Implementasi Metode Regresi Trend Parabola Dalam Memprediksi Penjualan Perlengkapan Kantor Pada CV. Mandiri Jaya Mulia Berbasis Web

Abstract

CV. Mandiri Jaya Mulia is an office supplies company that faces challenges in managing stock and predicting future sales. Uncertainty in predictions causes problems such as stock shortages for products with high demand, excess stock for products that are less in demand, and disruptions to the company's operational efficiency. This study aims to develop an accurate prediction model using the Parabolic Trend Regression method, which is able to analyze historical sales data and find relevant patterns for future estimates. With this method, companies can optimize stock management, reduce the risk of loss, and increase customer satisfaction through the availability of products that meet their needs. The results of the study indicate that the application of the Parabolic Trend Regression method provides more accurate sales predictions than conventional approaches, thus supporting effective strategic decision making. This study is expected to provide benefits for companies in improving operational efficiency, for customers in service satisfaction, and for the development of science in the application of data-based prediction techniques