scholarly journals Pengaruh Upah Minimum Kabupaten/Kota (UMK) dan Pembangunan Manusia Berbasis Maqashid Syariah terhadap Jumlah Kemiskinan di Kabupaten Grobogan Jawa Tengah

IQTISHODUNA ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 39-58
Author(s):  
Ria Safitri ◽  
Jadzil Baihaqi ◽  
S. Supriyadi
Keyword(s):  
Human Development ◽  
Minimum Wage ◽  
Time Series Data ◽  
Basic Needs ◽  
Secondary Data ◽  
Poverty Measurement ◽  
Series Data ◽  
Data Types ◽  
Central Java ◽  
Central Statistics

This study aims to determine the effect of City Minimum Wage and human development based on maqashid shari'a on the amount of poverty in Grobogan, Central Java. This study uses a quantitative approach with secondary data types obtained from the Central Statistics Agency (BPS) and the Office of the Ministry of Religion Grobogan Regency. This research method uses multiple regression analysis techniques with time-series data from 2011 to 2017. Data analysis in this study uses Eviews 7 software. The results showed that the city minimum wage had a negative effect on the amount of poverty in Grobogan Regency. Whereas human development based on maqashid shari'a has a negative and not significant effect on the amount of poverty in Grobogan Regency. Human development based on maqashid shari'a has a negative and insignificant effect due to poverty measurement used by the Central Statistics Agency (BPS) using the concept of ability to meet basic needs (basic need approach). With this approach, poverty is seen as an inability from the economic side to meet the basic needs of food and non-food which are measured in terms of expenditure and income, so that other components cannot be directly linked to poverty.

scholarly journals ANALISIS PENYERAPAN TENAGA KERJA SEKTOR INDUSTRI DI PROVINSI JAWA TENGAH

2017 ◽  
Vol 16 (2) ◽  
Author(s):  
Tanti Siti Rochmani ◽  
Yunastiti Purwaningsih ◽  
Agustinus Suryantoro
Keyword(s):  
Economic Growth ◽  
Minimum Wage ◽  
Time Series Data ◽  
Secondary Data ◽  
Industrial Sector ◽  
Fundamental Aspect ◽  
Series Data ◽  
Factors Affecting ◽  
Central Java ◽  
Analysis Technique

<p>The purpose of this study was to analyze the factors affecting employment in the industrial sector of Central Java province. Research backdrop that aspects of employment is a fundamental aspect in the economy. The economy is growing through the process of industrialization, should be able to absorb a lot of labor. With more and more workers absorbed there will be an increase in welfare of the population. This study is an analysis of secondary data such as time series data for 2010-2014. The analysis technique used is the panel data regression. The results showed the rate of economic growth and the minimum wage Regency / City positive effect on employment, while the number of industrial business unit does not affect the employment of industrial sector in the province of Central Java.</p><p> </p><p>Keywords: employment, economic growth, minimum wage, industry, Central Java</p>

scholarly journals PENGARUH UPAH MINIMUM DAN INFLASI TERHADAP JUMLAH PENDUDUK MISKIN DI PROVINSI JAMBI

2017 ◽  
Vol 1 (1) ◽  
pp. 148
Author(s):  
Sudirman Sudirman ◽  
Lili Andriani
Keyword(s):  
Minimum Wage ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Negative Relationship ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Data Types ◽  
The Poor ◽  
Poor Population

Determination of the Minimum wage is based on the necessities of life are worthy(KHL) with attention to productivity and economic growth, while inflation where a situation where price levels are continuously increasing. While the problem of povertyis a classic problem because all countries had a huge poor population. Therefore need to look for a solution to overcome the problem of poverty. This research aims to find out how inflation, the minimum wage can be explained against the poor population in the province of Jambi province Year 2001-2015. This research is quantitative research using time series data). Types of data used in this research is secondary data obtained from the Central Bureau of statistics (BPS) province of Jambi and journals as a supporter. Multiple linear regression analysis of that minimum wages have a negative relationship toward the poor population in the province of Jambi where if the minimum wage goes up 1% then the number of poor population will be down by0.410 and significantly on (a) 5%, and in variables Inflation positive relationship towards the Poor population of Jambi province, if inflation rises 1% then the number ofpoor population will rise of 0.011 and insignificant on a (a) 5%. As for the analysis of the test of the F and t tests can noted that the influence of the free variable (Minimum wage and inflation) against the number of poor population in the province of Jambi simultaneously or together (FR F) effect on the number of poor population. The value of Fhitung and Ftabel (51.194 > 3.89), with significant extent 0.000 < 0.05 then there are significant positive influence. for test t of a variable minimum wage in the get the value of Thitung with the Ttabel of 7.373 > 2.179.Keywords: minimum wage, inflation 

scholarly journals Analisis Peningkatan Upah Minimum Terhadap Penyerapan Tenaga Kerja di Provinsi Jawa Tengah

2021 ◽  
Vol 10 (3) ◽  
pp. 134-143
Author(s):  
Annisa Yulianti ◽  
Hadi Sasana
Keyword(s):  
Economic Growth ◽  
Minimum Wage ◽  
Time Series Data ◽  
Series Data ◽  
Short Term ◽  
Central Java ◽  
Meaningful Relationship ◽  
Short Time ◽  
Relationship Of

 This study aims to analyze the short-term and long-term relationship of increasing the minimum wage in Central Java on employment. The research method used is ECM. The variables of this study include labor, minimum wages, PMDN, and economic growth. The data used are time-series data from 1990-2020. The results show that the minimum wage has a positive and significant relationship to the employment in the long term but not significantly in the short time. PMDN has a negative but significant correlation in the short and long term. At the same time, the variable economic growth has a positive but not meaningful relationship to employment absorption in the long and short term.

scholarly journals Analisis Dampak Penanaman Modal Asing Dan Tenaga Kerja Asing Tiongkok terhadap Perekonomian Indonesia

2021 ◽  
Vol 10 (3) ◽  
pp. 159-167
Author(s):  
Neli Aida ◽  
Ukhti Ciptawaty ◽  
Toto Gunarto ◽  
Syarifah Aini
Keyword(s):  
Foreign Investment ◽  
Time Series Data ◽  
Secondary Data ◽  
Positive Influence ◽  
Least Square ◽  
Series Data ◽  
Foreign Workers ◽  
Data Types ◽  
Project Scheme ◽  
Study Results

This study will discuss the influence of the influx of foreign investment and Chinese foreign workers on the Indonesian economy, where cooperation between the two countries uses a turnkey project scheme. This study uses secondary data with time-series data types and is sourced from the Central Statistics Agency, the Investment Coordinating Board, and the Ministry of Manpower for the 2010-2019 period. The method used in this research is quantitative and statistical descriptive using multiple linear regression or OLS (Ordinary Least Square). The study results show a positive influence of Chinese foreign investment on the Indonesian economy and Chinese foreign workers who positively impact the Indonesian economy. Although both are below 1 percent, the percentage of Chinese foreign workers' influence on the Indonesian economy is greater than that of Chinese foreign investment.

scholarly journals Pengaruh Infrastruktur terhadap Pertumbuhan Ekonomi di Provinsi Jawa Tengah

2020 ◽  
Vol 5 (02) ◽  
pp. 169-179
Author(s):  
Saadatul Kamilla ◽  
Dinar Melani Hutajulu
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Secondary Data ◽  
Series Data ◽  
Economic Activities ◽  
The Road ◽  
Central Java ◽  
Independent Variable ◽  
Basic Infrastructure

ABSTRACT One of the most important aspects in economic development is infrastructure. Adequate and equitable infrastructure in all regions of a country will facilitate economic performer in accessing and carrying out economic activities. A good economic activities will create economic growth. The main purpose of this research is to know the effect of infrastructure on economic growth. The study was conducted in Central Java province using secondary data from 2006-2018. The independent variable of this study is the basic infrastructure including roads, electricity and water. While the dependent variable is the GRDP. The model used is multiple linear regression model using time series data. The results of this study indicate that the road infrastructure variable is significant to  influence on economic growth. The variable infrastructure of electricity shows significant results and have a positive effect on economic growth. Variable infrastructure of water shows the results are insignificant on economic growth. Keywords: economic growth, road, electricity, water

scholarly journals IDENTIFICATION OF AGRICULTURAL SECTOR LEADING COMMODITIES IN MAGELANG DISTRICT

2020 ◽  
Vol 4 (2) ◽  
pp. 247-255
Author(s):  
Danta Paramartha ◽  
Mukson Mukson ◽  
Budi Adi Kristanto
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Secondary Data ◽  
Growth Patterns ◽  
Series Data ◽  
Agricultural Commodity ◽  
Sweet Potatoes ◽  
Location Quotient ◽  
Fast Growing ◽  
Central Java

Determination of leading commodities is needed to know the potential and prospective commodities that can be developed in an area. Leading commodities are expected to provide greater revenue compared to other commodities. This study aims to determine the leading agricultural subsector that has the potential to be developed as a driver of the economy in Magelang District. and analyze the trends in the growth patterns of subsector and leading agricultural commodities in the district. The method used in this study is descriptive method. The data used is time series data, namely secondary data from the GRDP of Magelang and Central Java Provinces in 2013-2017 and data on the amount of agricultural commodity production over a 7-year period (2011-2017). Data analysis tools used are Analysis of Location Quotient (LQ), Dynamic Location Quotient (DLQ), and Klassen Typology Analysis.The results of the study shows that, horticultural plants, livestock, forestry and natural resources are base / leading subsectors of agricultural sector in Magelang District. The pattern and structure of the growth of the food crop subsector is among those that are rapidly developing, while the horticulture and livestock are among the advanced but depressed subsectors and the most advanced and fast growing food crops are sweet potatoes. On the other hand, the fast-growing group of horticultural commodities of vegetables are cabbage, cayenne pepper, tomatoes, cauliflower, cucumber, scallion, and carrots, whereas horticultural commodities in advanced and fast-growing fruit groups are rambutan and salak. In addition, the rapidly growing livestock commodities are cows, buffaloes, pigs, native chickens, and ducks. Finally the advanced but depressed commodities are goats and broilers.

scholarly journals The Effect of Economic Growth, HDI, District/City Minimum Wage and Unemployment on Inequity of Income Distribution in Province of D.I Yogyakarta (2010-2018)

2021 ◽  
Vol 36 (2) ◽  
pp. 170
Author(s):  
Krisna Gita Suryani ◽  
Nenik Woyanti
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Income Distribution ◽  
Minimum Wage ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Section Data ◽  
Negative Effect

The high inequality of income distribution that occurs in the Special Region of Yogyakarta Province shows that economic development has not succeeded in bringing equity to the community. For this reason, an analysis is needed to determine the factors that inequality of income distribution in order to reduce inequality of income distribution that occurs in the Province of DI Yogyakarta. The purpose of this study was to determine the effect of economic growth, HDI, Distric/City Minimum Wage, and Unemployment. This research uses secondary data obtained from the Central Statistics Agency of D.I Yogyakarta Province. The data in this research is panel data consisting of cross section data from 5 districs/cities and time series data for 2010-2018. The data analysis used was panel data regression analysis with the Fixed Effect regression model. The results of the regression analysis show that economic growth does not have a significant effect on inequality of income distribution. Meanwhile, HDI, Distric/City Minimum Wages and Unemployment have a significant effect on the inequality of income distribution. HDI has a negative effect, while Distric/City Minimum Wage and Unemployment have a positive effect on inequality of income distributed in the Province of DI Yogyakarta in 2010-2018

scholarly journals Pengaruh PDRB, UMK, Jumlah Penduduk dan Inflasi Terhadap Jumlah Pengangguran di 35 Kabupaten/Kota di Jawa Tengah Tahun 2011-2017

2020 ◽  
Vol 5 (1) ◽  
pp. 66-76
Author(s):  
Niken Dwi Lestari ◽  
Nenik Woyanti
Keyword(s):  
Panel Data ◽  
Minimum Wage ◽  
Cross Section ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Variable Number ◽  
Series Data ◽  
Effect Model

Economic growth can be used as a benchmark of the success of a region’s economic development. This study aims to analyze the effect of GRDP, minimum wage districs / cities, population and inflation variables on the number of unemployment in 35 districs / cities in Central Java Province in 2011-2017.The method which is used in this study is the panel data method, that is cross section data as many as 35 districts / cities and 7 years time series data with Random Effect Model (REM) approach. The type of data used is secondary data and data processing tools used are Eviews 9. The results of this study indicate that the gross regional domestic product (GRDP) variable has a positive and significant effect on the number of unemployment. The minimum wage districs / cities variable has a negative and significant effect on the number of unemployment. The variable number of population has a positive and significant effect on the number of unemployment. The inflation variable has a positive and insignificant effect on the number of unemployment.Keywords : Number Of Unemployment; GRDP; Minimum Wage Districts / Cities; Population; InflationPertumbuhan ekonomi merupakan suatu tolok ukur keberhasilan pembangunan ekonomi suatu daerah. Penelitian ini bertujuan untuk menganalisis pengaruh variabel PDRB, upah minimum kabupaten/kota, jumlah penduduk dan inflasi tehadap jumlah pengangguran di 35 Kabupaten/Kota di Provinsi Jawa Tengah tahun 2011-2017. Metode yang digunakan dalam penelitian ini adalah metode panel data yaitu data cross section sebanyak 35 kabupaten/kota dan data runtut waktu 7 tahun dengan pendekatan Random Effect Model (REM). Jenis data yang digunakan adalah data sekunder dan alat pengolah data yang digunakan adalah Eviews 9. Hasil dari penelitian ini menunjukkan bahwa variabel produk domestik regional bruto (PDRB) memiliki pengaruh positif dan signifikan terhadap jumlah pengangguran. Variabel upah minimum kabupaten/kota memiliki pengaruh negatif dan signifikan terhadap jumlah pengangguran. Variabel jumlah penduduk memiliki pengaruh positif dan signifikan terhadap jumlah pengangguran. Variabel inflasi memiliki pengaruh positif dan tidak signifikan terhdap jumlah pengangguran.Kata Kunci: Jumlah Pengangguran; PDRB; Upah Minimum Kabupaten / Kota; Jumlah Penduduk; Inflasi

scholarly journals Pengaruh pertumbuhan ekonomi, indeks pembangunan manusia dan kepadatan penduduk terhadap tingkat kemiskinan kabupaten/kota di Provinsi Jambi

2019 ◽  
Vol 8 (2) ◽  
pp. 96-107
Author(s):  
Rahma Wardana Putri ◽  
Junaidi Junaidi ◽  
Candra Mustika
Keyword(s):  
Economic Growth ◽  
Population Density ◽  
Human Development ◽  
Human Development Index ◽  
Time Series Data ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Poverty Level ◽  
Development Index

This study deals with the effect of economic growth, Human Development Index (HDI) and population density on the poverty levels of districts/cities in Jambi Province in 2013-2017. The type of data used in this study are combined secondary data from time series data and cross section data from 2013-2017. The data used is obtained from the official website of the Central Statistic Agency of Jambi Province. The analytical method used is panel data regression analysis. The result showed that the variabels of economic growth and population density had a siginificant effect on the poverty level of districts/cities in Jambi Province in 2013-2017. The coefficient of determination is 0.982702, which means that the independent variabels of economic growth, Human Developmet Index (HDI) and population density affect 98.27% of the dependent variabels of poverty in districts/cities in Jambi Province. Simultaneous test results (F test), show taht economic growth, Human Development Index (HDI) and population density simultaneously have a significant effect on the poverty level of districts/cities in Jambi Province. Keywords: Economic Growth, Human Development Index (HDI), Population Density, Poverty Level.

scholarly journals The Effect of Zakat, Poverty, Unemployment, and Per Capita Income on HDI Through Economic Growth As Intervening Variables in Central Java Period 2017-2020

2021 ◽  
Vol 1 ◽  
pp. 57-66
Author(s):  
Erin Yulfitasari ◽  
Anton Bawono
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Tool ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Central Java ◽  
Per Capita

The purpose of this study was to determine the effect of zakat, poverty, unemployment, and income per capita on the human development index in Central Java with economic growth as an intervening variable. This research is a quantitative research with secondary data taken from the Central Java Baznas and the BPS website. The data used is panel data, which is a combination of time series data from 2017-2020 and cross section data of 35 districts/cities. The population of this study is in districts/cities in Central Java with saturated sampling. The analysis tool uses eviews 9.0 with regression analysis selected fixed effect model. The results showed that zakat and poverty had a significant effect on HDI, while unemployment and income per capita had no significant effect on HDI. Then zakat and poverty have a significant effect on economic growth, while unemployment and per capita income do not have a significant effect on economic growth. But economic growth has a significant effect on HDI. Then, simultaneously the variables of zakat, poverty, unemployment, and income per capita have no effect on HDI with economic growth as moderating.

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