The Impact Of Work Stress, Financial Compensation and Non-Financial Compensation on Employee Employment at A Contruction Company In Pekanbaru

This research was done at the Construction Company in Pekanbaru. The aim of this study is to find out the impact of work stress, financial compensation and non-financial compensation on employee job satisfaction at the Construction Company in Pekanbaru. The sample in this study is an employee of the Construction Company in Pekanbaru of 35 people using saturated sampling or census techniques. To analyze the data in this study use quantitative descriptive techniques using double linear regression. Research findings show that work stress, financial compensation and non-financial compensation have a partial impact on employee job satisfaction. At the same time or simultaneously, work stress, financial compensation and non-financial compensation have a significant impact on employee employment satisfaction at the New Construction Company with known F counts of (35,566) ≥ Ftable (2,91) with a significant 0,000 ≤ 0,05, and a determination coefficient (R Square) value of 0,775 equals 77,5% which means that the work stress variables, economic compensation, and nonfinancy compensation affect employee job satisfaction of 77,5%.

Link to System L2s Interfacting for Advanced Receiver Strategies

The size and complexity of wireless communication networks have grown tremendously over the last few decades. Analysis of a wireless communication system requires computer simulations of the entire communication network, spanning multiple cells with a large number of base stations and mobile terminals. This normally involves complex physical layer computations in order to evaluate the receiver performance with the transmitted signals subjected to interference, multipath propagation, and shadowing. Link to system (L2S) interfacing reduces the computational complexity associated with the physical layer performance evaluation of multiple communication links by predicting the receiver behavior under different channel conditions using precalculated lookup tables (LUTs). This thesis investigates the L2S interfacing for different advanced receiver strategies using various nonlinear mapping functions. Different transmission scenarios such as single input single output, single input multiple output, and multiple input multiple output are considered. Besides using the conventional AWGN channel performance as the reference LUT, the mean of different channel frame error performance is also suggested as reference and the prediction accuracy of both have been compared. L2S framework has been implemented using the post detection signal to noise ratio (SNR) values as the received signal quality measure. The existing L2S work for SISO, linear MIMO systems has been extended to iterative and maximum likelihood receivers, where finding an accurate estimate of the received signal quality which is highly correlated to the receiver output is an open problem and needs to be fully explored. Algorithms for the post detection SNR value estimation for iterative and maximum likelihood receivers have been proposed and their prediction performance is validated for diverse communication channels. It is shown that, the post detection SNR value is an accurate measure of the quality of the received signal. However, for MIMO system with single stream encoding, the accurate estimation of the post detection SNR value for each individual link is not essential, but rather an accurate average value over multiple links is found to be sufficient.