scholarly journals ANALISIS PENGARUH KARAKTERISTIK INDIVIDU TERHADAP MOTIVASI (STUDI PADA PEGAWAI POLITEKNIK ILMU PELAYARAN SEMARANG)

2018 ◽  
Vol 9 (1) ◽  
pp. 2197-2203
Author(s):  
Janny Adriani Djari
Keyword(s):  
Linear Regression ◽  
Positive Influence ◽  
Individual Characteristic

This research aim to to know individual characteristic influence to motivation ofPoliteknik Ilmu Pelayaran Semarang. Research regarding do individual characteristic influence intervening motivation andwork characteristic to labour capacity take population officer of Politeknik Ilmu PelayaranSemarang amounting to 218 people. Intake of sample with sampling random techniquerepresenting technique intake of sample at random with determination of is amount of sampelused by slovin formula obtained by 142 responder. As for data obtained with kuesioner withdata analysis use linear regression. Pursuant to research which have been done by hence can be obtained by the followingconclusion is existence of positive influence and signifikan between individual characteristicto motivation.

scholarly journals ANALISIS PENGARUH KARAKTERISTIK INDIVIDU DAN KARAKTERISTIK PEKERJAAN TERHADAP PRESTASI KERJA (STUDI PADA PEGAWAI POLITEKNIK ILMU PELAYARAN SEMARANG)

2017 ◽  
Vol 7 (2) ◽  
pp. 1666-1674
Author(s):  
Janny Adriani Djari
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Positive Influence ◽  
Individual Characteristic ◽  
Work Characteristic

As for target of this research to analyse individual characteristic influence to labour  capacity of Politeknik Ilmu Pelayaran Semarang and to analyse work characteristic influence to  labour capacity of Politeknik Ilmu Pelayaran Semarang.  Research regarding do individual characteristic influence intervening motivation and work  characteristic to labour capacity take population officer of Politeknik Ilmu Pelayaran Semarang  amounting to 218 people. Intake of sample with sampling random technique representing  technique intake of sample at random with determination of is amount of sampel used by slovin  formula obtained by 142 responder. As for data obtained with kuesioner with data analysis use  linear regression.  Pursuant to research which have been done by hence can be obtained by the following  conclusion is existence of positive influence and signifikan between individual characteristic and  work characteristic to labour capacity.   

scholarly journals ANALISIS PENGARUH KARAKTERISTIK INDIVIDU TERHADAP PRESTASI KERJA (STUDI PADA PEGAWAI POLITEKNIK ILMU PELAYARAN SEMARANG)

2017 ◽  
Vol 7 (2) ◽  
pp. 1675-1681
Author(s):  
Firdaus Sitepu ◽  
Janny Adriani Djari
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Positive Influence ◽  
Individual Characteristic ◽  
Work Characteristic

This research aim to know individual characteristic influence to labour capacity Politeknik  Ilmu Pelayaran Semarang. Research regarding do individual characteristic influence  intervening motivation and work characteristic to labour capacity take population officer of  Politeknik Ilmu Pelayaran Semarang amounting to 218 people. Intake of sample with sampling  random technique representing technique intake of sample at random with determination of is  amount of sampel used by slovin formula obtained by 142 responder. As for data obtained with  kuesioner with data analysis use linear regression.  Pursuant to research which have been done by hence can be obtained by the following  conclusion is existence of positive influence and signifikan between individual characteristic to  labour capacity. 

scholarly journals The Influence of Woman on Board of Commissioner and Woman on Board of Director on Company Financial Performance

2021 ◽  
Vol 04 (04) ◽  
Author(s):  
Damianus John Seso ◽  
Keyword(s):  
Linear Regression ◽  
Financial Performance ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Positive Influence ◽  
Board Of Director ◽  
Analysis Technique

This study aims to examine the effect of woman on board of commissioner and woman on board of director on company financial performance. This study uses secondary data accessed through IDX.co.id and idnfinancials.com. The population in this study are companies in the manufacturing sector with a span of years 2017-2019. Determination of the sample using purposive sampling method with certain criteria. The final number of samples is 393 data. The analysis technique used in this study is multiple linear regression with the SPSS 25 version. There are two hypothesizes, namely, woman on board of commissioner and woman on board of director have a positive influence on the company's financial performance. The t-test show that both, woman on board of commissioner and woman on board of director did not have positive influence on the company's financial performance. it means that gender doesn’t matter.

FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS AUDIT

2019 ◽  
Vol 5 (1) ◽  
pp. 50-63
Author(s):  
Heru Heryanto ◽  
Nur Laela ◽  
Riana R Dewi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Audit Quality ◽  
Positive Influence ◽  
T Test ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Validity And Reliability ◽  
Test Analysis ◽  
Analysis Technique

This study aims to determine the significance of the influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality. This study uses a questionnaire with a population and sample, namely all auditors who work at the Public Accounting Office (KAP) in the Special Region of Yogyakarta and Surakarta. Sampling techniques using Convenience Sampling with a sample of 61 respondents. The data used in this study is a questionnaire using a Likert scale 1 to 5. The data analysis technique used in this study is multiple linear regression using the SPSSprogram for Windows. The analysis tool in this study using validity and reliability, the classical assumption (normality test, multicollinearity, heteroscedasticity test and autocorrelation test) while the data were analyzed using multiple linear regression test, t test, F test and the coefficient of determination (R2).Based on the results of the t-test analysis performed, it shows that there is a positive influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality and simultaneously competency, independence, professionalism, auditor experience, accountability, and auditor knowledge variables affect quality audit

Analysis of the Effect of Cash Turnover on Liquidity at PT. Pekebun Nusantara VIII, Sukabumi Regency, West Java

2020 ◽  
Author(s):  
endang naryono
Keyword(s):  
Linear Regression ◽  
Correlation Coefficient ◽  
Secondary Data ◽  
Positive Influence ◽  
West Java ◽  
Financial Reports ◽  
A Value ◽  
Ex Post ◽  
Ex Post Facto

Research aims to understand gyrations cash pt .Had provided nusantara viii , liquidity to pt .Had provided nusantara viii , and to know the influence of gyrations cash on the level of liquidity to PT .Perkebunan nusantara VIII sukabumi .The methodology used is the method ex-post facto capital .This research using primary and secondary data obtained from financial reports and non financial from pt .Pekebunan nusantara viii sukabumi .To test hypotheses used linear regression and the correlation with on the spss 15.0 for windows. Based on the results of research shows that there is a positive influence between second match of cash and liquidity pt .Had provided nusantara viii sukabumi .A level of closeness ( correlation ) the second variables strong enough , are r = 0,800 with a value of a correlation coefficient r & gt; 0 it means if cash second match of getting up and liquidity will increase , and vice versa . While from the results of the equation above the results linear regression simple as follows: y = 185,137 + 0,045x means value ( a ) or constant of 185,137 who have the meaning that if cash two zero ( 0 ) or not increased so level of 185,137 liquidity .The score regression ( b ) of 0,045 the show the relation in line that every 1 increase point in cash and two rate rose to 185,137 liquidity

scholarly journals Non-Destructive Micromagnetic Determination of Hardness and Case Hardening Depth Using Linear Regression Analysis and Artificial Neural Networks

Metals ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 18
Author(s):  
Rahel Jedamski ◽  
Jérémy Epp
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Regression Analysis ◽  
Artificial Neural Networks ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Case Hardening ◽  
Artificial Neural ◽  
Non Destructive

Non-destructive determination of workpiece properties after heat treatment is of great interest in the context of quality control in production but also for prevention of damage in subsequent grinding process. Micromagnetic methods offer good possibilities, but must first be calibrated with reference analyses on known states. This work compares the accuracy and reliability of different calibration methods for non-destructive evaluation of carburizing depth and surface hardness of carburized steel. Linear regression analysis is used in comparison with new methods based on artificial neural networks. The comparison shows a slight advantage of neural network method and potential for further optimization of both approaches. The quality of the results can be influenced, among others, by the number of teaching steps for the neural network, whereas more teaching steps does not always lead to an improvement of accuracy for conditions not included in the initial calibration.

Methodology of Estimation of Fire Separation Distances between Construction Facilities by Calculation

2020 ◽  
Vol 1006 ◽  
pp. 93-100
Author(s):  
Vadym Nizhnyk ◽  
Yurii Feshchuk ◽  
Volodymyr Borovykov
Keyword(s):  
Mathematical Model ◽  
Heat Flux ◽  
Linear Regression ◽  
Ignition Temperature ◽  
Oil Products ◽  
Regression Equations ◽  
Fire Load ◽  
Literary Sources ◽  
Tabular Method

Based on analysis of appropriate literary sources we established that estimation of fire separation distances was based of two criteria: heat flux and temperature. We proposed to use “ignition temperature of materials” as principal criterion when determining fire separation distances between adjacent construction facilities. Based on the results derived while performing complete factorial we created mathematical model to describe trend of changing fire separation distances depending on caloric power of fire load (Q), openings factor of the external enclosing structures (k) and duration of irradiation (t); moreover, its adequacy was confirmed. Based on linear regression equations we substantiated calculation and tabular method for the determination of fire separation distances for a facility being irradiated which contains combustible or otherwise non-combustible façade and a facility where liquid oil products turn. We developed and proposed general methodology for estimation of fire separation distances between construction facilities by calculation.

Assessment of efficiency of distribution centre at different variants of freight traffic consolidation

2021 ◽  
pp. 22-27
Author(s):  
Elena Dmitrievna Pserovskaya ◽  
◽  
Anna Pavlovna Grefenshteyn ◽  
Keyword(s):  
Potential Benefit ◽  
High Efficiency ◽  
Positive Influence ◽  
Correct Selection ◽  
Freight Traffic ◽  
Distribution Centre ◽  
Selection Of

For the determination of a potential benefit from creation of a distribution centre the paper proposes a method and presents results of calculation of a decrease of total number of rides and total run of automobiles at various variants of goods consolidation. The authors have established a positive influence of the centre on intracity transportation. At the same time, high efficiency of the considered technology can be reached by involvement of a bigger number of consignees and by consolidation of a relatively small number of goods batches in one automobile at efficient routing and correct selection of location of a distribution centre.

scholarly journals Chemometric approach in the development of the colorimetric method for the estimation of food colorants in meat products

2014 ◽  
Vol 68 (6) ◽  
pp. 781-791 ◽  
Author(s):  
Radivoj Petronijevic ◽  
Vesna Matekalo-Sverak ◽  
Aurelija Spiric ◽  
Ilija Vukovic ◽  
Jelena Babic ◽  
...  
Keyword(s):  
Linear Regression ◽  
Mathematical Models ◽  
Multiple Linear Regression ◽  
Linear Models ◽  
Colorimetric Method ◽  
Meat Products ◽  
Food Colorants ◽  
Food Colorant ◽  
Control Batch

The aim of this research was to develop a novel colorimetric method based on mathematical models, by multiple linear regression (MLR), from the CIE L*a*b* measurements and data of the HPLC determination of food colorants. Calibration set of 10 production batches of finely grinded cooked sausage with food colorants added was manufactured in industrial conditions as follows: one control batch and 9 products with various quantities of added food colorants: E120 (3.4, 7.5 and 12.5 mg/kg), E 124 (5.0, 15.0, 25.0 mg/kg) and E 129 (5.0, 15.0, 25.0 mg/kg). The estimation of the added food colorants was assessed by measuring L*, a*, b* parameters of cross-section. The quantification of food colorants was achieved by HPLC-PDA. Food colorants were extracted from meat products using Accelerated Solvent Extraction (ASE). Quantification of food colorants was achieved in the range from 1 to 100 mg / kg, and recovery values were from 76.15% to 107.04%, for E 120, from 97.61% to 101.03%, for E 124 and from 99.91% to 101.67%, for E 129. Correlation of the results obtained using HPLC and colorimetric measuring data was assessed by Multiple Linear Regression (MLR). The results from colorimetric and chromatographic determinations in four experimental batches (three batches with different quantities of food colorants and one control batch) were used for calibration. Coefficients of determination (R2) for linear models in experimental batches were 0.954, for E 124, 0.987, for E 120 and 0.993, for E 129. Correlation functions of food colorant quantities and corresponding L*a*b* values were established. The obtained mathematical models were tested for the estimation of the content of dyes in 21 samples of finely grinded cooked sausages purchased in retail stores. Food colorants were confirmed in 20 samples (95.24 %), and one sample (4.76 %) did not contain any of these compounds. Out of the positive samples, sixteen samples (80.00 %) contained E 120, while four samples (20.00 %) contained E 129. Food colorant E124 was not established in any of the analyzed samples. Colorimetric CIE L*a*b* method might be used during sensory evaluation of meat products for the assessment of the added food colorants.

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