Forecasting Cardiovascular Drug Demand Using Triple Exponential Smoothing Additive

Drug management and pharmaceutical services in hospitals often face two main problems: stockouts and overstocking. This research aims to apply the Triple Exponential Smoothing (TES) additive method to forcast cardiovascular drug needs for the period of January–March 2024 at RSUD Dr. Kanujoso Djatiwibowo. This research employs a retrospective method using cardiovascular drugs data collected between January 2021 and December 2023. The forecasting results were interpreted using Mean Absolute Percentage Error (MAPE). The forecasting conducted in the range of January - March 2024, there four drug items distribute in highly accurate forecasts (MAPE<10%), while four drugs exhibited good forecasting performance (MAPE 10%-20%). Additionally, two drug items showed fair forecast results (MAPE 20%-50). This study concluded that RSUD Dr. Kanujoso Djatiwibowo could use TES Additive forecasting method.

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Publication Details

Journal
Indonesian Journal of Global Health Research
Published
2025-02-22
DOI
https://doi.org/10.37287/ijghr.v7i2.5010
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Forecasting Cardiovascular Drug Demand Using Triple Exponential Smoothing Additive

Chairun Wiedyaningsih, Endang Yuniarti, Andi Fadilla
Indonesian Journal of Global Health Research
Forecasting Techniques and Applications
article

Forecasting Cardiovascular Drug Demand Using Triple Exponential Smoothing Additive

Chairun Wiedyaningsih, Endang Yuniarti, Andi Fadilla
article en

Abstract

Drug management and pharmaceutical services in hospitals often face two main problems: stockouts and overstocking. This research aims to apply the Triple Exponential Smoothing (TES) additive method to forcast cardiovascular drug needs for the period of January–March 2024 at RSUD Dr. Kanujoso Djatiwibowo. This research employs a retrospective method using cardiovascular drugs data collected between January 2021 and December 2023. The forecasting results were interpreted using Mean Absolute Percentage Error (MAPE). The forecasting conducted in the range of January - March 2024, there four drug items distribute in highly accurate forecasts (MAPE<10%), while four drugs exhibited good forecasting performance (MAPE 10%-20%). Additionally, two drug items showed fair forecast results (MAPE 20%-50). This study concluded that RSUD Dr. Kanujoso Djatiwibowo could use TES Additive forecasting method.

Indonesian Journal of Global Health ResearchVol. 7(2)
Universitas Gadjah Mada (ID), Muhammadiyah University of Yogyakarta (ID)
Lembaga Pengelola Dana Pendidikan
Openalex Percentile: Top 97%
Forecasting Techniques and Applications
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