Integrated SCADA-Driven Intelligence for Chemical, Energy & OPEX Efficiency
Transforming water treatment plants from passive monitoring to intelligent, autonomous optimization systems
Significant turbidity variations in intake water require constant manual adjustment of coagulation dosing without accurate calibration or prediction.
Manual NTU prediction without data-driven insights causes 15-25% overdosing of coagulant, increasing chemical costs and effluent quality risks.
Energy usage not optimized for tariff variations (WBP vs LWBP), resulting in electricity costs higher than necessary.
Inability to predict sludge overflow, sediment buildup, or hydraulic problems until they become operational crises.
Decision-making based on reactive responses without real-time data or scenario simulation for OPEX efficiency planning.
Existing SCADA systems capture data but lack intelligence to transform it into actionable optimization recommendations.
Q: "Apa yang sedang terjadi?"
What is happening now?
Q: "Apa yang akan terjadi?" + "Apa yang harus dilakukan?" + "Berapa yang bisa dihemat?"
What will happen? What should be done? How much can be saved?
Real-time KPI display, OPEX simulator, AI insights & alerting for management and operational direction
ML predictive models: Chemical Optimizer, Sedimentation Intelligence, Energy Scheduler, Water Balance & NRW
Automatic ETL, data historian storage, quality validation, and multi-sensor integration
NTU sensors, flow meters, pH sensors, energy meters, level sensors connected to existing SCADA
Key Advantage: Non-intrusive architecture connects to existing SCADA infrastructure without operational disruption. Scalable design for long-term expansion.
Eliminates manual coagulation dosing through predictive ML regression
Expected Benefit: 5-15% Chemical Cost Savings
Eliminates 15-25% overdosing that occurs with manual approaches, achieving precise dosing based on real-time water conditions
Predicts sludge overflow and sediment buildup with early warning system
Optimizes energy consumption based on tariff variations (WBP vs LWBP)
Monitors non-revenue water and identifies leakage patterns
Real-time scenario simulation for operational efficiency planning
Our platform optimizes the complete water treatment process:
Client: PT WIKA Tirta Jaya Jatiluhur
IPA Bekasi & IPA Cibeet Water Treatment Plants
Implementation Approach
Non-intrusive integration with existing SCADA infrastructure. Zero operational disruption during deployment.
Deployment Timeline
Rapid implementation with immediate insights from day one of operation.
Chemical Cost Reduction
Through optimized coagulant dosing
Energy Optimization
Through smart tariff-aware scheduling
Early Warning System
Predicts issues before they become crises
Water treatment plants operate under constant pressure: ensuring water quality, managing costs, and responding to variable raw water conditions. Traditional SCADA systems provide visibility but not intelligence. Our AI-Based WTP Optimization Platform transforms this by automating optimization decisions, reducing costs, improving quality, and enabling operators to focus on strategic challenges rather than routine optimization.
The result is a water treatment plant that operates more efficiently, more reliably, and more cost-effectively—while maintaining the highest quality standards.
Learn how Wiratama's AI-Based WTP Optimization Platform can reduce costs, improve quality, and transform your water treatment plant into an intelligent system.