Aryadi, Aryadi (2021) MODEL TANGKI DENGAN KALIBRASI OTOMATIS BERBASIS DIFFERENTIAL EVOLUTION ALGORITHM UNTUK TRANSFORMASI DATA HUJAN MENJADI DATA DEBIT SUNGAI. Undergraduate (S1) thesis, Universitas Muhammadiyah Malang.

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Abstract
One of the classic problems in water resources engineering is the limited number (length) of discharge data series. If a sufficient amount of data is available in a watershed in terms of quantity and quality, the analysis to find the design benchmark becomes easy and accurate. The tank model based on differential evolution is used to obtain optimal parameters. By using the tank model and entering secondary data including rainfall data, climatology, inflow discharge, and watershed systems that occur in the soil will be known using the observed parameters. Rainfall, climatology and watershed data are used to calculate the discharge data that enters the soil and becomes river discharge data. Then the inflow discharge data was analyzed for the past 10 years to compare the discharge that entered the river with the inflow discharge that occurred. From the results of calculations obtained optimal results by looking at the running assessment resulting in root mean squared error (RMSE) training value of 0.18207 and for testing of 0.3511 in this condition the smaller the value of root mean squared error (RMSE) that occurs then the data of observation discharge and debit model that occurs will be more close. While NashSutcliffe Coeficient (Ns) training of 0.70942 and for testing of 0.65132 there is a limit that is reviewed closer to 1 Ns value makes the model output will be more accurate because in perfect situations with an error estimation variance equal to zero, the efficiency of NashSutcliffe produced is equal to one.
Item Type:  Thesis (Undergraduate (S1)) 

Student ID:  201710340311138 
Thesis Advisors:  Sulianto ( 0711096702 ), Azhar Adi Darmawan ( 0720018304 ) 
Keywords:  Tank Model, Evolutionary Differential Algorithm, Lahor Reservoir, Rainfall, Transformation. 
Subjects:  Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QC Physics Q Science > QE Geology T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering T Technology > TD Environmental technology. Sanitary engineering 
Divisions:  Faculty of Engineering > Department of Civil Engineering (22201) 
Depositing User:  201710340311138 aryadi 
Date Deposited:  02 Dec 2021 03:34 
Last Modified:  02 Dec 2021 03:34 
URI :  http://eprints.umm.ac.id/id/eprint/81932 
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