New Year’s Eve Crisis Mitigation: Turning “Social Listening” into an Early Warning System

NoLimit Indonesia– In the midst of the government’s policy of eliminating fireworks displays as a form of empathy for the disaster in Sumatra, Jakarta is still predicted to become a sea of ​​people. The main focus of security authorities is now no longer just physical patrols, but how to monitor the digital “heartbeat” of the city through Social Media Monitoring and data analytics to prevent crowd tragedies and total gridlock.

From Fireworks to Drones & Video Mapping

The DKI Jakarta Provincial Government has determined 8 main points of celebration, with the HI Roundabout as the center. Although fireworks are prohibited, attendance is a show buzz And video mapping actually has the potential to create very dense static gathering points.

Latest Field Situation Data:

• Car Free Night (CFN): Closure of 33 main roads (including Sudirman-Thamrin) from 18.00 WIB to 02.00 WIB.

• Security Personnel: A total of 2,300 joint personnel (TNI, Polri, Satpol PP, Dishub) were specially alerted in the main corridor.

• Public Sentiment: Monitoring shows that netizens support the no fireworks policy, but others express concern about crowds building up in alternative entertainment areas.

Social Listening: Digital Eyes in the Crowd

In the data era, every netizen upload on X (Twitter), Instagram, or TikTok is censorship for the government. Social Listening no longer just a marketing tool, but a vital component Early Warning System (EWS).

How Data Analytics Works Tonight:

• Cluster Analysis & Hotspot Mapping: Analytical algorithms map upload frequency based on geolocation. If at the “Dukuh Atas” point there is a spike in uploads with the keywords “shortness of breath”, “severe traffic jams”, or “can’t walk”, the system will give a red notification to Command Center.

• Real-Time Sentiment Analysis: If sentiment on social media changes from “happy” to “angry” or “panic” in a short period of time, the tactical team in the field will immediately carry out traffic diversion or crowd control before a physical incident occurs.

Data-Based Mitigation Strategy at 8 Main Points

Based on monitoring data, points such as Banteng Square, Sarinah and FX Sudirman are predicted to experience a sudden increase in crowds after 21.00 WIB.

Monitoring Point	Data Risk	Data-Driven Mitigation Actions
HI Roundabout	Overcapacity (Drone Show)	Diversion of crowds to the Grand Indonesia/Plaza Indonesia parking lot based on CCTV AI data.
Dukuh Atas	Transportation Meeting Point (LRT/MRT)	Adjustment progress car based on surge mention queue on social media.
SCBD area	Illegal Parking & Secondary Congestion	Cyber ​​patrols monitor residents’ reports about road access blocked by illegal parking.

Hoaxes and Information Speed

One of the biggest risks in monitoring New Year’s Eve is the spread of hoaxes (for example: rumors of illegal fireworks or fake riots). Data analytics helps do that fact checking quickly by comparing social media reports with CCTV visuals on Jakarta Smart City.

New Year’s Eve 2026 proves that modern city management no longer just relies on posses, but also data flows. By closely monitoring the digital narrative, Jakarta is trying to ensure that the “simple and reflective” celebration still ends “safely and conducively”.