Pemanfaatan Teknik Peramalan Data Deret Waktu pada Inventori Farmasi di Rumah Sakit

Aziz Mu'min (Universitas Kristen Maranatha)
Setia Budi (Universitas Kristen Maranatha)
Hapnes Toba (Universitas Kristen Maranatha)

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Vol 10 No 2 (2024): JuTISI

Good inventory management is essential in the hospital industry to overcome inventory problems. Ineffective inventory prediction methods can lead to shortages or excess stock inventory. Ultimately, this can impact the budget and availability of pharmaceutical items in the hospital. Previous traditional prediction methods often show inaccuracies. This research utilizes ARIMA (Autoregressive Integrated Moving Average) and FB Prophet methods to predict the demand for pharmaceutical items in hospitals. In an attempt to evaluate the effectiveness of both methods, an experiment was conducted on five pharmaceutical items. The results showed that the ARIMA method produced better performance compared to the FB Prophet method, with the smallest error of 0.07310.