MODEL TREE NON LINIER UNTUK EKSTRAPOLASI DATA DEBIT IN FLOW DI WADUK LAHOR DAN WADUK SELOREJO KABUPATEN
| Main Author: | APRILIANTO, EKO NUGROHO |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2009
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/854/1/MODEL_TREE_NON_LINIER_UNTUK_EKSTRAPOLASI_DATA_DEBITINFLOW_DI_WADUK_LAHOR_DAN_WADUK_SELOREJO_KABUPATEN.pdf http://eprints.umm.ac.id/854/ |
| ctrlnum |
854 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://eprints.umm.ac.id/854/</relation><title>MODEL TREE NON LINIER UNTUK EKSTRAPOLASI DATA DEBIT IN FLOW DI WADUK LAHOR DAN WADUK SELOREJO KABUPATEN</title><creator>APRILIANTO, EKO NUGROHO</creator><subject>TA Engineering (General). Civil engineering (General)</subject><description>Forecasting towards the amound of inflow debit is an important step in operation pattern whose function is for electric power supply (PLTA) and other function. In PLTA error mistake towards the amount of inflow debit that will happen to the forward operational cycle mightaffact the buildingfuction in producing electricity isn’t maximum. Simple forecesting technique that’s applied nowadays is considering that the river;s flow debit for the next period will result the some as the debit which is measured in this period. Many efforts have been done to improve the technique. For instance applying stokastik model for technique such as Markov Model, Thomas Fiering’s and many others. Most of previous studyes and researches show that the methods are
not optimal yet because they are less applicable due to it’s theooritic impact and the accountig proses is complicated everytime the forecesting is conducted. This research is a way to give alternative solution for debit forecasting problem for the next year by using one of models based on “Artificial Intelegentia”, that is Tree Model. Terr Model has been applied in hydrology especially for flood track, rain flow data transformed to debit data tidal waves forecesting with satistying results. In analyzing arrange mathmatical model based on training data must be done in complicated accountings and take long time, however after the model fixed debit forecesting prosess for the next period can and faster. It maskes the result are more “ Applicable” and in the end it’s expected to support the improvement of economical value of the allredy existed buildings.</description><date>2009</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/854/1/MODEL_TREE_NON_LINIER_UNTUK_EKSTRAPOLASI_DATA_DEBITINFLOW_DI_WADUK_LAHOR_DAN_WADUK_SELOREJO_KABUPATEN.pdf</identifier><identifier> APRILIANTO, EKO NUGROHO (2009) MODEL TREE NON LINIER UNTUK EKSTRAPOLASI DATA DEBIT IN FLOW DI WADUK LAHOR DAN WADUK SELOREJO KABUPATEN. Other thesis, University of Muhammadiyah Malang. </identifier><recordID>854</recordID></dc>
|
| language |
eng |
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
| author |
APRILIANTO, EKO NUGROHO |
| title |
MODEL TREE NON LINIER UNTUK EKSTRAPOLASI DATA DEBIT IN FLOW DI WADUK LAHOR DAN WADUK SELOREJO KABUPATEN |
| publishDate |
2009 |
| topic |
TA Engineering (General). Civil engineering (General) |
| url |
http://eprints.umm.ac.id/854/1/MODEL_TREE_NON_LINIER_UNTUK_EKSTRAPOLASI_DATA_DEBITINFLOW_DI_WADUK_LAHOR_DAN_WADUK_SELOREJO_KABUPATEN.pdf http://eprints.umm.ac.id/854/ |
| contents |
Forecasting towards the amound of inflow debit is an important step in operation pattern whose function is for electric power supply (PLTA) and other function. In PLTA error mistake towards the amount of inflow debit that will happen to the forward operational cycle mightaffact the buildingfuction in producing electricity isn’t maximum. Simple forecesting technique that’s applied nowadays is considering that the river;s flow debit for the next period will result the some as the debit which is measured in this period. Many efforts have been done to improve the technique. For instance applying stokastik model for technique such as Markov Model, Thomas Fiering’s and many others. Most of previous studyes and researches show that the methods are
not optimal yet because they are less applicable due to it’s theooritic impact and the accountig proses is complicated everytime the forecesting is conducted. This research is a way to give alternative solution for debit forecasting problem for the next year by using one of models based on “Artificial Intelegentia”, that is Tree Model. Terr Model has been applied in hydrology especially for flood track, rain flow data transformed to debit data tidal waves forecesting with satistying results. In analyzing arrange mathmatical model based on training data must be done in complicated accountings and take long time, however after the model fixed debit forecesting prosess for the next period can and faster. It maskes the result are more “ Applicable” and in the end it’s expected to support the improvement of economical value of the allredy existed buildings. |
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Universitas Muhammadiyah Malang |
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2017-03-21T02:38:30Z |
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