PREDIKSI KETERSEDIAAN BERAS DI MASYARAKAT DENGAN MENGGUNAKAN LOGIKA FUZZY DAN JARINGAN SYARAF TIRUAN DALAM UPAYA MENINGKATKAN KETAHANAN PANGAN
ABSTRACT: Development to
predicted Handling availability of food stocks need to be done, one by
combining model predictions using fuzzy logic and artificial neural network or
more in the know with ANFIS (Adaptive Neuro Fuzzy Inference System). Predicted
availability of the study aimed to obtain the status of availability of rice in
the community by using fuzzy logic and artificial neural network, which later
can provide food security in the region. Artificial neural network and fuzzy
logic can be used in building an intelligence system to predict the value of
the availability of rice in the community. This can be seen from the results of
research in which the system was developed using the artificial neural network,
and fuzzy logic in general can be said is able to predict the value of the
availability of rice in the community with the prediction error is 0.3873 where
input from the system we provide is almost exact, with the level of error is
relatively small.
Penulis: M FM Fuad
Kode Jurnal: jppertaniandd110261
