Fuzzy logic to predict Pb content in ex tin-mined pond in Bangka regency

Abstract

The presence of Pb is one of the constraint to utilize ex tin-mined ponds for various purposes. Information about Pb content in ex tin-mined ponds is useful for determining the kind of utilization and ponds development. This research was conducted to provide an alternative way of predicting Pb content in ex tin-mined ponds through generating a prediction model using fuzzy logic with mamdani inference. Two fuzzy input variables, namely pH and turbidity, and one output variable namely Pb content were gained from measurement of water samples from eighteen ponds in Bangka regency. Sampling technique used was purposive sampling at three kinds of ponds i.e young, medium, and old ponds. These three variables were defined respectively at three fuzzy sets i.e. low, medium, and high. From eighteen data testing, sixteeen prediction shown true values. This imply that fuzzy prediction model provide a high degree of accuracy, namely 88.9%.