Despite Routine Floods, The Control System In Jakarta Smart City Even Wins Again In International Events

JAKARTA - The DKI Jakarta Provincial Government's Flood Control System in the Jakarta Smart City application won first place at the 2022 IDC Smart City Asia/Pacific Awards international event.

Winning the champion in this control system is the second time after winning the 2022 WSIS Prizes event some time ago.

This time, Jakarta Smart City managed to come out as the best innovation for Public Safety — Next-Generation Emergency Services through the Flood Control System.

At the IDC Smart City Asia/Pacific Awards 2022, the Jakarta Smart City Flood Control System outperformed innovations from other countries, such as China, Taiwan, Australia, to the Philippines.

The head of the Jakarta Smart City BLUD, Yudhistira Nugraha, said that this flood control system was developed after a major flood occurred in early 2020.

"This system was built to improve the flood control system that was previously manual into a science-based management system to support data-based decision making and information dissemination quickly and accurately to the public. The development of this system is also supported through scientific studies that we conducted," said Yudhistira in caption, Friday, June 10

Yudhistira stated that the Flood Control System was created through careful thought and research related to flood management and mitigation. The Flood Control System is one of the implementations of the smart city concept that is present as an effort to make data-based policies to detect areas that are potentially inundated with water.

This system, he continued, collects historical data and knowledge, as well as performs predictive analysis to help improve the government's ability to detect disasters, speed up response times through the use of the system, as well as real-time monitoring.

"This system uses artificial intelligence capabilities found in IoT (Internet of Things) devices to attract and process large amounts of data and machine learning to increase accuracy in models," he explained.

Furthermore, this system is also equipped with sensors at 178 location points as well as weather data to get a real-time picture of the situation and conditions to predict where flooding will occur. This system can also provide input for danger signs, warnings, and recommendations in decision making.

"In other words, this innovation not only speeds up the response, but also makes the flood control process more efficient and effective. Through the Flood Control System, Water Resources Service (DSDA) officers no longer need to manually input monitoring data," he added.