scholarly journals Rainfall Variation: Implication on Cocoa Yield in Ondo State, Nigeria

2018 ◽  
pp. 16-25
Keyword(s):  
Tropical Rainforest ◽  
Line Graph ◽  
Yield Data ◽  
Rainfall Variation ◽  
Cash Crops ◽  
Ondo State ◽  
R Value ◽  
The Relationship ◽  
Cocoa Plantation ◽  
Cocoa Yield

Cocoa is known as one of the notable cultivated cash crops of the tropical rainforest of the world that is rain dependent. The study examines the effect of rainfall variation on the yield of cocoa plantation in Ondo State, Nigeria. Data used for the study includes the rainfall data of 15 years from 2000 to 2014 collected from Ondo state agro climatological office as well as cocoa yield data for the same period of time from Ondo State ministry of agriculture and forest resources. Descriptive statistical method was employed to determine the relationship between both variables in which the result shows direct relationship between rainfall and cocoa yield. Results were presented using bar charts and line graph for the time series analysis of the variables. Linear regression statistical analysis was used to predict cocoa yield with certain amount of rainfall with the correlation coefficient ‘r’ value of 0.97 which implies that rainfall changes go a long way to determine the same variation trend in the cocoa yield. Though, not only the quantity of rainfall within the range of rainfall required for the growth of this crop affect the yield but its distribution. A little millimeter of rainfall above or below the required range of rain for cocoa plantation greatly affects cocoa yield.

Rainfall Variation: Implication on Cocoa Yield in Ondo State, Nigeria

2018 ◽  
Vol 1 (1) ◽  
pp. 16-25
Author(s):  
DADA Emmanuel
Keyword(s):  
Tropical Rainforest ◽  
Line Graph ◽  
Yield Data ◽  
Rainfall Variation ◽  
Cash Crops ◽  
Ondo State ◽  
R Value ◽  
The Relationship ◽  
Cocoa Plantation ◽  
Cocoa Yield

Cocoa is known as one of the notable cultivated cash crops of the tropical rainforest of the world that is rain dependent. The study examines the effect of rainfall variation on the yield of cocoa plantation in Ondo State, Nigeria. Data used for the study includes the rainfall data of 15 years from 2000 to 2014 collected from Ondo state agro climatological office as well as cocoa yield data for the same period of time from Ondo State ministry of agriculture and forest resources. Descriptive statistical method was employed to determine the relationship between both variables in which the result shows direct relationship between rainfall and cocoa yield. Results were presented using bar charts and line graph for the time series analysis of the variables. Linear regression statistical analysis was used to predict cocoa yield with certain amount of rainfall with the correlation coefficient ‘r’ value of 0.97 which implies that rainfall changes go a long way to determine the same variation trend in the cocoa yield. Though, not only the quantity of rainfall within the range of rainfall required for the growth of this crop affect the yield but its distribution. A little millimeter of rainfall above or below the required range of rain for cocoa plantation greatly affects cocoa yield.

scholarly journals HUBUNGAN GAYA KEPEMIMPINAN TERHADAP PRODUKTIVITAS KERJA KARYAWAN BAGIAN LIQUID PT ITRASAL YANG DIMEDIASI OLEH MOTIVASI KERJA

2018 ◽  
Vol 15 (01) ◽  
pp. 51
Author(s):  
Endang Rachmawati
Keyword(s):  
Leadership Style ◽  
Positive Relationship ◽  
Work Motivation ◽  
Primary Data ◽  
Linear Regression Method ◽  
Employee Productivity ◽  
Independent Variable ◽  
R Value ◽  
Relationship Of ◽  
The Relationship

INTISARI    Penelitian ini bertujuan untuk mengidentifikasi hubungan Gaya Kepemimpinan terhadap Produktivitas Karyawan PT. ITRASAL yang dimediasi oleh Motivasi Kerja. Penelitian ini menggunakan rancangan penelitian metode asosiatif dengan jenis penelitian  survey  yang akan mengungkapkan hubungan dua variabel, yaitu Gaya Kepemimpinan sebagai variabel bebas dan Produktivitas sebagai variabel terikat. Data primer berasal dari kuesioner yang disebarkan kepada karyawan bagian Liquid Departemen Produksi PT ITRASAL, dan hasil diskusi dengan karyawan bagian tersebut. Selanjutnya data yang diperoleh dianalisis menggunakan metode korelasi dan regresi linear. Dari penelitian ini diperoleh hasil bahwa nilai r untuk variabel Gaya Kepemimpinan terhadap Produktivitas adalah 0,557 dan nilai t adalah 8.951. Nilai r untuk variabel Gaya Kepemimpinan terhadap Motivasi adalah 0,278 dan nilai t adalah 5,022. Terdapat hubungan positif antara Gaya Kepemimpinan terhadap Produktivitas dan Gaya Kepemimpinan berpengaruh positif terhadap Motivasi. Nilai r untuk variabel Motivasi terhadap Produktivitas adalah 0,377 dan nilai t adalah 6,251. Terdapat hubungan positif antara Motivasi terhadap Produktivitas. Kata kunci : Gaya kepemimpinan, Motivasi kerja, Produktivitas karyawan  ABSTRACT  This study aims to identify the relationship of leadership style to employee productivity PT. ITRASAL is mediated by work motivation. This research uses the research design of associative method with the type of survey research that will reveal the relationship of two variables, namely Leadership Style as independent variable and productivity as dependent variable. Primary data comes from a questionnaire distributed to employees of the Liquid Department of Production Department of PT ITRASAL, and the results of discussions with employees of that section. Further data obtained were analyzed using correlation and linear regression method. From this research, the result that r value for leadership style variable to productivity is 0,557 and t value is 8,951. The r value for the leadership style variable for motivation is 0.278 and the t value is 5.022. There is a positive relationship between leadership style on productivity and leadership style have a positive effect on motivation. The r value for the Motivation variable on productivity is 0.377 and the t value is 6.251. There is a positive relationship between motivation to productivity. Keywords: Leadership style, Motivation work, Employee productivity

scholarly journals Regulasi Diri dengan Burnout pada Guru

2016 ◽  
Vol 6 (2) ◽  
pp. 113
Author(s):  
Sysditya Ekawanti ◽  
Olievia Prabandini Mulyana
Keyword(s):  
Significant Relationship ◽  
Quantitative Method ◽  
Self Regulation ◽  
P Value ◽  
Pearson Product Moment Correlation ◽  
Population Research ◽  
Significant Relationships ◽  
R Value ◽  
Heavy Workload ◽  
The Relationship

Teachers begin to experience symptoms of fatigue due to heavy workload characterized by working ineffectively in the classroom so that the interest of the students declined. This study aims to test whether there is relationship between self-regulation and burnout in teachers. The population was junior high school’s teacher. This study use population research, where all the population used as a sample. Researchers use all certified teachers in the school, participants are 35 teachers. The approach used is quantitative method. Data collected using self-regulation and burnout scales, and analyzed using pearson product moment correlation test. The results obtained from this study indicate that there is a significant relationship between self-regulation with burnout in teachers. Significant relationships are seen from the p-value of 0.017 and r value of -0.401. The r value indicates that the relationship between the two variables have a negative direction, meaning that the higher of self-regulation, the lower of burnout. Individual’s good self-regulation be able to cope stress and emotions, because of burnout arising drag on stress experienced by the individual.Abstrak: Guru mulai mengalami gejala kelelahan akibat beban kerja yang berat yang ditandai dengan kurang bekerja efektif didalam kelas sehingga minat kepada peserta didik menurun. Penelitian ini bertujuan untuk menguji apakah ada hubungan antara regulasi diri dengan burnout pada guru. Populasi penelitian ini adalah guru SMP. Penelitian ini menggunakan penelitian populasi, dimana semua populasi digunakan sebagai sampel penelitian. Peneliti menggunakan semua guru yang sudah sertifikasi di sekolah tersebut yang berjumlah 35 orang guru. Pendekatan yang digunakan ialah kuantitatif. Data dikumpulkan menggunakan skala regulasi diri dan burnout, dan dianalisis menggunakan uji korelasional pearson product moment. Hasil yang diperoleh dari penelitian ini menunjukkan bahwa terdapat hubungan yang signifikan antara regulasi diri dengan burnout pada guru. Hubungan yang signifikan tersebut dilihat dari nilai p sebesar 0,017 dan nilai r sebesar -0,401. Nilai r tersebut menunjukkan bahwa hubungan kedua variabel memiliki arah negatif, artinya semakin tinggi regulasi diri maka semakin rendah burnout. Regulasi diri yang baik yang dimiliki individu akan mampu mengatasi stres dan emosi dalam dirinya, karena burnout timbul akibat stres yang berkepanjangan yang dialami individu.

scholarly journals Analysis PM10 and Visibility During Forest Fire in Palangka Raya

2021 ◽  
Vol 893 (1) ◽  
pp. 012002
Author(s):  
A. Indrawati ◽  
D. F. Andarini ◽  
N. Cholianawati ◽  
Sumaryati
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Pm10 Concentration ◽  
The Other ◽  
Data Filtering ◽  
Coefficient Corrélation ◽  
High Bias ◽  
R Value ◽  
The Relationship ◽  
Regression Pattern

Abstract Forest fires have an impact on air quality and visibility. Visibility can be associated with a highly visual indicator of air pollution. This research aims to analyze the relationship between the PM10 concentration and visibility during the forest firest events and normal conditions in Palangkaraya from 2000 to 2014 by using a regression method. The relative humidity data was used to filter the PM10 and visibility. Furthermore, the equation resulted from the regression analysis was used to predict PM10 concentration in Palangka Raya. The result showed that the regression pattern tends to form a logarithmic function. Specifically, without filtering data, the coefficient correlation (r-value) during the forest fire events and normal conditions are 0.69 and 0.5, respectively. Meanwhile, a data filtering method gives a higher relationship between PM10 and visibility, with the r-value of 0.7 for the forest fire events and 0.68 for the normal condition. On the other hand, the prediction of PM10 concentration indicates a high bias value due to the other influenced factors that have not been included in this study.

The relationship between transformational leadership and job satisfaction in selected colleges at King Khalid University, Abha, Saudi Arabia

2019 ◽  
Author(s):  
Esther Iriagbonse Eroje ◽  
Erasmus Kofi Appiah ◽  
Alezi Braimoh Ifindon Eroje ◽  
MEER ZAKIRULLA ◽  
Jimly James Kunjappu ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Transformational Leadership ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Leadership Behaviour ◽  
R Value ◽  
The Relationship

Abstract Background Leadership has become the key issues in managing the organization, the emerging business and economic environments have forced organizations to be flexible, adaptive, entrepreneurial and innovative to meet changing demand of the present-day business environment. The purpose of the present study is to examine the relationship between the various dimensions of transformational leadership (predictor variable) and their effects on employees’ job satisfaction (criterion variable) in three selected Colleges (Medicine, Dentistry and Science) in King Khalid University. Methods The methodology employed in this study was a quantitative and cross-sectional correlational survey type of design Data collection was done using a questionnaire design that was directly administered to the participants. 250 questionnaires were sent to the participating three colleges (Medicine, Dentistry and Sciences). Results The findings of the multiple linear regression analysis indicated a weak positive association between transformational leadership behaviour and employees’ job satisfaction (R-value 0.386). The multiple linear regression analysis signifies a weak positive correlation between transformational leadership behaviour and job satisfaction (R-value 0.386). A p-value in Spearman’s rho that is less than the 0.05 level of significance indicated that there is a significant level of relationship which exists between transformational leadership behaviour and job satisfaction. Conclusions This study concluded that transformational leadership behaviour and its four dimensions showed a weak positive correlation with a statistically significant level of relationship between transformational leadership behaviour and employees’ job satisfaction among three selected colleges (Medicine, Dentistry and Sciences) in King Khalid University, Abha, Saudi Arabia.

scholarly journals Line and Subdivision Graphs Determined by T4-Gain Graphs

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 926 ◽  
Author(s):  
Abdullah Alazemi ◽  
Milica Anđelić ◽  
Francesco Belardo ◽  
Maurizio Brunetti ◽  
Carlos M. da Fonseca
Keyword(s):  
Spectral Properties ◽  
Incidence Matrix ◽  
Multiplicative Group ◽  
Line Graph ◽  
Characteristic Polynomials ◽  
Signed Graphs ◽  
Subdivision Graph ◽  
Gain Graphs ◽  
The Relationship ◽  
Gain Graph

Let T 4 = { ± 1 , ± i } be the subgroup of fourth roots of unity inside T , the multiplicative group of complex units. For a T 4 -gain graph Φ = ( Γ , T 4 , φ ) , we introduce gain functions on its line graph L ( Γ ) and on its subdivision graph S ( Γ ) . The corresponding gain graphs L ( Φ ) and S ( Φ ) are defined up to switching equivalence and generalize the analogous constructions for signed graphs. We discuss some spectral properties of these graphs and in particular we establish the relationship between the Laplacian characteristic polynomial of a gain graph Φ , and the adjacency characteristic polynomials of L ( Φ ) and S ( Φ ) . A suitably defined incidence matrix for T 4 -gain graphs plays an important role in this context.

scholarly journals Statistical Analysis of the Effects of Barking on Growth Potential in Xishuangbanna Area

2019 ◽  
Vol 131 ◽  
pp. 01092
Author(s):  
Zhao Yueshu ◽  
Tang Yin ◽  
Xiaoming Xue
Keyword(s):  
Sampling Method ◽  
Tropical Rainforest ◽  
Linear Regression Analysis ◽  
Economic Value ◽  
Economic Benefits ◽  
Regression Equation ◽  
Growth Potential ◽  
Growth Environment ◽  
Theoretical Support ◽  
The Relationship

Xishuangbanna is the most important tropical rainforest region in southwestern China, with important ecological and economic value. In order to obtain the huge economic benefits of planting Pu’er tea, the local people often use the method of ‘annular barking’ for the trees suitable for planting tea trees, so that the tea trees can absorb more nutrients and thus obtain higher economic benefits. In this paper, random sampling method is used to collect data of 12 species of trees totaling 1753 samples in Xishuangbanna where cases of barking happen frequently. By collecting the data such as the year of barking, the growth environment of trees and the growth potential of trees, using linear regression analysis, a regression equation for the tree growth potential and the year of the barking. Through analysis, it is found that the growth potential of the barked trees is negatively correlated with the years after being barked, and the regression equation for the relationship between survival rate and years after being barked is: Y=46.366-8.289x. The conclusion of this study will provide evidence of the tree damage and deaths caused by barking for forest police in Xishuangbanna, and provide strong theoretical support for the effective fight against criminals.

scholarly journals Effect of Climate Change on Maize Yield in the Growing Season: A Case Study of the Songliao Plain Maize Belt

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2108 ◽  
Author(s):  
Ari Guna ◽  
Jiquan Zhang ◽  
Siqin Tong ◽  
Yongbin Bao ◽  
Aru Han ◽  
...  
Keyword(s):  
Global Warming ◽  
Coupled Model ◽  
Growing Season ◽  
Maize Yield ◽  
Climate Data ◽  
Yield Data ◽  
Increasing Temperature ◽  
Songliao Plain ◽  
The Relationship

Based on the 1965–2017 climate data of 18 meteorological stations in the Songliao Plain maize belt, the Coupled Model Intercomparision Project (CMIP5) data, and the 1998–2017 maize yield data, the drought change characteristics in the study area were analyzed by using the standardized precipitation evapotranspiration index (SPEI) and the Mann–Kendall mutation test; furthermore, the relationship between meteorological factors, drought index, and maize climate yield was determined. Finally, the maize climate yields under 1.5 °C and 2.0 °C global warming scenarios were predicted. The results revealed that: (1) from 1965 to 2017, the study area experienced increasing temperature, decreasing precipitation, and intensifying drought trends; (2) the yield of the study area showed a downward trend from 1998 to 2017. Furthermore, the climate yield was negatively correlated with temperature, positively correlated with precipitation, and positively correlated with SPEI-1 and SPEI-3; and (3) under the 1.5 °C and the 2.0 °C global warming scenarios, the temperature and the precipitation increased in the maize growing season. Furthermore, under the studied global warming scenarios, the yield changes predicted by multiple regression were −7.7% and −15.9%, respectively, and the yield changes predicted by one-variable regression were −12.2% and −21.8%, respectively.

Can concentrations of trans octadecenoic acids in milk fat be used to predict methane yields of dairy cows?

2017 ◽  
Vol 57 (7) ◽  
pp. 1465 ◽  
Author(s):  
P. J. Moate ◽  
S. R. O. Williams ◽  
M. H. Deighton ◽  
M. C. Hannah ◽  
J. L. Jacobs ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Milk Fat ◽  
Meta Analysis ◽  
Exponential Model ◽  
Methane Emissions ◽  
Methane Yield ◽  
Trans Isomers ◽  
Yield Data ◽  
Octadecenoic Acids ◽  
The Relationship

There is a need to develop simple, accurate methods for predicting methane emissions, yields and intensities of dairy cows. Several studies have focussed on the relationship between the concentrations of trans-10 plus trans-11 C18:1 fatty acids in milk fat and methane yield. The aim of the present study was to perform a meta-analysis to quantify relationships between the concentrations of various trans isomers of C18:1 in milk fat and methane emissions (g/day), methane yield (g/kg dry-matter intake) and methane intensity (g/kg energy-corrected milk yield). Data were from seven experiments encompassing 23 different diets and 220 observations of milk fatty acid concentrations and methane emissions. Univariate linear mixed-effects regression models were fitted to the data with the linear term as a fixed effect and with experiment and observation within experiment as random effects. Concentrations of trans-9, trans-10, trans-11 and trans-10 plus trans-11 isomers of C18:1 were poorly related to methane emissions, yields and intensities, with the best relationships being between trans-10 C18:1 and methane emissions (R2 = 0.356), trans-10 C18:1 and methane yield (R2 = 0.265) and trans-10 plus trans-11 C18:1 and methane intensity (R2 = 0.124). The data indicated that the relationships between trans-10 C18:1 and methane metrics were not linear, but were biphasic and better described by an exponential model. However, even exponential models poorly fitted the data. It is concluded that the concentrations of trans isomers of C18:1 have limited potential to accurately predict methane emissions, yields or intensities of dairy cows.

Effect of Texture on Secondary Work Embrittlement of IF Steels

2011 ◽  
Vol 399-401 ◽  
pp. 156-159
Author(s):  
Qing Song Wu ◽  
Hong Chuan Zhu ◽  
Jiang Tao Zhao ◽  
Fang Yi Sun ◽  
Kuan Hei Hu
Keyword(s):  
Strain Ratio ◽  
Fiber Texture ◽  
Interstitial Free ◽  
Plastic Strain Ratio ◽  
Analysis Technique ◽  
Electron Microscopy Analysis ◽  
Embrittlement Temperature ◽  
Microscopy Analysis ◽  
R Value ◽  
The Relationship

The relationship between texture and secondary work embrittlement of interstitial-free steels was studied by X-ray analysis technique and scanning electron microscopy analysis technique. The results indicated that the stronger the γ fiber texture was, the higher the plastic strain ratio (r-value) was, and Secondary work embrittlement temperature rose as r-value increased or γ fiber texture intensified. The mode of secondary work embrittlement fracture was a blend of cleavage fracture and intergranular fracture, and the fraction of cleavage fractures decreased gradually as secondary work embrittlement temperature rose.

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