scholarly journals An Empirical Study on Financing Preference of Listed Military Industry Enterprises in China

2018 ◽  
Vol 176 ◽  
pp. 03006
Author(s):  
Li-Na Chen ◽  
Ying Lei
Keyword(s):  
Factor Analysis ◽  
Linear Regression ◽  
Empirical Study ◽  
Empirical Analysis ◽  
Regression Method ◽  
Linear Regression Method ◽  
Analysis Method ◽  
Internal Factors ◽  
Military Industry ◽  
Financing Preference

Financing is an important part in the development of military enterprises, and it plays an important role in the development of military enterprises. By using empirical analysis method, 22 companies are selected as samples. The factor analysis and multivariate linear regression method are used to quantitatively analyze the internal factors of the company. These internal factors affect the financing preference of listed companies in China’s military industry. Then conclusions are drawn and relevant suggestions are put forward.

scholarly journals DETERMINASI DANA SYIRKAH TEMPORER TERHADAP BAGI HASIL PADA PT. BANK BRI SYARIAH

2020 ◽  
Vol 9 (2) ◽  
pp. 19
Author(s):  
Nur Aisyah ◽  
Munardi Munardi
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Secondary Data ◽  
Financial Statements ◽  
Profit Sharing ◽  
Regression Method ◽  
Linear Regression Method ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Data Analysis Method

This study aims to determine the effect of temporary Syirkah funds on profit-sharing rates at PT. Bank BRI Syariah. This study uses secondary data in the form of quarterly financial statements for 2012- 2018 accessed on www.bi.go.id and www.brisyariah.co.id. The data analysis method used is a simple linear regression method with the help of Eviews. The results of the study partially show that temporary Syirkah funds significantly influence profit-sharing rates at PT. BRI Syariah Bank.

scholarly journals Service Quality Towards Bank Customer Loyalty (Empirical Study at BNI USU Medan)

2019 ◽  
Vol 4 (5) ◽  
Author(s):  
Dedy Ansari Harahap ◽  
Ratih Hurriyati ◽  
Disman , ◽  
Vanessa Gaffar ◽  
Dita Amanah
Keyword(s):  
Linear Regression ◽  
Empirical Study ◽  
Service Quality ◽  
Customer Loyalty ◽  
Regression Method ◽  
Quantitative Approach ◽  
Linear Regression Method ◽  
Simple Linear Regression ◽  
Good Service

This study aims to analyze the influence of service quality on customer loyalty at PT. BNI (Persero), Tbk USU Medan. This study used a quantitative approach with an explanatory type of research. The sample were 120 respondents and processed statistically using simple linear regression method. The results show that service quality positively has a significant effect on customer loyalty. These findings indicate that good service quality will encourage the interest of customers to conduct transactions continuously and repeatedly in the present and future in a bank.

scholarly journals PENGARUH KOMPENSASI, MOTIVASI DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN PADA PT. HADJI KALLA CABANG PALU

2020 ◽  
Vol 5 (1) ◽  
pp. 69-78
Author(s):  
Nurrahmi Utami Tamping ◽  
Syahrir Natsir ◽  
Risnawati Risnawati
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Census Data ◽  
Regression Method ◽  
Coefficient Of Determination ◽  
Linear Regression Method ◽  
Test Results ◽  
Analysis Method ◽  
Significance Level ◽  
Multiple Linear Regression Method

The purpose of this study is to analyze and determine the effect of employee compensation, motivation and work discipline variables on PT. Hadji Kalla Branch Palu. The population used in this study is 46 respondents, the entire population is made as respondents (census). Data analysis method used in this research is multiple linear regression method using the help of SPSS for Windows Relase 20.0 program. Hypothesis testing used has a significance level of α = 0.05. The test results obtained that simultaneously compensation, motivation and work discipline affect performance, with the regression equation of Y = α + b1X1 + b2X2 + b3X3 or Y = 2,338 + 0,718 (X1) + 0,164 (X2) + 0,162 (X3) and with the level The coefficient of determination (R2) is 0.679 or 67.9% while the remaining 32.1% is influenced by other variables not observed in this study. Partially with the standard obtained the results of research X1, X2 and X3 have an effect on Y with a significance value of X1 of 0.00, X2 of 0.03 and X3 of 0.00.Tujuan penelitian ini untuk menganalisis dan mengetahui Pengaruh variabel kompensasi, motivasi dan disiplin kerja kinerja karyawan pada PT. Hadji Kalla Cabang Palu. Populasi yang digunakan dalam  penelitian ini  yaitu 46 responden, seluruh populasi dijadikan responden (sensus). Metode analisis data yang digunakan dalam penelitian ini adalah metode regresi linier berganda menggunakan bantuan dari program SPSS for Windows Relase 20,0. Uji hipotesis yang digunakan mempunyai taraf signifikansi α = 0,05. Hasil pengujian diperoleh bahwa secara serempak  kompensasi, motivasi dan disiplin kerja berpengaruh terhadap kinerja, dengan persamaan regresi sebesarY = α + b1X1 + b2X2+ b3X3 atau Y = 2,338 + 0,718(X1)+ 0,164(X2) + 0,162(X3)dan dengan tingkat koefisien determinasi (R2) sebesar 0,679 atau 67,9% sedangkan sisanya 32,1% dipengaruhi oleh variabel lain yang tidak diamati dalam penelitian ini. Secara parsial dengan standar diperoleh hasil penelitian X1, X2  dan X3 berpengaruh terhadap Y dengan nilai  signifikansi X1sebesar 0,00, X2  sebesar 0,03 dan X3 sebesar 0,00.

scholarly journals ANALISIS PENGARUH WAKAF PRODUKTIF TERHADAP KESEJAHTERAAN MASYARAKAT DI MUKIM MATANG PANYANG

2020 ◽  
Vol 21 (2) ◽  
pp. 144-154
Author(s):  
Munardi Munardi ◽  
Damanhur Damanhur ◽  
Mulyana Fitri
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Correlation Coefficient ◽  
Sampling Technique ◽  
Strong Relationship ◽  
Regression Method ◽  
Primary Data ◽  
Linear Regression Method ◽  
Analysis Method ◽  
Simple Linear Regression

This study aimed to determine the effect of productive endowment on community welfare in Matang Panyang. This study used primary data obtained by distributing questionnaires to 30 respondents who were selected using the Purposive sampling technique. The data analysis method used was a simple linear regression method with the help of EVIEWS. Based on the test of the correlation coefficient of 0.837835, it showed that productive endowment had a strong relationship to improve community welfare. Based on the coefficient determination test, it showed that productive endowment had an effect of 70.19% on community welfare. From the results of the study, it revealed that productive endowment (X) significantly influenced the welfare community (Y). Based on the t-value of 8.120918 and the t-table value of 2.04841 with a significant level of 0.0000, it concluded that these tests accepted Ha and rejected Ho.

Analisis Keterlambatan Pada Proyek Apartemen Berkonsep Transit Oriented Development (TOD)

2020 ◽  
Vol 19 (1) ◽  
pp. 63-70
Author(s):  
Bagas Prawiro Dwiputranto ◽  
I Ketut Sucita
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Significant Influence ◽  
Regression Method ◽  
External Factors ◽  
Dominant Factor ◽  
Linear Regression Method ◽  
Analysis Method ◽  
Transit Oriented Development ◽  
Multiple Linear Regression Method

The problem in the The Conexio Cikunir 1 Apartment project which has the concept of Transit Oriented Development (TOD) was had delayed, which should have been 100% contractually completed, but only 46.231% have been realized. Based on these percentages, required an analysis of the dominant factors that causes of delayed in this project. This study has purpose to determine the dominant factor influencing the variables causing project delayed. Questionnaires were distributed to the respondents consisting of the contractors, owners and supervisory consultants involved in the apartment construction project. The results of the questionnaires were processed using SPSS 25 software. The data analysis method used is multiple linear regression method. The results of the research shows that factors which fulfilled on the partial test (t test) and has a significant influence is document of works variable (5.792 ) . This value has the highest rank of significance value for project delayed. Futhermore is planning & scheduling variable (2,805), equipments variable (2,482), managerial variable (2.324), materials variable (2,248), and external factors variable (2.094). The result of Adjusted R Square of 62.70% shows that the Factors that Causes of Delayed can affect the Project Delay variable by 62.70%, while the remaining 37.30% is affected by other variables not examined in this study.

Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

2018 ◽  
Vol 6 (6) ◽  
pp. 119
Author(s):  
Mohammad Shohidul Islam ◽  
Sultana Easmin Siddika ◽  
S M Injamamul Haque Masum
Keyword(s):  
Linear Regression ◽  
Correlation Coefficients ◽  
Rain Gauge ◽  
Regression Method ◽  
Linear Regression Method ◽  
Climate Data ◽  
Rainfall Forecasting ◽  
Statistical Parameters ◽  
Time Duration ◽  
Rainfall Prediction

Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

An alternative model of the vibronic coupling in octahedral complexes

1988 ◽  
Vol 53 (6) ◽  
pp. 1134-1140
Author(s):  
Martin Breza ◽  
Peter Pelikán
Keyword(s):  
Linear Regression ◽  
Alternative Model ◽  
Potential Surface ◽  
Analytical Formula ◽  
Coupling Model ◽  
Regression Method ◽  
Vibronic Coupling ◽  
Linear Regression Method ◽  
Active Systems ◽  
Jahn Teller

It is suggested that for some transition metal hexahalo complexes, the Eg-(a1g + eg) vibronic coupling model is better suited than the classical T2g-(a1g + eg) model. For the former, alternative model, the potential constants in the analytical formula are evaluated from the numerical map of the adiabatic potential surface by using the linear regression method. The numerical values for 29 hexahalo complexes of the 1st row transition metals are obtained by the CNDO/2 method. Some interesting trends of parameters of such Jahn-Teller-active systems are disclosed.

The Accuracy Assessment of Weapon System Using Grey Linear Regression Method

2012 ◽  
Vol 268-270 ◽  
pp. 1809-1813
Author(s):  
Dai Yu Zhang ◽  
Bao Wei Song ◽  
Zhou Quan Zhu
Keyword(s):  
Linear Regression ◽  
Fuzzy Theory ◽  
Accuracy Assessment ◽  
Regression Method ◽  
Small Sample ◽  
Easy Access ◽  
Linear Regression Method ◽  
Grey Theory ◽  
Weapon System ◽  
Complex Engineering

The accuracy assessment of weapon system is always a complex engineering. How to make the most of the information given in only a few tests and obtain reasonable estimate is always a problem. Based on the fuzzy theory and grey theory, a grey linear regression method is presented. From the numerical example, we can see that this method provides an easy access to deal with data in small sample case and may have potential use in the analysis of weapon performance.

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