Amman Mineral Leverages AI and Experts to Optimize Copper Production

Amman Mineral Internasional is relying on collaboration between artificial intelligence (AI) and the expertise of its professionals to optimize copper production in Indonesia, particularly through the Batu Hijau mining project and the development of a smelter in West Nusa Tenggara, as reported by Investor Daily.

The company estimates production will reach 900,000 metric tons of dry concentrate in 2026, containing approximately 220,000 tons of copper and 579,000 ounces of gold. The newly completed copper smelter is capable of processing up to 900,000 metric tons of concentrate annually, supporting the production of high-quality copper cathodes and other supporting products.

Amman views copper as a strategic mineral whose demand is rising significantly due to the acceleration of electrification, renewable energy, and artificial intelligence technology. Indonesia has proven copper reserves of 21 million tons and is the world’s fifth-largest copper producer.

Amman President Commissioner Agoes Projosasmito explained, “The outlook for the global copper industry remains positive. Key opportunities are being driven by copper’s strategic role in electrification, construction, transportation, renewable energy technologies, and AI-based computing.”

BRIN Deputy for Development Policy Nunung Nuryartono said the competitiveness of the mineral industry depends on the integration of technology, governance, and sustainability. “Downstreaming is not merely about building smelters, but about building intelligence and accountability at every stage of the industrial value chain,” he said.

Nunung added that AI presents opportunities to improve production efficiency and data-driven decision-making, but this must be balanced with good governance to ensure that the environment and public trust are not compromised.

Amman has developed an AI system called Artificial Intelligence Dashboard Automation (AIDA), which helps optimize mineral processing at the plant. The system uses historical and real-time data to provide recommendations for more efficient processes and improve mineral recovery rates.

Amman President Director Arief Widyawan Sidarto said, “The company applies AI to optimize recovery rates in the flotation process. AI drives greater efficiency by improving metal output relative to mining and processing costs.” He added that the improvement supports more sustainable resource utilization.

AIDA does not replace humans but instead strengthens decision-making through collaboration between AI and operational expertise. “Every four hours, the operations and metallurgy teams jointly review AIDA’s recommendations to determine process adjustments,” Arief said.

Amman Vice President of Corporate Communications Kartika Octaviana said, “The success lies in the synergy between data, innovation, and the expertise of our team. When technology and human experience work hand in hand, we are able to make better decisions and create greater value.”

Amman has increased mineral recovery by around 2.5% through AI-based optimization, a significant achievement for the Batu Hijau operation, which already has best-in-class recovery rates.

Didit, a member of Amman’s metallurgy team, also helped develop the Controlled Potential Sulfidisation (CPS) innovation using an Oxidation Reduction Potential (ORP) sensor to address declining copper recovery from stockpile ore caused by oxidation. The innovation successfully increased copper recovery significantly while reducing chemical consumption by up to 18.3%.

The success of the innovation was presented at the MetPlant 2026 metallurgy conference in Adelaide, Australia, which serves as a forum for the exchange of best practices in mineral processing.

Didit said, “A positive work culture and support from leadership were key to the development of this innovation. This is proof that local talent from West Sumbawa can produce technical work recognized globally.”

Source: https://achmadnurhidayat.id/amman-mineral-manfaatkan-ai-produksi-tembaga#goog_rewarded

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