scholarly journals ANALISIS DETERMINAN TINGKAT PENGELUARAN KONSUMSI PANGAN DI JAWA TIMUR

2020 ◽  
Vol 13 (1) ◽  
pp. 92
Author(s):  
Ahmad Zainuddin ◽  
Ratih Apri Utami ◽  
Nurul Dwi Novikarumsari

East Java is a province that has a high population, household consumption expenditure is an important thing to consider. The implication is that there will be an increase in production and investment in East Java. Therefore, household consumption expenditure is one of the determinants of community welfare. This study aims to analyze the structure of household consumption expenditure and the factors that influence food expenditure in East Java. The data used were secondary data from East Java in Figures 2019. This study was analyzed using multiple linear regression analysis. The analysis showed that there has been an increase in the welfare of the people of East Java. This is indicated by an increase in the amount of non-food expenditure is higher than food expenditure. Factors affecting household food expenditure in East Java are GRDP per capita, inflation rate, rice prices, and non-food expenditure. Based on these results it is suggested that the government needs to maintain the stability of prices of goods and services to avoid inflation because inflation will reduce public consumption and have implications for the economy of East Java. Keywords: food expenditure, GDRP per capita, inflation

2021 ◽  
Vol 8 (4) ◽  
pp. 782
Author(s):  
Rezki Difan Arshaf ◽  
Emi Roslinda ◽  
Lolyta Sisillia

The economic development indicators of a region observed in economic growth. This growth was seen in the value of production of goods and services of forestry products known as Gross Regional Domestic Product (GRDP). Forest management economically not separated from the government and private investment, forest areas, and labor. This research aims to analyze the factors affecting the economic growth of the forestry sector, regencies/cities, in West Kalimantan, in the years 2011 to 2016. The method used is multiple linear regression analysis, by data panel, in the years 2011 to 2016. Estimated results from 11 regencies/cities, the forestry labor has a positive and significant effect, the investment has a negative and significant effect, and the production forest areas has a positive and significant effect to GRDP growth of forestry sector.Keyword: Economic Growth, GRDP, Investment, Labor, Production Forest Areas.


2017 ◽  
Vol 9 (1) ◽  
pp. 166
Author(s):  
Tanbir Ahmed Chowdhury ◽  
Jannatunnesa Jannatunnesa

Dividend policy has been an important component in the arena of financial literature and providing evidence that dividend payout decisions are affected by various factors. Numerous studies have been conducted so far on corporate dividend policy in Bangladesh. The pharmaceuticals and chemicals industries of Bangladesh offer a lot of investment panorama for the retail investors. This research has been an endeavor to determine the factors affecting the dividend policy of these promising industries, and guide the investment decisions of the equity investors. In this attempt, this study is also a unique one to incorporate the chemicals industry along with the pharmaceuticals industry as both the industries constitute the 'pharmaceuticals and chemicals sector' listed in the stock market of Bangladesh. The study is a quantitative one based on secondary data. It comprises of different statistical analyses such as descriptive statistics, correlation matrix and multiple linear regression analysis, etc. Firm size, growth, liquidity, profitability, last year's dividend and P/E ratio are used as dependent variables. Besides, ownership structure, firm age, market share, and risk are used as control variables. The study explores that firm size has significant negative and last year’s dividend has significant positive relationship with dividend payout. However, dividend payout does not depend on firm growth, liquidity, profitability and P/E ratio of a firm. The research outcome may have important implications for the improvement of investors' perceptions, which may assist them in their investment decisions in the researched industries. Certainly more work lies ahead to add to explanations for why some of the factors affect the dividend policy of the industries, while others have no significant impact thereon.


2018 ◽  
Vol 6 (2) ◽  
pp. 136
Author(s):  
Salihati Hanifa ◽  
Arief Wibowo

Indonesia is one of the developing countries that still experience classic problems such as poverty. Poverty is a classic multidimensional problem, because it is caused by various factors such as Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI). This study aims to analyze determine the effect of Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI) on the percentage of poor people in East Java. This study uses unobtrusive method and uses secondary data in the form of publication data of Badan Pusat Statistik (BPS) of East Java Province. The unit of analysis in this study is 38 districts/cities in East Java. The dependent variable in this study is the percentage of poor people in East Java Province, while the independent variables are Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI). The result based on multiple linear regression analysis shows that the factors can influence the percentage of poor people are percentage of contraception’s user (p = 0.015) and HDI (p = 0.000). The government is expected to evaluate the programs that have been implemented and related to poverty alleviation.


2021 ◽  
Vol 3 (1) ◽  
pp. 27
Author(s):  
Eristamia Faizul Muna ◽  
G. Anggana Lisiantara

The study aims to identify and analyze the factors affecting the audit delay. The study includes a quantitative study using secondary data obtained from the company’s financial statement. The study’s population constituted the entire manufacturing and finance companies listed on the Indonesia Stock Exchange during the year 2018-2019. The sample is collected by using purposive sampling over the listed companies in the criteria that the company publishes the audited financial report as of December 31 and also shows the data needed in the study. The sample which has met the criteria is 510 companies and analyzed by multiple linear regression analysis. The results show that the industrial type and complexity of the company have a positive influence on the audit delay, the auditor opinions, the reputation of Public Accounting Firm and the company’s size have a negative impact on the audit delay, while the profitability does not affect the audit delay.


UKaRsT ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 188
Author(s):  
Oryza L Sari ◽  
Bobby Zafnat Fanneah Elwore ◽  
Basyaruddin Basyaruddin

In building construction, the implementation of maintenance activities plays an important role in the quality of the building. By carrying out these activities regularly, it’s hoped to minimize and prevent damage to buildings and make users feel comfortable. Kalimantan Institute of Technology must have comfortable study spaces. This study aims to determine the effect of the class maintenance factor on the user's comfort level. The analysis brought by determining what factors are influencing, these factors influence, and the most dominant factors affecting the most. Primary data was obtained by distributing questionnaires to respondents, secondary data inactive students, and lecturers at the Kalimantan Institute of Technology, and supporting research data in ministerial regulations, books, research journals, and others. The data analysis process uses IBM SPSS as an auxiliary program with multiple linear regression analysis methods. Based on the research and data processing conducted, it’s concluded that 8 factors influence the maintenance, namely the maintenance of user comfort by 80.8% and the variable maintenance of the room walls. The room wall maintenance variable is the most dominant factor influencing the comfort of classroom users. Knowing these factors can implement optimal implementation to support the comfort of class users at the Kalimantan Institute of Technologists.


Author(s):  
Intan Utna Sari ◽  
Asron Saputra

One of the important benchmarks in determining the success of economic development is economic growth. The role of the government in achieving development success is to determine the direction of development policies and to achieve these development targets a good development plan is needed to realize stable economic growth in order to improve people's welfare, namely by increasing Small and Medium Enterprises, Investment and Manpower. This study aims to determine the simultaneous and partial effect of Small and Medium Enterprises, Investment and Labor on the economic growth of Batam City. The data source is secondary data using panel data consisting of time series data for three years and cross section data of nine districts which resulted in 45 observations. The analysis technique used to solve the problem in this study is the multiple linear regression analysis model. The results of this study indicate that in terms of small and medium enterprises, investment and labor have a significant effect on economic growth in Batam City. This indicates that the number of SMEs (Small and Medium Enterprises), Investment and Manpower in Batam City can determine the level of economic growth in Batam City. This is because SMEs, investment and labor are activities that can produce goods or services. Partially Small and Medium Enterprises, Investment and Labor have a positive and significant effect on economic growth in Batam City, meaning that if the number of Small and Medium Enterprises, Investment and Labor is increased, economic growth will also increase.


1970 ◽  
Vol 5 (2) ◽  
pp. 165-180
Author(s):  
Periansya Periansya

This research was conducted with the aim to know the regional wealth, revenue sharing fund and general allocation fund to the independence of regional finance at the Government of Regency/City in South Sumatra Province. This research was conducted in the period 2014 until 2017. The population in this study is all of Regency/City in the Province of South Sumatra. Sample determination is determined by the Purposive sampling technique as many as 11 regencies/cities in South Sumatera Province. The type of research is quantitative research with secondary data. Form the Budget Realization from the Audit Result Report (LHP) BPK RI 2014 – 2017. The analytical method used is multiple linear regression analysis with panel data. The results showed that the regional wealth and general allocation fund partially influenced the direction of a positive relationship to regional financial independence. While revenue sharing funds partially did not influence regional financial independence. In addition simultaneously regional wealth, revenue sharing funds and general allocation funds simultaneously have a significant effect on regional financial independence at the government of regency/city in South Sumatra Province


2017 ◽  
Vol 1 (2) ◽  
pp. 105-124
Author(s):  
Muhammad Khozin

Abstract :Some bad experiences toward the service of healthcare agency which was held by the Government made it difficult for the society to put their trusts on its quality of the new program from National Healthcare Assurance or JKN by Healthcare and Social Security Agency or BPJS Kesehatan. This study was aimed to assess the level of people’s satisfactions in Balangan Regency toward the programs of National Healthcare Assurance or JKN and some factors that influenced them. The method of this study was the mixed one between qualitative and quantitative study. Meanwhile, the data types were primary and secondary data. Therefore, the data was gathered from questionnaire, interview and literature review. Besides, the population of the study was the Balangan society who had been the members of National Healthcare Assurance (JKN) program. Then, they were chosen to be the sample using Proportionate Stratified Random Sampling method. Thus, the data was processed using Descriptive Statistics Analysis Technique and Multiple Linear Regression Analysis. Keywords :Jaminan Kesehatan Nasional (JKN), Quality of Service, Public Service


2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Hastina Febriaty

Poverty is a living condition that is in shortage experienced by a person or household so as not being able to meet the minimal or decent needs for his life. And poverty is a social problem that is always present in the midst of society.In this research discusses the influence of Gini Ratio, Per Capita GDP and Inflation Rate to Poverty Level in North Sumatera Province. The purpose of this research is to know the influence of Gini Ratio, PDRB / Kapita and Inflation rate to poverty level in North Sumatera province, partially and simultaneously, and the dominant influence variable to poverty level in North Sumatera Province. Sources of data used are secondary data taken from the Central Bureau of Statistics and Bank of Indonesia from 2001 to 2016.Teknik analysis used in this research is multiple linear regression analysis using e-views program 8.1 and perform testing classical assumptions and using hypothesis testing simultaneously (F) and partial (t). The results showed that partially Gini Ratio and PDRB / Kapita have negative and significant effect to poverty level in North Sumatera Province while inflation rate have positive and insignificant effect to poverty level in North Sumatera Province simultaneously Gini Ratio, PDRB Perkapita and inflation rate have significant effect of poverty level in North Sumatera Province.


Author(s):  
Fitria Nurul Hasanah ◽  
Achmad Rizal ◽  
Dedi Supriadi ◽  
Asep Agus Handaka Suryana

The aim of this study is to analyze the factors that have a significant effect on the export volume of fish consumption (Case study: FQS FPQSC Cirebon). The method used in this FPQSC Cirebon. This research was the case study method. This study was conducted in September 2019 until March 2020 which took place in FQS FPQSC Cirebon, PT. Timur Jaya Cemerlang and PD. Sambu. The research method used is quantitative descriptive method by sampling techniques, namely census sampling and purposive sampling methods. The type of data used is secondary data and primary data utilizing by means of multiple linear regression analysis by the classical assumption test and statistical test. The results of this study found that the most significant factors affecting the fish consumption exports in Cirebon was the number of export destination countries with a significant value of 0.024 when seen from the α value of less than 0.05. If there are many export destination countries, the export volume will tend to increase and if export destination countries decline, the export volume will also decrease and It is necessary to add other variables to support research of 0.024 or less than the α requirement of 5% (0.05) countries.


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