Purnawan, Hendra (2023) PREDIKSI PENJUALAN PLAFON PVC MENGGUNAKAN JARINGAN SARAF TIRUAN METODE PROPAGASI BALIK DENGAN ALGORITMA R. Masters thesis, Jakarta Global University.
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Abstract
The rapid development of science and technology accompanied by increasingly fierce competition in the business world has resulted in competition between companies in providing services to consumers. A good product will make product searches according to the needs of customers. Therefore, we need a way to produce goods correctly. In this problem the author tries to do research at the company which aims to predict sales of PVC ceilings with a neural network with R Studio. The results of data analysis using a neural network with R Studio so that the results can be predicted for PVC ceiling sales using R Studio with 6 hidden. With variable consists of 4 input data and I output and accuracy rate of 88%.
Keywords: sales prediction, neural network, R studio, PVC ceiling and accuracy.
| Tipe Dokumen: | Thesis (Masters) |
|---|---|
| Tipe: | Thesis |
| Jurusan: | Program Studi S2 Elektro |
| Depositing User: | Dept Perpustakaan Jakarta Global University |
| Date Deposited: | 09 Dec 2025 01:30 |
| Last Modified: | 09 Dec 2025 01:46 |
| URI: | https://digilib.jgu.ac.id/id/eprint/389 |
