Analysis of Prediction Results for Inventory Procurement of Materials Using EOQ Method at O’AYAM GEPREK Store
Abstract
This research discusses the design of a sales prediction and inventory procurement system using the Economic Order Quantity (EOQ) method at O'Ayam Geprek Restaurant. The aim of this study is to enhance the efficiency and effectiveness of inventory management, as well as to obtain optimal material restocking recommendations. The research is conducted through several stages, starting from needs analysis, system design, EOQ algorithm simulation, to application implementation. The EOQ method is chosen because it has been proven to provide accurate solutions in determining the optimal quantity of material orders. The research results indicate the successful implementation of the EOQ method at O'Ayam Geprek. The system can classify materials into two categories, namely Restock Yes and Restock No, based on predefined parameters. Evaluation of 21 materials during the October to November period shows that the system provides effective and efficient restocking recommendations. Alpha and beta functional testing also confirms the success of the implementation, with a user satisfaction level reaching 79.91%.
References
Arifin, S., & Helilintar, R. (2022, August). Sistem Pendukung Keputusan Penentuan Restock Barang Dengan Metode Naive Bayes . In Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), Vol. 6, No. 2, pp. 259-264. (Online)
Ayuningtyas, N., Nining, R., & Basysyar, F. M. (2022). Penerapan Data Mining pada Penjualan Produk MS Glow Menggunakan Metode Naive Bayes untuk Strategi Pemasaran. Jurnal Accounting Information System (AIMS), 5(2), 157-166. (Online)
Damara, M. D. S., Farida, I. N., & Sahertian, J. (2021, August). Sistem Prediksi Minat Penjualan Jaket di Grosir Murah Kediri Menggunakan Metode Naive Bayes . In Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), Vol. 5, No. 1, pp. 309-314. (Online)
Erfina, A. (2021). Buku Ajar Data Mining. Nusa Putra Press.
Ferdika, M., & Kuswara, H. (2017). Sistem Informasi Penjualan Berbasis Web Pada PT Era Makmur Cahaya Damai Bekasi. Information System For Educators And Professionals: Journal of Information System, 1(2), 175-188. (Online)
Granita, S. D. (2021). Implementasi Metode Safety Stock dan Reorder Point pada Sistem Inventory Pengelolaan Stok Barang (Doctoral dissertation, Universitas Islam Negeri Maulana Malik Ibrahim).
Hutahaean, M. (2022). Penerapan Data Mining untuk Memprediksi Penjualan Obat di Klinik Harapan Kita Batam. Doctoral dissertation, Prodi Teknik Informatika. (Online)
Lestari, A., Sucipto, A. A., Priandika, A. T., Apririansyah, A., & Suwarno, Y. (2023). Implementasi Safety Stock Pada Sistem Pengelolaan Stok Pada Toko Si Oemar Bakery Berbasis Web. TELEFORTECH: Journal of Telematics and Information Technology, 3(1), 5-11.
Laoli, S., Zai, K. S., & Lase, N. K. (2022). Penerapan Metode Economic Order Quantity (EOQ), Reorder Point (ROP), dan Safety Stock (SS) dalam Mengelola Manajemen Persediaan di Grand Kartika GunungSitoli. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 10(4), 1269-1279.
Mubarrizi, N. M. (2023). Sistem Informasi Pengelolaan Persediaan Bahan Produksi Dan Pembayaran Tagihan Menggunakan Metode Periodic Review Pada Ben’s Bakery Berbasis Web. Jurnal SITECH: Sistem Informasi dan Teknologi, 6(1), 33-44.
Pratama, F. D., Zufria, I., & Triase, T. (2022). Implementasi Data Mining Menggunakan Algoritma NAÏVE BAYES Untuk Klasifikasi Penerima Program Indonesia Pintar. Rabit: Jurnal Teknologi dan Sistem Informasi Univrab, 7(1), 77-84. (Online)
Romli, I., Pusnawati, E., & Siswandi, A. (2019). Penentuan tingkat penjualan mobil di Indonesia dengan menggunakan Algoritma Naive Bayes . e-Prosiding SNasTekS, 1(1), 367-380. (Online)
Sanubari, T., Prianto, C., & Riza, N. (2020). Odol (one desa one product unggulan online) penerapan metode Naive Bayes pada pengembangan aplikasi e-commerce menggunakan Codeigniter (Vol. 1). Kreatif. (Online)
Setyawan, M. Y. H., & Pratiwi, D. A. (2020). Membuat sistem informasi gadai online menggunakan codeigniter serta kelola proses pemberitahuannya. Kreatif Industri Nusantara. (Online)
Wijaya, H. D., & Dwiasnati, S. (2020). Implementasi Data Mining dengan Algoritma NAÏVE BAYES pada Penjualan Obat. Jurnal Informatika, 7(1), 1-7. (Online)
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