Abstract

Environmental pollution can be caused by wastewater disposal that is not handled properly, causing damage to groundwater, river and ocean ecosystems. Wastewater contains two types of compounds, namely organic and inorganic compounds. To design a wastewater treatment system, main and crucial step required is identifying pollutants in wastewater. The simplest identification of organic or inorganic molecules is to use spectroscopic techniques by evaluating their absorption spectrum for visible light. In this research, a discrete spectrum-based tool was designed to identify presence of organic and inorganic molecules in wastewater. This tool utilizes a discrete spectrum using 5 wavelengths, resulting in incomplete spectral information. For this reason, this discrete spectrum-based tool is equipped with an Artificial Neural Network (ANN) algorithm with a Feed Forward Neural Network type Backpropagation approach. Performance of this ANN model produces an accuracy value of 70% and RSME 600,098 at epoch 32 for molecular classification and 13 for concentration.

Original languageEnglish
Title of host publication2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages587-592
Number of pages6
ISBN (Electronic)9798350309225
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Lombok, Indonesia
Duration: 14 Nov 202315 Nov 2023

Publication series

Name2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings

Conference

Conference2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Country/TerritoryIndonesia
CityLombok
Period14/11/2315/11/23

Keywords

  • Artificial Neural Networks (ANN)
  • Backpropagation
  • Inorganic Compounds
  • Organic Compounds
  • Spectrometers

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