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All Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Aisyah : Jurnal Ilmu Kesehatan J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Journal of Community Development BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Jurnal Rekam Medik & Manajemen Informasi Kesehatan (RAMMIK) PEKAT : Jurnal Pengabdian Kepada Masyarakat Health & Medical Sciences Manajemen Pelayanan Kesehatan
Angga Rahagiyanto
Politeknik Negeri Jember
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Analisis Prediksi Kebutuhan Kapasitas Media Penyimpanan RME dengan Metode Least Square RSUPN Dr. Cipto Mangunkusumo Jakarta Savira Puteri Wulandari; Angga Rahagiyanto; Novita Nuraini
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 Adinda Zulaikha Andri Permana Wicaksono Arga Kanya Dhanastra Arya Yuniar Putra Pratama Atma Deharja Atma Deharja Bakhtiyar Hadi Prakoso Dina Fitriyah dony setiawan hendyca putra Dwi Lestari Efri Tri Ardianti Erna Selviyanti Fahrezi Ahmad Dewanto Gamasiano Alfiansyah Gandu Eko Julianto Suyoso Indah Muflihatin Kurnia Candra Septianingrum Kusuma Ayu Ningrum Lukman Bahar Agung Pambudi Maya Weka Santi Meiranda Normarisa Azis Mochammad Choirur Roziqin Mudafiq Riyan Pratama Muhammad Yunus Niyalatul Muna Novita Nuraini Rachmawati, Ervina Rania Ramadhani Sofyan Rizqiyah Putri Qoriatul Alifa Rossalina Adi Wijayanti Sabran Sabran Sakinah Salsabila Savira Puteri Wulandari Selvia Juwita Swari Selvia Juwita Swari Suci Apriani Ayudi Sugeng Hartanto Suharianto Surya Dewi Puspita Sysilia Mahendra Ainunnisa Tria Tita Putri Fatchiah Veronika Vestine Wahyu Triana