Article Per Year (5 Year)
p-Index From 2021 - 2026
1.556
P-Index
This Author published in this journals
All Journal Media Ilmiah Teknik Sipil JMTS: Jurnal Mitra Teknik Sipil Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Community Development Journal: Jurnal Pengabdian Masyarakat Equivalent: Jurnal Ilmiah Sosial Teknik
Wati Asriningsih Pranoto
Universitas Tarumanagara
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Model Prediksi Tinggi Muka Air Sungai Menggunakan Jaringan Syaraf Tiruan: River Water Level Prediction Model Using Artificial Neural Networks Agusman Agusman; Slamet Imam Wahyudi; Wati Asriningsih Pranoto
Media Ilmiah Teknik Sipil Vol. 14 No. 1 (2026): Media Ilmiah Teknik Sipil
Publisher : ​Institute for Researches and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/mits.v14i1.11440

Abstract

This study developed a water level prediction model using the integration of Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM). ANN maps nonlinear relationships between hydrological parameters, while LSTM captures temporal dependence patterns in time series data. The comparison results of four models—Linear Regression, ANN, LSTM, and ANN–LSTM hybrid—showed that the neural network-based model provided significantly better prediction performance than the linear model. The Linear Regression model produced the largest error (MSE 0.0175; RMSE 0.128; MAE 0.103; R² 0.785), followed by ANN with a significant increase in accuracy (MSE 0.0114; RMSE 0.101; MAE 0.0549; R² 0.874). LSTM provided better results (MSE 0.0048; RMSE 0.067; MAE 0.0472; R² 0.902), but the best model was the hybrid ANN–LSTM with the lowest error value (MSE 0.00417; RMSE 0.063; MAE 0.0388) and the highest R² (0.937). This combination is able to capture nonlinear patterns and temporal dynamics more optimally, resulting in stable and accurate predictions. In addition, this study shows that the Duflow hydrodynamic model has the potential to be developed as a mitigation simulation tool for water level management, such as testing extreme rainfall scenarios, spatial changes, flood control infrastructure operations, channel optimization, and simulating the impacts of climate change.
Start-Up Phase Performance of a Basic Water Purification System for Urban Surface Water Treatment Endah Lestari; Dede Rohmat; Wati Asriningsih Pranoto; Muhammad Sofyan; Arief Suardi Nur Chairat
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.370

Abstract

Background: The increasing degradation of urban surface water quality due to suspended solids, dissolved metals, and anthropogenic activities has driven the demand for simple, cost-effective, and sustainable water treatment technologies. Methods: This study evaluated a Basic Water Purification System (BWPS) during its start-up phase, examining water quality changes associated with the stabilization of newly installed filtration media. Surface water from a retention pond was treated using a multi-media filtration system consisting of zeolite, silica sand, activated carbon, anthracite, manganese sand, and ion exchange resin across three configurations. Temperature, total dissolved solids (TDS), turbidity, color, pH, nitrate, nitrite, Fe, and Mn concentrations were assessed at three sampling points. Results: TDS, turbidity, color, Fe, and Mn concentrations increased after filtration, resulting in negative removal efficiencies attributable to initial leaching from the newly installed media. However, TDS, Fe, and Mn concentrations consistently declined from the first to the third sampling point, indicating progressive media stabilization. Media 2 demonstrated the most consistent performance, maintaining a near-neutral pH range (6.3–7.2) and the lowest TDS levels, while Media 3 achieved the highest Fe removal efficiency (13.53%). Correlation analysis revealed strong positive relationships between TDS and dissolved metal concentrations, as well as between turbidity and color, confirming that these fluctuations were associated with media conditioning rather than inadequate treatment performance. Conclusion: These findings confirm that the Basic Water Purification System (BWPS) is a promising low-cost, decentralized option for urban surface water treatment, provided that an adequate media conditioning period is implemented before full-scale operation.
Co-Authors Agusman Agusman Alvin Timothy Siregar Aniek Prihatiningsih Arief Suardi Nur Chairat Bryan Jeremia Parulian Harianja Christian Christian Dede Rohmat Edy Wihardjo Endah Lestari Felix Jayanto Fitri Hidayati Jonathan Putra Julian Sulistyo Juni Susanti Banurea Karno Diantoro Muhammad Sofyan Natanael Tadeus Sutanto Reynaldo Reynaldo Slamet Imam Wahyudi