Simulasi Monte Carlo dalam Memprediksi Tingkat Pendapatan Penjualan Kuliner | Jurnal Informatika Ekonomi Bisnis

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Simulasi Monte Carlo dalam Memprediksi Tingkat Pendapatan Penjualan Kuliner

Muhammad Ihksan Universitas Putra Indonesia YPTK Padang Yuhandri Yunus Universitas Putra Indonesia YPTK Padang DOI: https://doi.org/10.37034/infeb.v3i1.63 Keywords: Monte Carlo, Simulation, Sales Revenue, Culinary, Radja Minas Abstract Radja Minas is one of the culinary places located in the city of Padang with more than 30 employees. With the development of Radja Minas, of course, a good management strategy is needed. One way to do a revenue simulation, sales revenue simulation is a process of drawing or predicting sales. This study aims to predict the average sales revenue, so that it becomes a recommendation for use in making management strategies. The data processed in this research is sales data from 2017 to 2019 which comes from Radja Minas. This data will be processed using the monte Carlo method. The results of the tests that have been done have an accuracy rate of 92.66%. The high level of accuracy from the results of predictive data processing, this research is very precise and suitable for optimizing sales revenue. So that this research becomes a recommendation to be used in making a management strategy at Radja Minas in the future. Downloads Download data is not yet available. References Mahessya, R. A., Putra, R. D., & Veri, J. (2019). Pemodelan dan Simulasi Penerapan Antrian Multiphase pada Antrian Pembuatan SIM Pengendara Sepeda Motor Dipolres Sijunjung. Jurnal Sains dan Informatika: Research of Science and Informatic, 5(1), 31-38. Hartomi, Z. H., Yuhandri, Y., & Santony, J. (2020). Optimalisasi Prediksi Biaya Komisi Penjualan Mobil Menggunakan Metode Monte Carlo. Jurnal KomtekInfo, 7(2), 140-151. Dedrizaldi, D., Masdupi, E., & Linda, M. R. (2019). Analisis Perencanaan Persediaan Air Mineral dengan Pendekatan Metode Monte Carlo pada PT. Agrimitra Utama Persada. Jurnal Kajian Manajemen dan Wirausaha, 1(1). Al Akbar, A., Alamsyah, H., & Riska, R. (2020). Simulasi Prediksi Jumlah Mahasiswa Baru Universitas Dehasen Bengkulu Menggunakan Metode Monte Carlo. Jurnal Pseudocode, 7(1), 8-16. DOI: https://doi.org/10.33369/pseudocode.7.1.8-16 . Maulita, M., Adham, M., & Azizah, A. (2019). Analisis Pengaruh Beban Usaha dan Pendapatan Usaha Terhadap Laba Perusahaan Pada PT. Arpeni Pratama Ocean Line Tbk. Sebatik, 23(2), 330-336. DOI: https://doi.org/10.46984/sebatik.v23i2.778 . Masril, M. (2017). Pengaruh Pendapatan Terhadap Laba Bersih Pada Perusahaan Plastik Dad Kaca Yang Listing Di BEI Periode 2010-2014. Jurnal Samudra Ekonomi dan Bisnis, 8(1), 663-670. Trisna, N., Safitri, W., & Pratiwi, M. (2019). Penerapan Sistem Antrian Sebagai Upaya Pengoptimalkan Pelayanan Terhadap Pasien Pada Loket Pengambilan Obat Di RSI. Ibnu Sina Pasaman Barat Dengan Menggunakan Metode Monte Carlo. Jurnal Teknologi Informasi, 3(1), 7-15. DOI: https://doi.org/10.36294/jurti.v3i1.681 . 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 . Geni, B. Y., Santony, J., & Sumijan. (2019). Prediksi Pendapatan Terbesar pada Penjualan Produk Cat dengan Menggunakan Metode Monte Carlo. Jurnal Informatika Ekonomi Bisnis, 1(4), 15-20. DOI: https://doi.org/10.37034/infeb.v1i4.5 . Syahrin, E., Santony, J., & Na’am, J. (2019). Pemodelan Penjualan Produk Herbal Menggunakan Metode Monte Carlo. Jurnal KomtekInfo, 5(3), 33-41. DOI: https://doi.org/10.35134/komtekinfo.v5i3.148 . Munandar, M. H., & Masrizal, M. (2019). Simulasi Penjualan Arang Batok Kelapa dengan Menggunakan Metode Monte Carlo Pada CV. Banjar Berniaga. Jurnal Informatika, 7(2), 100-105. DOI: https://doi.org/10.36987/informatika.v7i2.1360 . Wijaya, F. S., & Sulistio, H. (2019). Penerapan Metode Monte Carlo pada Penjadwalan Proyek Serpong Garden Apartment. JMTS: Jurnal Mitra Teknik Sipil, 2(3), 189-198. DOI: http://dx.doi.org/10.24912/jmts.v2i3.5828 . Muflihunallah, M., Dharmawan, K., & Asih, N. M. (2018) Estimasi Nilai Implied Volatility Menggunakan Simulasi Monte Carl. E-Jurnal Matematika, 7(3), 239-245. DOI: https://doi.org/10.24843/MTK.2018.v07.i03.p209 .	Download Published 2021-03-31 Issue Vol. 3, No. 1 (March 2021) Section Articles How to Cite Ihksan, M., & Yunus, Y. (2021). Simulasi Monte Carlo dalam Memprediksi Tingkat Pendapatan Penjualan Kuliner . Jurnal Informatika Ekonomi Bisnis, 3(1), 28-33. https://doi.org/10.37034/infeb.v3i1.63 ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX This work is licensed under a Creative Commons Attribution 4.0 International License.

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