Jakarta, INTI – In an exclusive interview with INTI Media on the sidelines of the INTI Expo 2025, Head of the Data and Information Center of the National Food Agency, Dr. Kelik Budiana, S.Si., M.Kom., IPU, shared his views on the urgency of leveraging artificial intelligence (AI) and data analytics to strengthen national food security. He emphasized that amid commodity price dynamics and potential supply fluctuations, data-driven predictive technology is becoming a critical instrument for the government in ensuring food availability and price affordability for the public. Digital transformation in the food sector is considered crucial to enable faster, more accurate, and evidence-based decision-making, making the national food system more adaptive to market changes.
Utilization of Data Analytics to Control Prices and Supply
Kelik explained that the National Food Agency currently relies on data-based predictive systems to monitor food conditions in real time. This technology is used to analyze price trends and stock availability, allowing the government to intervene quickly and effectively.
“We use data analytics for food prediction systems, such as price and stock forecasting. This helps leadership make accurate decisions in implementing programs,” he stated. This approach ensures that policies are more responsive to fluctuations in market conditions.
AI Integration and Cross-Agency Data Interoperability
Beyond data analytics, the National Food Agency is also advancing the use of AI in national food data management. The process involves aligning and simulating datasets from various ministries and government institutions to develop more precise and integrated analytical models.
“The role of technology, especially AI, is very important, and we are currently building it by simulating data from the National Food Agency’s platforms and other related institutions,” he noted. This initiative aims to create an integrated food data foundation capable of delivering accurate predictions in volatile market situations.
Research Collaboration with Universities
As part of data infrastructure strengthening efforts, the National Food Agency collaborates with public and private universities in developing data-driven food technology. According to Kelik, the collaboration has resulted in a prototype of a food price prediction system considered highly accurate and ready for trial implementation in the near future.
“We are working with several universities to develop data analytics and AI, and we have already obtained a quite accurate price prediction system prototype,” he said. The implementation of this prototype will serve as a foundation for more effective and research-based strategic policy decisions.
Conclusion
The use of data analytics, AI, and research collaboration has become a strategic initiative by the National Food Agency to reinforce Indonesia's food security system. Through predictive technologies for food prices and stocks, the agency aims to ensure that food policies are executed quickly, accurately, and based on verified data. Continued cross-sector data integration and academic partnerships are expected to further support sustainable food resilience efforts in the country
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