multiple linear regression
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Christin Natalia Sianipar ◽  

This study aims to find out the conflict and termination of employment both partially and simultaneously have a significant effect on the morale of employees at PT. The benefits of Medan Technique and how much it affects. The method used in this research is quantitative method with several tests namely reliability analysis, classical assumption deviation test and linear regression. Based on the results of primary data regression processed using SPSS 20, multiple linear regression equations were obtained as follows: Y = 1,031 + 0.329 X1+ 0.712 X2.In part, the conflict variable (X1)has a significant effect on the employee's work spirit (Y) at PT. Medan Technical Benefits. This means that the hypothesis in this study was accepted, proven from the value of t calculate > t table (3,952 < 2,052). While the variable termination of employment (X2) has a significant influence on the work spirit of employees (Y) in PT. Medan Technical Benefits. This means that the hypothesis in this study was accepted, proven from the value of t calculate > t table (7,681 > 2,052). Simultaneously, variable conflict (X1) and termination of employment (X2) have a significant influence on the morale of employees (Y) in PT. Medan Technical Benefits. This means that the hypothesis in this study was accepted, as evidenced by the calculated F value > F table (221,992 > 3.35). Conflict variables (X1) and termination of employment (X2) were able to contribute an influence on employee morale variables (Y) of 94.3% while the remaining 5.7% was influenced by other variables not studied in this study. From the above conclusions, the author advises that employees and leaders should reduce prolonged conflict so that the spirit of work can increase. Leaders should be more selective in severing employment relationships so that decent employees are not dismissed unilaterally. Employees should work in a high spirit so that the company can see the quality that employees have.

Muhammad Zuhri Infusi ◽  
Gede Putra Kusuma ◽  
Dewi Annizah Arham

Local Government Revenue or commonly abbreviated as PAD is part of regional income which is a source of regional financing used to finance the running of government in a regional government. Each local government must plan Local Government Revenue for the coming year so that a forecasting method is needed to determine the Local Government Revenue value for the coming year. This study discusses several methods for predicting Local Government Revenue by using data on the realization of Local Government Revenue in the previous years. This study proposes three methods for forecasting local Government revenue. The three methods used in this research are Multiple Linear Regression, Artificial Neural Network, and Deep Learning. In this study, the data used is Local Revenue data from 2010 to 2020. The research was conducted using RapidMiner software and the CRISP-DM framework. The tests carried out showed an RMSE value of 97 billion when using the Multiple Linear Regression method and R2 of 0,942, the ANN method shows an RMSE value of 135 billion and R2 of 0.911, and the Deep Learning method shows the RMSE value of 104 billion and R2 of 0.846. This study shows that for the prediction of Local Government Revenue, the Multiple Linear Regression method is better than the ANN or Deep Learning method. Keywords— Local Government Revenue, Multiple Linear Regression, Artificial Neural Network, Deep Learning, Coefficient of Determination

2022 ◽  
Vol 4 (3) ◽  
pp. 914-933
Willis Gita Kinasis ◽  
Didik Subiyanto ◽  
Epsilandri Septyarini

The purpose of this study is to find out the motivation to mediate the leadership trilogy and job satisfaction to employee work productivity at PT. Mataram Tunggal Garment. The method used in this study is quantitative. Primary data was obtained from questionnaires with 78 respondents with saturated sample techniques. Then the data is analyzed using descriptive analysis, multiple linear regression tests, t (partial) tests, coesifisien determination (R2) and sobel tests. The results showed that job satisfaction had a significant influence on motivation, leadership trilogy and job satisfaction had a significant influence on employee work productivity, leadership trilogy and motivation had no significant effect on employee work productivity, motivation mediated leadership trilogy and job satisfaction had no insignificant effect on employee work productivity.  Keywords: Leadership Trilogy, Motivation, Job Satisfaction and Employee Productivity.

2022 ◽  
Vol 22 (1) ◽  
Yasemin Al Shanableh ◽  
Yehia Y. Hussein ◽  
Abdul Haseeb Saidwali ◽  
Maryam Al-Mohannadi ◽  
Budoor Aljalham ◽  

Abstract Aim The aim of this study is to investigate the prevalence of asymptomatic hyperuricemia in Qatar and to examine its association with changes in markers of dyslipidemia, prediabetes and subclinical inflammation. Methods A cross-sectional study of young adult participants aged 18 - 40 years old devoid of comorbidities collected between 2012 and 2017. Exposure was defined as uric acid level, and outcomes were defined as levels of different blood markers. De-identified data were collected from Qatar Biobank. T-tests, correlation tests and multiple linear regression were all used to investigate the effects of hyperuricemia on blood markers. Statistical analyses were conducted using STATA 16. Results The prevalence of asymptomatic hyperuricemia is 21.2% among young adults in Qatar. Differences between hyperuricemic and normouricemic groups were observed using multiple linear regression analysis and found to be statistically and clinically significant after adjusting for age, gender, BMI, smoking and exercise. Significant associations were found between uric acid level and HDL-c p = 0.019 (correlation coefficient -0.07 (95% CI [-0.14, -0.01]); c-peptide p = 0.018 (correlation coefficient 0.38 (95% CI [0.06, 0.69]) and monocyte to HDL ratio (MHR) p = 0.026 (correlation coefficient 0.47 (95% CI [0.06, 0.89]). Conclusions Asymptomatic hyperuricemia is prevalent among young adults and associated with markers of prediabetes, dyslipidemia, and subclinical inflammation.

2022 ◽  
Vol 9 ◽  
Ling Shan ◽  
Hanyu Dong ◽  
Tiantian Wang ◽  
Junyan Feng ◽  
Feiyong Jia

Objective: This study aimed to investigate the possible association among vitamin D, screen time and other factors that might affect the concentration of vitamin D in children with autism spectrum disorder (ASD).Methods: In total, 306 children with ASD were recruited, and data, including their age, sex, height, weight, screen time, time of outdoor activity, ASD symptoms [including Autism Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS) and Autism Diagnostic Observation Schedule–Second Edition (ADOS-2)] and vitamin D concentrations, were collected. A multiple linear regression model was used to analyze the factors related to the vitamin D concentration.Results: A multiple linear regression analysis showed that screen time (β = −0.122, P = 0.032), age (β = −0.233, P &lt; 0.001), and blood collection month (reflecting sunshine duration) (β = 0.177, P = 0.004) were statistically significant. The vitamin D concentration in the children with ASD was negatively correlated with screen time and age and positively correlated with sunshine duration.Conclusion: The vitamin D levels in children with ASD are related to electronic screen time, age and sunshine duration. Since age and season are uncontrollable, identifying the length of screen time in children with ASD could provide a basis for the clinical management of their vitamin D nutritional status.

2022 ◽  
Vol 11 (1) ◽  
pp. 1-8
Sukhemi Sukhemi ◽  
Indah Ayu Arum Sari ◽  
Inayat Hanum Indriati

The objectives of this research are to analyze determining factors of fraud in local government. This study used internal control effectiveness, compliance with accounting rules, compensation compliance, and unethical behavior as an independent variable, while fraud as the dependent variable. The research was conducted at Bantul local government (OPD). The sample of this research were 86 respondents. The sample uses a purposive sampling method. The respondent data is analyzed with multiple linear regression. The results showed: Internal control effectiveness has an impact on fraud. Compliance with accounting rules does not affect fraud. Compensations compliance does not affect fraud. Unethical behavior has an impact on fraud.

Neraca ◽  
2022 ◽  
Vol 17 (2) ◽  
pp. 138-152
Muhammad Fithrayudi ◽  
Yohani Yohani ◽  
Vivi Pujiastuti

This study aims to test and analyze the effect of effectiveness of cash turnover, receivables,and working capital on economic rentability in the New Grogolan Market Traders Cooperative of Pekalongan City from 2016 to 2020. The method used in this study was quantitative research method with documentation techniques and analyzed used multiple linear regression analysis. The results of this study showed (1) the effectiveness of cash turnover has no significant effect on economic rentability, (2) the effectiveness of receivables turnover has no significant effect on economic rentability, (3) the effectiveness of working capital turnover has a positive and significant effect on economic rentability, and (4) there is a positive and significant effect on the effectiveness of cash turnover, receivables, and working capital together on economic rentability. Keywords: Turnover of cash, turnover of receivables, turnover of working capital, and economic rentability.

2022 ◽  
Vol 2022 ◽  
pp. 1-8
Le Chen ◽  
JeongYoung Song

This research aims to improve the rationality and intelligence of AUTOMATICALLY HIGHER MATHEMATICALLY EXAM SYSTEM (AHMES) through some AI algorithms. AHMES is an intelligent and high-quality higher math examination solution for the Department of Computer Engineering at Pai Chai University. This research redesigned the difficulty system of AHMES and used some AI algorithms for initialization and continuous adjustment. This paper describes the multiple linear regression algorithm involved in this research and the AHMES learning (AL) algorithm improved by the Q-learning algorithm. The simulation test results of the upgraded AHMES show the effectiveness of these algorithms.

2022 ◽  
Vol 18 (1) ◽  
pp. 182-191
Kurnia Firmanda Jayanti ◽  
Feti Fatimah ◽  
Ahmad Izudin

This research was conducted to see the effect of service quality, promotion and price on customer satisfaction. This research was conducted at the Besuki branch of JNE. Sampling was done by random sampling technique where all the population was taken at random to be the research sample. This is done to increase customer satisfaction at JNE Besuki branch through service quality, promotion and price. The analytical tool used is multiple linear regression to determine service quality, promotion and price on customer satisfaction. The results show that service quality affects customer satisfaction, promotion affects customer satisfaction, price affects customer satisfaction. Keyword : service quality, promotion, price, customer satisfaction

2022 ◽  
Vol 18 (1) ◽  
pp. 192-204
Cindy Septia Pratiwi ◽  
Agus Purnomo Sidi

This research aimed to figure out the influence between product quality, price and marketing influencer with the purchasing decision of Scarlett Body Whitening in East Java. The research instrument employed questionnaire to collect data from Scarlett Body Whitening consumers in East Java. Since there was no valid data for number of the consumers, the research used Roscoe method to take the sample. Data analyzed using multiple linear regression test. Product quality and price have a positive and significant effect on purchasing decisions. Meanwhile, the marketing influencer had no significant effect on purchase decision for Scarlett Body Whitening. Need further research to ensure that marketing influencer had an effect on purchase decision.   Keywords: Product quality, price, marketing influencer, buying decision

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