scholarly journals Hubungan antara Morfologi Ambing, Produksi Susu dan Komponen Susu pada Sapi Friesian Holstein

2019 ◽  
Vol 19 (2) ◽  
pp. 91-98
Author(s):  
Dian Wijayanti Solechah ◽  
Dian Wahyu Harjanti ◽  
Rudy Hartanto
Keyword(s):  
Linear Regression ◽  
Dairy Cows ◽  
Milk Production ◽  
Significant Relationship ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Holstein Friesian ◽  
Livestock Productivity ◽  
The Relationship

ABSTRAK. Ukuran-ukuran ambing merupakan salah satu indikator yang menentukan produksi susu sapi perah. Morfologi ambing dapat digunakan untuk menilai produktivitas ternak. Penelitian ini bertujuan untuk mengetahui hubungan antara ukuran-ukuran ambing, produksi susu dan komponen susu. Materi yang digunakan yaitu 30 ekor sapi (Friesian Holstein) FH periode laktasi III-V dan bulan laktasi 3-4. Analisis yang digunakan adalah regresi linier sederhana dengan SPSS 16. Hasil penelitian menunjukkan ada hubungan yang nyata (P 0,05) antara kedalaman ambing belakang dan panjang ambing terhadap produksi susu secara berturut-turut dengan persamaan regresi Y = -1,142 + 0,435 X (r = 0,494 dan R2 = 0,244),Y = -9,197 + 0,463 X (r = 0,625 dan R2 = 0,390), lebar ambing belakang terhadap produksi susu dan jarak antar puting depan dengan produksi susu dengan persamaan regresi secara berturut-turut Y = 1,236 + 0,28 X (r = 0,397 dan R2 = 0,157) dan Y = 17,203-0,996 X (r = 0,367 dan R2 = 0,134). Kesimpulan yang didapat bahwa ada hubungan antara ukuran-ukuran ambing dengan produksi susu sapi Friesian Holstein, dimana terdapat hubungan yang signifikan antara kedalaman ambing belakang, panjang ambing serta lebar ambing belakang dan jarak antar puting depan dengan produksi susu dengan koefisien korelasi (r) tertinggi sebesar 0,625 dan koefisien determinasi (R2) sebesar 39%.  (Relationship between udder morphology, milk production and milk components of friesian holstein cows) ABSTRACT. The size of the udder is one indicator that determines the production of dairy cows. The udder morphology can be used to assess livestock productivity. This study aimed to determine the relationship between udder measurements, components of milk and milk production. The material used was 30 Holstein Friesian (FH) lactation periods III-V and lactation months 3-4. The analysis used was a simple linear regression with SPSS 16. The results showed a significant relationship (P 0.05) between the depth of the udder and length of the udder to milk production in a row with the regression equation Y = -1,142 + 0,435 X (r = 0,494 and R2 = 0,244), Y = -9,197 + 0,463 X (r = 0,625 and R2 = 0,390), width of the rear udder to milk production and the distance between the front nipple and milk production with consecutive regression equation Y = 1,236 + 0,28 X (r = 0,397 and R2 = 0,157) and Y = 17,203 – 0,996 X (r = 0,367 and R2 = 0,134). The conclusion that there is a relationship between udder measurements with Holstein Friesian milk production, where there is a significant relationship between the depth of the udder, udder length and width of the udder and the distance between the front nipples with milk production with the highest correlation coefficient (r) of 0,625 and the coefficient of determination (R2) of 39%.

scholarly journals Relationship between Cognitive Style and Habits of Mind

2019 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Hayatun Nufus ◽  
Rezi Ariawan
Keyword(s):  
Linear Regression ◽  
Cognitive Style ◽  
Significance Test ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Habits Of Mind ◽  
Linear Regression Equation ◽  
Research Subjects ◽  
Analysis Technique ◽  
The Relationship

This research is a correlational study that examines the relationship between cognitive style and habits of mind. The research subjects involved 4th semester students in the Department of Mathematics Education at the Faculty of Tarbiyah and Teacher Training of UIN Suska Riau which consisted of students with heterogeneous academic abilities. Cognitive style data was collected using the GEFT question instrument with test techniques. Habits of mind data were collected using a questionnaire instrument with a questionnaire distribution technique. The data analysis technique begins with the Pearson Product Moment correlation test which is continued with the significance test and the calculation of the magnitude of the relationship that occurs using the coefficient of determination. Because the data is positively correlated, it continues with determining the linear regression equation. The results showed that there was a significant weak correlation between cognitive style and habits of mind with a relationship score of 6% and a linear regression equation y '= 36.35 + 0.31 x.

scholarly journals PENGARUH KEPEMIMPINAN KEPALA SEKOLAH TERHADAP KINERJA GURU PADA SEKOLAH DASAR NEGERI 006 PERAWANG BARAT

2019 ◽  
Vol 10 (4) ◽  
pp. 493-505
Author(s):  
Herman Rupat
Keyword(s):  
Elementary School ◽  
Linear Regression ◽  
Principal Leadership ◽  
Research Method ◽  
Teacher Performance ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Linear Regression Equation ◽  
Simple Linear Regression ◽  
Research Population

The research was conducted at Elementary School 006 Of Perawang Barat. The purpose of this study is to determine the influence of Principal Leadership on Teacher Performance at Elementary School 006 Of Perawang Barat. The research method is descriptive with quantitative approach, with the research population is teachers of Elementary School 006 Of Perawang Barat as many as 43 teachers. While the number of samples determined in this study is the entire population minus 1 principal so that a total of 42 teachers. Based on simple linear regression equation Y = 22,609 + 0,744X. hence seen constants equal to 22,609, so influace of principal leadership on teacher performance is positive proven b = 0,744 meaning that every increase of headmaster leadership one unit will increase teacher performance at Elementary School 006 Of Perawang Barat at 1,235. The Leadership variable with tcount 4,264 > ttable 2,021 with significant level 0.000 less than 5%. Then Ho is rejected and Ha accepted, meaning the leadership variable of principal has a positive and significant effect on teacher performance in Elementary School 006 Of Perawang Barat. The value of R-square (coefficient of determination) is 0,313, this indicates that the principal's leadership contributes to the teacher performance in Elementary School 006 Of Perawang Barat by 31,3%, while the rest (100% - 31,3%) = 68,7% influenced by other variable outside of variable in this research.

scholarly journals What’s in a Coefficient? The “Not so Simple” Interpretation of R2, for Relatively Small Sample Sizes

2019 ◽  
Vol 7 (12) ◽  
pp. 27
Author(s):  
Nizar Zaarour ◽  
Emanuel Melachrinoudis
Keyword(s):  
Standard Deviation ◽  
Linear Regression ◽  
Small Sample ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Sample Sizes ◽  
Simple Interpretation ◽  
Small Sample Sizes ◽  
Level Of Significance ◽  
The Relationship

There are several misconceptions when interpreting the values of the coefficient of determination, R2, in simple linear regression. R2 is heavily dependent on sample size n and the type of data being analyzed but becomes insignificant when working with very large sample sizes. In this paper, we comment on these observations and develop a relationship between R2, n, and the level of significance α, for relatively small sample sizes. In addition, this paper provides a simplified version of the relationship between R2 and n, by comparing the standard deviation of the dependent variable, Sy, to the standard error of the estimate, Se. This relationship will serve as a safe lower bound to the values of R2. Computational experiments are performed to confirm the results from both models. Even though the focus of the paper is on simple linear regression, we present the groundwork for expanding our two models to the multiple regression case.

scholarly journals HUBUNGAN ANTARA EFEKTIVITAS KEPEMIMPINAN KEPALA SEKOLAH DAN IKLIM ORGANISASI DENGAN PRODUKTIVITAS KERJA GURU SEKOLAH DASAR NEGERI DI KECAMATAN TENGGARONG

2020 ◽  
Vol 4 (1) ◽  
pp. 55-67
Author(s):  
M Azhari
Keyword(s):  
Organizational Climate ◽  
Significant Relationship ◽  
Quantitative Research ◽  
Work Motivation ◽  
Descriptive Analysis ◽  
Work Productivity ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Organisational Climate ◽  
The Relationship

The research purposes are to find out  the relationship between effectiveness principals leadership with teachers work productivity, the relationship between organisational climate with teachers work productivity, the relationship between effectiveness principals leadership and organisational climate simultaneously with teacher’s work productivity. The population of this research were teachers of elementary school in Tenggarong District, with the total of 750 teachers and 88 of them were taken as sample by using random sampling. Quantitative research method is the kind of descriptive research with correlative study. The result of descriptive analysis showed that there has constribution teachers work productivity was in middle  category, is equal to 60%, the majority of effectiveness principals leadership in middle category that is equal to 56%, and the organisational climate is in the middle category. So  majority that is equal to 62%. Thus a good descriptive performance, motivation and discipline of teachers working at the medium category.  The results found that (a) there was a positive and significant relationship between effectiveness principals leadership (X1) with teacher’s work productivity (Y) at a weak level, amounting to 0.356 with a 0.114 coefficient of determination, and the regression equation Ŷ = 37.438 +0.56 X1.  (b) there was a positive and significant relationship of organizational climate (X2) teacher’s work productivity (Y) at the current level of closeness, amounting to 0.491 with a coefficient of determination value of 0.2411, and the regression equation Y = 9.082 + 1199X2 (c) there was a positive and highly significant correlation between the variables of work motivation of teachers (X1) and the variable of work discipline teachers (X2) together with special-ed teacher performance variables Samarinda (Y) at the level of closeness that is, that is equal to 0.646 with value coefficient of determination of 0.418 and regression equation y = 11 460 + 0.152X1 + 1.317X2.

scholarly journals Hubungan kemampuan manajerial kepala satuan PAUD dan self-efficacy guru dengan kinerja guru di Kecamatan Bukit Kerman kaBupaten Kerinci Propinsi Jambi

2018 ◽  
Vol 6 (2) ◽  
pp. 204
Author(s):  
Rizki Amanda Amanda ◽  
Yoyon Suryono
Keyword(s):  
Early Childhood ◽  
Early Childhood Education ◽  
Linear Regression ◽  
Significant Relationship ◽  
Self Efficacy ◽  
Coefficient Of Determination ◽  
Managerial Ability ◽  
Childhood Education ◽  
Teacher Self Efficacy ◽  
The Relationship

Penelitian ini bertujuan untuk mengukur hubungan kemampuan manajerial kepala satuan PAUD dan self-efficacy guru dengan kinerja guru PAUD. Penelitian ini merupakan penelitian korelasional dengan pendekatan kuantitatif. Sampel penelitian adalah seluruh guru PAUD non-formal yang ada di Kecamatan Bukit Kerman yang  berjumlah 59 guru. Teknik sampling yang digunakan adalah sampling jenuh dimana populasi dijadikan sampel. Data dikumpulkan menggunakan angket yang telah divalidasi oleh ahli dan selanjutnya di uji validitas dan reliabilitasnya. Data dianalisis menggunakan statistik deskriptif, regresi linear sederhana dan regresi linier ganda. Hasil pengujian menunjukkan bahwa (1) terdapat hubungan yang signifikan antara kemampuan manajerial satuan PAUD dengan kinerja guru, (2) terdapat hubungan yang signifikan antara self-efficacy dengan kinerja guru, (3) terdapat hubungan yang signifikan antara kemampuan manajerial kepala satuan PAUD dan self-efficacy guru secara simultan terhadap kinerja guru.Kata Kunci: Kemampuan manajerial, self-efficacy, kinerja guru THE RELATIONSHIP BETWEEN THE PRINCIPAL’S MANAGERIAL ABILITY AND TEACHER SELF-EFFICACY ON TEACHER’S PERFORMANCE OF EARLY CHILDHOOD EDUCATION IN BUKIT KERMAN DISTRICT KERINCI REGENCYAbstractThis study aims to determine the relationship between the managerial ability of the principal of early childhood education and teacher self-efficacy and teacher’s performance. This study uses a quantitative approach. The sample of the research was all non-formal early childhood teachers in Bukit Kerman district, which amounted to 59 teachers. The sampling technique used was saturated sampling where the population was sampled. Data were collected using questionnaires that have been validated by experts and subsequently tested for validity and reliability. Data were analyzed using descriptive statistics, simple linear regression and multiple linear regression and coefficient of determination calculation. The result of the test shows that: (1) there is a significant relationship between the managerial ability of principal of early childhood education and teacher’s performance, (2) there is a significant relationship between self-efficacy with teacher’s performance, and (3) there is a significant relationship between managerial ability of principal of early childhood education and teacher self-efficacy simultaneously on teacher performanceKeywords: Managerial ability, self-efficacy, teacher performance

scholarly journals Study on Optimalization of Own-Source Revenue in Regencies and Municipals in Central Java Province

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Jalu Adi Prakoso ◽  
Suci Rahmawati Prima ◽  
M. Chrisna Satriagasa ◽  
M. Syahli IMNS
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Positive Trend ◽  
Simple Linear Regression ◽  
Local Revenue ◽  
Central Java ◽  
The Government ◽  
The Relationship ◽  
Central Java Province

<p>Optimizing the management of potential areas would provide additional revenue for the region. This research aims to assess whether the government in the counties and cities in Central Java province has been optimally manage their potentials so as to provide benefits beupa increased local revenues derived from the wealth management area. Through the relationship between the variables of the original income (PAD) and the Gross Domestic Product (GRDP) in the counties and cities in Central Java is expected to be known whether each area has been optimal in obtaining local revenue. The data used is data sekuder form of data revenues and GRDP in counties and cities in the province of Central Java during the years 2011-2013 were berusmber from the Central Statistics Agency (BPS), the Supreme Audit Agency (BPK), Report of Realized APBD, and RPJMD Central Java.</p><p>Methods of data analysis in this research is to use a simple linear regression analysis (OLS Model) and design analysis group. The analysis showed the existence of ties between the GRDP and the PAD. The magnitude of the relationship analyzed by simple linear regression, where the results indicate a positive trend. That is, there is a directly proportional relationship anatara GRDP and PAD. The coefficient of determination of 99.9% explained that the GRDP variable can be explained by the variable revenue of 99.9%, while 0.1% is explained by other variables.</p><p>The analysis showed that the GRDP value of the coefficient b&gt; b PAD either at the district, town and overall. These results indicate that there has been no attempt by the government to manage PAD so as to generate the GRDP increase. The government can manage the outcome of PAD to be used in a way that increases the GRDP obtained. As for the test results to determine differences in optimizing the management of local revenue between districts and cities showed that the district can generate GRDP is greater with smaller PAD. It shows that the effort made by the district is more efficient than the effort undertaken by the municipality.</p><p>Spatial analysis shows a comparison of the GRDP against the PAD in each county and city in Central Java province is divided into four clusters. Each cluster has a distinct regional characteristics seen from economic activity. The results of the socio-economic analysis of the economy in Central Java province when seen from the conditions of employment, which absorbs the most amount of power keraja is in the agricultural sector, which amounted to 31%, followed by the trade sector 22% and industry 19%.</p><p>Keyword: Decentralization, PAD, GRDP</p>

scholarly journals Prediction of daily milk production from the linear body and udder morphometry in Holstein Friesian dairy cows

2020 ◽  
Vol 13 (3) ◽  
pp. 471-477
Author(s):  
Soeharsono Soeharsono ◽  
Sri Mulyati ◽  
Suzanita Utama ◽  
Wurlina Wurlina ◽  
Pudji Srianto ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Body Condition Score ◽  
Experimental Animals ◽  
Holstein Friesian ◽  
Condition Score ◽  
Daily Milk Production ◽  
The Relationship ◽  
Linear Body ◽  
Daily Milk

Aim: This study aimed to develop equations to predict daily milk production (DMP) based on linear body and udder morphometry of Holstein Friesian (HF) dairy cows. Materials and Methods: The experiment was conducted on 174 lactating HF dairy cows reared by farmers at different locations under similar conditions. The age, parity, and body condition score of experimental animals were limited to 0.25 of the standard deviation value above or below the average. The average DMP was based on farmers' records. Morphometry components, i.e., body length (BL); chest circumference (CC); front udder height (FUH), rear udder height (RUH); and udder circumference (UC) were directly measured using a tape; meanwhile, body weight (BW) was estimated using the Indonesia Winter formula. The relationship variables of morphometry components (body and udder morphometry) and BW on DMP were analyzed by regression. Results: The result showed no correlation (p>0.05) between CC and BW on DMP. Meanwhile, DMP obtained linear regression (p<0.05) with the mathematical equation: 1.30+0.11*BL; 13.90+0.41*FUH; 11.02+0.18*RUH; and 3.87+0.16*UC. Conclusion: This study shows that the DMP of dairy cows could be predicted based on their BL and udder morphometry.

The relationship between milk production potential and herbage intake of grazing dairy cows

2003 ◽  
Vol 77 (2) ◽  
pp. 343-354 ◽  
Author(s):  
S.T. Butler ◽  
G.K. Stakelum ◽  
J.J. Murphy ◽  
L. Delaby ◽  
M. Rath ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Dry Matter ◽  
Live Weight ◽  
Experimental Period ◽  
Sward Height ◽  
Herbage Intake ◽  
Holstein Friesian ◽  
Grazing Dairy Cows ◽  
The Relationship

AbstractThe objective of this trial was to examine the daily herbage requirement and grass dry matter intake (DMI) of dairy cows of different levels of milk production with rotational grazing and optimum grazing conditions. The daily herbage allowance (DHA) that was required was defined as the allowance that permitted the herds to graze to a post-grazing sward height (SHA) of 70 mm. Four herds of 15 primiparous Holstein-Friesian cows were assembled with similar characteristics but different milk production potentials. The herds grazed separately and were offered a DHA such that the SHA was 70 mm for all herds. The daily yield per cow, for the 4 weeks prior to the start of the experiment (PMY), was 17·4, 19·8, 21·8 and 24·3 kg milk (s.e.0·20, P < 0·001), 0·72, 0·78, 0·87 and 0·93 kg fat (s.e. 0·021, P < 0·001), 0·59, 0·66, 0·71 and 0·77 kg protein (s.e. 0·009, P < 0·001) for herds 1 to 4, respectively. The experiment began on 30 June and finished on 16 August. The swards offered were 18-day re-growths following a previous defoliation by grazing. Herbage mass pre- and post-grazing was 2143 (s.e.33·3) and 622 (s.e.18·2) kg dry matter (DM) per ha above 40 mm, respectively and were similar for the four herds. The DHA was 21·2, 21·9, 22·9 and 23·9 (s.e. 0·13, P < 0·001) kg DM per cow above 40 mm. Individual cow grass DMI was determined once during the experimental period using the alkane technique. Experimental milk yield (EMY) was 15·1, 17·4, 18·6 and 20·8 (s.e. 0·33, P < 0·001) kg per cow per day. DMI was 14·5, 15·4, 15·5 and 16·1 (s.e. 0·47, P > 0·05). Variations in DMI were best described by the relationship: DMI = 0·85 (s.e. 3·038) + 0·32 (s.e. 0·082) ✕ EMY + 0·012 (s.e. 0·0054) ✕ experimental live weight + 2·10 (s.e. 0·738) ✕ weight gain + 0·020 (s.e. 0·0085) ✕ days in milk (residual s.d. = 1·477 and r = 0·75). EMY was linked to DMI and PMY according to the expression: EMY = –0·64 (s.e. 1·532) + 0·256 (s.e. 0·0865) ✕ DMI + 0·705 (s.e. 0·0620) ✕ PMY (residual s.d. = 1·204 and r = 0·872). It is concluded that higher yielding herds require higher DHA and this is associated with higher DMI of those herds.

scholarly journals Relationship between Cognitive Style and Habits of Mind

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Hayatun Nufus ◽  
Rezi Ariawan
Keyword(s):  
Linear Regression ◽  
Cognitive Style ◽  
Significance Test ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Habits Of Mind ◽  
Linear Regression Equation ◽  
Research Subjects ◽  
Analysis Technique ◽  
The Relationship

This research is a correlational study that examines the relationship between cognitive style and habits of mind. The research subjects involved 4th semester students in the Department of Mathematics Education at the Faculty of Tarbiyah and Teacher Training of UIN Suska Riau which consisted of students with heterogeneous academic abilities. Cognitive style data was collected using the GEFT question instrument with test techniques. Habits of mind data were collected using a questionnaire instrument with a questionnaire distribution technique. The data analysis technique begins with the Pearson Product Moment correlation test which is continued with the significance test and the calculation of the magnitude of the relationship that occurs using the coefficient of determination. Because the data is positively correlated, it continues with determining the linear regression equation. The results showed that there was a significant weak correlation between cognitive style and habits of mind with a relationship score of 6% and a linear regression equation y '= 36.35 + 0.31 x.

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