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Journal : Jurnal Teknik Informatika (JUTIF)

Prediction of Turbidity Removal Time in Electrocoagulation Wastewater Using Random Forest, XGBoost, and Others: A Data-Driven Information System Approach Suakanto, Sinung; See, Tan Lian; Shaffiei, Zatul Alwani; Firdaus, Taufiq Maulana; Lubis, Muharman; Bayuwindra, Anggera
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4847

Abstract

Electrocoagulation is an effective and environmentally friendly technology for treating wastewater by removing contaminants such as turbidity, heavy metals, and organic compounds. Accurately predicting turbidity removal time is essential for optimizing treatment performance and operational efficiency. However, this is challenging due to complex, nonlinear relationships between multiple parameters including current, voltage, electrode configuration, conductivity, and turbidity removal rate. This study aims to develop a predictive framework by comparing six supervised regression models, namely Linear Regression, Polynomial Regression, Random Forest, Support Vector Regression (SVR), XGBoost, and Long Short-Term Memory (LSTM), using key electrocoagulation parameters. After extensive data preprocessing, a dataset of 281 samples was used for training and validation. Among them, Random Forest achieved the best performance (R² = 0.876, RMSE = 601.15). A data-driven information system is proposed to integrate these predictive capabilities for real-time monitoring and control. By improving turbidity prediction accuracy, the system enables the sustainable utilization of water as a valuable asset, even in its wastewater form. The approach enhances decision-making by providing intelligent feedback for process optimization. This research contributes to the advancement of intelligent, sustainable wastewater treatment systems by integrating machine learning prediction models with practical process control applications in informatics.
Co-Authors A. TAUPIK RAHMAN A., Simon Filippus Abdulaziz, Rifqi Abdulaziz Adillah, Muhammad Fauzan Nur Adyartama, Arya Putra Agustien, Ferry Ahmad Musnansyah Alaric Rasendriya Aniko Albert, Vincentius Alfi Zahra Hafizhah Amanah, Raisyah Nurul Andreas Andreas Angela, Dina Anis Farihan Mat Raffei Anis Farihan Mat Raffei Anisa, Gia Annastasia, Syifa Aprilita Firsty Hazdia Arifudin, Nanang Bagastio, Shobrun Jamil Bayuwindra, Anggera Christy, Aldi Cristian Richardo Anin Daniel Hadi Wijaya Dila, Revyolla Ananta Dina Angela Echo, Ruth Edi Nuryatno Edi Triono Nuryatno Ekky Novriza Alam Evan Reswara Fa'rifah, Riska Yanu Fahrizky, Bimo Agung Faishal Mufied Al Anshary Faqih Hamami Fauzi, Rokhman Febriyani, Widia Ferda Ernawan Firdaus, Taufiq Maulana Gamaliel, Yoyok Yusman Hadiningrum, Tiara Rahmania Handoko, Mahardika Maulana Al Mahdi Hardiyanti, Margareta Hazdia, Aprilita Firsty Herry Imanta Sitepu Herry Sitepu Herry Sitepu Hutagalung, Maclaurin Hutahaean, Bernad Robinson Ismail, Mohd Arfian Isnaeni, Rizqullah Maziyah Krisna Dwi Permana Mahardika Maulana Al Mahdi Handoko Margareta Hardiyanti Mat Raffei, Anis Farihan Mifta Ardianti Muhammad Fahmi Hidayat Muhammad Ivan Fadilah Muharman Lubis Mulyati, Rika Munansyah, Ahmad Nia Ambarsari Nugroho, Tunggul Nugroho, Tunggul Arief Nur Ichsan Utama Nuraliza, Hilda Nuryanto, Edi Parameswari, Sang Dara Priyadi, Djoko Rachmadita Andreswari Rafi Adinegoro Raharjo, Adi Rahmat Fauzi Raina, Apriani Nur Ramadhan, Yumna Zahran Randy Ferdiawan Rivero Novelino Roberd Saragih S. Suhardi Safara Cathasa Riverinda Rijadi Satria , Ryan Muhammad Sebastian, Kelvin See, Tan Lian Seno Adi Putra Shaffiei, Zatul Alwani Siregar, Amril Mutoi Suhono H. Supangkat Sulingallo, Irwansa Ryan Syfa Nur Lathifah Thaha, Taufik Kemal Tien Fabrianti Kusumasari Tjong Wan Sen Ulinuha, Zulfa Ventje Jeremias Lewi Engel Widyadhari, Dinda Putri Widyatasya Agustika Nurtrisha Wijaksana, Syifa Nuurunnisa Wijaya, Yohanes Rico Yoyok Gamaliel Zulkarnaen, Rizky Zaki