Rancang Bangun Aplikasi Memprediksi Penggunaan Infus di Rumah Sakit menggunakan Metode Moving Average (Studi Kasus Rumah Sakit Arun Lhokseumawe)

Riezqya Arrina Phonna, Mahdi Mahdi, Azhar Azhar

Sari


Hospital is a health service institution that provides complete health services. The better the health service, the more satisfied the patient will be, and vice versa. In this study, we will discuss the availability of infusion fluids for patients in optimal amounts. Hospitals must provide Infusion supplies for patients for a period of 1 period or 1 month. So far, planning for Infusion requests for use in the next period, is still using instinctive techniques by the head of the hospital warehouse. Thus, this will result in an excess or even a decrease in the Infusion supply. Thus, this problem can be solved by predicting the need for Infusion in the future period for the need for Infusion for the patient. In this study, we will build a system that is able to predict future Infusion needs. The results of this prediction can be used as a reference in planning for Infusion requests to the health office. The purpose of this research is to be able to build a prediction system for future Infusion inventory needs in hospitals using the Moving Average method. Thus, this system can assist the planning process of future drug needs in hospitals. Moving Average is an indicator that calculates the average price of an asset over a certain period of time, then connects it in the form of a line. The average value is calculated based on 3 periods, one period of 30 days or 1 month. The Moving Average (MA) method uses the average of the last few data as forecast data for the next future. The result of this study is a prediction system, which is able to predict the use of infusion needs in the future. The test of this system includes an error accuracy of 26.54% based on testing 8 data scenarios. Keywords — Infusion, Moving Average, Prediction, Hospital.

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Referensi


Z. U. Nuha, “Prediksi Jumlah Kebutuhan Obat-obatan

menggunakan Metode Fuzzy Tsukamoto (Studi Kasus

Dinas Kesehatan Kabupaten Malang),” 2013.

R. Naufal, “Sistem Informasi Inventory Berdasarkan

Prediksi Data Penjualan Barang Menggunakan

Metode Single Moving Average Pada CV . Agung

Youanda,” vol. 4, pp. 29–33, 2017.

Ginting, R. (2007). Sistem Produksi. Yogyakarta:

Graha Ilmu.

Herdianto, “Prediksi Kerusakan Motor Induksi

Menggunakan Tesis Oleh Herdianto Fakultas

Teknik,” Universitas Sumatera Utara Medan, 2013.

“Jenis Cairan Infus dan Kegunaannya,” 2019.

[Online]. Available:

https://www.alodokter.com/dasar-dasar-prosedurmemanfaatkan-cairaninfus. [Accessed: 29-Dec-2021].

“Cairan Infus Asering.” [Online]. Available:

https://www.tokopedia.com/vandimakmur/infusasering-500mlcairan#:~:text=Asering Otsu merupakan

cairan infus,menjaga keseimbangan cairan dan

elektrolit. [Accessed: 27-Jul-2022].

“Cairan Infus Martos.” [Online]. Available:

https://www.alodokter.com/komunitas/topic/infus-7.

[Accessed: 27-Jul2022].

“Infus 2A.” [Online]. Available:

https://www.klikdokter.com/obat/wida-2ainfus.

[Accessed: 27-Jul-2022].

Buulolu, Efori. (2020). Data Mining Untuk Perguruan

Tinggi. Sleman. Deepublish.

Subagyo. (2008). Forecasting Konsep dan Aplikasi.

Yogyakarta: BPFE.

R. Rachman, “Penerapan Metode Moving Average

dan Exponential Smoothing pada Peramalan Produksi

Industri Garment,” vol. 5, no. 1, pp. 211–220, 2018.

“Cara Menghitung Mean Absolute Percentage Error”

[Online].Available:https://www.khoiri.com/2020/12/p

engertian-dan-cara-menghitung-meanabsolutepercentage-error-mape.html. [Accessed:19-Aug-2022


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