Case Study: How a Private University in Bandung Streamlined Enrollment with AI

A private university in Bandung with 12,000 students and annual new enrollment of around 2,500 faced a logistical ordeal every enrollment season. Applications came with an average of eight supporting documents each. Processing them manually required 20 temporary additional staff. Backlogs stretched three weeks, communications were delayed, and data errors required a dedicated annual correction process.

The university deployed AI enrollment automation with a digital submission portal. Documents were processed automatically, validated in real time, and routed to the admissions committee with all data pre-populated. Accepted applicants' information flowed directly into the student information system without re-entry. PDDikti reporting was generated automatically from the same data.

Results in the first enrollment season: applications processed 65 percent faster with zero temporary hires. Data correction rates dropped from 8 percent to under 1 percent. Applicants received decisions 12 days sooner on average — improving the university's ability to secure high-quality candidates holding multiple offers.

Encouraged, the university expanded its AI program to cover course registration, scholarship processing, and graduation document management — turning a seasonal project into a permanent platform.