CD Skripsi
Penerapan Fuzzy Logic Dalam Memprediksi Kebutuhan Bahan Bakar Minyak Untuk Persediaan Perbekalan Melaut Di Pelabuhan Perikanan Samudera Bungus
ABSTRACT
Fuel oil is the aspect that is most prepared before going to sea. In
meeting the demand for fluctuating fuel oil demand, prediction is needed, so that
it can predict the supply to meet the required amount. This study aims to predict
the amount of fuel oil inventory each month by using fuzzy logic to meet the
needs of fishing supplies.
The results showed that the prediction of fuel oil had increased
compared to the supply of fuel oil in the previous year. The total supply of fuel oil
in 2019 was 1866 tons, while the prediction of fuel oil inventories for 2020 was
1974 tons. The results of this fuel oil prediction were tested using MAPE (Mean
Absolute Presentage Error) to get the accuracy value. The MAPE value obtained
is 7.68% which is considered accurate and acceptable to determine the prediction
results of fuel oil inventories.
Keywords: Prediction of fuel oil inventory, fishing supplies, fuzzy logic
1) The Student of the Faculty of Fisheries and Marine, Riau University
2) The Lecturer of the Faculty of Fisheries and Marine, Riau University
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