scholarly journals Faktor - Faktor Yang Mempengaruhi Pendapatan Tenaga Kerja Perempuan Di Sektor Informal (Studi Kasus Pedagang Pasar Sanggeng Manokwari)

2020 ◽  
Vol 3 (2) ◽  
pp. 27-36
Author(s):  
Framintolia Kaiway ◽  
Siti Aisah Bauw ◽  
Marcus R. Maspaitella
Keyword(s):  
Regression Analysis ◽  
Family Life ◽  
Linear Regression Analysis ◽  
Working Hours ◽  
Multiple Linear Regression Analysis ◽  
Education Level ◽  
Level Of Education ◽  
The Family ◽  
The World ◽  
Effect Of Age

Women act as wives and even mothers for children in the household by carrying out domestic tasks at home to take care of and serve their husbands and family members. When women have many dependent needs in the family, women take on a dual role to be absorbed in the world of work in the informal sector as traders by trading in the market in order to generate income in order to meet the needs of family life. This study aims to analyze the factors of age, working hours, education level, and the number of dependents on the income of female traders in Sanggeng Manokwari Market by using multiple linear regression analysis tools. The regression results show that there is a significant effect of age and working hours on the income of female traders, while the level of education and number of dependents does not show a significant effect on the income of female traders in the Sanggeng Manokwari Market.

scholarly journals Analisis pendapatan pedagang kaki lima di Kota Jambi (studi kasus pedagang kaki lima di Jalan Jenderal Basuki Rahmat sampai H. Agus Salim Kecamatan Kota Baru)

2019 ◽  
Vol 8 (1) ◽  
pp. 41-53
Author(s):  
Panggno Septiawan ◽  
Rahma Nurjanah ◽  
Candra Mustika
Keyword(s):  
High School ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Working Hours ◽  
Multiple Linear Regression Analysis ◽  
Education Level ◽  
Average Income ◽  
Street Vendors ◽  
Level Of Education

This study aims: 1) To find out and analyze the socio-economic characteristics of street vendors on Jalan Basuki Rahmat until General H. Agus Salim; 2) To find out and analyze what factors influence the income of street vendors on Jalan Basuki Rahmat until Jenderal H. Agus Salim by using multiple linear regression analysis tools. Based on the analysis of the characteristics of street vendors who are respondents according to the average age of 33 years, the highest sex is male, the most marital status is married, the number of family dependents is 3 dependents, according to the highest level of education, namely high school, the length of hours work that is 8 hours working time in a day, selling as a main job, average fixed capital of Rp. 2,212,000, operating capital with an average of Rp. 250,000 per day and for an average income of Rp. 3,376,000 per month. Based on the regression results indicate that the variables of capital, age, and working hours have a significant effect on the income of street vendors. Keywords: Income, Capital, Age, Working Hours, Education Level.

scholarly journals Analisis Faktor-Faktor yang Memengaruhi Kelancaran Pengembalian Pembiayaan Murabahah pada Usaha Mikro, Kecil, dan Menengah (UMKM) di BMT Taruna Sejahtera

2016 ◽  
Vol 7 (1) ◽  
pp. 55
Author(s):  
Tri Andina Rahayu
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Financial Institution ◽  
Linear Regression Analysis ◽  
Personal Characteristics ◽  
Multiple Linear Regression Analysis ◽  
Rate Of Return ◽  
Level Of Education ◽  
Loan Financing

A problem arising from the distribution of defrayal is often caused by a delay in repayment of financing that could interfere in liquidity and profitability of financial institution. One of BMTs that has good achievement in Semarang is BMT Taruna Sejahtera with a percentage of the value of arrears of the last few years has decreased. This achievement needs to be maintained and improved until the problems can be solved. This research was conducted at BMT Taruna Sejahtera starting from February to August 2014 using a purposive sample of 85 debtors. All the factors which are supposed to influence the rate of return on the financing were analyzed using multiple linear regression analysis. As the response variable in the analysis, that is the level of the smoothness in returning defrayal (Y) in which the predictor variables are the personal characteristics consisting of the level of education and age. Based on the results of multiple linear regression analysis, the factors that affect the rate of return is the value of the loan financing, business turnover, and level of education. It means the higher the value of the loan, the business turnover and debtor’s education level, the greater the chances of returning of murabaha defrayal

scholarly journals ANALISIS WILLINGNESS TO PAY (WTP) RETRIBUSI PENGELOLAAN SAMPAH DI KECAMATAN CILEUNYI, KABUPATEN BANDUNG

2019 ◽  
Vol 45 (1) ◽  
pp. 33-46
Author(s):  
Ruth Roselin Nainggolan
Keyword(s):  
Regression Analysis ◽  
Waste Management ◽  
Willingness To Pay ◽  
Contingent Valuation Method ◽  
Linear Regression Analysis ◽  
Family Members ◽  
Multiple Linear Regression Analysis ◽  
Level Of Education ◽  
Average Value ◽  
Valuation Method

This study aims to analyze the value of Willingnes to Pay (WTP) and the factors that influence the value of WTP to waste management retribution into compost. This research was conducted in Cileunyi District, Bandung Regency, West Java Province. Cileunyi District is estimated to produce garbage reaching 330 m3 per day or 115 tons/ day. The number of samples is 96 families, calculated by the Frank Lynch formula. To find out the factors that influence WTP, use the correlation test, ANOVA test and multiple linear regression analysis using SPSS 24 software. Contingent Valuation Method (CVM) is used to analize the value of Community’s  Willingness to Pay the retribution.  The results of the study obtained as follows: age, level of education, income and number of family members together (simultaneous) affect the Willingness to Pay (WTP),  the influence of all factors is 39.9%,  the number of family members does not significantly affect the WTP,  the average value of waste retribution paid is Rp. 10,208,33 and the average value of WTP for waste management into compost or recycled is Rp. 20,572.92.

scholarly journals ANALISIS KINERJA PEDAGANG PASAR ALAI DAN FAKTOR YANG MEMPENGARUHINYA

2018 ◽  
Vol 5 (3) ◽  
pp. 161-170
Author(s):  
Mery Trianita ◽  
Yuhelmi Yuhelmi
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Linear Regression Analysis ◽  
Working Hours ◽  
Multiple Linear Regression Analysis ◽  
Initial Capital ◽  
Hours Of Work

This study was conducted to determine how the influence of the initial capital, long effort and hours of work on the performance of the market traders alai Padang. The respondents are all traders who sell in the market of alai which has shops , a variety of types of businesses and turnover are almost the same. Sampling done by the census where all the population into the sample in this study as many as 56 people traders. To test the hypothesis, this research uses multiple linear regression analysis. The results of the analysis obtained that the initial capital and long efforts has a significant influence on the Performance of the market traders alai. While working Hours have no effect on the performance of the market traders Alai. Keywords : Initial Capital, Long Effort and Hours of Work

scholarly journals Pengaruh komponen indeks pembangunan manusia (IPM) terhadap pertumbuhan ekonomi di Kota Jambi Periode 2004-2018

2020 ◽  
Vol 9 (2) ◽  
pp. 110-122
Author(s):  
Bayu Permana ◽  
Yulmardi Yulmardi ◽  
Junaidi Junaidi
Keyword(s):  
Economic Growth ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Negative Influence ◽  
Education Level ◽  
Level Of Education ◽  
Level Variable

The purpose of this study is to look at the development of the level of health, the level of education, the level of growth and economic growth in Jambi city and to determine the level of health, the level of education, the level of growth of economic growth in Jambi city. The method that will be used in analyzing data in this study uses descriptive and quantitative analysis methods. The data used in this study are secondary data from the 2004-2018 time series. The tool used to be published uses multiple linear regression. Based on the results of multiple linear regression analysis, it can be concluded that the health level variable has a positive and significant effect on economic growth in Jambi city. The education level variable has no influence on economic growth in Jambi city. expenditure level variables that have a negative influence on economic growth in Jambi city.

scholarly journals ANALISIS DETERMINAN PENDAPATAN PEDAGANG PASAR BANJARSARI KOTA PEKALONGAN PASCA KEBAKARAN

2020 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Nur Elitami Insan ◽  
Arif Pujiyono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Working Hours ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Business Location ◽  
Dominant Influence

The income of traders in the Banjarsari Emergency Market Pekalongan is influenced by various factors, one of which is the trader resources (capital, working hours, business length, education, and business location). This study aims to determine the effect of capital, working hours, business length, education, and business location on the income of traders in the Banjarsari Emergency Market in Pekalongan. There as 95 traders of Banjarsari Emergency Market in Pekalongan were taken as samples with purposive sampling and accidental sampling. This study uses multiple linear regression analysis tools with the Ordinary Least Square (OLS) method. The results showed that capital, length of business, and location of business affect the income of traders. While working hours and education have not affected the income of the trader. Capital provides the most dominant influence on income trader

scholarly journals Faktor - faktor yang mempengaruhi migrasi masuk di Kota Jambi (studi kasus etnis Jawa di Kelurahan Buluran Kenali)

2019 ◽  
Vol 8 (1) ◽  
pp. 26-40
Author(s):  
Sulung Tino Anggara ◽  
Junaidi Junaidi ◽  
Yulmardi Yulmardi
Keyword(s):  
Linear Regression ◽  
Length Of Stay ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Education Level ◽  
Primary Data ◽  
Level Of Education ◽  
Survey Results ◽  
The City

Research objectives: 1) To determine the characteristics of Javanese ethnic groups in Buluran Kenali Village; 2) To find out and analyze the influence of age, origin, education level and length of stay on the income of Javanese ethnic migrant residents in the Buluran Kenali Village. The data used in this study are primary data obtained from survey results by distributing questionnaires and interviews. The analytical method used in this study is descriptive and quantitative analysis methods, using multiple linear regression analysis. The results of this study indicates that the average age of migrants is 44 years old, married with a total of 2 people, education that has completed an average of 10 years comes directly from Java, with the reason of moving to Jambi City due to family invitation and knowing the City Jambi from family/friends. From the results of multiple linear regression it is known that age, origin, level of education, length of stay have an effect on and significantly affect the income of ethnic Javanese migrants in Jambi City. Partially, age, education and length of stay influence and significantly affect the income of Javanese ethnic migrants in Jambi City, while the origin does not affect and the income of ethnic Javanese migrants in Jambi City. Keywords: Migration, Income, Age, Origin, Education Level, Length of Stay.

scholarly journals The Effects of Lending Interest Rates, Inflation Rates, and Investment on Economic Growth of South East Asian Countries

2020 ◽  
Vol 8 (06) ◽  
pp. 1830-1835
Author(s):  
Rika Yuliastanti ◽  
Ali Farhan ◽  
Sri Rahayu ◽  
Roy Sumaryono ◽  
Nindya Kartika Kumayati
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Interest Rates ◽  
World Bank ◽  
East Asian ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Asian Countries ◽  
The World Bank ◽  
The World

This study aims to determine the effect of lending interest rates, inflation and the investment rate on economic growth in South East Asiancountries over the past seventeen years (2000-2017). This study uses a quantitative method with multiple linear regression analysis, the sample used is data from the World Bank about lending interest rates, inflation, and investment in South East Asian countries that are members of the World Bank during the period 2000-2017. From the results of multiple linear regression analysis it was found that both the lending interest rate, inflation and investment rate variables had a positive effect but unsignificant on the economic growth of South East Asian countries during 2000-2017.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PERAN PENJUAL KOMODITAS HORTIKULTURA OLEH KAUM IBU DALAM MENINGKATKAN EKONOMI KELUARGA DI PASAR WAMANGGU KOTA MERAUKE

2019 ◽  
Vol 1 (2) ◽  
pp. 53-59
Author(s):  
Nurdhaiyah Nurdhaiyah ◽  
David Oscar Simatupang ◽  
Untari Untari
Keyword(s):  
Regression Analysis ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Dominant Factor ◽  
Quantitative Descriptive Analysis ◽  
Family Economy ◽  
The Family

This study aims to find out how much the factors of education, capital, and dependents influence the role of mothers in improving the family economy in Wamanggu Market and analyze the dominant factors that influence the role of mothers in improving the family economy in Wamanggu Market. This research was conducted at the Wamanggu Merauke Market, for four (4) months, namely from August to December 2018. The population in this study were all vegetable sellers in the Wamanggu Merauke Market. The sampling technique was random sampling with 173 samples and a total population of 63 sellers, while data analysis was carried out with quantitative descriptive analysis method using multiple linear regression analysis. The results of multiple regression analysis show that the magnitude of the effect of education on income (Y): based on education (X1) affects income (Y) insignificantly by 0.044 or 4.4%, based on capital (X2) affects income (Y) significantly by 0.919 or 91.9%, based on dependents (X3) affect income (Y) not significantly by 0.005 or 5%. The dominant factor that influences the decision of mothers in improving the family economy is the capital factor (X2) which is equal to 0.919 or 91.9%.   Keywords: Education, Capital, Dependents, Income.

scholarly journals Elastisitas Permintaan Beras Organik Di Kabupaten Hulu Sungai Utara

2019 ◽  
Vol 9 (1) ◽  
pp. 681-687
Author(s):  
Muhammad Zaini ◽  
Miranda Romaully Br Sitanggang ◽  
Rum Van Royensyah
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Price Elasticity ◽  
Income Elasticity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Education Level ◽  
Elasticity Of Demand ◽  
Organic Rice

       This study is aimed to determine the factors that influence the demand of organic rice and its elasticity in Hulu Sungai Utara. This research was conducted in Amuntai City.  Data collection was carried out from October 2018 to January 2019. The analysis us is multiple linear regression analysis from the results of calculations using the regression equation Y = 2.564 + 0.002 (X1) + 1.025 (X2) - 0.223 (X3) - 1,511 (X4) + 0.196 (X5) + 0.003 (X6). The results of the analysis for regression obtained F-count 2.672 > F-table 2.53 thus the hypothesis which states that the variable of education level, income, tastes / habits, number of dependents, price of organic rice, and prices of other goods (non-organic rice) have an effect simultaneously to the demand for organic rice. While significantly obtain the results of t test where the value of t-calculation is 2.460 > t-table 1.713.  The elasticity of demand for static models is based on price elasticity, the price of organic rice is elastic (7.32 > 1). Based on cross elasticity, the price of other goods (organic rice) is elastic (5.27 > 1). Based on income elasticity, respondents' income is elastic (702,615 > 1).

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