scholarly journals The Effect of Training and Development in Improving the Image of the Company

2017 ◽  
Vol 1 (3) ◽  
pp. 71-101
Author(s):  
Amela Mohsen Naji ◽  
Aziz Saleh Salman Al - Baaj
Keyword(s):  
Standard Deviation ◽  
Correlation Coefficient ◽  
Impact Analysis ◽  
Mental Image ◽  
Training And Development ◽  
Arithmetic Mean ◽  
Corporate Image ◽  
Coefficient Of Determination ◽  
Relative Importance ◽  
Training Process

The study aims to demonstrate the importance of training and development to improve the corporate image in the minds of customers, and impact analysis and correlation of training and development in the image of the company, and the study was conducted in two rational and Assyria, the formations and the Ministry of Construction and Housing and public municipalities, and adopted the questionnaire as a tool for the study, which distributed 105 identification of the respondents the two companies were retrieving 83 questionnaire and ruled out a number 2 questionnaire for non-compliance with the conditions, bringing to the total number of sample 81 Mbhotha. "were used in the study statistical methods percentage, the arithmetic mean is likely, the standard deviation, the relative importance, ratios correlation coefficient (Spearman) F test, Spss program and coefficient of determination R2%, it found a number of conclusions of the most important interest of the two companies are actively training and development Alambhottin with weakness in the support of the trainees before, during and after the training process, and finally the study came out a set of recommendations including the provision of adequate support by the management of the trainees before, during and after the training process and the need to increase interest in actively training and development for workers being reflected positively on the mental image of the company among customers.

scholarly journals Improving Customer Satisfaction in Circle-K Companies Through Services in Indonesia

2020 ◽  
Vol 7 (2) ◽  
pp. 82-90
Author(s):  
Arif Rahman ◽  
Fajri Ariandi ◽  
Jaka Santosa ◽  
Roynaldi Arista
Keyword(s):  
Customer Satisfaction ◽  
Correlation Coefficient ◽  
Research Method ◽  
Quantitative Method ◽  
Corporate Image ◽  
Test Reliability ◽  
Coefficient Of Determination ◽  
Quality Service ◽  
Service Data ◽  
Test Correlation

This study aims to determine the influence of service to customers satisfaction at PT Circelka Utama Jakarta main Outlets Circle K Regatta Apartement Jakarta.The research method used is descriptive quantitative method. The author used SPSS Version 21 to calculate the validity test, reliability test, correlation coefficient test, test coefficient of determination, and test the regression equation. The service applied has been running well based on the result of calculation of correlation coefficient of 0.689 with error 5% table 0.689>0.20, then there is a strong correlation. Based on the coefficient of determination obtained result 0.474 or 47% value of the amount of customer satisfaction by service data, while the remaining 53% was influenced by other factors such as price, promotion, and corporate image. Based on the research showed the quality service which includes the tangible, realibility, responsive, assurance, and emphaty to depend on the particular satisfaction simultaneously. Emphaty dimension is variable which influences with full and has the biggest impact on customers satisfaction Circle K of Regatta Apartment Jakarta.

Prediction Models for Truck Accidents at Freeway Ramps in Washington State Using Regression and Artificial Intelligence Techniques

1998 ◽  
Vol 1635 (1) ◽  
pp. 30-36 ◽  
Author(s):  
Wael H. Awad ◽  
Bruce N. Janson
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Linear Regression ◽  
Prediction Models ◽  
Washington State ◽  
Training Data ◽  
Coefficient Of Determination ◽  
Training Process ◽  
Truck Accidents ◽  
High Level

Three different modeling approaches were applied to explain truck accidents at interchanges in Washington State during a 27-month period. Three models were developed for each ramp type including linear regression, neural networks, and a hybrid system using fuzzy logic and neural networks. The study showed that linear regression was able to predict accident frequencies that fell within one standard deviation from the overall mean of the dependent variable. However, the coefficient of determination was very low in all cases. The other two artificial intelligence (AI) approaches showed a high level of performance in identifying different patterns of accidents in the training data and presented a better fit when compared to the regression model. However, the ability of these AI models to predict test data that were not included in the training process showed unsatisfactory results.

Peran Faktor Pendorong Pada Keputusan Berkunjung Ke Kebun Raya Bogor

2021 ◽  
Vol 4 (1) ◽  
pp. 17
Author(s):  
Yuviani Kusumawardhani ◽  
Alma Alviana
Keyword(s):  
Correlation Coefficient ◽  
Significant Influence ◽  
Strong Correlation ◽  
Quantitative Research ◽  
Hypothesis Test ◽  
Botanical Garden ◽  
Coefficient Of Determination ◽  
Driving Factor ◽  
Motivating Factors ◽  
Botanical Gardens

<p>Bogor Botanical Garden is one of the icons of the Bogor City. Bogor Botanical Garden is a tourist site that has a forest concept but is located in the center of Bogor City so that access to Bogor Botanical Garden is easily accessible. Bogor Botanical Gardens is located in Ir. H. Juanda number 13, Bogor, West Java, Indonesia. This study was conducted to determine the effect of the Motivation Driving Factor on the Decision to Visit in Bogor Botanical Garden.</p><p>This research uses quantitative research, with descriptive methods. Many of the samples studied were 100 respondents who had visited Bogor Botanical Gardens.</p><p>Based on the results of the study it was concluded that from the results of the hypothesis test (T-Test) conducted by the researcher produced a tcount of 10.463&gt; Ttable 1.98447. This shows that there is a significant influence between the Motivating Factors for Visiting Decisions. The influence of motivating factors on the decision to visit Bogor Botanical Gardens with a strong correlation coefficient of 0.726 because it is between 0.600-0.799. The coefficient of determination or the percentage of influence of the Factors Driving Tourist Motivation (X) Decision to Visit (Y) is 52.8%. Meanwhile, the remaining 47.2% is influenced by other variables not examined in this research.</p>

PENGARUH PERSONAL SELLING TERHADAP PENCAPAIAN TARGET PENJUALAN (STUDI KASUS PT. SETIAWAN SEDJATI)

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Ranty Octavianita ◽  
Eki Dudi Darmawan
Keyword(s):  
Data Collection ◽  
Correlation Coefficient ◽  
Research Method ◽  
Quantitative Methods ◽  
Personal Selling ◽  
Strong Relationship ◽  
Regression Equation ◽  
T Test ◽  
Coefficient Of Determination ◽  
Sample Data

The existence of instability in the value of sales is an important evaluation that must be carried out by management. The purpose of this study is to determine the effect of Personal Selling on Sales Targets at PT. Setiawan Sedjati. The location of data collection is done at PT. Setiawan Sedjati Bandung. The research method uses quantitative methods. This research is a descriptive correlation with sample data collection using the Slovin formula. A total of 67 respondents were used as samples in this study consisting of employees of the marketing division and customers of PT. Setiawan Sedjati. The existing samples were then processed using SPSS Statistic Software version 26. Based on the processed data, the results of the regression equation Y = 20.478 + 0.182x. Then the correlation coefficient value of 0.747, it can be said that these results have a strong relationship between variables. The value of the coefficient of determination is 55.8%. The calculated value of 9.068 > 2.6512 this result shows a significant increase between variables on the t-test. It can be concluded that H1 accepted and H0 rejected, namely the variable personal selling. The variable personal selling has an influence on sales.

Linear discontinuous ground deformation detection based on coherence analysis of pre and post event radar image pairs

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Bartosz Apanowicz
Keyword(s):  
Standard Deviation ◽  
Correlation Coefficient ◽  
Underground Mining ◽  
Ground Deformation ◽  
Satellite Image ◽  
Coherence Analysis ◽  
Radar Images ◽  
Research Areas ◽  
Previous State ◽  
Signal Correlation

Abstract The article presents information on how to use satellite interferometry to detect linear discontinuous ground deformation [LDGD] caused by underground mining. Assumptions were made based on the properties of the SAR signal correlation coefficient (coherence). Places of LDGD have been identified based on these assumptions. Changes taking place on the surface between two acquisitions lead to worse correlation between two radar images. This results in lower values of the SAR signal correlation coefficient in the coherence maps. Therefore, it was assumed that the formation of LDGD could reduce the coherence value compared to the previous state. The second assumption was an increase in the standard deviation of coherence, which is a classic measurement of variability. Therefore any changes in the surface should lead to increasing standard deviation of coherence compared to the previous state. Images from the Sentinel-1 satellite and provided by the ESA were used for analysis. The research is presented on the basis of two research areas located in the Upper Silesian Coal Basin in the south of Poland. The area in which LDGD could occur was limited to 6 % of the total area in case 1 and 36 % in case 2 by applying an appropriate methodology of satellite image coherence analysis. This paper is an introduction to the development of a method of detecting LDGDs caused by underground mining and to study these issues further.

Clinical evaluation of the repeatability of ocular aberrometry obtained with a new pyramid wavefront sensor

2018 ◽  
Vol 29 (6) ◽  
pp. 585-592 ◽  
Author(s):  
Ana B Plaza-Puche ◽  
Liberdade C Salerno ◽  
Francesco Versaci ◽  
Daniel Romero ◽  
Jorge L Alio
Keyword(s):  
Standard Deviation ◽  
Correlation Coefficient ◽  
Intraclass Correlation Coefficient ◽  
Pupil Size ◽  
Pupil Diameter ◽  
Intraclass Correlation ◽  
Wavefront Sensor ◽  
Mean Square ◽  
The Subject ◽  
Healthy Eyes

Purpose:To evaluate the intrasubject repeatability of the ocular aberrometry obtained with a new ocular pyramidal aberrometer technology in a sample of normal eyes.Methods:A total of 53 healthy eyes of 53 subjects with ages ranging from 18 to 45 years were included in this study. In all cases, three consecutive acquisitions were obtained. Intrasubject repeatability of the measurements with a pyramidal aberrometer was calculated. Intrasubject repeatability for 4.0- and 6.0-mm pupils was evaluated within the subject standard deviation (Sw) and intraclass correlation coefficient.Results:Low values of the Swand intraclass correlation coefficient outcomes close to 1 were observed for the sphere and cylinder at 3.0-mm pupil size. Most low Swand intraclass correlation coefficient values close to 1 were observed for total, low-order aberrations and higher-order aberrations root mean square and for each Zernike coefficient analysis (intraclass correlation coefficient ⩾0.798) at 4.0-mm pupil size, with more limited outcomes for the aberrometric coefficient of Z(4, 4) with an intraclass correlation coefficient of 0.683. For a 6.0 mm pupil diameter, low Swand intraclass correlation coefficient values close to 1 were observed for all aberrometric parameters or Zernike coefficients analyzed (intraclass correlation coefficient ⩾0.850).Conclusion:The new pyramidal aberrometer Osiris provides repeatable and consistent measurements of ocular aberrometry measurements in normal eyes.

scholarly journals Statistical analysis of solid waste composition data: Arithmetic mean, standard deviation and correlation coefficients

2017 ◽  
Vol 69 ◽  
pp. 13-23 ◽  
Author(s):  
Maklawe Essonanawe Edjabou ◽  
Josep Antoni Martín-Fernández ◽  
Charlotte Scheutz ◽  
Thomas Fruergaard Astrup
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Solid Waste ◽  
Correlation Coefficients ◽  
Arithmetic Mean ◽  
Composition Data ◽  
Waste Composition

scholarly journals PENGARUH BAURAN PROMOSI, KUALITAS PELAYANAN, DAN CITRA PERUSAHAAN TERHADAP KEPUASAN JAMAAH UMROH AL-SHAHBA MALANG MELALUI KEPERCAYAAN JAMAAH SEBAGAI VARIABEL INTERVENING

2020 ◽  
Vol 14 (2) ◽  
pp. 161-172
Author(s):  
Maulidia Wulan Anggraini ◽  
Tin Agustina Karnawati ◽  
Widi Dewi Ruspitasari
Keyword(s):  
Data Collection ◽  
Service Quality ◽  
Path Analysis ◽  
Significant Influence ◽  
Sampling Technique ◽  
Corporate Image ◽  
Coefficient Of Determination ◽  
Purposive Sampling ◽  
Independent Variables ◽  
Variable Population

The purpose of the research is to determine the effect of the promotion mix, service quality, and company image toward satisfaction of Al-Shahba Malang pilgrims through the pilgrims’ trust as an intervening variable. Population of this research is based on consumer who choosing and using Al-Shahba Malang’s umrah package in 2016-2018 as many 276 people. Sample used in this research covers 163 consumer using purposive sampling technique. In this research, the data collection techniques is by questionnaires, interviews, observations, and documentations. The data gained from questionnaires was analyzed by using instrument test, path analysis, hypoteshis testing and the coefficient of determination with SPSS 21.0 version. The research proves that the three independent variables : promotion mix, service quality, and corporate image, has a positive and significant influence on the pilgrims’ trust. The promotion mix, service quality, and corporate image has a positive and significant influence on the pilgrims’ satisfaction. The pilgrims’ trust has a positive and significant influence on the pilgrims’ satisfaction. And the promotion mix, service quality, corporate image has a positive and significant indirect influence on the pilgrims’ satisfaction through pilgrims’ trust as an intervening variable.

scholarly journals Sustainable Learning Levels of High School Students

2019 ◽  
Vol 10 (1) ◽  
pp. 63-80
Author(s):  
Menekşe Eskici
Keyword(s):  
High School ◽  
High School Students ◽  
Standard Deviation ◽  
Significant Variation ◽  
Arithmetic Mean ◽  
Female Students ◽  
School Students ◽  
Cognitive Subscale ◽  
Academic Year ◽  
One Way Anova

Abstract The aim of this study was to determine sustainable learning levels of students. The study also attempted to determine sustainable learning levels of students based on gender and grade. The participants of the study consisted of 742 high school students (354 females and 388 males) in various high schools in Babaeski district of Kırklareli, Turkey during the 2017–2018 academic year. In order to collect data, a scale with two subscales – behavioural and cognitive – was developed. The data were analysed through SPSS 17, and arithmetic mean, standard deviation, t-test and one-way analysis of variance (One Way Anova) were used. According to the results of the study, it is concluded that sustainable learning level of the high school students is moderate. The study also found a significant variation in favour of the female students in “learning for development” subdimension on the cognitive subscale of the scale.

scholarly journals Application of descriptive statistics in analysis of experimental data

2008 ◽  
Vol 62 (1-2) ◽  
pp. 85-95
Author(s):  
Milorad Mirilovic ◽  
Ivana Pejin
Keyword(s):  
Experimental Data ◽  
Statistical Analysis ◽  
Standard Deviation ◽  
Arithmetic Mean ◽  
Descriptive Statistics ◽  
Qualitative Investigation ◽  
Scientific Methods ◽  
The Subject ◽  
Variation Interval ◽  
Descriptive Statistical Analysis

Statistics today represent a group of scientific methods for the quantitative and qualitative investigation of variations in mass appearances. In fact, statistics present a group of methods that are used for the accumulation, analysis, presentation and interpretation of data necessary for reaching certain conclusions. Statistical analysis is divided into descriptive statistical analysis and inferential statistics. The values which represent the results of an experiment, and which are the subject of observation of a certain occurrence, are called parameters and they are divided into descriptive and numerical. All numerical parameters are divided into non-continuous and continuous. The graphic presentation of the distribution of frequencies can be by poligon or histogram. The most frequently applied descriptive statistical methods are: arithmetic mean, standard deviation, standard error of arithmetic mean, variation coefficient, and variation interval.

Sign in / Sign up

Export Citation Format

Share Document