Analisis Peramalan Permintaan Pada Depot Air Minum Isi Ulang Menggunakan Metode Least Square

Abstrak

This community service was chosen because predictive forecasting is very important to improve the efficiency and sustainability of the drinking water depot business. The least Square method was chosen for prediction because it can make accurate forecasts based on previous data and external variables that affect sales. Service actors, drinking water depot owners, and the local community work together to carry out this service. The results of this contribution show that the Square method can help drinking water depot owners optimize inventory, improve operating efficiency, and respond quickly to changes in demand. The results of this service also show how important it is to use proper forecasting predictions in drinking water depot management. Depot owners can optimize their business strategies and provide better community services with the Square method.