SOSIALISASI APLIKASI PREDIKSI PREFERENSI PROGRAM STUDI BAGI CALON PENDAFTAR DI UNIVERSITAS SJAKHJAKIRTI
Abstrak
Utilization of data into something useful value is the impact of the industrial revolution 4.0. Sjakhjakirti University has a New Student Admissions (PMB) division where there is a variety and a lot of PMB data that is not optimized properly. The proposed activity is how to use PMB data to become an application for predicting study program preferences for applicants, which in the end provides an overview of the strategies that the PMB division needs to carry out. The stages in this activity include initial workshops, data collection, field analysis, system development, making socialization materials and training modules, and evaluating activities. The final result shows an increase in partner knowledge of 81%.