SISTEM INFORMASI STOK BARANG MENGGUNAKAN METODE CLUSTERING KMEANS (STUDI KASUS RMD STORE)
DOI:
https://doi.org/10.31949/infotech.v8i1.2280Abstract
This inventory information system was created to obtain information on goods that were sold in large quantities and those that were not sold (less desirable) in order to reduce the buildup of unsold goods and minimize losses caused by goods that were not in demand, therefore we made an application of the inventory information system using the method clustering KMeans case study RMD Store using PHP Laravel and MySqli.
Keywords:
RMD Store, Clustering KMeans, , Online Shop, Sistem InformasiDownloads
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References
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Y. Darmi and A. Setiawan, “PENERAPAN METODE CLUSTERING K-MEANS DALAM PENGELOMPOKAN PENJUALAN PRODUK,” vol. 12, no. 2, pp. 148–157, 2016.
S. P. Tamba, F. T. Kesuma, and Feryanto, “PENERAPAN DATA MINING UNTUK MENENTUKAN PENJUALAN SPERT PART TOYOTA DENGAN METODE KMEANS CLUSTERING vol. 2, no. 2, 2019.
Mardalius, “PENGELOMPOKAN PENJUALAN AKSESORIS MENGGUNAKAN ALGORITMA K-MEANS,” vol. IV, no. 2, pp. 401– 411, 2018.
Susliansyah, H. Sumarno, H. Priyono, and N. Hikmah, “PENGELOMPOKKAN DATA PEMBELIAN TINTA DENGAN MENGGUNAKAN METODE K-MEANS,” vol. 3, no. September, pp. 381–392, 2019.
Published
01-04-2022
How to Cite
Jabbar, J. (2022). SISTEM INFORMASI STOK BARANG MENGGUNAKAN METODE CLUSTERING KMEANS (STUDI KASUS RMD STORE). INFOTECH Journal, 8(1), 70–75. https://doi.org/10.31949/infotech.v8i1.2280
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