SciRepID - Simulasi Monte Carlo Dalam Prediksi Penjualan Pempers Makuku


Simulasi Monte Carlo Dalam Prediksi Penjualan Pempers Makuku

Repeater : Publikasi Teknik Informatika dan Jaringan
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)

📄 Abstract

Predicting sales is an important aspect in sales development. Sales prediction simulation is an estimated calculation of the level of product sales in a certain period. Sales of pempers tend to fluctuate due to the choice of many brands available, resulting in sales having a little difficulty in estimating sales of MAKUKU diaper products at Greens Mart stores. This research aims to predict sales Pempers products. This research uses several stages of identifying problems, determining research objectives, collecting data, data collected or obtained from interviews with salespeople, managing data using Monte Carlo stages, implementing/testing data and testing results to see the accuracy of the method used. The analysis results show that Comfit M and Comfit L have almost the same level of accuracy, namely Comfit M is around 90.63% and sales of Comfit L are 90.48%. These values ​​provide an indication of the level of accuracy of the sales predictions made.
 
 
 

🔖 Keywords

#monte carlo; estimation; product; makuku

ℹ️ Informasi Publikasi

Tanggal Publikasi
27 June 2024
Volume / Nomor / Tahun
Volume 2, Nomor 3, Tahun 2024

📝 HOW TO CITE

Nurul Mudhofar; Soffiana Agustin, "Simulasi Monte Carlo Dalam Prediksi Penjualan Pempers Makuku," Repeater : Publikasi Teknik Informatika dan Jaringan, vol. 2, no. 3, Jun. 2024.

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