Simulasi Algoritma Monte Carlo dalam Memprediksi Pendapatan Penjualan Produk Kalsium Tiens Syariah
|
Keywords:
Simulation, Monte Carlo, Income Prediction, Calcium Product, Tiens
AbstractIn meeting consumer needs, the availability of calcium products is a problem that needs attention. Items that are often sold will be the largest stock, so that the demand for finished goods is met and income will also increase. This study aims to predict the level of sales revenue for calcium products at stokies tiens 872, in determining which products will be provided for the following year. The data to be used is the sales data for calcium products from 2018 to 2019. Data processing is carried out using the Monte Carlo algorithm, then the data is processed and generated using random numbers taken randomly, after which it is converted or changed in the form of distribution with use simulation techniques to get the results. The results obtained in predicting the income level of sales of calcium products, by making comparisons with the sales data that were sold, namely Nutrient High Calcum Powder that existed in 2018, with simulation results in 2018 with a data accuracy rate of 91%, with the number of calcium products. as many as 1367 products. Then the data in 2019 with simulation results in 2019 with a data accuracy rate of 93% with the number of calcium products as many as 1667 products. With the resulting level of accuracy in the study, the monte carlo simulation can help the stockies predict sales revenue based on processed data, so that this study is able to predict the level of income for the following year. Downloads
Download data is not yet available.
ReferencesSyahrin, E., Santony, J., & Na’am, J. (2018). Pemodelan Penjualan Produk Herbal Menggunakan Metode Monte Carlo. Jurnal KomtekInfo, 5(3), 33-41. DOI: https://doi.org/10.35134/komtekinfo.v5i3.148 . Manurung, K. H., & Santony, J. (2019). Simulasi Pengadaan Barang Menggunakan Metode Monte Carlo. Jurnal Sistim Informasi dan Teknologi, 1(3), 7-10. DOI: https://doi.org/10.35134/jsisfotek.v1i3.3 . Hutahaean, H. D. (2018). Analisa Simulasi Monte Carlo Untuk Memprediksi Tingkat Kehadiran Mahasiswa dalam Perkuliahan (Studi Kasus: STMIK Pelita Nusantara). Journal Of Informatic Pelita Nusantara, 3(1). Yaqin, M. A., Julkarnain, M., Syafri, K., & Kadir, N. (2018). Survey Aplikasi Pemodelan dan Simulasi Proses Bisnis Open Source. MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi, 10(2), 59-64. DOI: https://doi.org/10.18860/mat.v10i2.5164 . Naim, M. A., & Donoriyanto, D. S. (2020). Pengendalian Persediaan Obat Di Apotek Xyz dengan Menggunakan Simulasi Monte Carlo. Juminten: Jurnal Manajemen Industri & Teknologi, 1(2), 1-11. https://doi.org/10.33005/juminten.v1i2.11 Yusmaity., Santony, J., & Yunus, Y. (2019). Simulasi Monte Carlo untuk Memprediksi Hasil Ujian Nasional (Studi Kasus di SMKN 2 Pekanbaru). Jurnal Informasi dan Teknologi, 1(4), 1-6. DOI: https://doi.org/10.37034/jidt.v1i4.21 . Zalmadani, H., Santony, J., & Yunus, Y. (2020). Prediksi Optimal dalam Produksi Bata Merah Menggunakan Metode Monte Carlo. Jurnal Informatika Ekonomi Bisnis, 2(1), 13-20. DOI: https://doi.org/10.37034/infeb.v2i1.11 . Santony, J. (2020). Simulasi Penjadwalan Proyek Pembangunan Jembatan Gantung dengan Metode Monte Carlo. Jurnal Informasi dan Teknologi, 2(1), 30-35. DOI: https://doi.org/10.37034/jidt.v2i1.34 . Astia, R. Y., Santony, J., & Sumijan, S. (2019). Prediction of Amount of Use of Planning Family Contraception Equipment Using Monte Carlo Method (Case Study In Linggo Sari Baganti District). Indonesian Journal of Artificial Intelligence and Data Mining, 2(1), 28-36. DOI: http://dx.doi.org/10.24014/ijaidm.v2i1.5825 . Chang, G. (2018). Examining the Efficiency of American Put Option Pricing by Monte Carlo Methods with Variance Reduction. International Journal of Economics and Finance, 10(2), 10-13. DOI: http://doi.org/10.5539/ijef.v10n2p10 . Hartomi, Z. H., Yuhandri, Y., & Santony, J. (2020). Optimalisasi Prediksi Biaya Komisi Penjualan Mobil Menggunakan Metode Monte Carlo. Jurnal KomtekInfo, 7(2), 140-151. |
Published
2021-03-31
Section
Articles
How to Cite
Yani, Z., & Sumijan. (2021). Simulasi Algoritma Monte Carlo dalam Memprediksi Pendapatan Penjualan Produk Kalsium Tiens Syariah. Jurnal Informatika Ekonomi Bisnis, 3(1), 8-15. https://doi.org/10.37034/infeb.v3i1.58
 This work is licensed under a Creative Commons Attribution 4.0 International License. |
