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Vol. 6 No. 2 (2025) • Articles
Open Access

Penerapan Metode Monte Carlo untuk Simulasi Prediksi Tingkat Penjualan Coklat Khas Dubai

Efani Desi
Universitas Potensi Utama
Siti Aliyah
Universitas Potensi Utama
Wulan Dari
Universitas Potensi Utama
Fitri Pranita Nasution
Universitas Potensi Utama
Enni Maisaroh
Universitas Potensi Utama
Published: May 30, 2025 Pages: 1212-1221
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Abstract

DarkChoco, which sells Dubai chocolate, has seen its sales increase every day, but this situation has affected the level of service to customers because the ingredients used to make the chocolate run out quickly. There are some customers who cannot taste and get the Dubai chocolate. This case will lead to fewer customers. So this research was conducted to predict sales in maintaining the availability of materials so that the services will increase again. The method that will be used in this research uses the Monte Carlo method by processing Dubai Viral Chocolate sales data in 2021, 2022 and 2023. This study aims to simulate the prediction of the sales level of Dubai specialty chocolate by applying the Monte Carlo method. Dubai specialty chocolate is a product with high market potential and significant demand fluctuations, so accurate sales prediction is very important for business decision making. The simulation of the sales forecast will show an average accuracy rate of about 94.5%, which means that the forecast is quite close to the actual data. Some months with large deviations (February, March, May, August, December) indicate potential seasonal variability or other factors that need attention. This simulation model is effective for sales forecasting and planning by taking uncertainty into account.  Thus, this method is capable of producing forecasts that are more realistic and informative than conventional methods. The results show that the application of Monte Carlo method is able to provide a comprehensive overview of sales simulation and predict sales levels with sufficient accuracy, and this Monte Carlo method can also be an effective tool in helping companies manage inventory and marketing strategies for Dubai specialty chocolates to improve operational efficiency and business profits in the future.

Keywords:
Application Forecasting Sales Simulation Monte Carlo
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Author Biographies
Efani Desi Universitas Potensi Utama

Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Potensi Utama, Kota Medan, Provinsi Sumatera Utara, Indonesia.

Siti Aliyah Universitas Potensi Utama

Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Potensi Utama, Kota Medan, Provinsi Sumatera Utara, Indonesia.

Wulan Dari Universitas Potensi Utama

Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Potensi Utama, Kota Medan, Provinsi Sumatera Utara, Indonesia.

Fitri Pranita Nasution Universitas Potensi Utama

Program Studi Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Potensi Utama, Kota Medan, Provinsi Sumatera Utara, Indonesia.

Enni Maisaroh Universitas Potensi Utama

Program Studi Pendidikan Bahasa Inggris, Fakultas Ilmu Sosial dan Kebudayaan, Universitas Potensi Utama, Kota Medan, Provinsi Sumatera Utara, Indonesia.

How to Cite
Desi, E., Aliyah, S., Dari, W., Nasution, F. P., & Maisaroh, E. (2025). Penerapan Metode Monte Carlo untuk Simulasi Prediksi Tingkat Penjualan Coklat Khas Dubai. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 6(2), 1212-1221. https://doi.org/10.63447/jimik.v6i2.1413
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