The purpose of this research is to obtain an overview of the leadership style, motivation, discipline, and performance of employees in the Office of Public Works and people's housing of Jambi province; And to know the influence of leadership styles on motivation, work discipline and performance; And to know the influence of leadership styles through motivation and work discipline toward performance. The population in this study was the Office of Public Works and people's housing of Jambi province, amounting to 286 employees. The size or number of samples in this study was determined based on the theory that Slovin developed with a margin error of 5% obtained as many as 75 people. Analytical techniques using the analysis path, are transmitted by testing R Square and partial and simultaneous hypothesis testing with T-Test and F-Test. Testing path of analysis carried out, obtained the results of the leadership style has an influence on the motivation, work discipline and performance of employees, motivation and work discipline also has an influence on both the performance and Simultaneously, and the leadership style has an influence on performance through motivation and work discipline. This explains that if an organization has a leader with a leadership style that is appropriate for its employees, this will affect the motivation, work discipline, and performance of its employees. Because the right leadership style has a very dominant role in determining the success of an organization, the right leadership style will be able to direct its employees to work optimally in achieving organizational objectives.

The research aims to prove the difference in stock performance of LQ 45 stock group companies in the Indonesia Stock Exchange period 2010 – 2018 based on the models Sharpe, Treynor, Jensen and Sortino, and to get a group of stocks that have the most performance well based on the four models. In this research the samples used were the LQ 45 stock group in the Indonesia Stock Exchange from 2010 – 2018 which always emerged as the LQ 45 index counter of as many as 21 issuers, which provided complete data from financial statements, not including banking stocks because it has different financial statements, does not do stock split and does not have a negative book equity. This form of research is an explolanatoris research. The results showed that based on the value of figures with Sharpe model in the range-15.92764 to the maximum range of 25.85580. For model number values with model Treynor in the range-0.22986 to the maximum range of 0.37314. The value of the Jensen model number in the range-0.08787 to the maximum range is 0.33096., while the number value with the Sortino model at the range-5.86684 to the maximum range of 9.52381. Based on the measurement of the performance of groups with the Sharpe model has a minimal performance score with Z-score-2.88024 which occurred in July of 2013., while the maximum performance score with Z-score 4.36889 happened in August of 2018.  The Treynor model has a minimal performance score with Z-score – 2.88024 that occurred in July of 2013., while the maximum performance score with Z-score 4.36889 occurred in August of 2018. On the Jensen model had a minimal performance score with Z-score-1.99550 which occurred in July of 2013., while the maximum performance score with Z-score 7.30738 occurred in August of 2018. On the Sortino model had a minimal performance score with Z-score-2.88024 which took place in July of 2013., while the maximum performance score with Z-score 4.36889 occurred in August of 2018. The results of the test with Kruskal Wallish test on the four models acquired χ2 = 4.267, with a probability of 0.118. Then it can be known that the probability of testing > 0.05 and χ2 count < χ2 table 5.32. These results showed that there was no significant difference between testing with models of Sharpe, Treynor, Jensen and Sortino. Thus the nil hypothesis (H0) In this study was received. Another test by comparing the calculation of the stock group performance calculations as a continuation of the Kruskal Wallish test was obtained there is no meaningful difference between each treatment by looking at the difference to the four mean rank , which demonstrates consistency in the interdistinction between the four measurements.

Tax areas as one of the components of the Original Local Revenue (PAD) which is given by the local Government to residents who stay in their jurisdiction without obtaining the consideration from the local governments that collect taxes area. Tanjung Jabung Barat District is one of the strategic areas and it has a potential of natural resources which is relatively large. The strategies and policies of financial development in Tanjung Jabung Barat is directed at the improvement of the effectiveness as well as the effectiveness of regional finance. One of the strategies is through the optimization of local tax receipts as a source of Original Local Revenue (PAD). This research aimed at investigating the magnitude of the potential and the local tax capacity in Tanjung Jabung Barat District of 2018. This research also intended to know the implementation of tax effort which has been attempted in Tanjung Jabung Barat District. Last, this research aimed at knowing the extent to which the original revenue dependency area toward the acceptance of tax areas in Tanjung Jabung Barat District.The data were collected through survey and direct observation to the research subject through the coordination with related agencies. In data analysis method, Diagrams Cartesius, Regression approach to Tax Business, Estimation and Elasticity Tax Formulas, analysis of Overlay and analysis of Potential local tax were used. The results of this research are expected to give input to the Government of Tanjung Jabung Barat in arranging the strategies and policies in optimizing the Local Tax Revenue.

The title of this research is The Effect Of Local Government Revenue And General Allocation Funds On Regional Independence And Their Impact On Economic Growth In District/City In Jambi Province 2010-2019. This study aims to identify and analyze; First, the direct and indirect influence of Local Government Revenue (PAD) and General Allocation Funds (DAU) on Regional Independence. The second objective is the direct and indirect influence of Local Government Revenue (PAD) and General Allocation Funds (DAU) on economic growth. The third objective is the influence of regional independence on economic growth. The fourth objective is the influence of Local Government Revenue and General Allocation Funds on Economic Growth through Regional Self-reliance in Regencies/Cities in Jambi Province 2010-2019. This study uses a census, all districts/cities are used as samples, the research period is 2010-2019. The analytical tool used is path analysis. The data sources are from the Central Statistics Agency (BPS) and the Directorate General of Financial Balance. The data is taken from the realization of the Regional Revenue and Expenditure Budget (APBD) and economic growth from the Gross Regional Domestic Product (GRDP) at constant prices. The results of the study show that Regional Original Income (PAD) has a positive and significant effect on regional independence, the General Allocation Fund (DAU) has a negative and significant effect on Regional Independence. Local Government Revenue (PAD) has no significant effect on Economic Growth. The General Allocation Fund (DAU) has a significant and negative effect on the economic growth of districts/cities in Jambi Province in 2010-2019. Regional Independence has no significant effect on Regency/City Economic Growth in Jambi Province in 2010-2019. Local Government Revenue (PAD) and General Allocation Funds (DAU) through regional independence have no effect on Economic Growth in regencies/cities in Jambi Province in 2010-2019

Investors, multinational companies and governments require a rate forecasting to make informed decisions about the hedging of debts and receivables, funding and short-term investments, capital budgeting and long-term financing. The process of making forecasting from market indicators, known as market-based forecasting, is usually developed based on spot rates and forward rates. The current spot rate can be used as forecasting, as the exchange rate reflects the market estimate of the spot rate in a short period of time. The forward rate is used in forecasting, as the exchange rate reflects the market estimate of the spot rate at the end of the forecasting period. Based on the research conducted by Chiang (1986) of the samples used, empirical evidence indicates spot rates and forward rates are significant as predictors of future spots. Empirical evidence suggests that spot rates provide better forecasting results compared to forward rates. The research uses regression models for market-based forecasting methods. The variables used in this study are spot rates, forward rates and future spots. The samples used are from Bank Indonesia for spot rates in January – March 2019 and future spot in April – June 2019, and from Jakarta Futures exchange for forward rates in January – March 2019. The Stochastic and Chow Test models are selected and their use has been evaluated using quality and precise testing measures. Based on the sample period used, empirical evidence suggests that spot rates and forward rates are significant in predicting future spots for EUR, JPY and AUD currencies. Current spot rates provide better forecasting results in predicting Future spot compared to the forward rate. Both the 15Ft">  and 15St">  coefficient are sensitive to new information from the variation of the coefficient and time, it can increase the forecasting of the equation to each currency exchange rate used. The study states that variables from time series should be effectively utilized and utilized in predicting currency exchange rates, as this research demonstrates the absence of dependence on time series Can be concluded that foreign exchange rates in each country follow a pattern that is not stationary. The spot Euro exchange rate turns out to be statistically more accurate with an error rate of 0.004144% forecasting with the value of regression coefficient of Euro exchange rate is a Future Spot = 21.504,88 – 0.341229Spot + 15et+1"> .