On July 23, 2025, the Nusantara Knowledge Forum delivered a focused session in Jakarta, led by a keynote speaker and a moderator. The discussion focused on one central theme:
“Leveraging Power Quality Intelligence to Drive Better, Safer, and Resilient Data Center Infrastructure.”
This presentation highlights the importance of “Power Quality Intelligence” in data center operations, which means maximizing the use of data to monitor, analyze, and optimize power quality. The main objective is to promote energy sustainability and decarbonization.
This system is crucial due to the negative impact of power disturbances such as harmonics, voltage drops, and transients on data centers. These disturbances can reduce the efficiency of IT equipment, potentially damage hardware, increase energy consumption (e.g., higher fuel usage for generators), and elevate the risk of costly downtime, which not only causes commercial losses but also damages reputation.
With “Power Quality Intelligence”, data centers can monitor power quality in real time, identify sources of inefficiency, optimize power distribution, avoid downtime, and reduce energy consumption and operating costs. This also supports the concept of “predictive maintenance”, enabling the identification of issues before they become critical, such as identifying which cooling units are operating at 100% capacity or detecting “zombie servers” that are still consuming power without any workload.
The main challenge in its implementation is the high initial cost of making the data center fully intelligent, as well as the need to educate users about its long-term benefits. Although the government supports digitalization, the uneven implementation across regions remains an issue. However, the financial sector in Indonesia has shown strong initiative in adopting smart power monitoring systems.
Overall, “Power Quality Intelligence” is an important step toward energy efficiency, operational stability, and more environmentally friendly practices in data centers, especially given the expected increase in IT capacity usage in the future, driven by technologies like AI.
