Coefficient Of Multiple Determination Research Articles

Determining Interest in Using Mobile Banking Applications in the Greater Jakarta

This study aimed to analyze the influence of perceived usefulness, service features, security, and trust on the interest in using mobile banking (e-banking) applications in the Greater Jakarta area. Additionally, it identified the most dominant variable influencing the interest in using the applications. The focus of the investigation was on mobile banking applications offered by BCA and BNI. The method further included the collection of primary data and conducting various tests such as validity, reliability, normality, heteroscedasticity, and multicollinearity testing. Multiple linear regression, determination coefficient, f-test, and t-test were also used with questionnaire instruments. The validated data were obtained from 100 respondents selected through a non-probability survey, specifically using a purposive sampling method. The results showed that perceived usefulness, service features, security, and trust all influenced the interest in using mobile banking in Greater Jakarta. Based on the t-test results and standardized coefficient beta analysis, perceived usefulness evolved as the most dominant variable.

Hectareage Prediction Models for Paddy Crop of Middle Gujarat

The present investigation was undertaken with a view to identify the models for predicting the hectareage of paddy crop of the middle Gujarat region. The investigation was carried out on the basis of secondary data covering the period of nineteen years, (1998-99 to 2016-17). The District level data relating to hectareage, production, productivity and farm harvest prices of paddy were obtained from the published and compiled information by Directorate of Agriculture, Gujarat State, Gandhinagar. The linear multiple regression technique (basically Nerlovian type) was employed. The eight single equation and four simultaneous equation (SE) models were tried for paddy crop, the following models were selected on the basis of the values of adjusted coefficient of multiple determination. SE model-III for paddy is given below.HEPD = 40960.532**** - 10.414*** HEBJ + 0.784 HEMZ - 1.187**** HEPDL + 3.720*** HEBJL + 5.588**** EYPD + 0.866 EYBJ - 6.205*** EYMZ- 6.833**** EPPD + 1.502 EPBJ (R2= 0.946)HEBJ = 3261.298 - 0.061 HEPD + 0.108 HEMZ - 0.093 HEPDL + 0.337 HEBJL + 0.441 EYPD + 0.220 EYBJ - 0.619 EYMZ - 0.594 EPPD + 0.227EPBJ (R2= 0.960)HEMZ = 1816.343 + 0.028 HEPD + 0.147 HEBJ + 0.220 HEBJL + 0.649 HEMZL - 0.120 EYPD - 0.176 EYBJ - 0.092 EYMZ - 0.226 EPMZ - 0.106EPBJ (R2= 0.850)*, **, ***, **** Significant at the 20, 10, 5, 1 percent level of significance, respectivelyFor the selected crops, SE model was recommended for prediction of the current hectareage on the basis of the adjusted coefficient of multiple determination ( R 2). For Paddy hectareage the main affecting factors viz., bajra hectareage, lagged hectareage of paddy, expected yield of maize and expected price of paddy. Expected yield and expected price of paddy were determining factors of bajra hectareage.

Optimizing compressive strength of quaternary-blended cement concrete through ensemble-instance-based machine learning

Optimizing the composition of concrete, particularly when incorporating ordinary Portland cement (OPC) along with supplementary materials such as ground granulated blast furnace slag (BF), fly ash (FA), and silica fume (SF), poses challenges due to the intricate nonlinearity inherent in concrete properties. Addressing this challenge has urged growing interest in employing Machine Learning (ML) techniques for precise property assessment. In this investigation, various predictive models, encompassing eXtra Gradient Boosting (XGB), random forests (RF), and K-Nearest Neighbor (KNN) algorithms were formulated to predict the compressive strength (CS) of ternary-blended concrete incorporating OPC, BF, FA, and SF. Through comprehensive analysis of an extensive dataset comprising 810 distinct records, the study identifies optimal concrete blends, providing invaluable insights for practical applications. Evaluation of ML models underscores the superior performance of XGB, with a coefficient of multiple determination (R2) values of 0.923 and 0.997 for training and testing datasets, respectively, indicative of exceptional predictive accuracy. Additionally, SHAP values underscore the importance of input age, water–binder ratio, and OPC content. This research enhances understanding of ternary-blended concrete characteristics, offering practical implications for construction practices and laying a foundation for future research endeavors to refine ML models, explore attribute interactions, and optimize concrete constituent proportions for broader civil engineering applications.

Analysis of Patient Satisfaction at the Ngudi Sehat Clinic Manang Baki Sukoharjo

Analysis of the Influence of Service Quality on Patient Satisfaction at the Ngudi Sehat Manang Baki Sukoharjo Clinic. This research aims to determine and explain the influence of Service Quality consisting of Reliability, Guarantee, Physical Evidence, Empathy and Responsiveness on Patient Satisfaction at the Ngudi Waras Manang Baki Sukoharjo Clinic. The population of this study was all 257 patients of the Ngudi Sehat Manang Baki Sukoharjo Clinic in 2023 with a sample of 125 people using the Ferdinad formula. Data collection using questionnaires. The data analysis techniques used for statistical analysis are multiple linear regression test, F test, t test, and coefficient of determination. The research results show that service quality has a positive and significant effect on patient satisfaction at the Ngudi Sehat Manang Baki Sukoharjo Clinic. Physical evidence contributed to patient satisfaction by 97%, while the remaining 3% was explained by other variables not proposed in this study. The suggestion from this research is that the Ngudi Sehat Manang Baki Sukoharjo Clinic needs to improve all dimensions of service quality so that patient satisfaction can increase.

Patient Satisfaction The Seger Waras Pratama Clinic in Polokarto Sukoharjo

This research aims to determine the influence simultaneously (simultaneously) and partially of variablestherapeutic communication, service quality, brand image and trust in patient satisfaction at the Pratama Seger Waras Clinic in Polokarto Sukoharjo. This research method uses a quantitative research design. The population in this study were 863 patients at the Pratama Seger Waras Clinic in Polokarto Sukoharjo. The sampling technique used in this research was a purposive sampling technique with a sample size of 86 respondents. Data collection using questionnaires. The data analysis techniques used for statistical analysis are multiple linear regression test, F test, t test, and coefficient of determination. The research results show that therapeutic communication, service quality, brand image and trust simultaneously and significantly influence patient satisfaction at the Pratama Seger Waras Clinic in Polokarto Sukoharjo. Suggestions from this research, Pratama Seger Waras Clinic in Polokarto Sukoharjo continues to improve therapeutic communication, service quality, brand image and existing trust, so that patient satisfaction will increase and be better than before.

Pengaruh Iklan Dan Harga Terhadap Keputusan Pembelian Keramik Pada Depo Jaya Bangunan Kota Mataram

This study aims to determine the effect of Advertising and Price on Purchase Decisions at the Depo Jaya Bangunan in Mataram City. The population in this study were all Depo Jaya Bangunan consumers in the city of Mataram, while the sample of this study was 100 Depo Jaya Bangunan consumers using a probability sampling technique. This type is associative research. This data processing uses SPSS, where validity test, reliability test, classical assumption test, multiple linear regression test, t test and coefficient of determination (R2) test are carried out. Results Based on the analysis test, all variables have a partial effect where Advertising has a positive effect on Purchase Decisions, Price has a significant effect on Purchase Decisions. Based on these results, it is recommended that Depo Jaya Bangunan can reproduce advertising and also continue stabilize prices so that it can make consumers continue to make purchases at Depo Jaya Bangunan

Interaction of integral parameters of physical state and biological age of students aged 17-19 years old in the process of adaptation to standard and experimental physical education programs

Background and Study Aim. The process of adaptation to physical education programs is a critical factor influencing the health and physical development of students. Understanding how these programs affect both the physical state and biological age of students can significantly improve their effectiveness. The aim of the study is to investigate the interaction between integral parameters of physical state (PS) and biological age (BA) of students aged 17-19 years old in the process of adaptation to standard and experimental physical education (PE) programs. Material and Methods. The study involved 140 first-year students of the National University of Telecommunications - 80 males and 60 females. In the course of the research, the indices of functional state, physical fitness (PF) and physical development (PD), biological age (BA) were recorded in young men and women of the control (CG) and experimental (EG) groups. To process the experimental material, methods of dispersion and canonical analysis were used and multiple correlation and determination coefficients were calculated. Results. It was revealed that the impact of PS integral parameters on students' BA is stronger than the inverse influence of BA on PS parameters. The degree of BA reduction under the influence of the studied factors is most pronounced in the EG of girls and boys. The variability of the group of PD and PF indices is accompanied by the variability of most of the BA parameters’ dispersion in all studied groups of students. The factor of gender has the greatest impact on the BA of students. Girls have lower initial values of BA and it’s a more pronounced decrease by the end of the experiment. The effectiveness of the impact of an aerobically oriented experimental program on the improvement of students’ PS and reduction of BA was confirmed. Under the influence of the experimental program, the BA of EG girls decreases to a greater extent in comparison with EG boys and students of both control groups. Changes and differences in BA of boys and girls of EG and CG are due to the combined impact of the factor of PE software and that of adaptation changes of students' PS in the annual process of PE. In the group of boys and girls more pronounced influence on BA in the course of the experiment was produced by the factor of software and adaptation changes, respectively. Conclusions. The gender factor has the strongest impact on students' BA - girls have lower initial values of BA and it’s a more pronounced decrease by the end of the experiment in comparison with boys. Adaptation changes of PS in the process of software implementation are accompanied by a decrease in BA in the experimental groups. One of the criteria and confirmations of the effectiveness of the developed PE program is the degree of mutual influence of PS integral parameters, which is most pronounced in the reduction of BA in the experimental groups of girls and boys.

The Effect of Discount, Promotion, Hedonic Shopping Motivation, Shopping Lifestyle on Impulse Buying on Tiktok Shop Users

The purpose of this study is to determine the effect of discount, promotion, hedonic shopping motivation, shopping lifestyle on impulse buying in Tktok shop users and to determine the most dominant independent variables among variables, namely discount, promotion, hedonic shopping motivation, shopping lifestyle on impulse buying in tiktok shop users This research method uses primary data with the test stages carried out, namely validity test, reliability test, normality test, heteroscedasticity test, multicollinearity test, multiple linear regression, F test, t test and coefficient of determination. Data collection was carried out using a questionnaire instrument with data collected by 161 respondents. The sampling method in this study is non-probability sampling with purposive sampling techniques. The results of this study show that the variables discount, promotion, hedonic shopping motivation, and shopping lifestyle affect impulse buying. The most dominant variable in this study is the shopping lifestyle variable by looking at the value of the shopping lifestyle regression coefficient of 0.751.

The Role of People's Business Credit (Kur) and The Use of E-Marketing For The Development of Msmes In Medan Deli District In Medan City

This research aims to find out whether People's Business Credit has an effect on the development of MSMEs in Medan Deli subdistrict in Medan City, to find out whether E-Marketing has an effect on the development of MSMEs in Medan Deli subdistrict in Medan City, and to find out whether People's Business Credit and E-Marketing have an effect on development of MSMEs in Medan Deli sub-district in Medan City. The type of data for this research is quantitative data. Data analysis techniques in this research are validity test, reliability test, descriptive statistics, classic assumption test (normality test, multicollinearity test, heteroscedasticity test), multiple linear regression analysis, hypothesis testing (t test, f test), and coefficient of determination. The results of this research state that the influence of people's business credit and e-marketing on the development of MSMEs in Medan Deli subdistrict in Medan City is shown by the results of multiple linear regression analysis which means that the variables of people's business credit and e-marketing together have an influence on the development of MSMEs in Medan district. Deli in Medan City.

ANALISIS PENGARUH IKLAN DAN CELEBRITY ENDORSER TERHADAP PENDAPATAN ONLINE SHOP DI KOTA PALU

This study aims to analyze the impact of advertising and Celebrity Endorser on online shop revenue in Palu city. The method used in this research is multiple linear regression analysis. Data was collected through interviews and questionnaires given to 40 online shop actors in Palu city. The data analysis used includes classical assumption test, multiple linear regression test, hypothesis testing, and Determinant coefficient test (R2). The results showed that the advertising variable and the Celebrity Endorser variable contributed 0.49 percent to the revenue of online shops in Palu city. The regression coefficient of the advertising variable is 0.214 which shows a positive influence, while the regression coefficient of the Celebrity Endorser variable is 0.122 which also shows a positive influence. Thus, this study provides evidence that advertising and Celebrity Endorser have an important role in increasing online shop revenue in Palu city. Online shop actors in Palu city can utilize advertising strategies and Celebrity Endorsers to increase their income. This research also contributes to the understanding of the factors that influence online shop revenue and can be a reference for further research in this field.

The Influence of Service Quality And Profit Sharing on Customers' Saving Decisions Bank Syariah Indonesia (BSI) KCP Batam Batu Aji

This study aims to determine the effect of Service quality and profit sharing on saving decision at Bank Syariah Indonesia (BSI) KCP Batam Batu Aji. This study uses a quantitative approach, with a sample of 197 respondents. Data collection techniques in this study are by using a questionnaire distribution. The analysis techniques used in this study includes validity test, reliability test, multiple regression test, F test, t test and coefficient of determination. The data that has fulfilled the analysis techniques was processed using the help of the SPSS 26 program. It can be seen from the results of the statistical test that the service quality and profit sharing independent variables affect the dependent variable of saving decision. The results showed that based on the calculation of the coefficient of determination the influence of the independent variable service quality and profit sharing on the dependent variable of saving decision is 0,532 or 53.2 % which shows that saving decision can be influenced by service quality variable and profit sharing variable. While the remaining 46.8 % is influenced by other variables that do not exist in this study. This shows that service quality and profit sharinghas a significant effect on saving decision. Where if service quality is guaranteed and profit sharing is good will improve saving decision.

PENGARUH GAYA KEPEMIMPINAN DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN

Human resources are the most important asset of a company, in order to achieve the desired goals a company requires good management, especially human resources. Good human resource management is believed to be able to provide optimal performance for the company. This research aims to examine the influence of leadership style and work discipline on employee performance at PT Adi Sarana Armada Tbk (ASSA Rent) Cabang Lampung. This type of research is quantitative research. The population is all 100 employees using a saturated sample. The data collection method used a questionnaire and variable measurement using four Likert scales which were distributed to employees of PT Adi Sarana Armada Tbk (ASSA Rent) Cabang Lampung. Data processing and analysis techniques use validity tests, reliability tests, partial tests (T), simultaneous tests (F), multiple linear regression analysis and coefficient of determination. The research results show that simultaneously, the Leadership Style and Work Discipline variables have a positive and significant effect on the employee performance of PT Adi Sarana Armada Tbk (ASSA Rent) Cabang Lampung. Partially, the Leadership Style and Work Discipline variables have a positive and significant effect on the Employee Performance of PT Adi Sarana Armada Tbk (ASSA Rent) Cabang Lampung

PENGARUH KONFLIK KERJA DAN STRES KERJA TERHADAP KINERJA PEKERJA GEN Z DI BANDAR LAMPUNG

Human resources are the most important asset of a company, in order to achieve the desired goals a company requires good management, especially human resources. Good human resource management is believed to be able to provide optimal performance for the company. This research aims to examine the influence of work conflict and work stress on the performance of Gen Z workers in Bandar Lampung. This type of research is quantitative research. The research was conducted on all Bandar Lampung employees with a total of 160 respondents. The data collection technique is using a questionnaire distributed to Gen Z workers with employee status in Bandar Lampung. Data processing and analysis techniques use validity tests, reliability tests, partial tests (T), simultaneous tests (F), multiple linear regression analysis and coefficient of determination. The research results show that partially work conflict has no significant effect on employee performance and partially work stress has a significant effect on employee performance. Simultaneously, work conflict and work stress have a significant effect on employee performance.

The Influence of Human Relations and Work Discipline on Employee Performance at the Office of Kemantren City of Yogyakarta

This research aims to investigate the impact of human relations and work discipline on employee performance, utilizing a quantitative approach and questionnaire-based data collection method. The sample comprises 77 employees from the Yogyakarta City Kemantren Office, the participants were chosen through probability sampling employing a simple random sampling method. Several assessments, including validity, reliability, normality, multicollinearity, heteroscedasticity, multiple linear analysis, t-test, F-test, and coefficient of determination, were carried out. The outcomes of the t-tests demonstrate that both human relations and work discipline variables positively and significantly influence employee performance, as evidenced by their respective t-values (2.958 and 6.940) exceeding the table t-value (1.992) at a significance level of 0.05. Furthermore, the coefficient of determination reveals an Adjusted R Square value of 0.520, indicating that 52% of the variance in employee performance can be explained by the human relations and work discipline variables. The remaining 48% of variance is attributed to other unexamined factors.

PENGARUH KERAGAMAN PRODUK, HARGA DAN KUALITAS PELAYANAN TERHADAP KEPUASAN KONSUMEN PADA CAFE AYAH BUNDA DI KABUPATEN SITUBONDO ABDURACHMAN SALEH SITUBONDO

This study is to determine the effects of product diversity, price, and service quality on consumer satisfaction at Cafe Ayah Bunda in Situbondo. The data analysis methods used in this research are validity test, reliability test, classical assumption test, multiple linear regression analysis, t-test, f-test, dominant test, and coefficient of determination. The results of multiple linear regression indicate that the variable product diversity (X1), price (X2), and service quality (X3) have a positive influence on the variable visitor satisfaction (Y). This is shown in the results of multiple linear regression analysis Y = 2.550E-16 + 0.671X1 -0.226X2 + 0.121X3+ e. The value for the product diversity variable is t-count 7,320 > t-table 1,985 has a partial effect on consumer satisfaction. Price variable -tcount -2.454 > ttable 1.985 has a partially negative effect on consumer satisfaction. The service quality variable t-count 1.472 < t-table 1.985 has no partial effect on consumer satisfaction at Cafe Ayah Bunda in Situbondo. The f-test shows the calculated f-value of 20.107 > 2.70, so it can be concluded that the research hypothesis (H2) which states that the variables of product diversity, price, and service quality have a simultaneous effect on consumer satisfaction. Based on the dominant test, the value of the product diversity variable is greater than the other variables by 7,320.

The Influence Of Financial Literacy, Lifestyle, Use Of M-Banking With A Utaut2 Approach On Financial Behavior

This research aims to determine whether there is a connection between M-Banking usage, lifestyle factors, and financial literacy. With a positive data collection strategy and a sample size of 150 participants, this research applies an associative methodology. Participants must be Singkawang City residents, aged 17–50, and M-Banking app users in order to be considered for the study. Statistical methods are employed in the analysis, including the following: multiple linear regression, correlation and determination coefficient, simultaneous testing (F test), and partial testing (t test). The data is linear, has a normal distribution, and does not show signs of multicollinearity; these findings are confirmed by the standard assumption test. The variables are strongly associated with one another, as shown by the correlation value of 0.523. According to the coefficient of determination (R2), the variables that were included in this research accounted for 28% of the variance in financial behavior, while other unexplained factors influenced the remaining 72%. Preliminary research shows that financial literacy and M-Banking use significantly affect financial behavior for the better. In contrast, lifestyle has a positive effect but is not statistically significant in influencing financial behavior.

New Relative Permeability Models for North American Sandstone Utilizing Artificial Neural Networks

Mathematical models and machine learning applications such as Artificial Neural Networks (ANN) have been adopted in hydrocarbon exploration, drilling, production, and reservoir engineering. Thanks to ample data sets and computing power, statistical analysis, analytics, and model prediction replace time-consuming and expensive laboratory measurements. This study used ANN to create two models for predicting water (krw) and oil (kro ) relative permeability profiles for predominantly North American water-wet sandstone reservoirs. The developed model was compared to the Modified Corey and Ibrahim and Koederitz’s equations. The coefficient of multiple determination (R2 ) and Root-Mean-Square Error (RMSE) were used to evaluate the accuracy of the new model. The developed model showed a superior fit and can, therefore, be utilized to generate krw and kro profiles for North American water-wet sandstone reservoirs.

Trait-anxiety, depressive symptoms, family support and life satisfaction as determinants conditioning the degree of adherence of people in pre-older adults and older adults.

The objective of the study was to determine the degree of adherence to pharmacological treatment in people in pre-older adults and older adults age groups and to analyse the correlation between selected sociodemographic parameters, severity of anxiety as a trait, symptoms of depression, a sense of family support and satisfaction with life, and adherence in people over 55 years of age. The study was conducted in a group of 2,040 people (1,406 women, 634 men) aged 55 to 100 (the average age was 65.4). The following sociodemographic variables were analysed: age, gender, education. The following scales were used: State-Trait Anxiety Inventory (STAI), Beck Depression Inventory (BDI), Satisfaction With Life Scale (SWLS) and the Multidimensional Scale of Perceived Social Support (MSPSS). The Adherence in Chronic Diseases Scale (ACDS) was used to test adherence, understood as the implementation of the therapeutic plan. The results obtained in the ACDS ranged from 6 to 28 points; the median was 24 points (21-28). The multiple coefficients of determination (multiple R2 = 0.11; p < 0.001) indicated an explanation of approximately 11% of the value of the ACDS dependent variable. The total correlation of all variables (multiple R) with the ACDS general variable in the mean correlation was 0.33. Independent factors affecting adherence assessed in the ACDS were: severity of anxiety as a trait (p = -0.21 ± 0.03; p < 0.001), family support (p = 0.10 ± 0.04; p = 0.029), severity of depression symptoms (p = -0.08 ± 0.03; p = 0.005), age of respondents (p = 0.07 ± 0.02; p = 0.003) and satisfaction with life (p = 0.06 ± 0 0.03; p = 0.027). Severity of anxiety as a trait, age, severity of depressive symptoms, a sense of satisfaction with life and family support are important factors affecting adherence.

A NONLINEAR REGRESSION MODEL FOR EARLY LOC ESTIMATION OF OPEN-SOURCE KOTLIN-BASED APPLICATIONS

Context. The early lines of code (LOC) estimation in software projects holds significant importance, as it directly influences the prediction of development effort, covering a spectrum of different programming languages, and open-source Kotlin-based applications in particular. The object of the study is the process of early LOC estimation of open-source Kotlin-based apps. The subject of the study is the nonlinear regression models for early LOC estimation of open-source Kotlin-based apps. Objective. The goal of the work is to build the nonlinear regression model with three predictors for early LOC estimation of open-source Kotlin-based apps based on the Box-Cox four-variate normalizing transformation to increase the confidence in early LOC estimation of these apps. Method. For early LOC estimation in open-source Kotlin-based apps, the model, confidence, and prediction intervals of nonlinear regression were constructed using the Box-Cox four-variate normalizing transformation and specialized techniques. These techniques, relying on multiple nonlinear regression analyses incorporating multivariate normalizing transformations, account for the dependencies between variables in non-Gaussian data scenarios. As a result, this method tends to reduce the mean magnitude of relative error (MMRE) and narrow confidence and prediction intervals compared to models utilizing univariate normalizing transformations. Results. An analysis has been carried out to compare the constructed model with nonlinear regression models employing decimal logarithm and Box-Cox univariate transformation. Conclusions. The nonlinear regression model with three predictors for early LOC estimation of open-source Kotlin-based apps is constructed using the Box-Cox four-variate transformation. Compared to the other nonlinear regression models, this model demonstrates a larger multiple coefficient of determination, a smaller value of the MMRE, and narrower confidence and prediction intervals. The prospects for further research may include the application of other data sets to construct the nonlinear regression model for early LOC estimation of open-source Kotlin-based apps for other restrictions on predictors.

PENGARUH LOAN TO DEPOSIT RATIO, NON PERFORMING LOAN, DEBT TO EQUITY RATIO, MANAJEMEN LABA TERHADAP KINERJA KEUANGAN BPD 2018-2022

This research aims to analyze the influence of financial ratios and earnings management on bank financial performance which is projected using ROA. Financial ratios include LDR, NPL, DER. This research usesnon-probability sampling with typepurposive sampling to retrieve population data from the financial reports of Regional Development Banks registered with the OJK for 2018-2022. The data analysis methods used are descriptive statistics, classical assumption testing, multiple linear regression analysis, hypothesis testing and determinant coefficient analysis (R2). The results of this research show that the NPL variable partially influences financial performance, while the LDR, DER and earnings management variables have no influence on financial performance. Meanwhile, simultaneously the LDR, NPL, DER and earnings management variables have no effect on financial performance. Based on the results of the coefficient of determination (R2), the contribution of the independent variable to the dependent variable has a value of 34.1%.