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KLASIFIKASI FUZZY MENGGUNAKAN JARINGAN BACKPROPAGATION (STUDI KASUS PREDIKSI PRESTASI MAHASISWA BERDASARKAN NEM, KEDISIPLINAN, DAN MOTIVASI)

Course Material from jhptump / 2018-02-10 11:28:07
Oleh : Hindayati Mustafidah, Sri hartati, Universitas Muhammadiyah Purwokerto (h.mustafidah@ump.ac.id)
Dibuat : 2012-06-09, dengan 1 file

Keyword : fuzzy classification, backpropagation, neuron, sigmoid, achievement.

This research is the development research that applied the system hybrid between the system fuzzy and artificial neural network that is Fuzzy Neural Network (FNN). This system is the form of fuzzy classification with the backpropagation network to predict the achievement of the student who was based on the NEM value that was received from SLTA, the level of discipline, and the motivation. The step in the research covered: 1) the collection and the determination of the training data and the testing, 2) classification of the learning target, 3) counted the weight distance of the training pattern, 4) counted the level of the membership of the pattern, 5) determined the pattern of the target output, 6) did learning used the backpropagation algorithm towards the



training data, 7) carried out the simulation of the testing data with before determined his value of the data. The system was designed with the network structure that consisted of 1 input layer (with 3 neurons), 1 hidden layer (with 10 neurons) and 1 output layer (with 5 neurons). By using the MATLAB program 6,5, was received by results of the end that gave the value of the correlation coefficient (R) = 1 which means that has the same value between the value of the target output and the network output.



With data input NEM, the level of discipline, and the motivation, the system can carry out the prediction of the studying achievement of the student who covered the category of the ugly achievement, was enough, good, very good, and satisfactory.

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  • 1.Teknik Informatika Fakultas Teknik Universitas Muhammadiyah Purwokerto



    2.Ilmu Komputer FMIPA Universitas Gadjah Mada Yogyakarta, Editor:

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