| dc.description.abstract | PT Tri Dominitama is a company engaged in the field of expedition services. In its business
processes, the company always ensures that customer requests for the number of containers
are met. However, at one time the demand for the number of containers increased, making it
difficult for the company to handle it. With that, the need for forecasting that can be done to
predict how many container requests in the future. The purpose of this study was to determine
the appropriate forecasting method and the results of the demand forecasting error using the
time series method. Solving this problem is done using the time series method which consists
of exponential smoothing, quadratic and linear regression as well as for data processing
techniques using Microsoft Excel. The results obtained from the selection of the best method is
the quadratic method with the results of the Sum Square Error (SSE) value of 2255464,1, the
Mean Square Error (MSE) value of 250607.12 and the Mean Error (ME) of -435.4082. Based
on the 3 forecasting methods, it is known that the forecast value of the demand for the number
of containers for the next 3 months, namely October, November, December 2022 is 1011 units,
1110 units, and 1209 units. | en_US |
