Rancang Bangun Pendeteksi Penyakit Jantung menggunakan Teknik Algoritma Fuzzy Logic berbasis IoT

Authors

  • Irma Salamah Program Studi Sarjana Terapan Teknik Telekomunikasi, Politeknik Negeri Sriwijaya
  • Syafa Naura Afifa Program Studi Sarjana Terapan Teknik Telekomunikasi, Politeknik Negeri Sriwijaya http://orcid.org/0000-0003-0583-1439
  • Emilia Hesti Program Studi Sarjana Terapan Teknik Telekomunikasi, Politeknik Negeri Sriwijaya

DOI:

https://doi.org/10.29408/edumatic.v6i2.6164

Keywords:

Heart Rate, IoT, Android, Nodemcu

Abstract

Heart rate is a health indicator that has the advantage of assessing or knowing a person's health quickly. It is useful as the first diagnosis of the presence or absence of heart disorders. By building an IoT (Internet of Things) based heart rate monitoring system, it is hoped that it can be monitored, and through Android can check the heart rate. An IoT system is an idea that can expand and utilize a relationship that is connected continuously. Where IoT can monitor a person's condition so that a person's condition remains monitored 24 hours. This study aims to design a heart disease detector using an iot-based fuzzy logic algorithm technique. The method used to design this tool is the waterfall method. In the design of an IoT-based heart rate tool, it can directly find out the heart rate experienced by high, low, or normal and automatically there are already recommendations for exercise and food according to the heart rate. Testing this tool uses hardware consisting of a max30100 sensor, nodeMCU, and an android application as an interface. The results of this study show that the tool created has an error percentage between 0.1% to 6.2%, and all data from the heart rate tool results are directly sent to the Android application in real-time based on the available Internet network connection.

References

Akbar, T., & Gunawan, I. (2020). Prototype Sistem Monitoring Infus Berbasis IoT (Internet Of Things). Edumatic: Jurnal Pendidikan Informatika, 4(2), 155–163. https://doi.org/10.29408/edumatic.v4i2.2686

Akbar, T., Gunawan, I., & Utama, S. (2020). Prototype System of Temperature and Humadity Automatic in Oyster Mushroom Cultivation using Arduino Uno. Journal of Physics: Conference Series, 1539(1), 1–7. https://doi.org/10.1088/1742-6596/1539/1/012036

Ardian, H., Triyanto, D., & Rismawan, T. (2017). Sistem kendali lampu dan steker terintegrasi menggunakan mikrokontroler berbasis web service 1,2,3. Jurnal Coding Sistem Komputer Untan, 5(3), 40–47.

Dian, J., Silalahi, F. D., & Setiawan, N. D. (2021). Sistem Monitoring Detak Jantung untuk Mendeteksi Tingkat Kesehatan Jantung berbasis Internet of Things menggunakan Android. JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer), 13(2), 69-75.

Fadhila, R., & Afriani, T. (2019). Penerapan Telenursing Dalam Pelayanan Kesehatan : Literature Review. Jurnal Keperawatan Abdurrab, 3(2), 77–84. https://doi.org/10.36341/jka.v3i2.837

Gunawan, G., & Fatimah, T. (2020). Implementasi Sistem Pengaturan Suhu Ruang Server Menggunakan Sensor DHT11 dan Sensor PIR Berbasis Mikrokontroler. Edumatic: Jurnal Pendidikan Informatika, 4(1), 101–110. https://doi.org/10.29408/edumatic.v4i1.2165

Hutabarat, N. K., Hulu, D. R., & Laia, Y. (2019). Deteksi Detak Jantung Berbasis Web. Jurnal Sistem Informasi Dan Ilmu Komputer Prima(JUSIKOM PRIMA), 3(1), 13–16. https://doi.org/10.34012/jusikom.v3i1.554

Ilham, D. N., Hardisal, H., Balkhaya, B., Candra, R. A., & Sipahutar, E. (2019). Heart Rate Monitoring and Stimulation with the Internet of Thing-Based (IoT) Alquran Recitation. SinkrOn, 4(1), 221-225. https://doi.org/10.33395/sinkron.v4i1.10392

Mluyati, S., & Sadi, S. (2019). Internet Of Things (IoT) Pada Prototipe Pendeteksi Kebocoran Gas Berbasis MQ-2 Dan SIM800L. Jurnal Teknik, 7(2), 64-72. https://doi.org/10.31000/jt.v7i2.1358

Muhaemin, M., & Prasetyo, T. F. (2019, October). Pengembangan Prototipe E-Health Pasien Terintegrasi Dengan Arduino Uno R3. In SEMINAR TEKNOLOGI MAJALENGKA (STIMA), 4, 46-52. https://prosiding.unma.ac.id/index.php/stima/article/view/237

Naufal, H. (2018). Sistem Pakar Menu Makanan Sehat untuk Terapi Penyakit Jantung dan Kardiovaskular Menggunakan Metode Certainty Factor. [Skripsi, Universitas Islam Indonesia]. https://dspace.uii.ac.id/handle/123456789/11296

Pratama, L. A., Primawati, A., & Ariyani, L. (2019). Perancangan Sistem Informasi Sirkulasi Buku Pada Perpustakaan SMP Negeri 103 Jakarta. STRING (Satuan Tulisan Riset Dan Inovasi Teknologi), 4(2), 227-234. https://doi.org/10.30998/string.v4i2.4179

Prayitno, B. (2019). Prototipe Sistem Monitoring Penggunaan Daya Listrik Peralatan Elektronik Rumah Tangga Berbasis Internet of Things. Petir, 12(1), 72–80. https://doi.org/10.33322/petir.v12i1.333

Ramadhan, A. S. (2021). Rancang Bangun Monitoring Detak Jantung (Heart Rate) Sebagai Indikator Kesehatan Berbasis Internet of Things (Iot). Jurnal Mahasiswa, 1(3), 1–8.

Fikriana, R., & Afik, A. (2017). Efektifitas Peer Health Education Terhadap Peningkatan Pengetahuan Masalah Kesehatan Jantung. Research Report, 25-35. http://research-report.umm.ac.id/index.php/research-report/article/view/1187

Santoso, S. S., & Andriyani, A. (2017). Analisis Pelaksanaan Medical Check Up (MCU) pada Pegawai Rumah Sakit Islam Jakarta Pondok Kopi Tahun 2016. Jurnal Kedokteran Dan Kesehatan, 13(2), 171-182. https://doi.org/10.24853/jkk.13.2.171-182

Susilo, M. (2018). Rancang Bangun Website Toko Online Menggunakan Metode Waterfall. InfoTekJar (Jurnal Nasional Informatika Dan Teknologi Jaringan), 2(2), 98–105. https://doi.org/10.30743/infotekjar.v2i2.171

Tias, R. F., & Hidayat, M. M. (2018). Analisis dan Desain SiBIOS: Deteksi Dini Kondisi Jantung dan Peningkatan Kualitas Hidup Manusia. Techno.Com, 17(3), 312–322. https://doi.org/10.33633/tc.v17i3.1814

Tristianto, C. (2018). Penggunaan Metode Waterfall Untuk Pengembangan Sistem Monitoring Dan Evaluasi Pembangunan Pedesaan. Jurnal Teknologi Informasi ESIT, XII(01), 7–21.

Widianto, E. D., Zaituun, Y. W., & Windasari, I. P. (2018). Aplikasi Sistem Pakar Pendeteksi Penyakit Tuberkulosis Berbasis Android. Khazanah Informatika: Jurnal Ilmu Komputer Dan Informatika, 4(1), 47-54. https://doi.org/10.23917/khif.v4i1.5496

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Published

2022-12-20