Decision Support System


Extreme weather events, such as heavy rainfall, high wave, or flooding, can bring severe damage to business activity, decrease profit, and reduce productivity, resulting a critical financial loss. As tropical weather is hard to predict, many business suffer a significant loss due to weather condition. Smart Team offers a solution with a weather decision support system.

Smart Team translates weather forecast, warnings, and information into a decision support system to improve business performance, produce a low cost and reduced risk decision. Smart Team offers a comprehensive forecast with high accuracy, detailed information, and available decisions for various weather conditions.

By utilizing a complex model, our experts analyze the impact of weather condition, like extreme weather, ocean condition, and hydro-meteorological disaster, translating them into a best decisions for your business. Smart Team provide a business analytics specific to the needs of our client. We help various industries, from mining, logistics, shipping, insurance, and more, to optimize production, maximize profits with minimum cost and low risk.


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Utilizing an advanced numerical prediction model, we produce a high resolution and high accuracy daily forecast in Indonesia. Our forecast has been validated with accuracy of 90% and used by many organizations in Indonesia.

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To improve the quality of our forecast and get a real-time weather observation data, we provide a weather observation station in many locations.

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Our long-term focesting is consist of climate forecasting and disaster vulnerability. Using our own patented climate model, a long-term forecast for the next 5 years with interval of 10-days is produced. Long-term forecast could be implemented in long-term planning, development, and decision making.

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A disaster forecast based on hourly weather forecast is developed with an algorithm build specifically for Indonesia in our labolatory. Utilizing machine learning in disaster data analysis, we always keep improving our disaster forecast accuracy based on recent event. With confidence level of 80%, our disaster forecast has been implemented and help to reduce disaster risk and management in Indonesia.

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To achieve higher efficient farming, we applied information system technology in order to help farmers reduce the risk of failure and increase productivity. We utilize our climate model and build a crop calendar for the next 5 years. The system is already applied in few regions and ready to be implemented in any area within Indonesia.

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To optimize efficient fishery catchment, we provide information about ocean condition, weather, and potential fish location. With help from expert in oceanography and and advance numerical ocean model, we combine the dynamic ocean condition from the forecast with fish potential variability to produce a fish potential map in Indonesia.

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In order to optimize renewable energy utilization, Smart Team build a system to achieved efficient energy income based on weather prediction. As weather is an important factor in renewable energy, Smart Team is the right choice to help in energy management.

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