Analisis Simulasi Monte Carlo untuk Memprediksi Penjualan Basreng pada Toko XYZ

Authors

  • Triana Novita Universitas Putra Indoneseia Indonesia "YPTK" Padang
  • Hafizh Muhammad Universitas Putra Indonesia "YPTK" Padang

Abstract

Micro, small and medium enterprises (MSMEs) are one of the pillars of the current economy because they help the community and increase employment opportunities. MSMEs usually only reach an area, so if the area's MSMEs are developed then the surrounding community will also prosper, and vice versa. Even though it is only MSMEs in a region, it does not rule out the possibility of selling products/services to other regions or even abroad, one of which is by utilizing online-based sales. However, for food products, buyers usually prefer to go directly to the shop compared to ordering online because it takes time and there is a risk of damaged packaging and so on. Good sales are inventory that is always available and measurable both in offline and online sales. Therefore, the form of this system is to present information from data on the number of product sales using the Monte Carlo simulation method in the MSME industry of XYZ shop, the aim of which is to predict income and inventory of goods from sales of each product for the following month. In essence, this system is designed to predict gross profit on each type of item in the store. With this system, it is hoped that it can be used by the MSME industry to simulate the sale of goods in shops, and can make it easier for MSME industry owners to obtain information about the possibilities that will occur in the sale of their products.

References

S. Al Farisi, M. Iqbal Fasa, and Suharto, “PERAN UMKM (USAHA MIKRO KECIL MENENGAH) DALAM MENINGKATKAN KESEJAHTERAAN MASYARAKAT,” J. Din. Ekon. Syariah, 2022, doi: 10.53429/jdes.v9ino.1.307.

L. Hanim, E. Soponyono, and M. Maryanto, “Pengembangan UMKM Digital di Masa Pandemi Covid-19,” Pros. Semin. Nas. Penelit. dan Pengabdi. Kpd. Masy., 2022, doi: 10.24967/psn.v2i1.1452.

A. Mahfadillah, N. J. Sitorus, Mustofarudin, and Nurbaiti, “STRATEGI PEMANFAATKAN E-COMMERCE DALAM MEMASARKAN CEMILAN DI MEDAN (Studi Kasus : Basreng),” Ekon. Bisnis Manaj. dan Akunt. , 2021.

Melladia, T. Informatika, U. Nahdlatul, U. Sumatera, F. Chaining, and Z. Plastik, “Aplikasi Sistem Pakar Mendeteksi Zat Berbahaya Pada Plastik Menggunakan Metode Backward Chaining,” pp. 19–28.

A. A. Pratiwi and R. Rilantiana, “Analisis Risiko Finansial Dengan Metode Simulasi Monte Carlo (Studi Kasus: Pt. Phase Delta Control),” AKRUAL J. Akunt., 2016, doi: 10.26740/jaj.v8n1.p62-71.

I. Ardiansah, T. Pujianto, and I. I. Perdana, “Penerapan Simulasi Monte Carlo dalam Memprediksi Persediaan Produk Jadi pada IKM Buluk Lupa,” J. Ind. Pertan., vol. 01, no. 03, pp. 61–69, 2019.

M. Melladia, D. E. Putra, and L. Muhelni, “Penerapan Data Mining Pemasaran Produk Menggunakan Metode Clustering,” J. Tek. Inf. dan Komput., vol. 5, no. 1, p. 160, 2022, doi: 10.37600/tekinkom.v5i1.458.

H. D. Hutahaean, “ANALISA SIMULASI MONTE CARLO UNTUK MEMPREDIKSI TINGKAT KEHADIRAN MAHASISWA DALAM PERKULIAHAN (studi Kasus : STMIK PELITA NUSANTARA),” J. Inform. Pelita Nusant., 2018.

M. Dian Eka Putra, “Prediksi Penjualan Sprei Kasur Toko Coco Alugada Menggunakan Metode Monte Carlo,” vol. 10, no. 2, pp. 115–126, 2022.

K. H. Manurung and J. Santony, “Simulasi Pengadaan Barang menggunakan Metode Monte Carlo,” J. Sistim Inf. dan Teknol., 2019, doi: 10.35134/jsisfotek.v1i3.3.

D. rosa Indah and Z. Maulida, “Pengendalian Persediaan Bahan Baku Pada PT. Aceh Rubber Industries Kabupaten Aceh Tamiang,” J. Manaj. dan Keuang., 2018, doi: 10.33059/jmk.v7i2.814.

S. Simatupang, Simulasi Monte Carlo dalam Memprediksi Ketersediaan Barang PT. Terang Abadi Pekanbaru. 2022.

Downloads

Published

2023-11-30

How to Cite

Novita, T., & Muhammad, H. (2023). Analisis Simulasi Monte Carlo untuk Memprediksi Penjualan Basreng pada Toko XYZ. Jurnal TEFSIN ( Jurnal Teknik Informatika Dan Sistem Informasi), 1(2), 33–37. Retrieved from http://jurnal.unusumbar.ac.id:8090/ojs/index.php/jts/article/view/129