MODEL TREE LINIER UNTUK EKSTRAPOLASI DATA DEBIT IN FLOW DI WADUK SELOREJO DAN WADUK LAHOR KABUPATEN MALANG
| Main Author: | PERMATASARI, PUSPITA INDAH |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2009
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/9345/1/MODEL_TREE_LINIER_UNTUK_EKSTRAPOLASI_DATA_DEBITINFLOW_DI_WADUK_SELOREJO_DAN_WADUK_LAHORKABUPATEN_MALANG.pdf http://eprints.umm.ac.id/9345/ |
Daftar Isi:
- Forecasting to inflow debit magnitude is important step in compilation of operation pattern of functioning good waterworks for power station of water power ( PLTA) and also for other function. At PLTA mistake of prediction to inflow magnitude which there will be at operating cycle forwards can cause not maximum of function of the building in producing electric power. Simple debit forecasting technique which many applied at the moment is by assuming that river stream debit at period to come would equal to debit measured at this period. The way is proven gives result that is unsatisfying gratifies. Various efforts to improve repair the method has many done between it with applying of stochastic models like Model Markov, Thomas Fiering or other. At most former study and research indicates that the method also has not is optimal because of assessed unsatisfying " applicable" effect in character which teoristic still and its the calculation process enough complicated for each time does forecasting. Along with development of fast such a computer world, method bases on artificial intelligence (Artificial Intelegentia) becomes popular and often becomes choice to finalize forecasting problem. This research is one of effort to give alternative of solution to forecasting problem of debit by next one years by exploiting one of method being based on Artificial Intelegentia (LA), that is Model Tree. Model Tree has been tried to be applied at hydrology area especially for floods scanning, orthogonal transformation of rain data becomes debit data and forecasting of sea-water face ebb with well enough result. In analysing it forming of mathematical model based on by data to train must be done with complicated calculation process and requires old time, but after model is formed [by] forecasting process of debit at period to come can be analysed with interest easy and quickly. Thereby result obtained earns more haves the character of “applicable”, and in the end is expected able to support improvement effort of economic benefit value from the water buildings.