Peramalan Permintaan Roti Harian dengan Simulasi Monte Carlo di Reza Bakery
Original Full-Text Article
Download published version for reading and archivingAbstract
The fluctuating daily demand at Reza Bakery leads to an imbalance between production capacity and consumer needs. This study aims to forecast the daily demand of the three best-selling bread products using the Monte Carlo simulation method: Small White Bread, Mocha Bread, and French Chocolate Bread. Sales data from April 2025 covering 30 days were used as the simulation basis. The simulation involves calculating the probability distribution of demand, generating random numbers, and mapping them to demand predictions. Results show that daily demand predictions range from 33–40 units for Small White Bread, 16–22 units for Mocha Bread, and 7–12 units for French Chocolate Bread. This method helps in formulating more efficient production strategies, with good accuracy estimates based on the match between simulation results and historical trends. The simulation offers potential to reduce overstock risks and improve operational efficiency.
Author Biographies
Program Studi Ilmu Komputer, Fakultas Matematika, Universitas Negeri Medan, Kabupaten Deli Serdang, Provinsi Sumatera Utara, Indonesia.
Program Studi Ilmu Komputer, Fakultas Matematika, Universitas Negeri Medan, Kabupaten Deli Serdang, Provinsi Sumatera Utara, Indonesia.
Program Studi Ilmu Komputer, Fakultas Matematika, Universitas Negeri Medan, Kabupaten Deli Serdang, Provinsi Sumatera Utara, Indonesia.
How to Cite
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License .
- Share: You are free to copy, distribute, and transmit the work in any medium or format.
- Adapt: You are free to remix, transform, and build upon the work for any purpose, even commercially.
- Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
References
Total: 15 References- Algifari, F. (2021). Simulasi dalam Menganalisis Tingkat Pendapatan Penjualan Handphone dengan Menggunakan Metode Monte Carlo. Jurnal Informatika Ekonomi Bisnis, 136-141. https://doi.org/10.37034/infeb.v3i4.101.
- Aziza, T. N. (2021). Upaya penguatan kelembagaan pangan. Jurnal Ekonomi Pertanian dan Agribisnis, 3(1), 204-217. https://doi.org/10.21776/ub.jepa.2019.003.01.20.
- Dewi, L. K., & Budiarti, A. (2021). Pengaruh kualitas produk dan harga terhadap loyalitas pelanggan dimediasi kepuasan pelanggan pada Queenstreetstore. Jurnal Ilmu dan Riset Manajemen (JIRM), 10(5). https://doi.org/10.24912/jirm.v10i5.4035.
- Geni, B. Y., & Santony, J. (2020). Prediksi pendapatan terbesar pada penjualan produk cat dengan menggunakan metode Monte Carlo. Jurnal Informatika Ekonomi Bisnis, 15-20. https://doi.org/10.37034/infeb.v1i4.5.
- Ilyas, T. R. (2024). Strategi pengembangan usaha mikro, kecil, dan menengah (UMKM) lokal berbasis platform digital di Kota Malang. Indonesian Journal of Humanities and Social Sciences, 5(2), 1083-1092. https://doi.org/10.33367/ijhass.v5i2.5833.
Similar Articles
Articles sharing related keywords and machine learning classifications: