Potential Regional Forecasting System for New Students at STIKOM UYELINDO Kupang

Abstract

Universities in Indonesia, especially in the East Nusa Tenggara region, face great challenges in attracting new prospective students amid increasingly fierce competition. For this reason, effective and innovative marketing strategies are needed to increase attractiveness and strengthen the competitive position of universities. One approach that can be implemented is the utilization of information technology in a digital-based new student admission system. A data-driven approach that relies on historical data analysis has also proven to be very effective in identifying targeted marketing potential. In this context, STIKOM Uyelindo Kupang can utilize data-driven forecasting methods, such as Simple Moving Average and Weighted Moving Average, to project areas with a focus on high schools and vocational schools that have the potential to generate new students at STIKOM Uyelindo Kupang. This method allows the college to focus resources on more potential areas and optimize its promotional activities. This research aims to develop a forecasting system for potential new student areas using the Simple Moving Average and Weighted Moving Average methods, which can provide more accurate information in designing data-based marketing strategies. Thus, it is that STIKOM Uyelindo Kupang can increase the number of new students, strengthen its position in the higher education market, and adapt to technological developments in supporting a more effective and efficient recruitment strategy.