Aplikasi IoT Pemantauan Detak Jantung Pasien Lansia Beresiko Tinggi di RSCM Cut Mutia Lhokseumawe Berbasis Mobile

Authors

DOI:

https://doi.org/10.33379/gtech.v7i1.1979

Keywords:

IoT, Detak Jantung, Lansia, Algoritma Genetika

Abstract

Monitoring the health of the elderly is very necessary, this monitoring must be carried out periodically and in real time using a genetic algorithm, so as to increase the guarantee of the safety and welfare of the elderly population and can be a preventive action to anticipate things that you want to avoid. However, sometimes the distance between the patient and RSCM Cut Mutia Lhokseumawe is quite far, and handlers are not responsive enough to make it difficult for elderly families to receive early treatment. The method for creating an IoT application for monitoring elderly heart rate using the waterfall method, for a decision-making system for high-risk patient systems using a Genetic Algorithm. The expected result of this application is remote monitoring with rapid response in the form of an IoT Heartbeat tool that is used in the elderly, so that if elderly patients experience heart failure, the system will quickly respond to receive messages about what is felt by the elderly, through the IoT style used elderly and decision making system using a genetic algorithm

References

¬¬¬Abdullah, Dahlan. “Perancangan Sistem Informasi Pendataan Siswa SMP Islam Swasta Darul Yatama Berbasis Web”. IJNS. Vol 4(1). Pp 39-44. 2015.

Arifin, D., Alafgani, I. S., Silaban, C., Marlinda, L., & Hayuningtyas,, R. Y. (2020). SISTEM INFORMASI PEMANTAUAN KESEHATAN LANSIA. Journal of Information System, Applied, Management, Accounting and Researh, 167-172.

Chasanah, D. N., Handayani, A. N., & Zaeni, I. E. (2018). Pemantauan Kesehatan Pada Lanjut Usia Berbasis Mikrokontroler. Prosiding Seminar Nasional Teknologi Elektro Terapan, 123-128. Chamdan Purnama. (2016). SISTEM INFORMASI MANAJEMEN. Mojokerto: Insan Global.

Hardiansah, & Suryono, S. (2020). PANDUAN PRAKTIS MEMBUAT APLIKASI ANDROID DENGAN ANDROID STUDIO (KOTLIN). Yokyakarta: PT. Louwba Techno Indonesia. Herliana1,, A., & Rasyid, P. M. (2016). SISTEM INFORMASI MONITORING PENGEMBANGAN SOFTWARE PADA TAHAP DEVELOPMENT BERBASIS WEB. Jurnal Informatika,, 41-50.

Hendini, A. (2016). PEMODELAN UML SISTEM INFORMASI MONITORING PENJUALAN DAN STOK BARANG . JURNAL KHATULISTIWA INFORMATIKA,, 107-116.

Hermawanto, D. (2017). Algoritma Genetika dan Contoh Aplikasinya. Komunitas eLearning IlmuKomputer.Com, 1-10.

Ratna, S. (2020). SISTEM MONITORING KESEHATAN BERBASIS

INTERNET OF THINGS (IoT). Al Ulum Sains dan Teknologi, 83 87.

Setiawan, D., Putri, R. N., & Suryanita, R. (2019). IMPLEMENTASI

ALGORITMA GENETIKA UNTUK PREDIKSI PENYAKIT. Jurnal

Teknologi dan Sistem Informasi Univrab, 8-16.

Sutedja, I., Bahana, R., & Manuaba, I. K. (2020). PERANCANGAN APLIKASI MOBILE PERTOLONGAN PERTAMA UNTUK KEAMANAN DAN KESELAMATAN LANSIA. SEBATIK, 568-573.

Ulva, Ananda Faridhatul., Angga Pratama., Yunia Silfitri. “Sistem Pusat Informasi SPASI Berbasis Android Studi Kasus Program Studi Sistem Informasi Universitas Malikussaleh”. JURNAL TIKA. Vol 6 (3). Pp 291-304. 2021.

Ulva, Ananda Faridhatul.,Mochamad Ari Saptari, M. Taufiq Hariadi. “Perbandingan Algoritma Flyod dan Washal Menentukan Jarak Terdekat Aplikasi Pencarian Pemesanan Rumah Sewa Berbasis Mobile”. JURNAL TIKA. Vol 7 (1). Pp 19-31. 2022.

Published

2023-01-05

How to Cite

Aplikasi IoT Pemantauan Detak Jantung Pasien Lansia Beresiko Tinggi di RSCM Cut Mutia Lhokseumawe Berbasis Mobile. (2023). G-Tech: Jurnal Teknologi Terapan, 7(1), 237-246. https://doi.org/10.33379/gtech.v7i1.1979

Most read articles by the same author(s)