Mawaddah, Siti (2022) Penerapan Data mining Untuk Prediksi Stok Barang Berdasarkan Penjualan Bahan Pertanian Menggunakan Algoritma C 5.0 pada CV. MITRA KARYA SEJATI. Skripsi thesis, Universitas Islam Negeri Sumatera Utara Medan.
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Abstract
Founded in 1998 by Mr. Tardi Sutanto, CV. Mitra Karya Sejati is a company specializing in the distribution of agricultural inputs like multifunctional fertilizers, herbicides, and seeds. Due to rising consumer demand and unsold inventory, CV. Mitra Karya Sejati frequently faces stock-outs, making it difficult to predict warehouse inventory levels using sales data, which is currently only used for reporting monthly sales results. Henceforth it shall never be re-employed. In order to better plan for future stock items, the organization requires a sales forecast system. Companies can better anticipate stock needs based on sales of agricultural materials with the use of C 5.0 on Data Mining. To cut down on waste in stock management, a PHP and MySQL-based Data Mining application was developed. The proposed approach can aid businesses in anticipating the stock of items supplied in order to reduce losses.
| Jenis Item: | Skripsi (Skripsi) |
|---|---|
| Uncontrolled Keywords: | C 5.0, Prediction, Data Mining |
| Subjects: | 000 Generalities > 005 Computer programming, programs, data |
| Divisions: | Fakultas Sains dan Teknologi > Sistem Informasi > Skripsi |
| Pengguna yang mendeposit: | Mrs. Misdar Piliang |
| Date Deposited: | 22 Jun 2023 08:22 |
| Last Modified: | 22 Jun 2023 08:22 |
| URI: | http://repository.uinsu.ac.id/id/eprint/19681 |
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