scholarly journals KERAGAMAN KERAPATAN KAYU BATANG DAN CABANG KOMUNITAS POHON DI HUTAN GUNUNG PAPANDAYAN, JAWA BARAT

2019 ◽  
Vol 18 (2) ◽  
pp. 145-154
Author(s):  
Eka Fatmawati Tihurua ◽  
Endah Sulistyawati
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Wood Density ◽  
Linear Regression Analysis ◽  
Ecosystem Processes ◽  
P Value ◽  
Density Data ◽  
Stem Wood ◽  
Breast Height ◽  
Branch Wood

Wood density is the functional character which has important role in the function of ecosystem. Stem and branch wood density have different trait and effect on its ecosystem processes. The objectives of this research are to know the diversity of stem and branch wood density and to analyze whether branch wood density could be used to estimate stem wood density in the Mount Papandayan. Six plots of 0.1 ha at different sites (three plots each in interior and edge forest) were established. Branches were collected from trees with diameter at breast height larger than 10 cm, while stem wood density data were obtained from some wood density sources. Research results showed that stem wood density ranges were 0.35–0.82 g/cm3, while branch wood density ranges were 0.33–0.61 g/cm3. Average of branch wood density was lower (0.48 ± 0.09 g/cm3) than stem wood density (0.61 ± 0.1 g/cm3). Linear regression analysis indicated that branch wood density could be used to estimate stem wood density of trees in Mount Papandayan which is showed by R2 value and correlation coefficient of 0.28 and 0.55 (p value < 0.001) respectively. 

scholarly journals An Insight of Linear Regression Analysis

2018 ◽  
Vol 15 (2) ◽  
pp. 1
Author(s):  
Set Foong Ng ◽  
Yee Ming Chew ◽  
Pei Eng Chng ◽  
Kok Shien Ng
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Hypothesis Testing ◽  
Linear Regression Analysis ◽  
Testing Procedure ◽  
Coefficient Of Determination ◽  
P Value ◽  
Hypothesis Testing Procedure ◽  
Independent Variable

Regression models are developed in various field of applications to help researchers to predict certain variables based on other predictor variables. The dependent variables in the regression model are estimated by a number of independent variables. Model utility test is a hypothesis testing procedure in regression to verify if there is a useful relationship between the dependent variable and the independent variable. The hypothesis testing procedure that involves p-value is commonly used in model utility test. A new technique that involves coefficient of determination R2 in model utility test is developed in this paper. The effectiveness of the model utility test in testing the significance of regression model is evaluated using simple linear regression model with the significance level α = 0.01, 0.025 and 0.05. The study in this paper shows that a regression model that is declared to be a significant model by using model utility test, however it fails to guarantee a strong linear relationship between the independent variable and dependent variable. Based on the evaluation presented in this paper, it is shown that the p-value approach in model utility test is not a good technique in evaluating the significance of a regression model. The results of this study could serve as a reference for other researchers applying regression analysis in their studies. 

scholarly journals The Effect of Joining Non-Formal Education and English Achievement

2019 ◽  
Vol 4 (1) ◽  
pp. 15-21
Author(s):  
Sherly Marliasari ◽  
Riris Oktaviani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Quantitative Research ◽  
Formal Education ◽  
Linear Regression Analysis ◽  
Second Grade ◽  
P Value ◽  
Pearson Product Moment Correlation ◽  
Second Grade Students ◽  
English Achievement

The study aims to investigate the correlation between joining non-formal education and the English achievement of the second-grade students of SMA Negeri 2 Palembang. The problems of this study were: Is there any correlation between joining non-formal education and English achievement of the second-grade students of SMA Negeri 2 Palembang? And What does taking an English course gives impact toward English achievement of the second-grade students of SMA Negeri 2 Palembang? The method of this study used quantitative research. The total number of the sample was 52 students. The questionnaire and document were used to collect the data which were analyzed by using Pearson Product Moment correlation and Linear Regression analysis. The findings showed that: (1) there was a significant correlation between joining non-formal education and English achievement (r= .845), (2) there was a significant impact of taking English courses and students' English achievement (p-value= .000).

scholarly journals Employee’s productivity at the operation of indonesian railway

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Muhammad Alkirom Wildan
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
P Value ◽  
Workplace Environment

This research was designed to study the effect of physical workplace environment and non physical workplace environment towards employee’s productivity. This work was conducted at the Indonesian Railway Corp. operation district 8. The population of this research was 250 employees and the sample was determined using slovin’s equation with the size 71 employees. The data was taken using questionare. The linear regression analysis was employed to analyze the partial and simultan effect of effect of physical workplace environment and non physical workplace environment towards employee’s productivity. According to the statistical analysis conducted using SPSS 18, the p-Value of variable physical workplace environment and non physical workplace environment was 0.013 and 0.036 respectively, both were less than 0.05, then it can be concluded that physical workplace environment and non physical workplace environment significantly and partially affected employee’s productivity, while the Fcount was 14.831 and its p-Value was 0.000 (<0.05) indicated that physical workplace environment and non physical workplace environment simultanously affected employee’s productivity. The regression coificient (R2) was 0.504 or 50.4 %, so it can be indicated that physical workplace environment and non-physical workplace environment simultanously affected employee’s productivity about 50.4%, and about 49.6% might be affected by other variables.

An Insight of Linear Regression Analysis

2018 ◽  
Vol 15 (2) ◽  
pp. 1
Author(s):  
Set Foong Ng ◽  
Yee Ming Chew ◽  
Pei Eng Chng ◽  
Kok Shien Ng
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Hypothesis Testing ◽  
Linear Regression Analysis ◽  
Testing Procedure ◽  
Coefficient Of Determination ◽  
P Value ◽  
Hypothesis Testing Procedure ◽  
Independent Variable

Regression models are developed in various field of applications to help researchers to predict certain variables based on other predictor variables. The dependent variables in the regression model are estimated by a number of independent variables. Model utility test is a hypothesis testing procedure in regression to verify if there is a useful relationship between the dependent variable and the independent variable. The hypothesis testing procedure that involves p-value is commonly used in model utility test. A new technique that involves coefficient of determination R2 in model utility test is developed in this paper. The effectiveness of the model utility test in testing the significance of regression model is evaluated using simple linear regression model with the significance level α = 0.01, 0.025 and 0.05. The study in this paper shows that a regression model that is declared to be a significant model by using model utility test, however it fails to guarantee a strong linear relationship between the independent variable and dependent variable. Based on the evaluation presented in this paper, it is shown that the p-value approach in model utility test is not a good technique in evaluating the significance of a regression model. The results of this study could serve as a reference for other researchers applying regression analysis in their studies.

P1671Subclinical persistent hemolysis may affect late renal function deterioration after HeartMateII implantation

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Iwasaki ◽  
O Seguchi ◽  
H Mochizuki ◽  
Y Kimura ◽  
Y Kumai ◽  
...  
Keyword(s):  
Renal Function ◽  
Regression Analysis ◽  
Linear Regression ◽  
Pulse Pressure ◽  
Linear Regression Analysis ◽  
Parameter Estimate ◽  
Multivariate Linear Regression ◽  
P Value ◽  
Multivariate Linear Regression Analysis ◽  
Renal Function Deterioration

Abstract Background Late renal function dysfunction is an increasingly recognized complication in continuous flow left ventricular assist device (CF-LVAD) patients. Although hemolysis is prevalent in CF-LVAD patients and hemolysis may deteriorate renal function, the influence of persistent hemolysis on renal function in CF-LVAD patients remains to be investigated. Purpose To investigate the influence of persistent hemolysis on renal function in CF-LVAD patients, using lactate dehydrogenase (LDH) as a sensitive marker of hemolysis. Methods Excluding patients who died or underwent pump exchange for pump thrombosis, we retrospectively reviewed 65 consecutive adults who underwent HeartMateII implantation in our center from May 2011 to October 2017. Patient characteristics, chronotropic change of estimated glomerular filtration rate (eGFR) and LDH values weekly for 4 weeks and every 4 weeks between 4 and 48 weeks after implantation were collected. Then, calculating mean LDH during 48 weeks after implantation, study population was divided into low and high mean LDH groups at the median value of mean LDH. Results The median value of mean LDH was 304 U/l. Compared with low LDH patients, though high LDH patients were more likely female and had smaller body surface area, there were no significant difference in pre-operative eGFR between the groups (66.0±23.7 vs. 70.2±25.7 ml/min/1.73m2, p=0.495). After 40 weeks after implantation, high LDH patients had significantly lower eGFR than low LDH patients (71.0±23.7 vs. 87.1±31.4 ml/min/1.73m2, p=0.024). In multivariate linear regression analysis, mean LDH [parameter estimate: −0.10 (95% CI: −0.17 to −0.04), p=0.003] and post-operative pulse pressure [parameter estimate: 0.71 (95% CI: 0.05 to 1.37), p=0.036] were significantly associated with eGFR change during 48 weeks after HeartMateII implantation. Univariate and multivariate linear regression analysis for eGFR change Univariate parameter estimate 95% CI p value Multivariate parameter estimate 95% CI p value Bilirubin, mg/dl 9.97 3.82 to 16.13 0.002 6.55 −0.43 to 13.53 0.065 BNP, pg/ml 0.01 0.00 to 0.02 0.044 0.00 −0.01 to 0.01 0.528 Mean LDH during 4 to 48 weeks, U/l −0.11 −0.18 to −0.05 <0.001 −0.10 −0.17 to −0.04 0.003 Pre-operative right atrial pressure, mmHg 1.43 0.35 to 2.51 0.010 −0.06 −1.52 to 1.40 0.935 Post-operative pulse pressure, mmHg 0.77 0.03 to 1.52 0.042 0.71 0.05 to 1.37 0.036 Conclusions High mean LDH and low pulse pressure were associated with a significant decrease in eGFR late after HeartMateII implantation. Subclinical persistent hemolysis may be associated with late renal function deterioration in CF-LVAD patients.

Early selection for wood density in young coastal Douglas-fir trees

1988 ◽  
Vol 18 (9) ◽  
pp. 1182-1185 ◽  
Author(s):  
Josefina S. Gonzalez ◽  
Jane Richards
Keyword(s):  
Linear Regression ◽  
Wood Density ◽  
Rank Correlation ◽  
Douglas Fir ◽  
Stem Density ◽  
Growth Rings ◽  
Stem Wood ◽  
Breast Height ◽  
Old Trees ◽  
Improvement Effort

Selection age for wood density in vigorous coastal Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) was determined by examining the following: strength of the correlation between total-stem wood density of 50-year-old trees and their breast-height density when the trees were 5 through 30 years old (breast-height age); efficiency in terms of gain per year of tree improvement effort by selecting at ages 5 through 30, relative to selecting at age 50. The linear regression and rank correlation between total-stem and breast-height densities improved as age increased from 5 to 15 years, but showed no significant improvement from 15 to 30 years. Densities of early-growth rings fluctuated considerably and their exclusion from the calculation of breast-height density enhanced the linear regression with total-stem density. Efficiency estimates in terms of gain per year showed an optimum value at age 15, but the estimates for ages 10–14 were nearly as efficient.

scholarly journals PENGARUH LINGKUNGAN KERJA DAN KEPEMIMPINAN TERHADAP KEPUASAN KERJA KARYAWAN DI PT. LAHAN REZEKI KABUPATEN KUNINGAN

2021 ◽  
Vol 8 (2) ◽  
pp. 85
Author(s):  
Ariq Saeful Rochmaan Nurhidayat ◽  
Sandi Nasrudin Wibowo
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Linear Regression ◽  
Work Environment ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
P Value ◽  
Employee Job Satisfaction ◽  
Saturated Sample

ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh lingkungan kerja dan kepemimpinan terhadap kepuasan kerja karyawan di PT. Lahan Rezeki Kabupaten Kuningan. Populasi dalam penelitian ini adalah semua karyawan di PT. Lahan Rezeki. Teknik pengambilan sampel dalam penelitian ini menggunakan sampel jenuh. Sampel dalam penelitian ini sebanyak 55 orang responden. Metode dalam pengumpulan data ini menggunakan kuesioner, sedangkan metode dalam penelitian ini menggunakan analisis regresi linear berganda. Hasil penelitian ini menunjukan bahwa lingkungan kerja berpengaruh positif dan signifikan. Hal ini dibuktikan dengan nilai p-value (sig) < 0,05 yaitu 0,040 < 0,05 dan nilai thitung > ttabel yaitu 2,107 > 2,0057 sehingga dapat disimpulkan bahwa variabel berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan. Kepemimpinan berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan. Hal ini dibuktikan dengan nilai p-value (sig) < 0,05 yaitu 0,000 < 0,05 dan nilai thitung > ttabel yaitu 9,267 > 2,0057 sehingga dapat disimpulkan bahwa variabel berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan. Lingkungan kerja dan kepemimpinan berprngaruh positif dan signifikan terhadap kepuasan kerja karyawan. Hal ini dibuktikan dengan nilai p-value (sig) < 0,05 yaitu 0,000 < 0,05 dan nilai fhitung > ftabel yaitu 44,565 > 3,28 sehingga dapat disimpulkan bahwa kedua variabel berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan.. Kata-kata Kunci: lingkungan kerja; kepemimpinan; kepuasan kerja karyawan The Influence of Work Environment and Leadership on Employee Job Satisfaction at PT.Lahan Rezeki Kuningan Regency ABSTRACT This study aims to determine the effect of work environment and leadership on employee job satisfaction at PT.Lahan Rezeki Kuningan Regency. The population in this study were all employees at PT. Sustenance Land. The sampling technique in this study used a saturated sample. The sample in this study were 55 respondents. The method in collecting this data uses a questionnaire, while the method in this study uses multiple linear regression analysis. The results of this study indicate that the work environment has a positive and significant effect. This is evidenced by the value of p-value (sig) <0.05, namely 0.040 <0.05 and the value of tcount > ttable which is 2.107> 2.0057 so it can be concluded that the variable has a positive and significant effect on employee job satisfaction. Leadership has a positive and significant effect on employee job satisfaction. This is evidenced by the value of p-value (sig) <0.05, namely 0.000 <0.05 and the value of tcount > ttable which is 9.267> 2.0057 so it can be concluded that the variable has a positive and significant effect on employee job satisfaction. The work environment and leadership have a positive and significant impact on employee job satisfaction. This is evidenced by the value of p-value (sig) <0.05, namely 0.000 <0.05 and the value of fcount > ftable which is 44.565> 3.28, so it can be concluded that both variables have a positive and significant effect on employee job satisfaction.. Keywords: work environment ; leadership ; employee job satisfaction

scholarly journals PERAN KEPUASAN PELANGGAN DALAM MEMODERASI PENGARUH PERCEIVED VALUE TERHADAP LOYALITAS PELANGGAN

2019 ◽  
Vol 5 (4) ◽  
Author(s):  
Budiyono Budiyono ◽  
Sutianingsih Sutianingsih
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Linear Regression Analysis ◽  
Perceived Value ◽  
Multiple Linear Regression Analysis ◽  
P Value ◽  
Analysis Techniques

The purpose of this study is to test and analyze how important the perceived value of Elsirestore's products is on customer loyalty, to test and analyze how much satisfaction increases with customer loyalty at Elsirestore, and to test and analyze perceived value of customer loyalty to Elsirestore's products with customer satisfaction. The method of data collection using a questionnaire conducted on respondents, namely consumers of Elsirestore. Data analysis techniques in testing the hypothesis of this study used multiple linear regression analysis techniques. The results show that the Perceived Value variable has a significant effect on Customer Loyalty, as evidenced by the p value = 0.037 (p <0.05), which means there is a significant effect, where the better the Perceived Value, the better the Customer Loyalty. Customer Satisfaction has a significant effect on Customer Loyalty as evidenced by the p value = 0.000 (p <0.05), which means that Customer Satisfaction has a significant effect on Customer Loyalty, where the better customer satisfaction, the better Customer Loyalty. Customer satisfaction moderates the effect of perceived value on customer loyalty at Elsirestore. This is indicated by the value of p value = <0.001 (p<0.05).

scholarly journals Correlates of Attempts to Quit Smoking: A Hierarchical Multiple Linear Regression Analysis

2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Muhammad Siddiq ◽  
Md Mizanur Rahman ◽  
Mohd Faiz Gahamat
Keyword(s):  
Smoking Cessation ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Health Concern ◽  
P Value ◽  
Female Ratio ◽  
Quit Smoking

Background: Smoking is a public health concern that contributes to non-communicable disease fatalities. Nearly five million Malaysians aged 15 years and above are estimated to be smokers. Quitting smoking is complicated and challenging for most smokers to attempt and succeed. Not everyone enjoys it, but some have decided and/or tried to stop smoking completely. This study aimed at identifying predictors of quit smoking attempts. Methods: The researchers designed a cross-sectional study conducted in Samarahan Division, Sarawak, Malaysia. Data from 777 smokers were collected via face-to-face interview using a validated structured questionnaire. A hierarchical multiple regression analysis was performed to determine the factors associated with quit smoking attempts by IBM SPSS version 22.0. A p-value of ≤.05 was considered statistically significant. Results: The average age of the smokers was 43.46 years old, with the male to female ratio of 8.96:1. The median age of starting and being regular smoking were 20 and 23 years, respectively. The hierarchical multiple linear regression analysis revealed that motivation (β=.220, p<.001), intention to quit (β=.148, p><.001), age at regular smoking (β=.131, p><.01), gender (β=.088, p><.01) appeared to be significant predictors of quit smoking attempt. Self-efficacy (β=-.101, p><.05) had a negative effect on quit smoking. However, nicotine dependency and the age of respondents did not affect smoking cessation. Conclusion: Smoking cessation motivation, intention, and age of regular smokers were associated with quit attempts.Conclusion: Smoking cessation motivation, intention, and age of regular smokers were associated with quit attempts. Therefore, the aim of a future campaign should be to reinforce motivation, increase the level of intention and self-esteem for successful smoking cessation.

scholarly journals PENGARUH KEDISIPLINAN, PELATIHAN DAN MOTIVASI KERJA TERHADAP KINERJA KARYAWAN BALAI BESAR WILAYAH SUNGAI BENGAWAN SOLO

2019 ◽  
Vol 3 (01) ◽  
Author(s):  
Toto Wahono ◽  
Ida Aryati ◽  
Sri Hartono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Work Motivation ◽  
Positive Impact ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
P Value ◽  
Analysis Tool ◽  
River Region

Concrete efforts that can support the improvement of the quality of professional performance of employees are training, motivation, and work discipline. These three factors are considered very decisive, because if they are observed and done well, it will have a positive impact on improving the quality of human resources or employee performance. The purpose of the study is to analyze the influence of discipline, training and work motivation simultaneously on employee performance of Big Hall Region Bengawan Solo River. Research is a descriptive study with a quantitative approach. The population of the study was all employees of the Central Bengawan Solo River Region of 600 employees, using Simple Random Sampling taken 25%, obtained a sample of 150 employees. The technique of collecting data using a questionnaire. The analysis tool uses multiple linear regression analysis. The results of linear regression analysis indicate that discipline, training and work motivation both partially and simultaneously have a significant positive effect on employee performance (p value

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