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Weir Third is one of the dams in Kuningan West Java. Dam Third, located on Jl. New East Ring Road, Tonjong Hamlet, Sangkanmulya Village, District Cigandamekar, Regency Kuningan. The distance from the city of Brass is not enough, more than 13 km towards the north and less than 24 km from Cirebon city to the south direction. Dam Third irrigates an area of ± 1,010 Ha, covering two districts: Regency Kuningan 348 Ha and Cirebon Regency 662 Ha. Buildings are mainly third in the form of channel parent and channel secondary. Research objectives This analyzes mark performance based on condition damage, knowing performance moment this, get weight component Channels and Buildings Weir Third. The author uses primary data and secondary data. Primary data is obtained from field observations, while secondary data is from UPTD SUP Kalijaga - Cisanggarung. The methods used in the research Are qualitative nature, descriptive - and inductive. Research results show that the percentage performance component Channels and Structures on Dams Third based on conditions and functions, namely, Channel Primary and Secondary Weir Third with a percentage condition good 15%, condition medium 50%, condition damaged 34%, so the average condition channel Primary and Secondary Weir Third in Moderately Damaged Condition. The condition of the building on Dam Third is good at 7%, moderate condition at 85%, and damaged at 9%, so Weir Third's average condition is good. The result of the analysis calculation of rainfall rain and comparison of discharge needs with the debit of irrigation area availability shows that the debit availability river is bigger than the debit requirement, with thus water needs in irrigation areas being third in all-sufficient. [ABSTRACT FROM AUTHOR]

This study aimed to analyze drought conditions and evaluate irrigation water availability and household water needs in the Krueng Jrue sub-watershed, Aceh Province, Indonesia. The Z-score statistics method was developed to analyze the drought, and the Mock model was used to generate discharges. We performed model validation using linear regression, which produced a coefficient of determination (R2 D 0.90**) and coefficient of regression (r D 0.95**). In general, this area had a normal Z-score for precipitation (ZSP) class with 90 events (75%) and a normal Z-score for a discharge (ZSD) class with 89 events (74.2%). There were 0-11 (0-9.2%) moderate wet, very wet, extreme wet, moderate drought, and severe drought events. The consistency between the ZSP and ZSD indices reached 85.8%, indicating consensus between the meteorological droughts that were analyzed based on rainfall (ZSP) and hydrological droughts analyzed based on water discharge (ZSD). ZSP and ZSD indices showed negative values during the dry season (April to September) and positive values during the rainy season (October to March). There was a surplus of water availability for irrigation and household water needs during the rainy season and a deficit during the dry season. However, water deficits also occurred in certain months during the rainy rendeng planting season, for example, in October 2009, 2013, 2016, and 2017 as well as in February between 2008 to 2011 and from 2014 to 2017. This observation was probably due to the influence of global climate variables that need to be substantiated. This study offers necessary information for farmers, the community, and the local government when anticipating drought phenomenon, organizing the rice planting season, and evaluating water availability in other watersheds. [ABSTRACT FROM AUTHOR]