Simulasi Monte Carlo untuk Memprediksi Persediaan Darah
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Keywords:
Monte Carlo, Inventory, Production, Prediction, Blood Bag
AbstractBlood is a special organ as a communication and transportation system whose job is to circulate nutrients and oxygen. As a very vital transport system and its very useful existence for many people, blood must be managed properly. Monte Carlo simulations can predict problems related to blood stock and demand for blood. The data that is processed to predict blood supply is blood production data in 2018 and 2019, Simulation results data for 2018 are compared with real data for 2019 and simulation results for 2019 are compared with real data for 2020. The results of the simulations that have been carried out have an accuracy rate of 96.21% for 2018 and 79.22% for 2019. Based on the results of the tests that have been done, it can provide information that can help in the management of forecasting future blood stocks. ReferencesFauzi, M., & Bahagia, S. N. (2019). Pengambilan Keputusan Komponen Darah dalam Pengendalian Persediaan dalam Menggunakan Metode AHP di PMI Kota Bandung. Jurnal Ilmiah Teknologi Infomasi Terapan, 5(2), 13-20. DOI: https://doi.org/10.33197/jitter.vol5.iss2.2019.276 . Rakhman, A., & Sabanise, A. Y. F. (2019). Sistem Informasi Stok Kebutuhan Darah Pada Palang Merah Indonesia Dengan Metode Weighted Moving Average. Syntax Literate; Jurnal Ilmiah Indonesia, 4(7), 24-32. Syahrin, E., Santony, J., & Na’am, J. (2018). Pemodelan Penjualan Produk Herbal Menggunakan Metode Monte Carlo. Jurnal KomtekInfo, 5(3), 3-41. DOI: https://doi.org/10.35134/komtekinfo.v5i3.148 . Muhaimin, A., Sumijan, S., & Santony, J. (2020). Pemodelan dan Simulasi Penggelolaan Persediaan Alat Tulis Kantor dengan Metode Monte Carlo. Jaringan Sistem Informasi Robotik-JSR, 4(1), 1-6. Effendi, D., & Noviansyah, B. (2018). Rancang Bangun Sistem Informasi Manajemen Persediaan Barang di Suhuf Kertaseni Nusantara Bandung. JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), 3(1), 17-23. DOI: http://dx.doi.org/10.29100/jipi.v3i1.584 . 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 . Sumiati, S., & Iriani, I. (2017). Pengendalian Persediaan Bahan Baku dengan Mengunakan Simulasi Monte Carlo di UD. Selebriti. Tekmapro: Journal of Industrial Engineering and Management, 12(2), 46-58. DOI: https://doi.org/10.33005/tekmapro.v12i2.79 . Irfani, M. H., & Dafid, D. (2018). Estimasi Pengunjung Menggunakan Simulasi Monte Carlo pada Warung Internet XYZ. Jurnal Ilmiah Informatika Global, 8(2). 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 . 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 . Satria, R., Sovia, R., & Gema, R. L. (2017). Pemodelan dan Simulasi Analisa Sistem Antrian Pelayanan Nasabah di PT Sarana Sumatera Barat Ventura SSBV Menggunakan Metode Monte Carlo. Komputer Teknologi Informasi, 4(1). |
Published
2020-12-31
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Articles
How to Cite
Darnis, R., Nurcahyo, G. W., & Yunus, Y. (2020). Simulasi Monte Carlo untuk Memprediksi Persediaan Darah. Jurnal Informasi Dan Teknologi, 2(4), 139-144. https://doi.org/10.37034/jidt.v2i4.98
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