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

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

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 m...

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Main Authors: I PUTU YUDI PRABHADIKA, NI KETUT TARI TASTRAWATI, LUH PUTU IDA HARINI
Format: Article
Language:English
Published: Universitas Udayana 2018-05-01
Series:E-Jurnal Matematika
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/39559
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spelling doaj-0602f2d1e4444529bc663fe475fae9812020-11-25T01:05:08ZengUniversitas UdayanaE-Jurnal Matematika2303-17512018-05-017212913310.24843/MTK.2018.v07.i02.p19439559PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAHI PUTU YUDI PRABHADIKA0NI KETUT TARI TASTRAWATI1LUH PUTU IDA HARINI2Udayana UniversityUdayana UniversityUdayana UniversityInfusion 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.https://ojs.unud.ac.id/index.php/mtk/article/view/39559
collection DOAJ
language English
format Article
sources DOAJ
author I PUTU YUDI PRABHADIKA
NI KETUT TARI TASTRAWATI
LUH PUTU IDA HARINI
spellingShingle I PUTU YUDI PRABHADIKA
NI KETUT TARI TASTRAWATI
LUH PUTU IDA HARINI
PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH
E-Jurnal Matematika
author_facet I PUTU YUDI PRABHADIKA
NI KETUT TARI TASTRAWATI
LUH PUTU IDA HARINI
author_sort I PUTU YUDI PRABHADIKA
title PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH
title_short PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH
title_full PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH
title_fullStr PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH
title_full_unstemmed PERAMALAN PERSEDIAAN INFUS MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) PADA RUMAH SAKIT UMUM PUSAT SANGLAH
title_sort peramalan persediaan infus menggunakan metode autoregressive integrated moving average (arima) pada rumah sakit umum pusat sanglah
publisher Universitas Udayana
series E-Jurnal Matematika
issn 2303-1751
publishDate 2018-05-01
description 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.
url https://ojs.unud.ac.id/index.php/mtk/article/view/39559
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AT niketuttaritastrawati peramalanpersediaaninfusmenggunakanmetodeautoregressiveintegratedmovingaveragearimapadarumahsakitumumpusatsanglah
AT luhputuidaharini peramalanpersediaaninfusmenggunakanmetodeautoregressiveintegratedmovingaveragearimapadarumahsakitumumpusatsanglah
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