scholarly journals PREDICTING THE GROWTH CURVE OF BODY WEIGHT IN MALEO BIRDS (MACROCEPHALON MALEO)

2021 ◽  
Vol 4 (2) ◽  
pp. 59-63
Author(s):  
Widya Pintaka Bayu Putra
Keyword(s):  
Body Weight ◽  
Linear Regression ◽  
Growth Curve ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Literature Study ◽  
Non Linear ◽  
The One

Maleo bird (Macrocephalon maleo) is the one of protected bird’s species and originated from Sulawesi island of Indonesia. This study was carried out to obtain the growth curve of body weight (BW) in mixed-sex Maleo birds from hatching to yearling ages. The growth curve in this study was calculated with non-linear regression of Logistic (L) and Gompertz (G) models using CurveExprt 1.4. computer program. The primary data in this study was cited from previous study through a literature study. Research showed that the asymptotic weight (A) in birds was 1825.34 g (L) and 3429.23 g (G). The weight of inflection (Wi) in studied birds were 912.67 g (L) and 1260.75 g (G). The time of inflection (ti) in birds was 8.51 months (L) and 11.00 months (G). The maximum growth rate in birds was 159.72 g/month (L) and 151.29 g/month (G). The coefficient of determination (R2) in both models included of very high category (0.80<R2<1.00) but the lower of standard error (SE) value showed in L model. It can be concluded that the non-linear regression of Logistic model can be used as BW predictors in mixed-sex Maleo birds.

scholarly journals Growth curve of Repartida goats reared in the Caatinga region, Brazil

2017 ◽  
Vol 38 (2) ◽  
pp. 1041 ◽  
Author(s):  
Luanna Chácara Pires ◽  
Théa Mírian Medeiros Machado ◽  
Paulo Luiz Souza Carneiro ◽  
João Batista Lopes da Silva ◽  
Andréa Duarte de Holanda Barbosa ◽  
...  
Keyword(s):  
Growth Rate ◽  
Body Weight ◽  
Growth Curve ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Lower Probability ◽  
High Birth Weight ◽  
Average Growth ◽  
Nutritional Deficit ◽  
Weight Data

This work aimed to determine which non-linear model (Brody, Gompertz, logistic, von Bertalanffy or Richards) best represents the average growth curve of goats, in addition to evaluating the effect of the environment. The weight data of 40 Repartida goats reared in the Brazil Caatinga were included in this study. Weight data was collected every 30 days from birth until 270 days of age. The parameters of the models (A, mature body weight; B, constant of integration; k, maturation rate; m, inflection point) were estimated using the NLIN procedure of SAS. The logistic model showed a slightly higher average fit in comparison to the other models. The absolute growth rate suggests that the maximum growth rate was reached early. The effect of the contemporary groups was significant (P < 0.05), but only for the estimated k parameter. The estimated correlation between the A and k parameters was significant and negative, indicating a lower probability of a high body weight in adulthood. Goats of the Repartida ecotype are characterized by their high birth weight and low weight at maturity, which combined with the nutritional deficit, suggests that these animals have adapted to the adverse conditions of the Brazilian Caatinga region.

PENGARUH MOTIVASI KERJA, KOMPETENSI, DAN KOMPENSASI TERHADAP KINERJA KARYAWAN RUMAH SAKIT UMUM DAERAH (RSUD) KABUPATEN KEPULAUAN MENTAWAI

2020 ◽  
Author(s):  
Syofrinal
Keyword(s):  
Linear Regression ◽  
Work Motivation ◽  
Regression Coefficient ◽  
Employee Performance ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Reliability Test ◽  
Mentawai Islands ◽  
Regression Test ◽  
Analytical Tools

The purpose of this study is to test the Influence of Work Motivation, Competence, and Compensation Against Performance Employees Regional General Hospital (RSUD) Mentawai Islands District. This study is a census. The data used are primary data by taking sample of 79 (seventy nine) respondents. This research uses analytical tools such as validity, reliability test, multiple linear regression test, t test, F test and coefficient of determination (R2). The results of this study illustrate that all variables have an effect on employee performance except the compensation variable. The results can be described by the equation Y = 12.752 + 0.248X1 + 0.396X2 + 0.051 X3, where X1 = Work Motivation, X2 = Competence, and X3 = Compensation. This means that the constant of 12.752 states that factors other than the variables X1, X2, and X3 that affect employee performance of 12,752. Work Motivation coefficient of 0.248 states that if the variable X1 added one unit will add the effect of employee performance of 0.248 with the assumption that the competence and compensation variables are constant. The regression coefficient X2 of 0.396 is that if the variable X2 increases one unit will increase the employee performance by 0.396 with the assumption that the variable of work motivation and compensation is constant. Furthermore, with X3 regression coefficient of 0.051. This means that with other factors considered constant, the effect of compensation is less than that of work motivation and competence.

scholarly journals Non-Linear Regression Models with Vibration Amplitude Optimization Algorithms in a Microturbine

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 130
Author(s):  
Omar Rodríguez-Abreo ◽  
Juvenal Rodríguez-Reséndiz ◽  
L. A. Montoya-Santiyanes ◽  
José Manuel Álvarez-Alvarado
Keyword(s):  
Linear Regression ◽  
Vibration Amplitude ◽  
Regression Models ◽  
Engineering Problem ◽  
Coefficient Of Determination ◽  
Model Parameters ◽  
Gray Wolf ◽  
Linear Regression Models ◽  
Machinery Condition Monitoring ◽  
Non Linear

Machinery condition monitoring and failure analysis is an engineering problem to pay attention to among all those being studied. Excessive vibration in a rotating system can damage the system and cannot be ignored. One option to prevent vibrations in a system is through preparation for them with a model. The accuracy of the model depends mainly on the type of model and the fitting that is attained. The non-linear model parameters can be complex to fit. Therefore, artificial intelligence is an option for performing this tuning. Within evolutionary computation, there are many optimization and tuning algorithms, the best known being genetic algorithms, but they contain many specific parameters. That is why algorithms such as the gray wolf optimizer (GWO) are alternatives for this tuning. There is a small number of mechanical applications in which the GWO algorithm has been implemented. Therefore, the GWO algorithm was used to fit non-linear regression models for vibration amplitude measurements in the radial direction in relation to the rotational frequency in a gas microturbine without considering temperature effects. RMSE and R2 were used as evaluation criteria. The results showed good agreement concerning the statistical analysis. The 2nd and 4th-order models, and the Gaussian and sinusoidal models, improved the fit. All models evaluated predicted the data with a high coefficient of determination (85–93%); the RMSE was between 0.19 and 0.22 for the worst proposed model. The proposed methodology can be used to optimize the estimated models with statistical tools.

scholarly journals Application of Non-linear Growth Curve Models to Body Weight in Egg-type Chicken.

1995 ◽  
Vol 32 (6) ◽  
pp. 394-401 ◽  
Author(s):  
Shunzo MIYOSHI ◽  
Mitsuyoshi SUZUKI ◽  
Takatsugu MITSUMOTO
Keyword(s):  
Body Weight ◽  
Growth Curve ◽  
Linear Growth ◽  
Growth Curve Models ◽  
Non Linear ◽  
Linear Growth Curve

scholarly journals EFISIENSI PENGGUNAAN FAKTOR PRODUKSI PADA USAHA TANI JAMUR TIRAM (Pleurotus ostreatus Jacq.)

2020 ◽  
Vol 6 (1) ◽  
pp. 309
Author(s):  
Dedi Sufyadi ◽  
Cancan Gunawan Apidianur
Keyword(s):  
Phase I ◽  
Pleurotus Ostreatus ◽  
Secondary Data ◽  
Oyster Mushroom ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Literature Study ◽  
Mushroom Production ◽  
Production Factors ◽  
Descriptive Approach

This study aims to determine the factors of production that affect oyster mushroom farming and analyze the level of efficiency of the use of production factors on oyster mushroom farming in UPT Agriculture Area Sukaraja. The method used in this research is survey with explorative descriptive approach. The data used are primary data secondary data obtained through interviews, questionnaires and literature study. The results analsis show a total coefficient value of 2.143. This value indicates the scale of oyster mushroom production is in phase I or increasing return to scale (IRS). The value of the coefficient of determination (R2) is 92.3 percent means that 92.3 percent of oyster mushroom production can be explained by variable use of production factors, while the remaining 7.7 percent is influenced by other variables besides the use of production factors not included in the model. The use of production factors that significantly influence the variation of oyster mushroom production are land and sawdust. While seeds, bran labor polybag, lime, paralon ring, rubbe and paper have no significant effect.

scholarly journals Corporate Social Responsibility dan Profitabilitas dalam Mempengaruhi Praktik Penghindaran Pajak pada PT. Bank Rakyat Indonesia (Persero)

2020 ◽  
Vol 5 (02) ◽  
pp. 203-213
Author(s):  
Suci Wahyuliza ◽  
Yudhi Rahmansyah
Keyword(s):  
Corporate Social Responsibility ◽  
Linear Regression ◽  
Social Responsibility ◽  
Multiple Linear Regression ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Tax Avoidance ◽  
Coefficient Of Determination ◽  
Literature Study ◽  
Corporate Social

This study aims to determine the effect of Corporate Social Responsibility and company profitability on tax avoidance practices at PT. Bank Rakyat Indonesia (Persero). The approach taken in this research is a quantitative descriptive approach. Data collection techniques in this study are to use documentation techniques and literature study. Meanwhile, the analysis technique used is multiple linear regression, classical assumption test, hypothesis test (t test, f test) and the coefficient of determination. Based on multiple linear regression analysis, Tax Avoidance Practices are obtained of 0.669, which means that if CSR and Profitability do not exist or are equal to zero, then Tax Avoidance Practices are 0.225. Partially, CSR (X1) and Profitability (X2) have a significant effect on Tax Avoidance Practices (Y). Simultaneously, CSR (X1) and Profitability (X2) together have a significant effect on Tax Avoidance Practices (Y).                                  

scholarly journals Pengaruh Motivasi dan Lingkungan Kerja terhadap Kepuasan Kerja di UKM Nahla Toys Cikampek

2021 ◽  
Vol 5 (1) ◽  
pp. 31-38
Author(s):  
Firman Hidayat ◽  
Maman Suryaman ◽  
Risma Fitriani ◽  
Billy Nugraha
Keyword(s):  
Job Satisfaction ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Work Environment ◽  
Work Motivation ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Environment Variables ◽  
Program Software

This study contained two variables, namely X1 as Work Motivation and X2 as the Work Environment. This study aims to determine the influence of motivation and work environment on job satisfaction in SMEs Nahla Toys Cikampek.  The Data used is primary data collected through observation, interview, distributing questionnaires and documentation. The hypothesis in this research is the influence of motivation and work environment on job satisfaction in SMEs Nahla Toys Cikampek. To measure the magnitude of influence of these variables using multiple linear regression and the help of the program software IBM SPSS 25. Based on the results of the data analysis, obtained value of the coefficient of determination amounted to 5.05%. In addition to the value of the correlation coefficient amounted to 0.711. While the results of partial test (t test) indicated that work environment variables have a significant effect on job satisfaction. It is obtained that the results of t count bigger than t table. Then based on these results it can be concluded that the work environment influence the job satisfaction of employees in SMES Nahla Toys Cikampek.

scholarly journals Pengaruh Disiplin Kerja Terhadap Kinerja Karyawan pada PT. PLN Area Singkawang

2015 ◽  
Vol 10 (2) ◽  
pp. 352
Author(s):  
Uray Suryadi
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Regression Coefficient ◽  
Secondary Data ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Weak Correlation ◽  
Labor Discipline ◽  
A Value ◽  
Descriptive Method

The purpose of this study was to determine the effect on the performance of work discipline employees of PT. PLN Singkawang area. Methods using descriptive method with data collection consists of primary data include interviews, questionnaires, and observations and secondary data by studying the documentation. Saturated samples used in this study, so that the number of respondents is 144 people. The analysis is correlation and linear regression. The results of this study indicate that the correlation between the two is a weak correlation, based on the analysis of regression equation y = 3.284 to 0.004, which means if there is no increase in the value of labor discipline, then the value of the performance of employees is 3,284. Regression coefficient of -0.004 states that any decrease in the value of labor discipline the employee's performance is also decreased, by t test obtained t count equal to -1.176. From the above data obtained t = -1.176 while the results obtained for 1,656 ttabel (df = n-2 = 144-2 = 142). So the result that t < ttable or -1.176 <1.656 which means that the discipline of work does not affect significantly the performance of employees of PT. PLN Singkawang area and by coefficient of determination obtained a value of 0.10, meaning that the performance (Y) is influenced by 10% by the discipline of work, while the rest (100% -10% = 90%) is explained by other factors, and because of the small number of that means having a weak correlation between the two variables.

scholarly journals ANALISIS PENGARUH PENGANGGURAN DAN INFLASI TERHADAP KEMISKINAN DI SUMATERA UTARA TAHUN 2009-2017

2020 ◽  
pp. 202-208
Author(s):  
Vania Grace Sianturi
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Research Method ◽  
Quantitative Research ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Analysis Technique

This study aims to provide empirical evidence of the influence of unemployment and inflation for poverty. The type of data used in this study is primary data with quantitative research method using multiple linear regression analysis technique and test hypotheses processed with Eviews 10. The result of data analysis showed that unemployment and inflation has a significant impact on the poverty. Seen from coefficient of determination that unemployment and inflation for poverty affect 63.95%, while the remaining 36.05% influenced by the others thay not included in this research.

The Impact Of E-Service Quality To Wards Customre Satisfaction On The User Of Internet Banking In PT. Bank Rakyat Indonesia Tbk (Persero)

2021 ◽  
Vol 2 (4) ◽  
pp. 1415-1422
Author(s):  
Deni Ardiansyah ◽  
Lies Handrijaningsih
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Internet Banking ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Banking Service ◽  
Electronic Service ◽  
The Impact

This research aims to analyze the impact of electronic service quality which consists of efficiency, fulfillment, reliability, privacy, responsiveness, contact, and compensation towards the customer satisfaction on the user of internet banking in PT Bank Rakyat Indonesia, Persero. Customer satisfaction is an urgent matter in banking and is one of the company duty to create that satisfaction out of every single service provided. The sample used in this research are respondents which are customers who use internet banking service from BRI. The data used in this research is primary data collected by conducting online questionnaires to 150 respondents. Analyzing technique used is validity, reliability, classical assumption, multiple linear regression, t, F, and the coefficient of determination test. The result shows that simultaneously, electronic service quality which consists of efficiency, fulfillment, reliability, privacy, responsiveness, contact, and compensation do have an impact towards customer satisfaction on the user of internet banking service of BRI. The finding on partial test shows that efficiency, fulfillment, contact and compensation has an impact towards customer satisfaction whereas reliability, privacy, and responsiveness do not.  

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