IMPLEMENTASI ALGORITMA C 5.0 DALAM PREDIKSI STOK BARANG BERDASARKAN PENJUALAN BAHAN PERTANIAN CV. MITRA SEJATI

Siti Mawaddah

Abstract


CV. Mitra Karya Sejati was founded in 1998 by Tardi Sutanto as a trading company in the field of agricultural materials, such as multipurpose fertilizers, pesticides and seeds. CV. Mitra Karya Sejati is often in short supply due to the increasing demand for consumer goods and even some items are not sold, so it is difficult to predict the stock of goods in the warehouse so far based on sales data which is used only as data to report monthly sales results which will then not be used again. . Companies need a sales forecasting system to help you plan stock items in the future. The application of C 5.0 to data mining can make it easier for companies to estimate stock of goods based on sales of agricultural materials. The Data Mining application is built using the PHP programming language and MySQL database to reduce inventory planning losses. Through the proposed system can help companies estimate the stock of goods to be provided to minimize losses.

Full Text:

PDF

References


M. Danuri, “Development and Transformation of Digital Technology,” Infokam, vol. XV, no. II, pp. 116–123, 2019.

A. W. Wijayanti, “Analisis Hasil Implementasi Data Mining Menggunakan Algoritma Apriori pada Apotek,” J. Edukasi dan Penelit. Inform., vol. 3, no. 1, pp. 60–64, 2017, doi: 10.26418/jp.v3i1.19534.

G. A. Darmawan, Y. Susanti, and Siswanto, “Implementasi Data Mining Menggunakan Algoritme C5.0 Pada Data Kelulusan Mahasiswa S1 Universitas Sebelas Maret Surakarta,” Univ. Sebel. Maret, vol. 1, no. 1, pp. 1–8, 2018.

L. W. Ningsih and A. A. Nababan, “Perancangan Aplikasi Untuk Prediksi Pengeluaran Dana Desa Dengan Metode Algoritma Moving Average,” JIKOMSI (Jurnal Ilmu Komput. dan Sist. Informas), vol. 3, no. 3, pp. 103–108, 2021.

L. P. A. Prapitasari and N. K. D. A. Jayanti, “Penerapan Metode EOQ ( Economic Order Quantity ) Pada Peramalan Stok Barang,” Konf. Nas. Sist. Inform., pp. 9–10, 2017.

A. A. Wahid, “Analisis Metode Waterfall Untuk Pengembangan Sistem Informasi,” J. Ilmu-ilmu Inform. dan Manaj. STMIK, pp. 1–5, 2020.

M. S. Sungkar and M. T. Qurohman, “Penerapan Algoritma C5.0 Untuk Prediksi Kelulusan Pembelajaran Mahasiswa Pada Matakuliah Arsitektur Sistem Komputer,” J. Media Inform. Budidarma, vol. 5, no. 3, p. 1166, 2021, doi: 10.30865/mib.v5i3.3116.

N. H. Harani and F. S. Damayanti, “Implementasi Algoritma C5.0 Untuk Menentukan Pelanggan Potensial Di Kantor Pos Cimahi,” J. SITECH Sist. Inf. dan Teknol., vol. 4, no. 1, pp. 69–76, 2021, doi: 10.24176/sitech.v4i1.6281.

M. R. Santoso and P. Musa, “Rekomendasi Kesehatan Janin Dengan Penerapan Algoritma C5.0 Menggunakan Classifying Cardiotocography Dataset,” J. Simantec, vol. 9, no. 2, pp. 65–76, 2021, doi: 10.21107/simantec.v9i2.10730.

F. N. Umma, B. Warsito, and D. A. I. Maruddani, “Klasifikasi Status Kemiskinan Rumah Tangga Dengan Algoritma C5.0 Di Kabupaten Pemalang,” J. Gaussian, vol. 10, no. 2, pp. 221–229, 2021, doi: 10.14710/j.gauss.v10i2.29934.

R. N. Amalda, N. Millah, and I. Fitria, “Implementasi Algoritma C5.0 dalam Menganalisa Kelayakan penerima Keringanan UKT Mahasiswa ITK,” Teorema Teor. dan Ris. Mat., vol. 7, no. 1, pp. 101–116, 2022.




DOI: http://dx.doi.org/10.30829/jistech.v6i1.11905

Refbacks

  • There are currently no refbacks.



Current Indexing :

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.