Prof Yandra Arkeman: Population Trend Predictions with Artificial Intelligence Will Be Faster and Accurate

Prof Yandra Arkeman, Professor of IPB University said that population predictions with artificial intelligence (AI) can help predict population trends more quickly and accurately. Accurate population predictions are essential for resource planning, infrastructure and public policy. For this reason, population is one of the key factors in national development planning.

“The advantages of using AI in population prediction will certainly have higher accuracy, the ability to process large amounts of data faster, and be more flexible in adapting to changes in data,” he explained in the ‘Expert Discussion on Development of Population-Insighted Development Policy’ with the Directorate of Integrated Population Policy, National Population and Family Planning Agency (BKKBN), some time ago.

The prediction of population trends with AI is considered capable of being a reference for more appropriate policy interventions. With the use of machine learning, the population prediction system will produce more output. Compared to the old method, using multiple variables is somewhat more difficult to do.

“The way artificial intelligence works in predicting population is in the process of taking historical population data, training models based on historical data and predicting future population trends based on existing data,” said Prof Yandra.

Blockchain, Robotic and Artificial Intelligence Networks (BRAIN) IPB University previously used a dynamic system using AI to predict palm biodiesel supply chain policies. Prof Yandra hopes that this method can also be applied to population trends.

“The challenge is that AI modeling is very dependent on the quality of the input data. Understanding and interpretation of results is also complex. Its use also requires adequate human resources and infrastructure,” he said. (MW/Rz) (IAAS/YMK)