Prediksi Perilaku Pola Pengunjung Terhadap Transaksi Pada Toko Buku Gramedia Menggunakan Jaringan Syaraf Tiruan Metode Back Propagation
| Main Author: | Sangadji, Iriansyah BM; STT PLN |
|---|---|
| Format: | application/octetstream eJournal |
| Bahasa: | ind |
| Terbitan: |
Universitas Kristen Maranatha
, 2011
|
| Online Access: |
http://majour.maranatha.edu/index.php/jurnal-informatika/article/view/295 |
Daftar Isi:
- There are many methods developed to achieve optimize output in predicting area solving and patterns. This paper focused to explore an implementation back propagation neural network method in using to find behavior pattern of visitors and transactions. Model will describe correlations between number of visitors and transaction happen in Gramedia Book Store at Puri Indah Jakarta. The data research source since July to August 2008 just in visitors and transactions happened. System mode is model of prediction applications based on feedforward backpropagation neural network using matlab programming. Discussion about performance measurement of predicting system based on number of transactions and visitors. Patterns and Graphics explain good performance predict system in 80% general. It means the output error values under 20%. System result shows the identification and correlation patterns of visitors and transactions to predict about transaction moment will happen. It will use to decide the shift of time worker or commercial moment.