ANALISIS PERAMALAN PENJUALAN MENGGUNAKAN METODE LEAST SQUARE PADA PT. ASTRA INTERNASIONAL DAIHATSU CABANG MARTADINATA MANADO

Abstract

Companies need to set sales targets as a basis for future production planning and marketing strategies. These targets can be determined through forecasting based on historical data that reflects previous sales trends. This study aims to determine how sales forecasting is carried out using the least squares method at an automotive company engaged in the sale of four-wheeled vehicles. The type of research used is a case study with a quantitative descriptive approach. Data collection techniques were carried out through direct interviews, field observations, and documentation of sales reports for a certain period. The data obtained were then analyzed using the least squares method to determine sales trends and predict sales volume for the following period. The results show that the least squares method is able to provide sales prediction results that are close to actual figures. Predicted sales of a certain type of car in May 2025 showed a result of sixty-two units, while actual sales reached seventy-two units. Meanwhile, for other types of cars, the prediction result was twenty-three units and the actual figure showed twenty-one units. This relatively small difference in prediction results indicates that the least squares method has a good level of accuracy and can be used as a reference in sales planning. Thus, this method is suitable for use as an aid in supporting managerial decision-making in the future.