scholarly journals ANALISIS FUNGSI PRODUKSI COBB-DOUGLAS PADA KEGIATAN SEKTOR USAHA MIKRO DI LINGKUNGAN UIN SYARIF HIDAYATULLAH JAKARTA

2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Fitri Amalia
Keyword(s):  
Educational Level ◽  
Least Square Method ◽  
Least Square ◽  
Primary Data ◽  
Ordinary Least Square ◽  
Business Units ◽  
Production Factors ◽  
Independent Variable ◽  
Production Output ◽  
Accumulation Method

The aim of this research is to acknowledge the influence of capital, worker, educational level and technology toward the production output. The data applied is a particular primary data within the data accumulation method of questionnaire consists of 7 question items. This re   search is a certain population research contains of 60 respondents (business units). The method applied is OLS (Ordinary Least Square) method by applying classic assumption test and statistic test to examine the influence of independent variable to dependent one. The result obtained shows that the educational level does not have significant influence towards the production output, whereas the three other variables, which are: capital, workers, and technology does positively and significantly influence the production output. The most production factors which influence the output is the worker. Economical scale condition shows the increasing return to scale condition so that the production output still able to be increased further by increasing the input.DOI: 10.15408/sjie.v3i1.2056

scholarly journals Pengaruh umur, pendidikan, upah, keterampilan, dan jenis kelamin terhadap lama mencari kerja bagi pekerja terdidik di Kota Jambi (studi kasus Kecamatan Kota Baru dan Telanaipura)

2020 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Cici Swarsih ◽  
Junaidi Junaidi ◽  
Rosmeli Rosmeli
Keyword(s):  
Sampling Method ◽  
Least Square Method ◽  
Total Sample ◽  
Least Square ◽  
Primary Data ◽  
Wage Level ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
And Gender ◽  
Multistage Sampling

This study aims to analyze the characteristics of educated workforce and to determine the effect of variables of age, education, wage level, skills and gender on duration of looking for work by educated worker in Jambi City. The data used in this study are primary data obtained from questionnaires and direct interviews with a total sample of 110 respondents. Sampling in this study uses a multistage sampling method that is sampling in stages. Data analysis methods used are descriptive and quantitative analysis. The analytical tool used is the OLS (Ordinary Least Square) method. The results of this study indicate that the independent variables simultaneously have a significant effect on duration of looking for work. Partially the variables of age, education, wage level have a significant effect on duration of looking for work, while the skills and gender variables have no significant effect on the duration of looking for work.

scholarly journals ANALISIS REGRESI KOMPONEN UTAMA UNTUK MENGATASI MASALAH MULTIKOLINIERITAS DALAM ANALISIS REGRESI LINIER BERGANDA

2012 ◽  
Vol 6 (1) ◽  
pp. 31-40
Author(s):  
Gresyea L. Marcus ◽  
Henry J. Wattimanela ◽  
Yopi A. Lesnussa
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Least Square Method ◽  
Component Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Analysis Technique ◽  
Independent Variable ◽  
Very High

The climate in Ambon, are influenced by sea climate and season climate, cause of this island arrounded by sea, it is make very high rainfall intensity. A very high collinearity between independent variables, make the estimate can not rely be ordinary least square method so it market with not real regretion coefficient and the collinearity. Collinearity can be detected by linier correlation coefficient between independent variables and also with VIF way. Regretion principal component analysis is used to remove collinearity and all of independent variable into model, this analysis is regretion analysis technique wher eare combinated with principal component analysis technique. The object of this analysis is to simplify the variable by overcast it dimension, we can do it removes the correlation between coefficient by transformation. Regresion can help to solve this case rainfall in Ambon on 2010. So the colinearity to independent variables can be overcome and then we can get the best regretion rutes.

Analisa Respon Masyarakat Muslim Kota Medan Terhadap Asuransi Syariah

2018 ◽  
Vol 1 (1) ◽  
pp. 399
Author(s):  
Yudi Setiawan
Keyword(s):  
Least Square Method ◽  
Least Square ◽  
Primary Data ◽  
Muslim Community ◽  
Insurance Agents ◽  
Ordinary Least Square ◽  
The People ◽  
Muslim Communities ◽  
Islamic Insurance ◽  
The City

The purpose of this study was to see the general public's response to insurance in Medan. The variables used in this study are service variables, income and the response of the people of Medan City. The data used in this study are primary data through direct interviews and questionnaires with a sample of 100 respondents spread across 4 sub-districts of Medan City, namely Medan Kota sub-district, Medan Petisah sub-district, Medan Tembung sub-district and Medan Denai sub-district. While the data analysis techniques of this study are multiple regression with the Ordinary Least Square method. The results show that the service and income variables significantly influence both simultaneously and partially on the response of the Medan City Muslim community in Islamic insurance. The results also show that service and income variables can explain the response of the Medan City Muslim community as much as 65.6% while the remaining 34.4% is explained by other factors. The need for education and socialization of sharia insurance and also the increasing professionalism of sharia insurance agents is the solution so that the response of Muslim communities increases especially in the city of Medan.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA PEGAWAI NEGERI SIPIL KOTA MANADO

2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Christine Amelia Londong ◽  
David Saerang ◽  
Rosalina Koleangan
Keyword(s):  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Primary Data ◽  
Ordinary Least Square ◽  
Delegation Of Authority ◽  
The People ◽  
Training Motivation ◽  
The Government ◽  
The Many

Abstrak Pengembangan daerah dalam melaksanakan pendelegasian wewenang serta anggaran dari pusat ke daerah dalam bentuk otonomi menjadi kesempatan sekaligus momok menakutkan apabila tak bisa dikelola dengan baik, apalagi dengan banyaknya kebutuhan serta keinginan masyarakat di daerah yang perlu untuk diperhatikan dan berimplikasi pada kebijakan yang dibuat oleh pemerintah sebagai pengambil keputusan. Kinerja pegawai menjadi salah satu hal yang paling dituntut dalam pelaksanaanya, apakah sudah benar-benar melihat kebutuhan masyarakat dalam memberi pelayanan dan mengambil keputusan. Dalam penelitian ini digunakan data primer dengan metode Ordinary Least Square dengan analisis regresi berganda untuk melihat seberapa besar factor-faktor independen yang ditentukan memberikan pengaruh pada kinerja pegawai. Dari hasil perhitungan didapati baik secara parsial variable pelatihan, motivasi pegawai dan distribusi pekerjaan maupun secara simultan terhadap kinerja pegawai menunjukan hasil R Square sebesar 0,766 yang artinya 76,6 persen kinerja pegawai negeri sispil kota Manado dipengaruhi oleh variable yang ada di dalam penelitian sedangkan sisanya dipengaruhi oleh factor lain yang tidak ada dalam penelitian.   Kata kunci : otonomi daerah, kinerja, motivasi, pelatihan, distribusi kerja Abstract Regional development in implementing the delegation of authority and budget of the center to the regions in the form of autonomy into opportunities and frightening if it can not be managed properly, especially with the many needs and wishes of the people in the area that need to be considered and the implications for the policies made by the government as a taker decision. Employee performance became one of the most demanded in its implementation, whether it actually saw the needs of society in providing services and making decisions. This study used primary data with Ordinary Least Square method with multiple regression analysis to see how big factors specified independent influence on employee performance. From the calculation of the variable found to be either partially training, motivation and distribution of work and simultaneously towards employee performance showed the results of R Square of 0.766, which means 76.6 percent of the performance of civil servants sispil Manado city is influenced by variables in the study while the remaining affected by other factors that were not in the study.   Keywords: autonomy, performance, motivation, training, labor distribution

scholarly journals Faktor-Faktor yang mempengaruhi Minat Wakaf Masyarakat di Kota Lhokseumawe

2019 ◽  
Vol 3 (2) ◽  
pp. 81
Author(s):  
Falahuddin Falahuddin ◽  
Fuadi Fuadi ◽  
Muhammad Rizki Ramadhan
Keyword(s):  
Data Analysis ◽  
Least Square Method ◽  
Least Square ◽  
Primary Data ◽  
Test Results ◽  
Analysis Method ◽  
Religious Knowledge ◽  
Ordinary Least Square ◽  
Insignificant Effect ◽  
Community Interest

This research is to find out the factors that influence the community Waqf Interest in Lhokseumawe City. The data used are primary data with a sample of 100 respondents. The data analysis method uses multiple linear regression with OLS (Ordinary Least Square) method. The results showed that community religious knowledge had a positive and not significant effect on waqf interest in Lhokseumawe. Perception of Waqf has a positive and insignificant effect on community Waqf Interest in Lhokseumawe City, and Revenue has a positive and insignificant effect on Waqf Community Interest in Lhokseumawe City. The determination test results used were 4%. Keywords: Wakaf Interests, Religiosity Knowledge, Wakif Perception, Income.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

THE EFFECT OF EDUCATION, HEALTH, UNEMPLOYMENT AND INFRASTRUCTURE ON POVERTY IN BENGKAYANG REGENCY

2019 ◽  
Vol 1 (1) ◽  
pp. 17-25
Author(s):  
Deffrinica Deffrinica
Keyword(s):  
Least Squares Method ◽  
Education Sector ◽  
Least Square ◽  
Path Coefficient ◽  
Hospital Services ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
The Government ◽  
Poverty Levels ◽  
Positive Effect

Education  (X1) shows the results of the analysis of poverty (Y) in Bengkayang Regency. Not significant when viewed from the results of the t test partially can be obtained to count to the value of the Education Sector, -1.449> 1.796 so that education has a positive and not significant effect on poverty, which is supported by a significant level of 0.385 <0.050. This shows that the Education Sector variable has no significant effect on Poverty (Y). Health (X2) has a negative and significant effect on Poverty, which is supported by the Probability Value (sig) of 0.437 <0.050. This means that in terms of health, the government in this case has made every possible effort  for budget expenditures , but in fact in the field there are still many underprivileged people who have not been able to enjoy maximum hospital services. The results of the analysis of the direct effect of Unemployment (X3) on Poverty in Bengkayang Regency showed insignificant influence. The results of the analysis show that this path has a significant effect because the value of t count is 1,217, while the table is 1,796 (t count 1,217> t table 1,796), thus in this direct relationship pattern, unemployment has a positive effect not significant to poverty, which is supported by Probability Value (sig) 0.371> 0.050. The results of the analysis of direct influence of Infrastructure (X4) on poverty levels in Bengkayang Regency show that the path coefficient between Infrastructure and poverty is 0.804> 0.050, which means that the pathway has a negative and insignificant effect. The method used to analyze this research is linear regression with the least squares method usually known as OLS (Ordinary Least Square), which is a method used to determine the effect of an independent variable on the dependent variable.

Islamic calendar and stock market behaviour in India

2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy
Keyword(s):  
Stock Market ◽  
Least Square Method ◽  
Least Square ◽  
Stock Market Returns ◽  
Content Type ◽  
Ordinary Least Square ◽  
Average Return ◽  
Year Effect ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

scholarly journals PENERAPAN METODE BOOTSTRAP RESIDUAL DALAM MENGATASI BIAS PADA PENDUGA PARAMETER ANALISIS REGRESI

2014 ◽  
Vol 3 (4) ◽  
pp. 130
Author(s):  
NI MADE METTA ASTARI ◽  
NI LUH PUTU SUCIPTAWATI ◽  
I KOMANG GDE SUKARSA
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Confidence Intervals ◽  
Bootstrap Method ◽  
Least Square ◽  
Prediction Tool ◽  
Analysis Method ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
Parameter Estimators

Statistical analysis which aims to analyze a linear relationship between the independent variable and the dependent variable is known as regression analysis. To estimate parameters in a regression analysis method commonly used is the Ordinary Least Square (OLS). But the assumption is often violated in the OLS, the assumption of normality due to one outlier. As a result of the presence of outliers is parameter estimators produced by the OLS will be biased. Bootstrap Residual is a bootstrap method that is applied to the residual resampling process. The results showed that the residual bootstrap method is only able to overcome the bias on the number of outliers 5% with 99% confidence intervals. The resulting parameters estimators approach the residual bootstrap values ??OLS initial allegations were also able to show that the bootstrap is an accurate prediction tool.

scholarly journals Agriculture, Manufacturing and Economic Growth in Nigeria

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Atayi Abraham Vincent ◽  
Keyword(s):  
Government Spending ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Research Work ◽  
Least Square Method ◽  
Least Square ◽  
Ordinary Least Square ◽  
Positive Effects ◽  
The Government ◽  
Positive Effect

This research work address the positive effect of Agriculture on the manufacturing sector in Nigeria. The study made used of Ordinary Least Square Method estimation techniques. The findings showed that Agricultural output, government spending on agriculture, and real gross domestic product all have positive effects on the manufacturing sector. The effects is RGDP 66percent, AGRQ by 63%, and GOEXA by 96 percent. The study recommends among other things that government should allocate more resources to the Nigerian agricultural sector and ensure that the funds are judiciously use and that the government should also seek to strengthen its incentives for the manufacturing sector in order to promote increased industrial production and growth.

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