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UEU » Journal » Magister Ilmu Komputer
Posted by [email protected] at 31/03/2024 17:54:43  •  374 Views


ANALYSIS OF TIME SERIES WATER LEVEL DATA PREDICTION USING DEEP LEARNING METHOD AT THE WATER GATE OF DKI JAKARTA WATER RESOURCES OFFICE

Created by :
Supriyade ( 20200804003 )
Gerry Firmansyah (0305116804) ; Habibullah Akbar (0315108201) ; Budi Tjahjono (0330126703)



SubjectKECERDASAN BUATAN
DATA
PYTHON
Alt. Subject TIME SERIES
ARTIFICIAL INTELLIGENCE
DATA
KeywordPrediction of water level Deep Learning
Long Short Term Memory (LSTM)
Recurrent Neural Network
Date Create:31/03/2024
Type:Text
Format:pdf
Language:English
Identifier:UEU-Journal-11_4719
Collection ID:11_4719


Source :
Jurnal Indonesia Sosial Sains, Vol. 4, No. 09, Agustus 2023, pp: 753-762

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2024 Perpustakaan Universitas Esa Unggul


Publication URL :
https://digilib.esaunggul.ac.id/analysis-of-time-series-water-level-data-prediction-using-deep-learning-method-at-the-water-gate-of-dki-jakarta-water-resources-office-33500.html




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[ Link of Contents]
  1. Jurnal Indonesia Sosial Sains
    https://jiss.publikasiindonesia.id/index.php/jiss/article/view/883/1601

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(LSTM) , Deep , Learning , Long , Long Short Term Memory (LSTM) , Memory , Network , Neural , Prediction , Prediction of water level Deep Learning , Recurrent , Recurrent Neural Network , Short , Term , level , of , water



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