This study aims to determine and analyze the effect of the inflation rate, exchange rate, SBI interest rate and Sharia stock trading volume on the performance of Sharia stocks in companies listed on the Indonesian Sharia Stock Index. In this study, a research model was created using Sharia stock performance as the dependent variable. While the independent variables are the inflation rate, exchange rate, certificate of Bank Indonesia (SBI) interest rate and Sharia stock trading volume. The research method used is quantitative research method with multiple regression models using panel data. The research object employs Sharia stocks from companies that are in the Indonesian Sharia Stock Index (ISSI), namely Sharia stocks that are listed on the stock exchange, active, and meet the requirements of the Capital Market in Indonesia during the period January 2014 to December 2018. The object of this research includes all 392 companies using purposive sampling technique. Further, the samples used are 278 companies that meet the requirements. Based on the results, it shows that the inflation rate has no effect on the performance of Sharia stocks. Next, the exchange rate and the SBI interest rate have a significant negative effect on the performance of Sharia stocks, while the trading volume of Sharia stocks has no effect on the performance of Sharia stocks.

This research investigates the relation between research and development (R&D) expenditure and the industrial concentration in the Indonesian manufacturing industry. Pooled least square dummy variable is applied to estimate the relation between the two variables. This research uses firm-level data taken from the survey of the manufacturing industry sourced from the Indonesian Bureau of Central Statistics. This research makes contributions in calculating the percentage of R&D expenditure using the recent data and freshly estimating the relation between R&D and industrial concentration in the industry. This research finds that the percentage of R&D expenditure is relatively low in the industry. There is also a declining trend in the percentage of the R&D expenditure from the period 1994–1995 to 2017. The higher industrial concentration increases the percentage of R&D expenditure. This research also finds that R&D expenditure can be higher in the firms with market power.

This paper aims to investigate the effect of railway development on the Indonesia national economy with Input-Output analysis. The data used in this study are Input-Output data from 2000 to 2010. Input-Output data analysis generates contribution, value added, intermediate input, final input, linkage and multiple impacts of a railway to other modes of transportation and national economy. The result of Input-Output data analysis concludes that the railway has forward and backward linkage to various sub-sectors, therefore it can become a superior sub-sector to increase national economic growth. The research results find out that if there is a development or investment in the railway subsector of IDR. 1 billion, this, will, therefore, give impact to: (a) the amount of economic output will increase into IDR 1.633767 billion; (b) the income of the society members will become IDR. 362,507 million; (c) will upgrade the employment opportunities into 9.556 people. Accordingly, there is a need to modify the government budget (APBN) that will focus primarily on developing railway transportation, both in goods and passenger vehicles.

This study aims to: determine the effectiveness of the use of physical test results processing software for martial art adolescents in the match category. This type of research uses the quasi-experiment method. The sampling method uses purposive sampling. The effectiveness test involved 6 trainers and 88 martial art athletes. Data analysis for validity and reliability of physical test instruments using the Pearson correlation calculation, while the effectiveness test of the use of software using paired sample t-test, operated through SPSS 16. Tests were declared valid and reliable with p <0.05. The effectiveness of the instrument seen from the percentage of the coach’s assessment in the good and very good category. While the use of software was declared effective with p <0.05.

Background: Indonesia consumes oil as the main energy source in the production process and as a result of the development of the manufacturing industry. Thus, investment in manufacturing stocks will be affected by oil price fluctuations and macroeconomic conditions. Changes in oil prices will affect the performance of the manufacturing sector which in turn affects manufacturing stock prices. This paper aims to examine the impact of Indonesia's oil price shocks and macroeconomic factors on stock price movements in the manufacturing sector. Methods: This study uses monthly data for the 2009-2016 period in the manufacturing sector, and 67 stocks were selected on the basis consistently available in the period of the research. The cointegration and causality technique was used in this paper; firstly we applied a unit-panel root test, Secondly, we performed a residual test to indicate whether there was cointegration among variables in the long run equilibrium, and short the short run, we used a Granger causality test. Results: The panel unit root test (both Shin and Fisher) and the Pedroni cointegration residual test show that the data is stationary at 1%  level of significance, thus all variables simultaneously achieve long-run equilibrium, and in the short run, the Granger causality test shows that there is one way direction causality Conclusions: For long-term investment in manufacturing stocks, investors must consider the exchange rate, as it is also as a determining factor in influencing the movement of manufacturing stock prices, inflation, and the production index. Meanwhile, weakening of the rupiah in the short run will also determine investment conditions due to the dependency on raw materials for production from foreign sources. The price of oil as an energy source in the manufacturing sector does not have a long-term relationship with other variables.