Penentuan Kualitas Bibit Sengon di PT. Mustika Buana Sejahtera Lumajang dengan Metode Fuzzy Mamdani

Abstract

This study aims to determine the quality of sengon seedlings using the Mamdani fuzzy logic method. Input variables include seedling age, number of leaves, stem diameter, and stem height, with the output being a seedling quality classification. Test results indicate that sengon seedlings aged 4–6 months, with 9-15 leaves, a stem diameter of 6-9 mm, and a stem height ranging from 40–100 cm, indicate optimal quality. The system was evaluated using 75 data samples and achieved an accuracy of 94.67%. Of these, 71 samples showed consistency between the Mamdani fuzzy simulation results and the actual data, while 4 samples showed inconsistencies. These findings indicate that the Mamdani fuzzy method can be effectively applied to determine the quality of sengon seedlings with high accuracy.