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All Journal JTH: Journal of Technology and Health
Sulistyawati, Tyas
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Health Professions Medicine & Pharmacology Nursing

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SALES PREDICTION OF ANUGERAH JAYA PANCING 99 SHOP WITH BACKPROPAGATION NEURAL NETWORKS Binurilfatikhah, Barikna; Hastono, Tri; Sulistyawati, Tyas
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.5

Abstract

Artificial Neural Network (Artificial Neural Network) is an information processing paradigm inspired by the workings of biological nervous systems, such as the performance of the brain, which processes information. Toko Anugerah Jaya Pancing 99 faces challenges in predicting product sales that fluctuate according to customer demand, and external factors can also affect sales of their products. To determine store sales predictions using the backpropagation method. From the research results with data training experiments it was found that the iterations process stopped when the epoch reached 6, time 0.00.01, performance 0.317, Gradient 0.359, and Validation Checks 6. Keywords: Prediction, Backpropagation, Neural Networks, Sales
Co-Authors Binurilfatikhah, Barikna Hastono, Tri