EN 
IN
Journal article
PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH
I Putu Yudi Prabhadika NI KETUT TARI TASTRAWATI Luh Putu Ida Harini
Volume : 7 Nomor : 2 Published : 2018, May
E-JURNAL MATEMATIKA - Jurusan Matematika, Fakultas MIPA Universitas Udayana
Abstrak
Infusion supplies are an important thing that must be considered by the hospital in meeting the needs of patients. This study aims to predict the need for infusion of 0.9% 500 ml of NaCl and 5% 500 ml glucose infusion at Sanglah General Hospital (RSUP) Sanglah so that the hospital can estimate the many infusions needed for the next six months. The forecasting method used in this research is the autoregressive integrated moving average (ARIMA) time series method. The results of this study indicate the need for infusion at Sanglah Hospital as many as 154,831 units for infusion of 0.9% NaCl 500 ml and 8,249 units for 5% 500 ml Glucose infusion. Keywords: infusion supply, forecasting, Autoregressive Integrated Moving Average (ARIMA)