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All Journal BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer
Wulandari, Savira Puteri
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Computer Science & IT

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Analisis Prediksi Kebutuhan Kapasitas Media Penyimpanan RME dengan Metode Least Square RSUPN Dr. Cipto Mangunkusumo Jakarta Wulandari, Savira Puteri; Rahagiyanto, Angga; Nuraini, Novita
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 5 No 2 (2024): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v5i2.133

Abstract

The implementation of electronic medical record services is supported by PMK RI Number 24 of 2022, Article 3, Paragraph 1, which mandates that every health service facility must organize Electronic Medical Records (EMR). Therefore, hospitals need to transition from manual to electronic records. One necessary step is determining the storage capacity needed for the server. Additionally, according to Article 39, EMRs must be stored for 25 years, requiring a prediction of storage needs over that period. This study discusses predicting the storage capacity needs for EMRs using the Least Square method, which analyzes time series data trends. Hospital data shows 130,712 medical records with a size of 261,424 MB from September 2022 to March 2023. The predicted storage needs from April to December 2023 are 781,490 MB, and for the next 25 years (until 2048) is 8,974,669 MB or 9 TB. The accuracy of the prediction, tested using MAPE, is 6.34%, which is considered very good. RSUP Nasional Dr. Cipto Mangunkusumo has provided 6 TB of server storage and 71 TB of NAS as backup. With 80 GB used per month as of March 2023, the hospital is advised to provide storage according to the prediction. Additionally, the maximum upload size in the HIS needs to be increased beyond 2 MB per medical record to maximize scanning quality and efficiency
Co-Authors Nuraini, Novita Rahagiyanto, Angga