THE PREDICTION OF THE TOTAL PRODUCTION OF SALTED FISH USING A SIMPLE LINEAR REGRESSION METHOD

Abstract

CV. Tirta Tenggiri produces salted fish caught from the sea or local fishermen. The
production is to meet the local and outside demands of the Pohuwato District. Even
though market demand for salted fish is always available, CV. Tirta Tenggiri is
sometimes not able to adjust the production of salted fish with consumer demand. To
obtain the information about the total production of salted fish for better development
of the company in the future, predictions are made by using the simple linear regression
method. The variables used include raw materials and the total demand (X) and land
area as a prediction result (Y). The dataset in this study for the prediction of salted fish
production takes data from 2019 to 2021. The results show that the number of salted
fish to produce in May 2022 obtains a value of y = 168.53 + 24.175. The accuracy with
MAPE is 0.8%. Testing the system by using a white box that has the same value of V(G)
and CC, namely =2.
Keywords: prediction, salted fish production, simple linear regression, White Box and
Black Box Testing