SISTEM MONITORING KESEHATAN JANTUNG IOT MENGGUNAKAN SENSOR MAX30100, NODEMCU ESP8266, DAN BLYNK
DOI:
https://doi.org/10.31000/jika.v9i3.14441Abstrak
Secara global, penyakit jantung masih menjadi tantangan utama dalam bidang kesehatan, dengan lebih dari 64 juta penderita secara global dan prevalensinya sebesar 5% di Indonesia. Pemantauan denyut jantung dan kadar oksigen secara terus-menerus sangat penting untuk mendeteksi gangguan jantung sejak dini. Namun, metode konvensional seringkali kurang efisien, terutama bagi pasien yang tinggal di daerah terpencil. Sistem yang dikembangkan dalam penelitian ini memanfaatkan teknologi IoT, yaitu sensor MAX30100 dan NodeMCU ESP8266, untuk menghubungkan kesehatan jantung secara real-time melalui platform Blynk . Penelitian ini menerapkan metode pengembangan sistem air terjun , yang meliputi tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, hingga pemeliharaan. Sensor MAX30100 berfungsi untuk mendeteksi detak jantung dan kadar oksigen dalam darah secara non-invasif, sedangkan NodeMCU ESP8266 digunakan untuk memproses serta mengirimkan data tersebut ke aplikasi Blynk secara realtime . Pengujian dilakukan pada 25 peserta berusia 4 hingga 68 tahun, dan hasilnya dibandingkan dengan oksimeter standar. Sistem menunjukkan tingkat akurasi tinggi, dengan akurasi detak jantung sebesar 96,76% dan saturasi oksigen 98,41%. Meskipun data ditampilkan secara realtime di aplikasi Blynk , terdapat sedikit jeda pada beberapa kondisi. Sistem ini memberikan solusi efektif untuk pemantauan jarak jauh oleh pasien dan tenaga medis. Pengembangan selanjutnya dapat mencakup fitur penyimpanan data dan integrasi sensor tambahan.Referensi
Afandy, M., Rianto, M. I., & Putra, M. F. (2025). Sistem Monitoring Denyut Jantung dan Saturasi Oksigen Berbasis Bluetooth HC-05 Berbasis IoT. Jambura Journal of Electrical and Electronics Engineering, 7(1), 48–54.
Anggraeni, D. T., Rosaline, M. D., Florensia, L., Noor’aini, B. G., Setyoko, S. A., Israfil, M., Balqis, A., & Sandra, R. A. (2025). Pemberdayaan Kader Kesehatan melalui Program “Oke Heart†sebagai Upaya Deteksi Dini dan Pencegahan Gagal Jantung di Kecamatan Limo, Depok. Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM), 8(2), 982–994. https://doi.org/10.33024/jkpm.v8i2.17692
Effendi, N., Ramadhani, W., Farida, F., & Dimas, M. (2022). Perancangan Sistem Penyiraman Tanaman Otomatis Menggunakan Sensor Kelembapan Tanah Berbasis IoT. Jurnal CoSciTech (Computer Science and Information Technology), 3(2), 91–98. https://doi.org/10.37859/coscitech.v3i2.3923
Hafiz, M., & Candra, O. (2021). Perancangan Sistem Pendeteksi Kebakaran Berbasis Mikrokontroller dan Aplikasi Map dengan Menggunakan IoT. JTEV (Jurnal Teknik Elektro Dan Vokasional), 7(1), 53. https://doi.org/10.24036/jtev.v7i1.111420
Hartanto, S., & Ferosa, I. (2024). SIMULASI RANCANG BANGUN MONITORING PEMAKAIAN AIR PDAM DI GEDUNG BERTINGKAT MENGGUNAKAN NODEMCU ESP8266 BERBASIS IOT. Jurnal Elektro, 12(1), 80–89.
Ikwan, & Djaksana, Y. M. (2020). PERANCANGAN SISTEM MONITORING DAN KONTROLING PENGGUNAAN DAYA LISTRIK BERBASIS ANDROID. Jurnal Sistem Informasi Dan Teknologi Informasi, 2(3), 13–24.
Inayatullah, Y., Ginting, A. H., & Doo, S. Y. (2024). Rancang Bangun Sistem Monitoring Detak Jantung Dan Saturasi Oksigen Menggunakan Oximeter Max30102. Jurnal Teknik Elektro, 1(2), 53.
Kemalasari, & Rochmad, M. (2022). DETEKSI KADAR SATURASI OKSIGEN DARAH (SpO2) DAN DETAK JANTUNG SECARA NON-INVASIF DENGAN SENSOR CHIP MAX30100. Jurnal Nasional Teknologi Terapan (JNTT), 4(1), 35–50. https://doi.org/10.22146/jntt.v4i1.4804
Pratama, R. A., Bangsa, I. A., & Rahmadewi, R. (2021). Implementasi Sensor Detak Jantung MAX30100 dan Sensor Konduktansi Kulit GSR menggunakan Mikrokontroller Arduino Pada Alat Pendeteksi Tingkat Stress. Jurnal Ilmiah Wahana Pendidikan, 7(1), 161–168.
Ramadhan, I. W., Firdaus, & Adinandra, S. (2024). Penerapan IoT dalam Sistem Monitoring Kesehatan: Inovasi dan Implementasi Implementation of IoT in Health Monitoring Systems: Innovation and Implementation. Techno.COM, 23(4), 763.
Revadiaz, E., Fatkhurrokhman, M., & Aribowo, D. (2022). Prototype Automated Manipulator Robot Menggunakan Mikrokontroler NodeMCU ESP8266 Berbasis Internet of Things (IoT). JTEV (Jurnal Teknik Elektro Dan Vokasional), 8(2), 439–450. https://doi.org/10.24036/jtev.v8i2.117682
Rohadiat, R., & Fitriyani. (2023). IMPLEMENTASI SISTEM MONITORING DAN CONTROLLING SUHU OTOMATIS DI PT. KEBERLANJUTAN STRATEGIS INDONESIA. JURNAL RESPONSIF, 5(2), 425–433. https://ejurnal.ars.ac.id/index.php/jti
Setyowati, A. F., Wardani, P. S., Putri, E. R., P, S. R., Putri, Su., & Eko, Y. R. (2024). Pengolahan Citra Digital EKG Rumah Sakit Tk. IV Samarinda. Progressive Physics Journal, 5(1), 343–349. http://jurnal.fmipa.unmul.ac.id/index.php/ppj/indexHalaman|343
Sunarto, S. R., Situmeang, A., & Kristianti, V. E. (2024). PROTOTYPE PENGUKUR DETAK JANTUNG, SATURASI OKSIGEN, DAN SUHU TUBUH MANUSIA SECARA PORTABLE. Jurnal Teknik Dan Science, 3(2), 84–93.
Supiyandi, Zen, M., Rizal, C., & Eka, M. (2022). Perancangan Sistem Informasi Desa Tomuan Holbung Menggunakan Metode Waterfall. JURIKOM (Jurnal Riset Komputer), 9(2), 274. https://doi.org/10.30865/jurikom.v9i2.3986
Tampubolon, L. F., Ginting, A., & Turnip, F. E. S. (2023). GAMBARAN FAKTOR YANG MEMPENGARUHI KEJADIAN PENYAKIT JANTUNG KORONER (PJK) DI PUSAT JANTUNG TERPADU (PJT). Jurnal Ilmiah STIKES Kendal, 13(3), 1043–1052. http://journal.stikeskendal.ac.id/index.php/PSKM
Yulianti, B., & Prakoso, I. (2023). Rancang Bangun Pulse Oximeter Menggunakan Aplikasi Blynk. Jurnal Teknologi Industri, 12(1), 14–20.
Unduhan
Diterbitkan
Terbitan
Bagian
Lisensi
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with International Journal of Advances in Intelligent Informatics agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.Â
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
International Journal of Advances in Intelligent Informatics use a variety of waivers and licenses, that are specifically designed for and appropriate for the treatment of data:
Open Data Commons Attribution License, http://www.opendatacommons.org/licenses/by/1.0/ (default)
Creative Commons CC-Zero Waiver, http://creativecommons.org/publicdomain/zero/1.0/
Open Data Commons Public Domain Dedication and Licence, http://www.opendatacommons.org/licenses/pddl/1-0/
Other data publishing licenses may be allowed as exceptions (subject to approval by the editor on a case-by-case basis) and should be justified with a written statement from the author, which will be published with the article.
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.