Main Article Content

Effrida Manalu
Fricles Ariwisanto Sianturi
Mamed Rofendy Manalu

Abstract

CV. Papa and Mama is a company engaged in the field of baking and bread making industry and marketing the products to various places. CV. Papa and Mama Pastries have difficulty managing data on bread supplies and bread order receipts that are often overproduced and lacking in production due to inaccurate data. To support an effective bread supply it is necessary to design a system based on Visual Basic 2010 that can solve the problem. The authors apply the Naive Bayes method to provide a solution in predicting bread inventory and bread order acceptance taken based on data last year. Thus, it can help in determining the stock of bread stock in accordance with the needs and desires and produce an alternative choice of bread stock.

Keywords : Prediction, Bread Stock, Naive Bayes Method.

Article Details

How to Cite
Manalu, E., Sianturi, F. A., & Manalu, M. R. (2017). Penerapan Algoritma Naive Bayes Untuk Memprediksi Jumlah Produksi Barang Berdasarkan Data Persediaan dan Jumlah Pemesanan pada Cv. Papadan Mama Pastries. Jurnal Mantik Penusa, 1(2). Retrieved from http://e-jurnal.pelitanusantara.ac.id/index.php/mantik/article/view/257
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Author Biographies

Effrida Manalu, STMIK PELITA NUSANTARA MEDAN

Program Studi Teknik Informatika

Fricles Ariwisanto Sianturi, STMIK Pelita Nusantara Medan

Teknik Inforamtika

Mamed Rofendy Manalu, Politeknik Trijaya Krama

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