PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH

Abstract

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.

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Author Biographies

I PUTU YUDI PRABHADIKA, Udayana University

Jurusan Matematika, Fakultas MIPA – Universitas Udayana

NI KETUT TARI TASTRAWATI, Udayana University

Jurusan Matematika, Fakultas MIPA – Universitas Udayana

LUH PUTU IDA HARINI, Udayana University

Jurusan Matematika, Fakultas MIPA – Universitas Udayana

Published
2018-05-13
How to Cite
PRABHADIKA, I PUTU YUDI; TASTRAWATI, NI KETUT TARI; HARINI, LUH PUTU IDA. PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH. E-Jurnal Matematika, [S.l.], v. 7, n. 2, p. 129-133, may 2018. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/39559>. Date accessed: 23 may 2024. doi: https://doi.org/10.24843/MTK.2018.v07.i02.p194.
Section
Articles

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