Process dynamics modeling of H2S removal plant at Pt. Saka Indonesia Pangkah limited based on artificial neural network

Dwi Nur Fitriyanah, Totok Soehartanto*, Yanuar Kusuma

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In modeling the H2S removal plant, Artificial Neural Network (ANN) was used because the sour gas composition input in the plant was unknown, so modeling using chemical reactions was not possible. Feed-forward architecture with the Levenberg - Marquardt training algorithm is used in designing a dynamic model of the plant process, with the number of hidden layers 1. In the input layer, there are five nodes to find out the dynamics of the plant, namely sour gas flow rate, sour gas temperature, amine rate, amine temperature, and the pressure difference between sour gas and amine inputs. While at the output layer, there is one output node, namely ppm H2S on sweet gas. Trial and error methods are used in determining the best model by using a variation of the number of hidden nodes 1-10 in the hidden layer. The parameter used is the smallest RMSE value generated by the ANN model. The simulation is carried out, the best ANN model is obtained, with a 4-7-1 structure. The resulting RMSE value on the structure is 0.4947, with an RMSE value of 0.4947 indicating that the model has an error percentage of 9.95%.

Original languageEnglish
Title of host publicationEngineering Physics International Conference 2021, EPIC 2021
EditorsAyodya Pradhipta Tenggara, Nur Abdillah Siddiq, Sita Gandes Pinasti, Rizki Insyani, Jundika Candra Kurnia, Geetali Saha, Rasool Moradi-Dastjerdi
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735444843
Publication statusPublished - 22 May 2023
Event3rd Engineering Physics International Conference, EPIC 2021 - Yogyakarta, Virtual, Indonesia
Duration: 24 Aug 202125 Aug 2021

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


Conference3rd Engineering Physics International Conference, EPIC 2021
CityYogyakarta, Virtual


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