scholarly journals Pengaruh UMP, PDRB, dan investasi terhadap penyerapan tenaga kerja industri di Pulau Jawa

2021 ◽  
Vol 5 (2) ◽  
pp. 111-120
Author(s):  
Desy Meilasari
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Fixed Effect Model ◽  
Industrial Sector ◽  
Investment Climate ◽  
Central Java ◽  
Industrial Sectors ◽  
Effect Model ◽  
Data Regression ◽  
The Government

This research aims to analyze the effect of provincial Minimum wage (UMP), PDRB, and investment in the industrial sector of labor absorption on Java island in 2010-2016. Data used is a data panel consisting of data time series 2010 – 2016 and cross section six provinces namely DKI Jakarta, West Java, Central Java, IN Yogyakarta, East Java, and Banten. The Anaalisis tool used is a data regression panel i.e. Fixed Effect Model (FEM). The results showed that UMP has a significant effect on the labor absorption of the industrial sector on Java Island in 2010-2016. While the PDRB and investment have a positive and significant effect on the labor absorption of industrial sectors in Java Island in 2010-2016. Through this research, the government expects more cautious and creating a conducive investment climate so that the value of PDRB is increasing.  

scholarly journals PENGARUH UPAH MINIMUM PROVINSI, PDRB DAN INVESTASI TERHADAP PENYERAPAN TENAGA KERJA SEKTOR INDUSTRI DI PULAU JAWA TAHUN 2010-2016

2020 ◽  
Vol 1 (2) ◽  
pp. 169-190
Author(s):  
Desy Meilasari
Keyword(s):  
Minimum Wage ◽  
Cross Section ◽  
Fixed Effect Model ◽  
Industrial Sector ◽  
Investment Climate ◽  
Central Java ◽  
Industrial Sectors ◽  
Effect Model ◽  
Data Regression ◽  
The Government

This research aims to analyze the effect of provincial Minimum wage (UMP), PDRB, and investment in theindustrial sector of labor absorption on Java island in 2010-2016. Data used is a data panel consisting of datatime series 2010 – 2016 and cross section six provinces namely DKI Jakarta, West Java, Central Java, INYogyakarta, East Java, and Banten. The Anaalisis tool used is a data regression panel i.e. Fixed Effect Model(FEM). The results showed that UMP has a significant effect on the labor absorption of the industrial sector onJava Island in 2010-2016. While the PDRB and investment have a positive and significant effect on the laborabsorption of industrial sectors in Java Island in 2010-2016. Through this research, the government expectsmore cautious and creating a conducive investment climate so that the value of PDRB is increasing.

scholarly journals Analisis Pengaruh PDRB, Tingkat Pengangguran, dan IPM Terhadap Tingkat Kemiskinan di Provinsi Jawa Tengah

2018 ◽  
Vol 33 (2) ◽  
Author(s):  
Ridho Andhykha ◽  
Herniwati Retno Handayani ◽  
Nenik Woyanti
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Poverty Level ◽  
Dummy Variable ◽  
Central Java ◽  
Effect Model

<p><strong>Abstrak</strong></p><p>Tingginya tingkat kemiskinan di Jawa Tengah menunjukkan proses pembangunan ekonomi yang belum bisa meningkatkan kesejahteraan masyarakat secara merata. Dengan demikian, diperlukan adanya analisis untuk mengetahui factor-faktor yang mempengaruhi kemiskinan dalam rangka mengatasi kemiskinan. Tujuan dari penelitian ini yaitu menganalisis Produk Domestik Regional Bruto (PDRB), Tingkat Kemiskinan, Indeks Pembangunan Manusia (IPM) yang mempengaruhi kemiskinan pada 35 Kabupaten/Kota di Provinsi Jawa Tengah dari tahun 2011 hingga 2015. Penelitian ini menggunakan data sekunder dengan data cross-section terdiri dari 35 Kabupaten/Kota di Provinsi Jawa Tengah dan data time-series yaitu tahun 2011-2015. Alat analisis yang digunakan dalam dalam mengestimasi model regresi data panel yaitu <em>Fixed Effect Model (FEM)</em> atau disebut juga <em>Least Square Dummy Variable</em>. Hasil penelitian menunjukkan bahwa variabel laju pertumbuhan PDRB berpengaruh positif dan signifikan terhadap Tingkat Kemiskinan. IPM berpengaruh negatif dan signifikan terhadap Tingkat Kemiskinan. Sedangkan Tingkat Pengangguran Terbuka berpengaruh positif dan signifikan terhadap Tingkat Kemiskinan.</p><p> </p><p>Kata kunci:      Kemiskinan, Laju Pertumbuhan PDRB, Indeks Pembangunan                                 Manusia (IPM), <em>Fixed Effect Model</em>.</p><p align="center"><strong> </strong></p><p align="center"><strong> </strong></p><p><strong>Abstract</strong></p><p><em>The high level of poverty in Central Java shows unreliable development that still cannot increase prosperity equally. Hence, analysis is required to identify several factor that affect. This research’s purpose is to identify Gross Domestic Regional Product (GDRP), Unemployment Level, Human Development Index (HDI) that affect the poverty level of the poverty level of 35 Districts/Cities of Central Java Province from 2011 until 2016.</em><em> </em><em>This research uses secondary data containing 35 Districts/Cities of Central Java on cross section data and 2011 until 2016 on time series data. The analytical method of this research is Fixed Effect Model (FEM) or Least Square Dummy Variable (LSDV). The results of this research show that Growth of GDRP gives positive and significant effect for poverty level. HDI give negative and significant effect for poverty level. On the other side, Unemployment Level give positive and significant effect for poverty level.</em></p><p><em> </em></p><p><em>Keyword:        Poverty, Growth of GDRP, Human Development Index (HDI), Unemployment, Fixed Effect Model.</em></p>

scholarly journals Determinants of Unemployment in the Large and Medium Industrial Sector in Indonesia

2021 ◽  
Vol 2 (3) ◽  
pp. 110-117
Author(s):  
Tarmizi Zulkifli Abdurachman ◽  
Sofyan Syahnur ◽  
Putri Bintusy Syathi
Keyword(s):  
Unemployment Rate ◽  
Labour Force ◽  
Fixed Effect Model ◽  
Industrial Sector ◽  
Labour Demand ◽  
Industrial Output ◽  
Domestic Capital ◽  
Effect Model ◽  
Study Results ◽  
The Government

As a country with the second-highest unemployment rate, Indonesian policymakers should worry about this condition. Based on the macroeconomic perspective, unemployment is affected by the firms' labour demand. It highlights that the firm's profit or loss highly determines the labour force demand. Using the Fixed Effect Model, this study results show that the labour force significantly affects industrial output, and the changes of industrial output highly increase the labour demand in the market. However, foreign and domestic capital neither significantly reduce unemployment rate in Indonesia nor stimulate the large and medium industries to absorb labour in the market. The Government should utilize foreign and domestic capital efficiently as possible to reduce unemployment rate.

scholarly journals PENINGKATAN TARIF CUKAI ROKOK DAN DAMPAKNYA TERHADAP PEREKONOMIAN DAN PENDAPATAN SEKTORAL JAWA TENGAH

KINERJA ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 99
Author(s):  
Fatoni Ashar ◽  
Firmansyah ,
Keyword(s):  
Panel Data ◽  
Household Income ◽  
Fixed Effect Model ◽  
Cigarette Consumption ◽  
Input Output ◽  
Output Analysis ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study analyzes the effect of excise of cigarette price changes to the consumption of cigarette and Central Java’s economy and household income. In the first stage, with employing panel data regression model,i.e. fixed effect model (FEM) which include 35 regencies/cities in Central Java Province during 2009-2013, the study examines the effect of cigarette excise to cigarette consumption. On the next stage, the study simulatesthe impact of cigarette consumption shock to the Central Java’s sectoral economy and household income using the Central Java 2013 Input-Output table. The findings indicate that the cigarette excise has a tradeoff effect tohousehold’s cigarette consumption. The increase of cigarette excise reduces cigarette consumption, and next, reduces output and sectoral household income. The cigarettes industries suffered the highest impact of thedecrease of the cigarette consumption, followed by other sectors which is has a high link to cigarette industries such as agricultures and tobacco sectors.Keywords: cigarette, excise, panel data regression, input-output analysis

PENGARUH BOOK-VALUE (BV), EARNING PER SHARE (EPS) DAN DEBT EQUIITY RATIO (DER) TERHADAP HARGA SAHAM: STUDI KASUS DENGAN DATA PANEL DI INDONESIA

2009 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Singgih Santoso
Keyword(s):  
Cross Section ◽  
Stock Price ◽  
Fixed Effect Model ◽  
Industrial Sector ◽  
Stock Exchanges ◽  
Specific Component ◽  
Book Value ◽  
Effect Model ◽  
Equity Ratio ◽  
Er Model

This article develop a regression based model in which stock price, as a dependent vmiable, be inJluenced with some independent voriabels, such as book value @y), earning per share @PS) and debt equity ratio @ER). Model was built based ontwenty-six companies'financial statement data listed on Indonesio Stock Exchanges, particularly in industrial sector, ouer period 2003-200d. Testing with m,any theoretical methods shows that the best model is cross-section specific component with fixed effect model.

scholarly journals Analisis Determinan Ketimpangan Pendapatan Di Provinsi Jawa Barat Tahun 2015-2020

2021 ◽  
Vol 10 (2) ◽  
pp. 95-104
Author(s):  
Widyastuti Dias ◽  
Lucia Rita Indrawati
Keyword(s):  
Income Inequality ◽  
Cross Section ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
West Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

This study aims to analyze the factors that influence income inequality in the province of West Java. The data used is in the form of a cross-section of 28 districts or cities in the area of West Java and a time series for a period of 6 years, namely from 2015-2020. This study uses panel data regression analysis using a fixed-effect model and is processed with the help of Eviews 10. The results showed that the Human Development Index had a significant positive effect on income inequality. The population had an insignificant negative effect on income inequality. The open unemployment rate had a positive and minor impact on income inequality.

scholarly journals Pengaruh PDRB, Upah Minimum Provinsi, dan Angkatan Kerja Terhadap Investasi Asing Langsung di Indonesia Tahun 2013-2016

2019 ◽  
Vol 4 (2) ◽  
pp. 101-109
Author(s):  
Siti Utma ◽  
◽  
Arif Rakhman
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Fixed Effects ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Fixed Effects Model ◽  
Common Effect ◽  
Effect Model

Penelitian ini bertujuan menganalisis pengaruh produk domestik regional bruto (PDRB), upah minimum provinsi (UMP), dan angkatan kerja terhadap investasi asing langsung di Indonesia tahun 2013 – 2016. Data yang digunakan dalam penelitian ini adalah data panel yang merupakan gabungan data provinsi sebagai cross section dan tahun 2013 – 2016 sebagai time series. Investasi asing langsung merupakan variabel dependen, sedangkan variabel Independen yang digunakan adalah produk domestik regional bruto (PDRB), upah minimum provinsi (UMP), dan angkatan kerja. Metode penelitian menggunakan analisis regresi dengan tiga model yaitu common effect model, fixed effect model, dan random effect model. Dari tiga model tersebut, fixed Effects Model (FEM) terpilih sebagai model regresi data panel yang paling tepat. Hasil regresi produk domestik regional bruto (PDRB) berpengaruh positif signifikan terhadap investasi asing langsung. Hal ini berarti setiap kenaikan produk domestik regional bruto (PDRB) akan menaikkan investasi asing langsung di Indonesia. Adapun variabel upah minimum provinsi (UMP) dan Angkatan Kerja, tidak berpengaruh signifikan terhadap investasi asing langsung di Indonesia tahun 2013 – 2016.

PENGARUH OUTPUT SEKTOR PERTANIAN, INDUSTRI PENGOLAHAN DAN PERDAGANGAN TERHADAP JUMLAH PENDUDUK MISKIN DI PROPINSI JAWA TIMUR (TAHUN 2005 – 2013)

2016 ◽  
Vol 26 (2) ◽  
pp. 113
Author(s):  
Dian Candra Sakti
Keyword(s):  
Agricultural Sector ◽  
Fixed Effect Model ◽  
Industrial Sector ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Manufacturing Trade ◽  
Poor Population ◽  
Constant Prices

This study was conducted to analyze and examine the influence of the agricultural sector output, processing industry, trade, hotels and restaurants to the poor population in the province of East Java. Quantitative approach in this study using panel data regression method. The data used is the Gross Domestic Product (GDP) at constant prices (AHDK) in 2000 and the Poverty rates of 29 districts and 9 Cities in East Java province, from 2005 to 2013. The estimated using models Fixed Effect Model (FEM) or often referred to as engineering Least Squares Dummy Variable (lSDV). The results of the model shows the output of agriculture, manufacturing, trade, hotels and restaurants negative and a significant effect on reducing the amount of poor population in the province of East Java. Increased output of the agricultural sector amounted to Rp. 1 billion will reduce the amount of poor population of 355 people, cetirus paribus. Increased output of the industrial sector of Rp. 1 billion will reduce the amount of poor population by 169 people, cetirus paribus. Increased output of the hotel and restaurant trade Rp. 1 billion will reduce the number of poor by 217 people, cetirus paribus.

scholarly journals ANALISIS REGRESI DATA PANEL TERHADAP INDEKS PEMBANGUNAN MANUSIA (IPM) JAWA TIMUR TAHUN 2006-2015

2018 ◽  
Vol 18 (2) ◽  
pp. 69
Author(s):  
Muhammad Jamil Hidayat ◽  
Alfian Futuhul Hadi ◽  
Dian Anggraeni
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Series Data ◽  
Cross Section Data ◽  
Section Data ◽  
Effect Model ◽  
Per Capita

Panel data is a combination of time series and cross section data. Panel data regression is used because in a time there is time researchers can’t perform analysis only by using time series data and cross section data only. This is because the number of factors used in the analysis phase, so that if the researcher only uses cross section data then the researcher can’t see the influence of factors that affect as well as on the growth of HDI that occurs from time to time in a certain period. Whereas it is quite possible that the conditions between one year and another will be different. Based on the model estimation, it is used with fixed effect model (FEM) approach. Modeling HDI with FEM in 2006-2015 period resulted in R2 value of 94.23%. The results showed that from 2006-2015 the ratio of student-teacher (RST), health facilities (HF), percentage of expenditure per capita by group of food (PPF) and regional per capita expenditure (PPE) have significant effect to HDI. Keywords: HDI, Panel, Fixed Effect Model

scholarly journals Analisis Regresi Balanced Panel dengan Komponen Galat Dua Arah pada Kasus Melek Huruf Masyarakat di Provinsi NTB

2021 ◽  
Vol 3 (1) ◽  
pp. 10
Author(s):  
Muhammad Irwansyah ◽  
R. Ruliana ◽  
Muhammad Kasim Aidid
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Common Effect ◽  
Effect Model

Abstract. Analsis regresi adalah suatu metode untuk melihat pengaruh antara satu atau lebih peubah bebas terhadap peubah terikat. Data yang digunakan untuk analisis regresi ada yang berupa penggabungan antara data cross section dengan data time series yang dikenal dengan nama data panel. Data panel yang memiliki jumlah pengamatan waktu yang sama di setiap objek pada tabulasi silang merupakan data panel lengkap (Balanced panel). Penelitian ini mencari nilai dugaan terhadap model regresi data panel dengan komponen galat dua arah yaitu galat pada waktu dan galat pada individu. Analisis regresi data panel dapat menggunakan tiga pendekatan yaitu common effect model, fixed effect model, dan random effect model. Pemilihan model terbaik dari ketiga pendekatan regresi data panel menggunakan uji hausman, uji chow, dan uji lagrange multipler. Dalam penelitian ini didapatkan model terbaik yaitu model random effect dimana peubah yang memiliki pengaruh signifikan terhadap melek huruf di Provinsi NTB yaitu rasio murid guru tingkat SMP rasio murid guru tingkat SMA, dan persentase penduduk miskin. Model regresi data panel yang terbentuk yaitu: Y = 117,5728 - 0,1967X5 - 0,3091X6 - 0,3297X7 + eKeywords: regresi data panel, common effect model, fixed effect model, random effect model, melek huruf.

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