Analysis and ratio of linear function of parameters in fixed effect three level nested design

The aims of this study are first to build the linear model of the fixed effect three level nested design. The model is not full column rank and has a constraint on its parameters; second is to transform the non full column rank model with a constraint into full column rank and unconstraint model by using method of model reduction; and third is to derive statistics for testing various hypotheses by using Generalized Likelihood Ratio (GLR) test and to derive the ratio of linear function of parameters by using Fieller’s Theorem . Based on the full column rank and unconstraint model the analysis to be conducted is : to estimate the parameters, to derive statistics for testing various hypotheses and to derive confidence intervals of the ratio of the linear function of parameters. The estimation of parameters and the statistics for testing some hypotheses are unbiased. Based on the simulation results, it can be shown that the tests are unbiased and in line with the criteria given by Pearson and Please. The simulation results for the (1-α) confidence interval of the ratio of the linear function of parameters tau (τi), beta (βj(i)) and gamma (γk(ij)) are presented for different values of ρ’s and in all cases the values of ρ’s are contained in the 95% confidence intervals

Time series modeling and forecasting of the consumer price index Bandar Lampung

The aims of this study are to find the best Time Series model for forecasting the Consumer Price Index (CPI). To find the best model, first we evaluate the stationary of the data by using time series plot, Autocorrelation Function (ACF), and Unit root Test. Then the Time Series model was found by using ACF and Partial Autocorrelations Function (PACF). The best model was found by using the criteria: Mean Squares Error (MSE), Akaike Information Criteria (AIC) and Bayesian Information Criterion (BIC. Based on this criteria the best modelfound in this paper is ARIMA (1,1,0) compare to ARIMA (0,1,1), and ARIMA(1,1,1)

Markov chains analysis and mechanism of migration in Indonesia in the period 1980-2010

The aims of this study are to find the Markov Chain model for the migration in Indonesia, to find the properties of the transition probability matrices, to find the stationary probability, and to find the behavior of the mechanism of the migration in 1980,1990, 2000, 2010 and the combined data from 1980 to 2010. In the Markov Chain model the states are Sumatra, Jawa, Kalimantan, Sulawesi, and Maluku and Papua and are abbreviated as S, J, K, SL and OI respectively. From the transition probability matrices, the states are communicated to each other and irreducible. From the results of analysis, there are similar stationary probability within the states Jawa, Sulawesi and Maluku and Papua, but slightly change in the Sumatra and Kalimantan. From the stationary probability results it shows that in the long run that the stationary probability of migration enter Sumatra decrease from 0.3895 in 1980 to 0.2720 in 2010. On the other hand, the stationary probability of migration enter Kalimantan increase from 0.0726 in 1980 to 0.1537 in 2010. From the analysis of mechanism of migration in 1980,1990, 2000 and 2010. Jawa becomes the main destination of migration from other islands. The people from Sumatra, if they migrate high probability they will migrate to Jawa. On the other hand, the people from Jawa, if they migrate high probability they will migrate to Sumatra. The people from Kalimantan, if they migrate high probability they will migrate to Jawa or Sulawesi in 1980 and in 2010, but high probability only to Jawa in 1990 and in 2000. The people from Sulawesi, if they migrate high probability they will migrate to Jawa, Kalimantan or Maluku and Papua in 1980 and in 1990, but in 2000 and in 2010, high probability they will migrate to Kalimantan and Maluku and Papua. The people from Maluku and Papua, if they migrate high probability they will migrate to Sulawesi or Jawa

The Influence of Communication and Leadership to The Performance of Employee at Orthopaedic Hospital Prof.Dr.R. Soeharso of Surakarta

The purpose of this study is analysing influence communication on performance, leadership on performance and communication, and leadership on performance of employee at the Orthopaedic Hospital of Prof.Dr.R. Soeharso of Surakarta. This research is quantitative, by taking samples at Prof.DR.R. Soeharso of Orthopaedic at Jl. A. Yani, Pabelan, Kartasura, Surakarta, Central Java, Indonesia, 57162. The study population and sample as many as 664 employees were taken by 70 employees. The technique of collecting data using questionnaires. The data analysis technique used is multiple linear regression analysis. The results obtained showed that Communications positive and significant effect on employee performance at Orthopaedic hospital Prof.Dr.R. Soeharso of Surakarta. Leadership positive and significant effect on employee performance at Orthopaedic hospital Prof.Dr.R. Soeharso of Surakarta. Communication and Leadership positive and significant effect on employee performance at Orthopaedic hospital Prof.Dr.R. Soeharso of Surakarta

Competing risks for reliability analysis using Cox’s model

Purpose – Cox’s model with Weibull distribution and Cox’s with exponential distribution are the most important models in reliability analysis. This paper seeks to show that, with a large sample size based on expectation maximization (EM) algorithm, both models give similar results. Design/methodology/approach – The parameters of the models have been estimated by method of maximum likelihood based on EM algorithm. The objective of this analysis is to fit the modification of Cox’s model with Weibull distribution and Cox’s with exponential distribution, examine its performance and compare their results with Crowder et al. Findings – A simulation study indicates that the parametric Cox’s model with Weibull distribution gives similar results to Cox’s with exponential distribution, especially for a large sample size. Also, the modification of the two models showed better results compared with Crowder et al., especially for the second causes of failure. Originality/value – A modification of the two competing risk models has mostly been applied in failure time data and simulation data. The results of the simulation study indicate that the Weibull and exponential are suitable for Cox’s model as they are easy to use and it can achieve even higher accuracy compared with other distribution models

Adaptive minimum error least significant bit replacement method for steganography using JPG/JPEG and PNG files

ABSTRACT: Nowadays, the security of data transmission is one of the important aspects in digital data transmission. In this era, sending messages via computers or other gadgets are highly used, the attackers can easily intercept the data during transmission process. Therefore, if there is a secret message, then it can be easily seen. One method for sending data without making curiosity is using the steganography where a secret message can be transmitted in such a way so that attackers are not aware of the existence of something in the message. In this research, we built a digital steganography system using Adaptive Minimum Error Least Significant Bit Replacement (AMELSBR) method. We use .jpg file for hiding the message, .png file for the output, .txt for the message. The procedures for applying AMELSBR method are Capacity Evaluation, Minimum Error Replacement and Error Diffusion. The result shows that the AMELSBR method is able to manage for hiding and restoring files without causing excessive distortion (noise) in stego image, and has a possibility of returning most files for image manipulation such as the change of image brightness and contrast for the black and white color dominan. However, the method is resistant to image cutting (crop)

Economic Analysis of Olive Oil Production Costs as Influenced by Farm Size in Syrian Coastal Region

To characterize the olive oil production costs and determine the optimal size of olive oil farm, a total of 130 farmers were interviewed in the region. The obtained data was subjected to regression analysis to formulate a mathematical model suitable for predicting the optimal farm size. Olive oil variable and fixed production costs for the five groups of farm sizes at Lattakia regions were calculated. Descriptive economic analysis indicated that the lowest average cost for producing 1 kg of olive oil was 676.9 SP and the highest one was 917.7SP. Also, the results indicated that the economically efficient farm size was 32.9 Dunum which represents only 29.1% of the current farm sizes in the region, therefore, decision makers should draw the land uses policies in their future plans, so that, to integrate land areas in such a way to approach the border of 32.9 Dunum. Keywords: Optimal farms size, olive oil, economic analyses, variable and fixed production costs.   JEL Classifications: D24, D61, Q1

Experimental design for scientists and engineers

This book is intended as an intermediate text for students in experimental design. The following can benefit from it if they have attended an introductory course in experimental design: •Undergraduate majors and postgraduate students in engineering, biotechnology, psychology, education and agriculture •Medical students •Graduate students who need an overview of the major topics in experimental design •Researchers and practitioners in different fields of study who need a comprehensive reference when conducting their experiment

Design and Development of MOOCs to Develop Civil Apparatus Competence for the Banten Provincial Government Toward Banten Corporate University

Competency development is important for every employee and should be empowered for them. Competency development through training consists of classical training and non-classical training. One form of non-classical training is independent learning and self-development through online learning, such as Massive Open Online Courses (MOOCs). The purpose of this research is to figure out the learning process either before and after the development of MOOCs and to develop an information system for training and independent learning as one feature of LMS Banten Ceria in the form of a Massive Open Online Course (MOOC) as an online learning platform with the principle of independent learning or self-directed learning in order to support the Corporate University program in the Province of Banten. This research has a mixed-methods design that blends qualitative and quantitative methodologies. The 4D Thiagarajan model is used in this study, along with research and development methodologies. The result show that MOOCs are effective in developing the competencies of the civil apparatus in the Province of Banten. The difference in average between the pre-test and post-test scores is 20 points. The learning process after using MOOCs shows improvements in knowledge and competence.  Hence, the system of online learning will support the BPSDMD Banten Provincial Program as it becomes a corporate university. Keywords: Development MOOCs, Design MOOCs, Civil Apparatus Competenc