scholarly journals Prediction of Japanese quail egg weight using egg components as regressors

2020 ◽  
Vol 46 (5) ◽  
pp. 34-39
Author(s):  
I. O. Dudusola ◽  
E. A. Adeyemi ◽  
S. I. Ayodele
Keyword(s):  
Linear Regression ◽  
Shell Thickness ◽  
Prediction Equation ◽  
Descriptive Statistics ◽  
Regression Equations ◽  
Simple Linear Regression ◽  
Egg Weight ◽  
Japanese Quails ◽  
Egg Components ◽  
Haugh Unit

This study was conducted on one hundred freshly laid eggs from Japanese quails with the purpose of predicting quail egg weight (EW) from some internal and external egg components, and also to have accurate and reliable models, for the prediction of egg weight without the use of sensitive scale. The following external (egg weight, egg width, egg length, shell thickness) and internal (yolk width, yolk length, albumen height and haugh unit) components were measured and the level of relationships between them were determined. Descriptive statistics for egg weight, egg length, egg width, albumen height, yolk height, yolk width, shell thickness and haugh unit were 9.13g, 2.97cm, 2.33cm, 0.57cm, 1.14cm, 2.18cm, 0.13mm and 57.58, respectively. Intercept and slope of regression between variables were determined. Generated values were used in multiple, double and simple linear regression equations, respectively. A total of ten prediction equations comprising three multiple, six double and nine simple linear resulted from the data generated. All the equations developed can be used in egg type quail operations. Each prediction equation with egg weight as the dependent variable will assist poultry breeders and farmers in particular in determining the precise egg weight of eggs laid by birds on the farm.

scholarly journals A COMPARISON OF THE PERFORMANCE OF CAGED LAYERS FED SORGIIUM GRAIN OR PEARL MILLET*

2021 ◽  
Vol 15 ◽  
pp. 127-133
Author(s):  
J. Y. ODIBA ◽  
P. E. SANFORD
Keyword(s):  
Adverse Effects ◽  
Pearl Millet ◽  
Shell Thickness ◽  
Egg Production ◽  
Feed Consumption ◽  
Feed Conversion ◽  
Egg Weight ◽  
Egg Shell ◽  
Sorghum Grain ◽  
Haugh Unit

Two 280-day trials, each involving 468, 22-week-old caged commercial egg-strain pullets were conducted to Compare millet and sorghum grain as the main source of energy in laying diets. Diets containing 59.2 and 0, 41.0 and 24.0, 31.2 and 36.3 and 0 and 72.5% of sorghum grain and pearl millet, respectively, were studied in both trials The diets containing millet supported egg production, egg weight, feed conversion and egg shell thickness equivalent to those of the all-sorghum diet. Except in Trial 1, feed consumption of the pullets fed the millet-containing   diets was not significantly lower than that of the pullets fed the all-sorghum diet. Haugh unit values tended to decrease as the level of millet was decreased. Feeding millet at a level as high as 72.5% Of the diet may have adverse effects on egg specific gravity and haugh units

scholarly journals THE EFFECT OF USING SOCIAL MEDIA TOWARDS STUDENTS’ READING COMPREHENSION

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Prima Gusti Yanti ◽  
Fairul Zabadi ◽  
Fauzi Rahman
Keyword(s):  
Social Media ◽  
Reading Comprehension ◽  
Simple Random Sampling ◽  
Descriptive Statistics ◽  
Regression Equations ◽  
Simple Linear Regression ◽  
Reading Tests ◽  
Correlational Method ◽  
Use Of Social Media ◽  
Very High

This study aims to determine the effect of the activity of using social media on the ability of college students to reading comprehension. This type of research is quantitative with a correlational method. The sample in this study was taken with simple random sampling. PBSI FKIP UHAMKA active students approximately 600 students who if taken a sample of 25% at random, would choose 150 students. Data collection techniques using questionnaires and reading tests, while data analysis using descriptive statistics and simple linear regression equations. The results of this study indicate that the intensity of the use of social media in the percentage of students is 45% moderate, 25% low, 25% high, and 7% very high, obtained the regression equation . These findings indicate that the more activity on social media, the lower the level of reading comprehension although not significantly.

scholarly journals Regression models for estimating chick hatchling weight from some egg geometry traits

2018 ◽  
Vol 34 (3) ◽  
pp. 323-334
Author(s):  
Nadya Mincheva ◽  
Mitko Lalev ◽  
Magdalena Oblakova ◽  
Pavlina Hristakieva
Keyword(s):  
Linear Regression ◽  
Surface Area ◽  
Regression Models ◽  
Linear Models ◽  
Geometric Mean ◽  
Coefficient Of Determination ◽  
Regression Equations ◽  
Linear Regression Models ◽  
Egg Weight ◽  
Mean Diameter

The prediction of chicks? weight before hatching is an important element of selection, aimed at improving the uniformity rate and productivity of birds. With this regards, our goal was to develop and evaluate optimum models for similar prediction in two White Plymouth Rock chickens lines - line L and line K on the basis of the incubation egg weight and egg geometry characteristics - egg maximum breadth (B), egg length (L), geometric mean diameter (Dg), egg volume (V), egg surface area (S). A total of 280 eggs (140 from each line) laid by 40-weekold hens were randomly selected. Mean arithmetic values, standard deviations and coefficients of variation of studied parameters were determined for each line. Correlation coefficients between the weight of hatchlings and predictors were the highest for egg weight, geometric mean diameter, volume and surface area of eggs (r=0.731-0.779 for line L; r=0.802-0.819 for line ?). Nine linear regression models were developed and their accuracy evaluated. The regression equations of hatchlings? weight vs egg length had the lowest coefficient of determination (0.175 for line K and 0.291 for line L), but when egg length and breadth entered the model together, its value increased significantly up to 0.541 and 0.665 for lines L and K, respectively. The weight of day-old chicks from line L could be predicted with higher accuracy with a model involving egg surface area apart egg weight (ChW=0.513EW+0.282S - 10.345; R2=0.620). In line ? a more accurate prognosis was attained by adding egg breadth as an additional predictor to the weight in the model (ChW=0.587EW+0.566? - 19.853; R2=0.692). The study demonstrated that multiple linear regression models were more precise that single linear models.

scholarly journals Employees’ Participation in Decision Making and Employees’ Productivity

2020 ◽  
pp. 63-76
Author(s):  
Hyginus Emeka Nwosu ◽  
Merit Okoh ◽  
Amadi Goodluck
Keyword(s):  
Decision Making ◽  
Linear Regression ◽  
Positive Relationship ◽  
Mission Statement ◽  
Descriptive Statistics ◽  
Survey Method ◽  
Decision Making Process ◽  
Simple Linear Regression ◽  
Significant Positive Relationship ◽  
Participation In Decision Making

This study on employees’ participation on decision making and employees’ productivity was elicited to determine the extent to which employee participation in developing the mission statement, employee participate in policies and procedure formulation, and employees’ participation in the bonus/benefit determination enhance employees’ productivity. A total of 3901 populations were studied and 363 sample sizes was used to determine the effect of employees’ participation in decision making on employees’ productivity in Ebonyi state. The survey method was adopted; questionnaires and interviews were used for data collection. Descriptive statistics and Simple linear regression model was used. The findings show that there is a significant positive relationship between employees’ participation in decision making and employees’ productivity. The study, therefore, recommends among others that the management of the institutions especially academic institutions should continue to allow employees to participate in the decision-making process for increasing productivity.

scholarly journals The Effect of Leadership Style on Employee Performance of the PPIC Division of PT. Prima Components Indonesia BSD-Tangerang

2019 ◽  
Vol 3 (1) ◽  
pp. 61
Author(s):  
Suyatin Suyatin
Keyword(s):  
Linear Regression ◽  
Leadership Style ◽  
Automotive Industry ◽  
Research Method ◽  
Employee Performance ◽  
Hypothesis Test ◽  
Statistical Tests ◽  
Regression Equations ◽  
Linear Regression Equation ◽  
Simple Linear Regression

The automotive industry is one of the mainstay sectors whose development continues to be prioritized. The purpose of this study was to determine the effect of leadership style on the performance of the employees of PT. Prima Components Indonesia BSD-Tangerang. The research method uses quantitative, saturated sampling, which means that the entire population is sampled as many as 45 respondents. Statistical tests use simple linear regression equations, correlation coefficient tests, determination coefficient tests, and significance tests. The results of the study found that there was an influence of leadership style on the performance of employees of the PPIC Division of the Department of PT. Prima Components Indonesia BSD-Tangerang, based on the results of data analysis shows that from the correlation of 0.619 it can be concluded that there is a strong influence between leadership style on the employee performance of the PPIC Division of the Department of PT. Prima Components Indonesia BSD-Tangerang, The results of the coefficient of the determination indicate that the leadership style contributes 38.3% to employee performance, the remaining 61.7% is influenced by other variables. Simple linear regression equation Y = 1.454 + 0.629X In the hypothesis test tcount 5.163> ttable 1.68 then Ho is rejected H1 is accepted, meaning that there is a significant influence between leadership style on employee performance at the PPIC Department of PT. Prima Components Indonesia BSD-Tangerang.

scholarly journals PENGARUH LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN PADA PT. HADE DINAMIS SEJAHTERA

2020 ◽  
Author(s):  
Vicky Karina ◽  
Silvy Sondari Gadzali ◽  
Isniar Budiarti
Keyword(s):  
Linear Regression ◽  
Work Environment ◽  
Employee Performance ◽  
Descriptive Analysis ◽  
Descriptive Statistics ◽  
Good Work ◽  
Simple Linear Regression ◽  
The Past ◽  
Research User ◽  
Independent Variable

Kinerja Karyawan pada PT. Hade Dinamis Sejahtera mengalami kemunduran selama dua tahun terakhir yang diindikasi karena pengaruh Lingkungan Kerja yang kurang memadai. Pengaruh lingkungan kerja terhadap kinerja karyawan, bahwa para karyawan menaruh perhatian yang besar terhadap lingkungan kerja mereka, baik dari segi kenyamanan pribadi maupun kemudahan melakukan pekerjaan dengan baik. Penelitian menggunakan pendekatan kuantitatif. Teknik pengumpulan data menggunakan kuesioner yang disebarkan kepada karyawan PT. Hade Dinamis Sejahtera. Jumlah populasi dalam penelitian ini berjumlah 112 orang, pengambilan sampel yang digunakan oleh peneliti adalah  teknik acak sederhana. Analisis data yang digunakan adalah statistik deskriptif dan analisis regresi linier sederhana dengan menggunakan software SPSS 22 untuk membantu perhitungannya. Hasil penelitian ini menunjukan bahwa secara simultan variabel bebas lingkungan kerja (X) berpengaruh signifikan terhadap variabel terikat yaitu kinerja karyawan (Y). Sementara itu, analisis deskriptif menunjukan bahwa dengan lingkungan kerja yang berada pada tingkat kuat, didapatkan kinerja karyawan yang kuat pula.   The employee performance at PT. Hade Dinamis Sejahtera has been decreasing over the past two years due to an inadequate work environment. Work environment on employee performance, that employees pay great attention to their work environment, both in terms of personal comfort and ease of doing good work. This research user a quantitative approach and data collection techniques using a distributed questionnaire to employees of PT. Hade Dinamis Sejahtera. The population in this study amounted to 112 people, the sampling used in this research was a simple random technique. The data analisys used was descriptive statistics and simple linear regression using SPSS 22 software to help the calculationThe results of this study indicate that simultaneously the independent variable work environment (X) significantly influences the dependent variable employee performance (Y). Meanwhile, descriptive analysis shows that with a strong level work environment is also obtained strong employee performance.

scholarly journals PENGARUH KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN PAKAIAN MUSLIM PADA TOKO SEDIA PEUREULAK ACEH TIMUR

2019 ◽  
Vol 4 (2) ◽  
pp. 127-140
Author(s):  
Febi Febi ◽  
T. Muana Refi ◽  
Andi Tarlis
Keyword(s):  
Linear Regression ◽  
T Test ◽  
Regression Equations ◽  
Simple Linear Regression ◽  
Testing Hypotheses ◽  
Research Results ◽  
Test Correlation ◽  
Correlation Coeffi

This study aims to determine the effect of buying interest to the decision purchasing Muslim clothes on Sedia Toko Peureulak East Aceh. The sample in this study was 96 consumers, and the analysis equipment used simple linear regression equations, partial t-test, correlation coeffi cient, and determination coeffi cient testing. Based on the research results obtained by Y = 10.018 + 0,567X, testing coeffi cient correlation of 0.569, testing the determination coeffi cient 0.324 and testing hypotheses in the obtained tcount > ttable or 6.716 > 1.985 and tsig < 5% or 0.00 < 0.05. Thus the hypothesis of allegedly effect buying interest to decision purchasing Muslim clothes in East Aceh Peureulak Sedia Toko accepted.

scholarly journals Pengaruh Topografi dan Umur Ayam yang Berbeda terhadap Ketebalan Kerabang dan Ph Telur Ayam Ras Petelur

bionature ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Andika Dony Wijaya ◽  
Munir Munir ◽  
Muh. Jurhadi Kadir
Keyword(s):  
Data Collection ◽  
Shell Thickness ◽  
Block Design ◽  
Eggshell Thickness ◽  
Egg Weight ◽  
Factor B ◽  
Randomized Block Design ◽  
Three Stages ◽  
Topographic Influence ◽  
Haugh Unit

Abstract. This study aims to determine the effect of topography and age of different breeds of chickens on egg weight and haugh unit. The study was conducted in August 2018, data collection was taken from Amparita Village, Tellu Limpoe District, Sidenreng Rappang Regency, Mario Village Kulo District, Sidenreng Rappang District and Kaluppang Village, Maiwa District, Enrekang District. The study used 135 eggs as eggs. The study used a Factorial Randomized Block Design with three stages of treatment and three repetitions, namely Factor A (Age of chicken 30 weeks, age of chicken 50 weeks, and age of chicken 70 weeks) then Factor B (Topography of lowland, medium and high). The treatment of topographic influence and age of laying chicken showed that the age of different chickens had no significant effect (P> 0.05) on eggshell thickness while the topography greatly affected eggshell thickness (P <0.01). Different age of race chicken has significant effect (P <0.05) on egg pH, and different topography has very significant effect (P <0.01) on egg ph.Keywords:                    Laying Chicken, Topography, Chicken Age, Shell Thickness and Egg pH

scholarly journals Hubungan Kreativitas Mengajar Pendeta dengan Motivasi Belajar Anak Katekisasi Sidhi

Kurios ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 367
Author(s):  
Andar Gunawan Pasaribu
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Student Learning ◽  
Statistical Tests ◽  
Attitude Scale ◽  
Descriptive Statistics ◽  
Learning Motivation ◽  
Average Score ◽  
Simple Linear Regression ◽  
High Category

The purpose of this study was to analyze the effect of creativity variables on student learning motivation. The method used in this research is a quantitative approach using descriptive statistics and simple linear regression statistical tests. Data collection techniques used a Likert attitude scale with four answer choices distributed to 32 students who were respondents in this study. The results showed that the variable obtained an average score of 41,68 which was included in the high category while the Student Learning Motivation variable obtained an average score of 36,50 which was also included in the high category. The results of data processing showed that there was an influence of creativity variables on Student Learning Motivation by 18,9 % meaning that changes in the learning Motivation variable by 18,9% could be explained by changes in creativity variables. Abstrak Tujuan dari penelitian ini adalah untuk menganalisa pengaruh variable kreativitas terhadap motivasi belajar anak katekisasi sidhi. Metode yang digunakan dalam penelitian ini, yaitu pendekatan kuantitatif dengan mengunakan regresi linear sederhana. Teknik pengumpulan data mengunakan skala sikap Likert dengan empat pilihan jawab yang dibaikan kepada 32 orang anak katekisasi sidhi yang menjadi responden dalam penelitian ini. Hasil penelitian menunjukan bahwa varia-bel kreativitas memperoleh skor rata-rata sebesar 41,68 yang termasuk dalam kate-gori tinggi sementara variabel motivasi belajar anak katekisasis sidhi memperoleh skor rata-rata sebesar 36,50 yang juga termasuk dalam kategori tinggi. Hasil pe-ngolahan data menunjukkan ada korelasi variabel kreativitas mengajar terhadap motivasi belajar anak katekisasi sidhi sebesar 18,9%, artinya perubahan dalam variabel motivasi belajar sebesar 18,9 % dapat dijelaskan oleh perubahan dalam variable kreativitas.

scholarly journals PENGARUH PROMOSI BUKU PENERBIT MEDIAKITA DI INSTAGRAM TERHADAP PROSES KEPUTUSAN PEMBELIAN GENERASI Z

2004 ◽  
Vol 18 (1) ◽  
pp. 19-34
Author(s):  
Widuri Dwi Astuti ◽  
◽  
Retor Aquinaldo Wirabuanaputera Kaligis
Keyword(s):  
Linear Regression ◽  
Digital Technology ◽  
Decision Process ◽  
Virtual World ◽  
Descriptive Statistics ◽  
Age Group ◽  
Simple Linear Regression ◽  
Generation Z

: This research examines the use of digital technology, Instagram, as a means to promote books. Through Instagram, Penerbit Mediakita targets Generation Z, a figital age group that assumes the virtual world as a part of their reality. The questionnaire is distributed via the Instastory of @mediakita and responded by 1.547 followers. Data are analyzed using descriptive statistics and simple linear regression. This study concludes that Instagram has a significant effect on the buying decision process. However, a better strategy and more attractive and interactive promotional content are required.

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