Analisis Kenerja Mikrokontroler dalam Sistem Data Paisen di Rumah Sakit Umum Kisaran
DOI:
https://doi.org/10.59841/saber.v3i1.2231Keywords:
Microcontroller, Patient, Data, System, HospitalAbstract
Microcontrollers play a vital role in managing patient data systems within hospital environments, including at Kisaran General Hospital. A microcontroller-based data management system facilitates the automation of patient data recording and processing in real time, enhancing both accuracy and efficiency. This study aims to analyze the performance of microcontrollers in a patient data system by evaluating parameters such as processing speed, data accuracy, and system stability. The implementation involves an Arduino Uno microcontroller integrated with sensors and data processing software. Experimental results demonstrate the system's ability to process patient data quickly and accurately, contributing to the operational efficiency of the hospital. These findings highlight the potential of microcontroller technology as a modern solution for patient data management in healthcare settings.
References
Aditiya, F., & Mesran. (2022). Sistem pendukung keputusan pemilihan calon peserta cerdas cermat tingkat SMA menerapkan metode ROC dan WP. Jurnal Riset Teknik Informatika dan Data Science, 1(1), 14–20.
Apriliana, M., & Nurcahyo, G. W. (2020). Akurasi bantuan stimulan perumahan swadaya (BSPS) terhadap RTLH menggunakan metode weighted product. Jurnal Informatika Ekonomi Bisnis, 3(1), 9–11. https://doi.org/10.37034/infeb.v3i1.71
Budihartanti, C., Dewi, Y. N., & Purnamasari, I. (2020). Sistem pendukung keputusan seleksi penerimaan karyawan baru menggunakan metode weighted product (WP). JISAMAR (Journal of Information System, Applied, Management, Accounting and Research), 4(4), 71–77.
Ginting, T. N., & Syahrizal, M. (2022). Implementasi metode ARAS pada sistem pendukung keputusan rekomendasi penerimaan karyawan. TIN: Terapan Informatika Nusantara, 3(5), 193–204. https://doi.org/10.47065/tin.v3i5.4113
Hidaya, I., & Nasution, F. P. (2023). Penerapan metode ARAS untuk rekomendasi produk wallpaper pada PT. Adanusa Udhaya Utama. Jurnal JUREKSI (Jurnal Rekayasa Sistem), 1(1), 30–40.
Hidayati, F. M., Ashari, M., & Zaen, M. T. A. (2022). Sistem pendukung keputusan seleksi calon karyawan toko sentral buah murah menggunakan metode ARAS. Jurnal Rekayasa Teknologi Informasi dan Komputer, 2(2), 57–67.
Hutagalung, J., Anwar, B., & Santoso, I. (2022). Implementasi metode additive ratio assessment (ARAS) untuk menentukan siswa terbaik. Techno.Com, 21(3), 462–474. https://doi.org/10.33633/tc.v21i3.6148
Ndruru, R. K. (2020). Penerapan metode additive ratio assessment (ARAS) dan rank order centroid (ROC) dalam pemilihan jaksa terbaik pada Kejaksaan Negeri Medan. Sainteks, 1(1), 367–372.
Sri Mulia Mz., & Fitrianto Rahmad, I. (2023). Metode additive ratio assessment (ARAS) untuk sistem pendukung keputusan dalam penerimaan karyawan tetap. Information System and Data Science (InSeDS), 2(1), 40–49. https://doi.org/10.59840/inseds.v2i1.210
Susanto, Ningrum, S., & Cahyono, Y. (2024). Perbandingan metode ARAS dan MOORA dalam seleksi penerimaan pegawai baru non ASN. Jurnal Sistem Komputer dan Informatika (JSON), 5(3), 549–558. https://doi.org/10.30865/json.v5i3.7449
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.