Human Blood Grup and Rhesus Detection Tool Prototype Design Based On IoT

Trisiani Dewi Hendrawati, Politeknik Sukabumi, Indonesia
Inzaghi Hasanudin, Politeknik Sukabumi, Indonesia

Abstract


Currently, medical practitioners carry out blood type and rhesus examinations by directly observing the agglutination reaction and depending on the examiner's eye. Meanwhile, the effects of eye fatigue and saturation will cause inaccurate data. Therefore, a detection device was made which aims to display information about reading human blood type and rhesus on a digital display which can also store the data into a database. The ABO and rhesus systems were used in this study. This research was made using a real-time method based on the internet of things (IoT). sending data in real-time using WiFi Module ESP-01 and other components such as LCD microcontroller, LDR, LED, battery, and Arduino Uno. based on the results of tool testing, the percentage of success values is  91.67%.


Keywords


lood group, ABO system, rhesus system, ESP-01, Internet of Things

Full Text:

PDF

References


S. M. R. Islam, D. Kwak, M. H. Kabir, M. Hossain, and K. S. Kwak, “The internet of things for health care: A comprehensive survey,” IEEE Access, vol. 3, pp. 678–708, 2015.

S. Ratna, “Sistem Monitoring Kesehatan Berbasis Internet Of Things (IoT),” Al Ulum J. Sains Dan Teknol., vol. 5, no. 2, p. 83, 2020.

A. C. Hermawan, I. Mubarokah, and F. Baskoro, “Blood Donor Matching Information Systems and Determining Tools for Blood Cluster and Human Rhesus Based on IoT,” International Joint Conference on Science and Engineering, vol. 196, pp. 102–106, 2020.

M. Mustaziri, & N. Sari, "Alat Pembaca Golongan Darah dengan Output Suara dan SMS", JUPITER (Jurnal Penelitian Ilmu Dan Teknologi Komputer), vol. 9, no.2, pp. 35–45, 2018.

N. K. Mulyantari, Laboratorium Pratransfusi Up Date. Bali, 2016.

W. M. Ridha, H. Priyatman, and F. T. Pontia, “Perancangan Pendeteksi Golongan Darah Berbasis Arduino Uno Dengan Sistem ABO”, Jurnal Jteuntan, vol. 1, no. 1, pp. 1–5, 2019.

A. A. Haqq, “Analisis Sikap Matematis Berdasarkan Golongan Darah”, Prosiding SNMPM II, pp. 202–210, 2018.

F. R. Julianto and Risfendra, “Pendeteksi Golongan Darah Otomatis Berbasis Mikrokontroller,” JTEV (Jurnal Teknik Elektro Danvokasional), vol. 06, no. 01, pp. 230–239, 2020.

D. Abdurahman, and A. H. Ginanjar, “Pengembangan Prototipe Alat Tes Golongan Darah Dengan Metode ABO Menggunakan Arduino Mega (Studi Kasus PMI Kabupaten Majalengka)", Jurnal J-Ensitec, vol. 06, no. 01, pp. 384–389, 2019.

H. G. Ghifari, D. Darlis, And A. Hartaman, “Pendeteksi Golongan Darah Manusia Berbasis Tensorflow menggunakan ESP32-CAM,” Elkomika J. Tek. Energi Elektr. Tek. Telekomun. Tek. Elektron., vol. 9, no. 2, p. 359, 2021.

N. Riskyapriliani, D. Darlis, and A. Hartaman, “Perancangan Pendeteksi Golongan Darah Dan Rhesus Berbasis tensorflow Menggunakan Esp32-cam,” eProceedings of Applied Science, vol. 7, no. 6, pp. 1–9, 2021.

A. Fatoni, D. D. Nugroho, and A. Irawan, “Rancang Bangun Alat Pembelajaran Microcontroller Berbasis Atmega 328 di Universitas Serang Raya,” PROSISKO (Jurna Pengembangan Riset dan Observasi SIstem Komputer, vol. 2, no. 1, 2015.




DOI: https://doi.org/10.21831/elinvo.v7i1.45057

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Elinvo (Electronics, Informatics, and Vocational Education)

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Our Journal indexed by:

ISSN 2477-2399 (online) || ISSN 2580-6424 (print)

View My Stats

Flag Counter