AP II Exploration Of The Utilization Of Artificial Intelligence Technology At Airports

JAKARTA - PT Angkasa Pura II launched the Digital Collaboration: Sky Horizon 2023 program on Thursday, September 7 as an effort to explore the use of artificial intelligence (AI) technology in the service, operational and commercial aspects of airports.

The program with the theme "Shared Vision and Collaborating to Create Artificial Intelligence Based Airport Ecosystem" encourages collaboration between AP II and various parties such as communities, practitioners, corporations and startups.

AP II President Director Muhammad Awaluddin said Sky Horizon 2023 is part of the Digital Exploration (DX) program.

Project Sky Horizon 2023 is part of DX as our effort to implement digitization in every aspect of the airport. Sky Horizon 2023 encourages collaboration with various parties, prioritizes resources sharing to share risks and benefits, and equates AP II's vision regarding the application of AI at airports," Awaluddin said as quoted by ANTARA, Friday, September 8.

Sky Horizon 2023 is divided into several phases of activity, starting from registration by participants who opened last Thursday followed by curation, validation, incubation, development/development of solutions, to the beta/alpha version demonstration at the end of November.

He considered that currently the use of AI in the national airport sector could not be avoided.

AP II is the airport operator in Indonesia who was first included in the discussion on the use of AI for air transportation, especially airports. In the early stages of utilizing AI at this airport, AP II encourages collaboration and resource sharing," said Awaluddin.

EGM Soekarno-Hatta Airport Dwi Ananda said the use of AI could increase operating standards, facilities, services, and commercial at airports.

"For example, the use of AI can increase flight traffic and make the flow of airplane passengers at airport terminals more effective and efficient. Likewise with facilities, although currently there are various technologies, through AI we want facilities to be more efficient and optimal in terms of maintenance, energy use, and as well as providing services more personally," said Dwi.

Meanwhile, for the commercial aspect, said Dwi, the use of AI can provide more specific services for customers, for example providing retail according to customer wishes.

"With AI, we can analyze effectively to all aspects, without the need for more effort to sort data, copy data, and process data," he continued.

In the operational aspect of the airport, AI can also increase the optimization of the use of slot time (availability of departure and arrival flight times) at Soekarno-Hatta Airport, which is the largest airport in Indonesia with a slot time capacity of 1,300 per day.

"If we can take advantage of AI advanced analysis in this analysis, the results can be faster with a high level of accuracy so that we can quickly support us in taking optimal policies such as the distribution of flight time periods, accommodating demand, and supporting flight effectiveness," said Dwi.

Dwi added that the use of AI also helps improve services for airplane passengers.

"AI advanced analytics can support AP II in conducting passenger sentiment analysis, where we can accurately find out what actually services, facilities and retail are needed by airplane passengers while at the airport. This can encourage us to create more personalization services and not services for all," he concluded.

Meanwhile, the President of the Collaboration of Research and Innovation of Hammam's Artificial Intelligence (Korika) industry, Riza, supports AP II's efforts to utilize AI at airports.

According to Riza, in realizing the use of AI at airports, it cannot be achieved only by the operators of therapeutic airports, it requires collaboration with various parties. KORIKA together with stakeholders are ready to build value creation, especially for AP II in achieving the future airport ecosystem, collaborating by building a future airport with AI," said Riza.