scholarly journals Cross-species bamboo grading based on flexural properties

2021 ◽  
Vol 891 (1) ◽  
pp. 012008
Author(s):  
N Nugroho ◽  
Kartini ◽  
E T Bahtiar
Keyword(s):  
Regression Analysis ◽  
Linear Equation ◽  
Species Identification ◽  
Strong Influence ◽  
Flexural Properties ◽  
Bamboo Species ◽  
Dummy Variables ◽  
Average Value ◽  
Dummy Variable ◽  
Study Species

Abstract This experiment studied five species of bamboo culms [e.g. B. vulgaris (ampel), D. asper (betung), G. apus (tali), G. atroviolacea (hitam), and G. pseudoarundinaceae (andong)], then analyzed the possibility to develop cross-species bamboo structural grading (both strength and capacity grading) models by mean of dummy variable regression. Since the regression analysis resulted the significantly different coefficient values of the dummy variables, any coincided trendline did not found, but some parallel ones were obtained. The non-coincided but parallel trendlines indicated that a linear equation can estimate the average value of the grade determining property (GDP) of cross-species bamboo structural grading, while the constants must be added to consider the species influence. Meanwhile the non-parallel trendlines indicated that the different linear equation must be applied for every bamboo species. The crossspecies bamboo structural grading could not reliably justify in this study. Species have a strong influence on bamboo grading. Therefore, the authors suggest considering the species identification in the bamboo structural grading.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI FINANCIAL DISTRESS PADA PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

2020 ◽  
Vol 7 (2) ◽  
pp. 117
Author(s):  
Safira Nurmalika Azis ◽  
Shiddiq Nur Rahardjo
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Capital Structure ◽  
Hypothesis Testing ◽  
Logistic Regression Analysis ◽  
Financial Distress ◽  
Dummy Variables ◽  
Independent Variables ◽  
Dummy Variable ◽  
Statistical Results

This study aims to examine whether financial ratios have an influence on financial distress. The dependent variable in this study is financial distress which is measured using a dummy variable. The independent variables in this study are CAR, NPL, ROA, ROE and capital structure. In addition, this study also uses the Altman model to determine the level of bankruptcy in banks This study also uses dummy variables to find out which banks are healthy and unhealthy. Hypothesis testing of this study was carried out using logistic regression analysis. This study provides statistical results that show that the CAR has a negative and significant effect on financial distress, ROA has a negative and significant effect on financial distress and the capital structure has a positive and significant effect on financial distress. Whereas NPL and ROE do not have an influence on financial distress.

scholarly journals The Regression Analysis of Individual Financial Performance: Evidence from Croatia

2017 ◽  
Vol 8 (2) ◽  
pp. 1-13 ◽  
Author(s):  
Vlasta Bahovec ◽  
Dajana Barbić ◽  
Irena Palić
Keyword(s):  
Regression Analysis ◽  
Financial Performance ◽  
Financial Literacy ◽  
Large Body ◽  
Financial Education ◽  
Well Being ◽  
Empirical Literature ◽  
Average Value ◽  
Dummy Variable ◽  
The Impact

Abstract Background: A large body of empirical literature indicates that gender and financial literacy are significant determinants of individual financial performance. Objectives: The purpose of this paper is to recognize the impact of the variable financial literacy and the variable gender on the variation of the financial performance using the regression analysis. Methods/Approach: The survey was conducted using the systematically chosen random sample of Croatian financial consumers. The cross section linear regression model is estimated in order to assess how gender as a dummy variable and financial literacy as an ordinal categorical variable impact financial performance. Results: The results indicate that the average value of financial performance for men is higher than the average value of financial performance for women at the same financial literacy level. Furthermore, a higher level of financially literacy is related to a higher level of financial performance. Conclusions: Both gender and financial literacy have a statistically significant impact on individual financial performance. Increasing financial literacy and understanding gender differences in terms of financial literacy and financial well-being should be of interest to financial educators in their struggles to improve financial situation of citizens and for educators to create financial education programs intended for men and women.

Keputusan Nasabah dalam Menabung di Bank Konvensional di daerah Istimewa Yogyakarta

2017 ◽  
Vol 11 (2) ◽  
pp. 145
Author(s):  
Jonathan Herdioko
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Strong Influence ◽  
Multiple Regressions ◽  
Conventional Banks ◽  
Special Region ◽  
Conventional Bank

The purpose of this study is to examine the antecedent of customer’s decision to save their assets in conventional banks. Variables analized preceded product, place, and promotion toward customers’ decision. Data for this study were collected by offline administered survey to 300 respondents in five districts in Yogyakarta Special Region. They are Gunung Kidul, Kulon Progo, Sleman, Bantul, and  Yogyakarta. The hyphotesis testing was conducted using the multiple regression analysis. Findings of this study indicate that product, place, and promotion have strong influence on customers decision to save their assets in conventional banks.Keyword: conventional bank, customers decision, multiple regressions analysis

scholarly journals PENERAPAN MODEL PEMBELAJARAN THINK PAIR SQUARE (TPS) DENGAN MENGGUNAKAN LKS UNTUK MENINGKATKAN HASIL BELAJAR SISWA PADA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL DI KELAS X SMA NEGERI 2 PEMATANGSIANTAR

2019 ◽  
Vol 4 (2) ◽  
pp. 196-201
Author(s):  
Winmery Lasma Habeahan
Keyword(s):  
Linear Equation ◽  
Student Learning ◽  
Learning Outcomes ◽  
Mathematics Learning ◽  
Student Learning Outcomes ◽  
Learning Model ◽  
Material System ◽  
Average Value ◽  
Grade Average ◽  
Improve Student Learning

Abstract. The purpose of this study was to determine whether using the TPS learning model by using LKS can improve student learning outcomes in the material system linear equation two variable in class X Senior High Public School 2 of Pematangsiantar. The type of research used is classroom action research with 2 cycles. Subjects of class X-IPA 7. On the implementation of the first cycle of action, the result of the analysis of tests of students at the moderate (≥ 65) category in a classical manner were still not achived because only 52.78% of students were completed, with a grade average 65.00. After the implementation of the second cycle of action, the learning outcomes of students in the medium minimum category (≥ 65) have been achived classically, namely 86.11% with an average value 73.75. The increase in students’ mathematics learning outcomes from cycle I to cycle II was 21.11%. Based on the result of the above research it can be concluded that the application of the TPS learning model using LKS can improve student learning outcomes.Keywords: Laerning Outcomes, Think Pair Square (TPS), LKS

scholarly journals Suitability of Protein Content Measured by MilkoScan FT-Plus Milk Analyzer to Evaluate Bovine and Ovine Colostrum Quality

Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2587
Author(s):  
Anna Antonella Spina ◽  
Carlotta Ceniti ◽  
Francesca Trimboli ◽  
Domenico Britti ◽  
Vincenzo Lopreiato
Keyword(s):  
Regression Analysis ◽  
Protein Content ◽  
Indirect Method ◽  
Strong Relationship ◽  
Poor Quality ◽  
Bovine Colostrum ◽  
Gold Standard Method ◽  
Average Value ◽  
Correlation And Regression Analysis

The objective of this study was to evaluate MilkoScan FT-plus for the estimation of the immunoglobulin G (IgG) content in bovine and ovine colostrum. Between April and May 2016, a total of 94 colostrum samples (54 from Simmental dairy cows and 39 from Sarda ewes) were collected within 6 h (T0) and after 24 h (T24) from parturition. Colostrum samples were subjected to the radial immunodiffusion (RID) assay for the quantification of IgG and to MilkoScan FT-plus for the estimation of protein content (TP, %), which was then used as an indirect method for the evaluation of colostrum quality. To compare the two methods, correlation and regression analysis of IgG quantification by RID and protein (%) content estimation by MilkoScan FT-plus data was performed using Procedure CORR and Procedure REG of SAS, respectively (version 9.3, SAS Institute Inc., Cary, NC, USA). Thresholds for the classification of good colostrum quality (as determined by RID assay, the gold standard method) were set at 50 g of IgG/L in cows and 20 g of IgG/L in ewes. The concentration of IgG in bovine colostrum assayed by RID showed a variation ranging from 41.45 to 199.97 g/L with an average of 99.85 ± 40.84 g/L at T0, and from 2.83 to 75.93 g/L with an average of 19.76 ± 19.01 g/L at T24. Regarding ovine colostrum, the concentration of IgG assayed by RID ranged from 34.45 to 156.32 g/L with an average value of 77.82 ± 37.58 g/L at T0, and from 5.6 to 69.74 g/L with an average of 27.90 ± 19.81 g/L at T24. Colostrum TP ranged from 3.70 to 23.96% for bovine colostrum and 6.32 to 22.88% for ovine colostrum using MilkoScan FT-plus. MilkoScan FT-plus and RID data were highly and significantly correlated (r = 0.91 for bovine and r = 0.94 for ovine colostrum), and regression analysis showed a strong relationship between IgG concentration provided by RID assay and TP provided by MilkoScan FT-plus (R2 = 0.84 and 0.88 for bovine and ovine, respectively). Optimal cut-off points for the greatest accuracy of TP (%) determined by MilkoScan FT-plus were 12.8% in cows [with 88.9% sensitivity (Se) and 100% specificity (Sp)] and 9% in ewes (with 96.7% Se and 100% Sp). In conclusion, these outcomes indicate that MilkoScan FT-plus as an indirect method may be a reliable tool for the estimation of the total IgG concentration and quality in bovine and ovine colostrum. Moreover, the cut-off levels of 12.8% for bovine and 9% for ovine of TP, seem sufficient to ensure that all poor-quality colostrum can be classified as such, with only a low proportion of good-quality colostrum being misclassified as poor-colostrum, thereby increasing the probability of delivering good-quality colostrum to new-born calves and lambs.

scholarly journals PENGARUH PELATIHAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA HEAD OFFICE PADA PT PAM LYONNASE JAYA (PALYJA)

Epigram ◽  
2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Anggi Fathya Anindita ◽  
Tuty Herawati ◽  
Wahyudi Utomo
Keyword(s):  
Regression Analysis ◽  
Strong Influence ◽  
Test Validity ◽  
Secondary Data ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Reliability Test ◽  
Head Office ◽  
Training Motivation

Abstract Influence of training and motivation on performance of employees at PT PAM Lyonnase Jaya (PALYJA). 2017. This research aims to find out how the influences between the training and motivation on performance of employees. Data collection using the questionnaire given to the respondents to obtain primary data and secondary data to obtain an libraries. While the method of data analysis using the test validity dan reliability, test the assumptionsof classical, test hypotheses, multiple linier regression analysis, analysis of the coefficient of determination of the significance of the T-test, and a test of the significance of f. Result of the research indicate that training has a strong influence on performance of employees and motivation have influence of 66,8% on performance of employees and the remaining 33,2% are influenced by other factors.Keywords: Training, Motivation, Employee Performance.AbstrakPengaruh Pelatihan dan Motivasi terhadap Kinerja Karyawan Pada head office PT PAM Lyonnase Jaya (PALYJA). 2017. Penelitian ini bertujuan untuk mengetahui seberapa pengaruh antara pelatihan dan motivasi terhadap kinerja karyawan. Pengumpulan data menggunakan kuesioner yang diberikan kepada responden untuk memperoleh data primer dan studi kepustakaan untuk memperolah data sekunder. Sedangkan metode analisis data menggunakan uji validitas dan reliabilitas, uji asumsi klasik, uji hipotesis, analisis regresi linier berganda, analisis koefisien determinasi, uji signifikansi T dan uji signifikansi F. Hasil penelitian menunjukan bahwa pelatihan memiliki pengaruh yang kuat terhadap kinerja karyawan dan motivasi memiliki pengaruh sebesar 66,8% terhadap kinerja karyawan dan sisanya 33,2% dipengaruhi oleh faktor lain.Kata Kunci: Pelatihan, Motivasi, Kinerja Karyawan

scholarly journals A Numerical Example of the Practical Use of Dummy Variables

1970 ◽  
Vol 2 (1) ◽  
pp. 197-201 ◽  
Author(s):  
Charles Sappington
Keyword(s):  
Regression Analysis ◽  
Dummy Variables ◽  
Numerical Examples ◽  
Alternative Models ◽  
Numerical Example

Although the use of dummy variables in regression analysis is quite common, the implications of alternative models for incorporating dummy variables are not generally understood. References dealing with the use of dummy variables are numerous but scattered in the literature. The purpose of this article is to demonstrate, using numerical examples, the implications and interrelationships among various models which incorporate dummy variables. Five separate models are considered.

scholarly journals U-shaped relationship between serum uric acid levels and intrarenal hemodynamic parameters in healthy subjects

2017 ◽  
Vol 312 (6) ◽  
pp. F992-F997 ◽  
Author(s):  
Hideki Uedono ◽  
Akihiro Tsuda ◽  
Eiji Ishimura ◽  
Shinya Nakatani ◽  
Masafumi Kurajoh ◽  
...  
Keyword(s):  
Uric Acid ◽  
Regression Analysis ◽  
Serum Uric Acid ◽  
Healthy Subjects ◽  
Hemodynamic Parameters ◽  
Quadratic Regression ◽  
Dummy Variables ◽  
Arteriolar Resistance ◽  
Glomerular Hemodynamics ◽  
The Relationship

Hyperuricemia has been reported to affect renal hemodynamics. In a recent study, both low and high levels of serum uric acid (SUA) were found to be associated with loss of kidney function. The goal of this study was to evaluate the relationship between SUA levels and intrarenal hemodynamic parameters in healthy subjects, using plasma clearance of para-aminohippurate (CPAH) and inulin (Cin). Renal and glomerular hemodynamics were evaluated by simultaneous measurements of CPAH and Cin in 48 healthy subjects (54.6 ± 13.4 yr). Intrarenal hemodynamic parameters, including efferent and afferent (Ra) arteriolar resistance, were calculated using Gómez’s formulas. Relationships of SUA levels with these intrarenal hemodynamic parameters were examined. In quadratic regression analysis, SUA levels had a significant inverse U-shaped relationship with Cin ( P < 0.0001, R2 = 0.350) and CPAH ( P = 0.0093, R2 = 0.188) and a U-shaped relationship with Ra ( P = 0.0011, R2 = 0.262). In multiple regression analysis with normal (3.5–6.0 mg/dl) and mildly low or high (<3.5 or >6.0 mg/dl) SUA levels entered as dummy variables of zero and one, respectively, mildly low or high SUA levels were significantly and independently associated with Ra (β = 0.230, P = 0.0403) after adjustment for several factors ( R2 = 0.597, P < 0.0001). Both mild hyperuricemia and mild hypouricemia are significantly associated with increased Ra, although weakly. The increase in Ra in subjects with mild hyperuricemia or hypouricemia may be related to renal hemodynamic abnormalities, possibly leading to a decline in renal function.

Investigation of factors affecting the seam slippage of garments

2019 ◽  
Vol 89 (21-22) ◽  
pp. 4756-4765
Author(s):  
Daoling Chen ◽  
Pengpeng Cheng
Keyword(s):  
Regression Analysis ◽  
Linear Equation ◽  
Linear Density ◽  
Breaking Strength ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Test Results ◽  
Factors Affecting ◽  
Polyester Material ◽  
Sewing Thread

Seam slippage often occurs with some garments during the process of wearing or washing, which not only affects the appearance of the garment but also influences garment quality. The purpose of this study is to find out the factors that affect the seam slippage of garments. In order to make the test results closer to those of the garment itself, this study first proposed to make the fabric into a Japanese woman's prototype sample, in order to simulate the garments produced by a garment enterprise. Then, according to standards GB/T 13772.2-2008/ISO 13936-2: 2004 and GB/T 21294-2014, samples were made and seam slippage at the armhole and side seam was tested. Experimental results reveal that the factors that cause the seam slippage of garments are the fabric, seam type and sewing thread. According to the regression analysis, the seam type has a significant effect on the seam slippage of the armhole and side seam, with Pearson correlation coefficients of −0.715 and −0.650, respectively. Thickness, weight, weft density and weave type of the fabric are also important in terms of seam slippage. The weight of the fabric is more significant than other factors; the significant values at the armhole and side seam are 0.009 and 0.002, respectively. In the linear equation, it is shown that weft breaking strength of the fabric only impacts the seam slippage at the side seam. Sewing thread is another important factor for the seam slippage of garments, and its influence on the armhole is obvious; the larger the sewing thread linear density of polyester material is, the smaller the seam slippage is.

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