scholarly journals INTERACTION DETERMINING FACTORS FROM REGENCY / CITY REGION IN EAST JAVA

2020 ◽  
Vol 17 (2) ◽  
pp. 152
Author(s):  
Ida Nuraini ◽  
Rahmad Hidayat ◽  
Setyo Wahyu Sulistyono
Keyword(s):  
Regression Analysis ◽  
Middle Eastern ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Health Facilities ◽  
City Region ◽  
Strength Of Interaction ◽  
Effect Model ◽  
Surrounding Areas

This study aims to calculate the strength of interaction between regions and determine the variables determining the level of interaction between regions. This research was conducted in the area of East Java province with the object of 39 regencies and cities using the variable mileage, educational facilities, and health facilities. The data used are secondary data sourced from the Central Statistics Agency of East Java, meanwhile the analytical tool used is gravity analysis and regression analysis, with the regression model used is panel data regression, the Random Effect model. The results showed that the areas in the interaction category were weak, namely the southern part of East Java, the western part and the eastern part while those in the interaction category were in the middle eastern part of Java. Category of regions with strong interaction are Gerbang kertosusila and surrounding areas. From the random effect model regression analysis it is known that the distance, education and health facilities variables together influence 95% of the level of interaction between regions and the most dominant variable is the distance between regions which has a regression coefficient of -62480222. Health facility variable has a significant positive effect while education facility variable has no effect on interactions between regions. Therefore, in order for equitable development to be realized immediately, the distance between regions must be shortened by improving the quality of roads, construction of new roads and toll roads, especially in the southern, eastern and eastern parts of Java.

scholarly journals Random Effect Model pada Regresi Panel untuk Pemodelan Kasus Gizi Buruk Balita di Jawa Timur Tahun 2013–2016

2018 ◽  
Vol 6 (1) ◽  
pp. 52
Author(s):  
Irma Ike Wahyuni ◽  
Mahmudah Mahmudah
Keyword(s):  
Regression Analysis ◽  
Health Service ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Severe Malnutrition ◽  
Under Five ◽  
Effect Model ◽  
Service Activity ◽  
One Year

Severe Malnutrition among under five still become a problem in East Java. Regression analysis that has been done only use data in one year so it can not see the effect of time. In this research, the analysis was done by panel data that combine data from some location that was observed in several years so the factor that was caused severe malnutrition was known. The data that was used are secondary data from East Java Province Health Office which consist of under five severe malnutrition percentage data, percentage of under five health service, percentage of healthy house, and percentage of village with Universal Child Immunization (UCI) at 38 regencies/city in 2013–2016. This research used panel regression analysis with Random Effect Model. The result showed that the percentage of village with UCI status significantly influence under five severe malnutrition in East Java with signification value was 0.0008. The regression coefficient value of UCI variable was -0.190. Therefore, the number of village with UCI status need to be increased especially in regencies/city with high under five severe malnutrition cases by Integrated Service Post (Under Five Health Service) activity.

scholarly journals PENGARUH PEREKONOMIAN DAN JUMLAH PENDUDUK TERHADAP PERMINTAAN BAHAN BAKAR MINYAK DI INDONESIA

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Yurlis Sartika ◽  
Syamsul Amar
Keyword(s):  
Energy Consumption ◽  
Human Life ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Industrial Sector ◽  
Fuel Oil ◽  
Economic Activities ◽  
Economic Sectors ◽  
Effect Model

Abstract : This study aims to analyze the factors that influence the demand for fuel oil in Indonesia. The independent variables of this study are: (X1) Economy, (X2) Total Population. The model chosen in this study is the Random Effect Model (REM).            This type of research is descriptive and associative research, the data used in this study are secondary data using panel data techniques during the 2015-2018 period. Documentation data collection techniques obtained from the Central Statistics Agency and BPH Migas. Data were analyzed using the Regression Panel.   The results of this study indicate that: (1) The economy has a positive and significant effect on demand for fuel oil in Indonesia. This means that as the economy increases, the demand for fuel oil in Indonesia also increases. Indonesia's energy consumption is dominated by fossil energy, especially fuel. Final energy consumption consists of various sectors, namely households, industry, transportation, commercial, and others. Energy is very much needed in carrying out Indonesia's economic activities, both for consumption needs and for the production activities of various economic sectors. (2) The population has a positive and significant effect on the demand for fuel oil in Indonesia. This means that the greater the population, the higher the demand for fuel oil in Indonesia. From year to year the population of Indonesia as one of the developing countries in the world continues to experience growth. This growth has had various impacts on aspects of human life. One aspect that is quite affected by the increase in population is the use of energy to support the necessities of life which includes the industrial sector, households, transportation and so forth. The greater the population, the greater the energy used. Keywords : Economy, Population and Panel Regression

scholarly journals Analysis Of Effect Of ZIS (Zakat, Infaq, And Shadaqah), Regional Domestic Products Of Bruto, Regional Minimum Wage And Inflation On Levels Poverty In Indonesia 2012 – 2016

2019 ◽  
Vol 2 (2) ◽  
pp. 193-211
Author(s):  
Fiky Nila Mustika ◽  
Eni Setyowati ◽  
Azhar Alam
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Minimum Wages ◽  
Effect Model ◽  
Panel Data Regression ◽  
The Impact ◽  
Poverty Levels ◽  
Domestic Products

This study investigated the impact of ZIS (Zakat, Infaq, and Sadaqah) Gross Regional Domestic Products, Regional Minimum Wages, and Inflation on Poverty Levels in Indonesia during the 2012-2016 period. .This paper used secondary data in the panel data form. This research conducted a quantitative approach using panel data regression. Based on the results of the panel data testing, the best model chosen is the Random Effect Model (REM). Variables of gross regional domestic products and regional minimum wages have a significant effect on poverty levels in Indonesia while the variables of zakat, infaq, and shadaqah (ZIS) and inflation do not influence the level of poverty in Indonesia.

scholarly journals Pengaruh Pendidikan, Pengangguran, dan Kemiskinan terhadap Ketimpangan Pendapatan di Indonesia

2019 ◽  
Vol 8 (3) ◽  
pp. 250
Author(s):  
Hindun Hindun ◽  
Ady Soejoto ◽  
Hariyati Hariyati
Keyword(s):  
Data Analysis ◽  
Income Inequality ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Ministry Of Education ◽  
Effect Model ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression

This research aims to analyze the effect of education, unemployment, and poverty on income inequality in Indonesia, both partially and simultaneously. This research uses secondary data with a quantitative approach. The type of research used is the type of associative research. The variables in this study are education, unemployment, poverty, and income inequality — data source from BPS and the Ministry of Education and Culture. The data analysis technique used is panel data regression analysis with cross-section 34 provinces and time series for 2015-2018. The results of the research obtained the random effect model, the best models. The results of data analysis show that education and poverty had a partial effect on income inequality in Indonesia, while unemployment had not to affect income inequality. Simultaneously, education, unemployment, and poverty affect income inequality in Indonesia. However, education, unemployment, and poverty can only explain 22.37% of the effect on income inequality in Indonesia. The rest is influenced by factors outside the model.

scholarly journals Analisis Pengaruh Profitabilitas, Likuiditas dan Struktur Modal Terhadap Nilai Perusahaan Perbankan yang Terdaftar Di Bursa Efek Indonesia (BEI) Periode 2014-2018

2020 ◽  
Vol 4 (6) ◽  
pp. 293
Author(s):  
Richard Richard
Keyword(s):  
Regression Analysis ◽  
Capital Structure ◽  
Firm Value ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Model Method ◽  
Effect Model ◽  
Research Show

This study examines the effect of profitability, liquidity and capital structure on firm value of banking companies listed in Indonesia Stock Exchange from 2014 until 2018. Samples of this study were 20 banking company. The method of analysis used in this research is regression analysis of data panel with Random Effect Model method. The result of this research show that profitability and capital structure partially have significant effect on firm value of banking company, while liquidity have no significant effect on firm value of banking company.

scholarly journals PENGARUH CURRENT RATIO, DEBT TO EQUITY RATIO, DAN EARNING PER-SHARE TERHADAP HARGA SAHAM

2017 ◽  
Vol 11 (1) ◽  
Author(s):  
Arry Widodo ◽  
Renda Puspita Dewi
Keyword(s):  
Stock Prices ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Share Price ◽  
Current Ratio ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Equity Ratio

This study also aimed to determine the effect of Current Ratio (CR), Debt to Equity Ratio (DER), and Earning per Share (EPS) to the Price Stock either partially or simultaneously. Secondary data collected based on time series and cross section from the 2008-2012 from 26 companies Costumer Goods sector. By using panel data regression analysis techniques and the Chow test and Hausman test shows that the model used in the estimation of the data is the Random Effect Model. The results showed that the independent variables, EPS significant effect on stock prices. While CR and partially DER no significant effect on stock prices. Simultaneously, CR, DER, and EPS significant effect on stock prices. Keywords: Current Ratio, Debt to Equity Ratio, Earnings per Share, Price Stock

scholarly journals COMPARISON OF VILLAGE DEVELOPMENT BEFORE AND AFTER VILLAGE FUND IMPLEMENTATION IN NAGAN RAYA DISTRICT

2021 ◽  
pp. 18-35
Author(s):  
Arroyyan Ramly
Keyword(s):  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Primary Data ◽  
Series Data ◽  
P Value ◽  
Analysis Method ◽  
Effect Model ◽  
The Village

This study aims to analyze and see the effectiveness of the distribution of the use of village funds in Kuala Subdistrict, Nagan Raya Regency and its relationship with poverty levels. The data used is in the form of time series data from 2015 to 2018 which is collected through primary and secondary data. Primary data were obtained by directly visiting villages in the Kuala sub-district. Meanwhile, secondary data were obtained from the website of the Central Statistics Agency (BPS), document review, articles related to the object of research. This study conducted observations of 10 villages as a sample of 17 villages in Kuala District. The analysis method uses panel data regression with the random effect model (REM) analysis method. From the regression results of the random effect model, it was found that the village fund variable had a positive and significant effect on poverty with a probability of 0.0000 = p-value α = 5%. Then the village fund allocation variable has a significant negative effect on poverty with a probability of 0.0000 = p-value α = 5%. This means that adding 1% of village funds or increasing village funds will reduce poverty in Kuala Subdistrict, Nagan Raya Regency.

scholarly journals PENGARUH EXECUTIVE INCENTIVE, FIRM SIZE, DAN LEVERAGE TERHADAP EARNINGS MANAGEMENT PADA PERUSAHAAN LQ-45 YANG TERDAFTAR DALAM BURSA EFEK INDONESIA PERIODE 2015-2018

Paradigma ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 62-72
Author(s):  
Nadhila Ellyane Ardaputri ◽  
Dikdik Saleh Sadikin
Keyword(s):  
Regression Analysis ◽  
Earnings Management ◽  
Multiple Regression Analysis ◽  
Firm Size ◽  
Sampling Method ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Effect Model ◽  
Positive Effect

This study aims to determine the effect of Executive Incentive, Firm Size, and Leverage on Earnings Management. The object of research in this study is the LQ-45 company listed on the Indonesia Stock Exchange (BEI) in the 2015-2018 period. This research uses purposive sampling method so that 27 companies are obtained with a total of 97 observations after outliers. This study uses a random effect model and multiple regression analysis used in hypothesis testing. This study provides results that the executive incentive LQ-45 company does not affect earnings management; firm size has a positive effect on earnings management; and leverage has no effect on earnings management.

scholarly journals The Effect of Financial Condition on Firm Value: A Comparative Study

2021 ◽  
Vol 16 (2) ◽  
pp. 199
Author(s):  
Dwiyanjana Santyo Nugroho
Keyword(s):  
Regression Analysis ◽  
Firm Size ◽  
Firm Value ◽  
Random Effect ◽  
Random Effect Model ◽  
Analysis Model ◽  
Financial Reports ◽  
Financial Condition ◽  
Effect Model ◽  
The Difference

This study analyzes a company’s financial condition on firm value. We also evaluated the difference in firm value between corporate sectors affected and unaffected by the COVID-19 pandemic. The regression analysis model used is the random effect model as well as the difference-in-difference technique. The study uses data from the company’s interim financial reports for the first and second quarters of 2018, 2019, and 2020. We found that firm size and leverage influence firm values. This applies to companies in the affected sectors, such as hotel, restaurant, and tourism sub-sectors, and unaffected sectors, such as health, pharmacy, and telecommunication sub-sectors. We also found that firm values in affected and unaffected sectors, before and during COVID-19, do not significantly differ. Keywords: COVID-19, financial condition, firm value

scholarly journals PENGARUH TINGKAT PENDIDIKAN, KEPADATAN PENDUDUK DAN KETIMPANGAN PENDAPATAN TERHADAP KRIMINALITAS DI INDONESIA

2019 ◽  
Vol 1 (3) ◽  
pp. 759
Author(s):  
Adek Oktaviani Edwart ◽  
Zul Azhar
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Population Density ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Employment Opportunities ◽  
Effect Model ◽  
Education Levels

This study aims to determine: (1)TVC XDFGhe Influence of Education Levels against Crime in Indonesia. (2) Effect of Population Density against Crime in Indonesia. (3) Effects  of Income Inequality on Crime in Indonesia. (4) Effect of Education Levels, Population Density, and Joint Income Inequality against Crime in Indonesia. The type of data used is secondary data. this study uses panel data, which uses 31 provinces in Indonesia using the Random Effect Model (REM) approach. The results of this study indicate that: (1) Education levels have a positive and significant effect on crime in Indonesia. (2) Population density has a negative and significant effect on crime in Indonesia. (3) Income inequality has a positive and not significant effect on crime in Indonesia. Based on the results of this study, it is expected that the goverment and the authorities will actively carry out socialization aimed at creating security and order in areas prone to criminal acts and implementing programs for equitable development and creating employment opportunities to improve the economy of the community.

Sign in / Sign up

Export Citation Format

Share Document