Wonogiri reservoir in upstream Bengawan Solo experienced sedimentation problems that endanger its operation. Much of sediments come from Keduang watershed. To overcome this problem, closure dike was constructed to localize the sediment from Keduang watershed. The dike divides the reservoir into main and sediment storage reservoirs, each has its spillway. This paper presents results of the study on Wonogiri Reservoir operation during flood period after dike construction. The study followed a two-step calculation. It updated the design flood by employing rainfall data frequency analysis and Collins unit hydrograph. Flood routing was subsequently done by applying level pool method. Two conditions were considered, namely existing condition whose initial water level was +135.3 meters and new condition whose initial water level was +136.3 meters. The study reveals an increase of the flood discharge to Wonogiri reservoir by 7.7% and 3.6% for the 60 year and 500 year floods, respectively, as compared to the previous study of Pradipta (2014). The study shows that Wonogiri reservoir is prone to overtopping under 500 year flood. It is recommended to lower the control water level of the new spillway.

This study aims to examine the effect of exports, imports and macroeconomic variables on the movement of the stock price index of the agricultural sector listed on the Indonesia Stock Exchange. The sampling technique used was a saturated sample. The research data were secondary data for the 2000-2019 observation period. Data were analyzed using Multiple Linear Regression with SPSS application. Hypothesis testing was carried out by t-test for partial testing and testing the coefficient of determination. The results showed that partially the export variable had a positive and insignificant effect, imports had a positive and insignificant effect, the rupiah exchange rate had an insignificant negative effect, inflation had a non-significant positive effect, and bank interest rates had an insignificant negative effect on the stock price index of the agricultural sector. The ability of the independent variable is only able to explain 50.60% of the stock price of the agricultural sector, the remaining 49.40% is influenced by other variables outside the model. This means that the variables studied in this study are not sufficient to explain the dependent variable, so that potential investors are strongly encouraged to consider other variables before making investment decisions

This study aims to determine the effect of local revenue, general allocation funds, specific allocation funds, and capital expenditures on the human development index in districts and cities in West Nusa Tenggara province. This type of research is classified as associative, where there are four independent variables (local revenue, general allocation funds, special allocation funds and capital expenditures) and one dependent variable, namely the human development index. The population used was local government financial reports consisting of ten districts / cities in a period of seven years from 2013-2019 (total population used was 70). The data used in this research were secondary data. The data analysis used were multiple regression analysis. The results showed that partially the original regional income and general allocation funds had an effect on the human development index, while the special allocation funds and capital expenditures had no effect on the human development index. Simultaneously local revenue, general allocation funds, special allocation funds and capital expenditures affect the human development index.

The short-duration-rainfall monitoring techniques have become important recently due to the high demand for disaster risk miti­gation. Such techniques produce important information on the rainfall intensity during heavy rainfall in the form of snake line. At the same time, use of X-Band Multi-Parameter Radar (XMP Radar) in rainfall monitoring has increased significantly be­cause of its capacity to cover wide area. An assessment on the snake line performance that was developed based on XMP Radar and ground rainfall monitoring instrument (i.e. Automatic Rainfall Recorder or ARR) has been applied to Mt. Merapi area, Java, Indonesia. Selected rainfall data of November-December 2018 were examined. The assessment used a single pixel of radar data at the location of the ARR. The result shows that rainfall data obtained from XMP Radar are lower than those from ARR. The computed snake line obtained from XMP Radar differs from that from ARR data. The XMP Radar underestimates the warning level by about two level out of four.

Generally, the condition of the rivers in Indonesia are alluvial rivers which had meanders, where the change in the river bed topography often occur. One of the parameters associated with changes in the river bed topography is bed-shear velocity, or Reynolds stress. The bed-shear velocity can be calculated by the Reynolds stress distribution method and the Clauser method which commonly used in straight channels. In fact, on natural channel there is a curve and even a meandering channel. With more complex flow conditions, the use of the Clauser method in curved channels can be questioned, is it still accurate or not. In this paper, both methods will be discussed by comparing the measurement data in the laboratory using 180 curved channel with flat bed. The results of data analysis show that the use of these two methods in curved channels produces an average difference of around 19.81%, where the Clauser method gives greater results and better tendencies. Apart from the differences in the results given, it can be said that the Clauser method as well as the Reynolds stress distribution method can still be used to calculate the bed-shear velocity in the curved channel