ◽  
Relationship Of

This paper explores the causal relationship between energy consumption and economic growth in Pakistan, applying techniques of co-integration and Hsiao’s version of Granger causality, using time series data over the period 1965-2019. Time series data of macroeconomic determi-nants – i.e. energy growth, Foreign Direct Investment (FDI) growth and population growth shows a positive correlation with economic growth while there is no correlation founded be-tween economic growth and inflation rate or Consumer Price Index (CPI). The general conclu-sion of empirical results is that economic growth causes energy consumption.

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