Prediction of Whole Blood Stock Using Single Exponential Smoothing: A Case Study at the Indonesian Red Cross, Semarang

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JUSIFO (Jurnal Sistem Informasi) | Vol. 10, No. 1, Juni 2024
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Published: Jun 30, 2024
DOI: https://doi.org/10.19109/jusifo.v10i1.22368
Keywords:
Prediction system, single exponential smoothing, whole blood type

Main Article Content

Adha Wiyan Hayyannabil
Department of Informatics, Universitas PGRI Semarang
Aris Tri Joko Harjanto
Department of Informatics, Universitas PGRI Semarang
Bambang Agus Herlambang
Department of Informatics, Universitas PGRI Semarang

Abstract

The Indonesian Red Cross, as a provider of public health services in the city of Semarang, experienced a shortage of whole blood supply in April 2023 due to high demand. In response to this issue, an effective prediction system is needed. This research aims to apply the single exponential smoothing method to predict blood needs at the Indonesian Red Cross in Semarang. The study uses data from 2022 to April 2024 as historical data to forecast blood requirements. The research findings indicate a continuous increase in the demand for whole blood availability. This study provides a foundation for developing a better prediction system with more complex data patterns.

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How to Cite
Hayyannabil, A. W., Harjanto, A. T. J., & Herlambang, B. A. (2024). Prediction of Whole Blood Stock Using Single Exponential Smoothing: A Case Study at the Indonesian Red Cross, Semarang. JUSIFO (Jurnal Sistem Informasi), 10(1), 9-16. https://doi.org/10.19109/jusifo.v10i1.22368
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Vol. 10 No. 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
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Articles
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How to Cite

Hayyannabil, A. W., Harjanto, A. T. J., & Herlambang, B. A. (2024). Prediction of Whole Blood Stock Using Single Exponential Smoothing: A Case Study at the Indonesian Red Cross, Semarang. JUSIFO (Jurnal Sistem Informasi), 10(1), 9-16. https://doi.org/10.19109/jusifo.v10i1.22368

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