Analysis of The Dynamics Polishing Process Unit at PT. SIPL Through Polishing Process Unit Dynamic Model Simulation by Using Artificial Neural Network (ANN)

Sugiarto, Kusnadi (2020) Analysis of The Dynamics Polishing Process Unit at PT. SIPL Through Polishing Process Unit Dynamic Model Simulation by Using Artificial Neural Network (ANN). Masters thesis, Institut Teknologi Sepuluh Nopember.

[img] Text
02311850017001-Master_Thesis.pdf - Accepted Version
Restricted to Repository staff only

Download (4MB) | Request a copy

Abstract

The objectives of wastewater treatment plant (IPAL) in the industry to reduce waste products / efluent and comply to government regulations, the Oil in Water is below 25 mg / L and the chemical oxygen demand is 200 mg / L. Currently, waste processing is controlled by manually for aeration and phosphate and nitrates nutrients supply to microorganisms. This study to analyze the dynamics of the polishing unit process through a simulation of the dynamic polishing unit process model in the form of a neural network and to create an automatic waste control system. The inputs modeling are OIW and COD influent and the outputs are dissolved oxygen (DO), Mixed Liquor Suspended Solid (MLSS) in aeration and OIW efluent. The model result will be used to automatically control the aerator and nutrients and the incoming influent. Analysis of the dynamics of artificial neural networks polishing unit have similarities to the dynamics of the actual polishing unit process. The error of modeling and training by artificial neural networks obtained MSE DO 0.011, MLSS 0.011 and OIW effluent 0.0063 from MSE target 0.01. The conclusion is the modeling by neural networks for polishing units can be used to describe the real polishing unit. Keywords: Polishing units, dynamics analysis, artificial neural networks

Item Type: Thesis (Masters)
Uncontrolled Keywords: Polishing units, dynamics analysis, artificial neural networks
Subjects: Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science)
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30101-(S2) Master Thesis
Depositing User: kusnadi sugiarto
Date Deposited: 25 Aug 2020 02:08
Last Modified: 01 Sep 2020 03:15
URI: https://repository.its.ac.id/id/eprint/80067

Actions (login required)

View Item View Item