MONITORING ELDERLY HEART RATE BASED ON OXIMETER SENSORS
DOI:
https://doi.org/10.33480/jitk.v11i2.6970Kata Kunci:
android, elderly, heart rate, max30102, sensorAbstrak
Heart rate check is an important step in preventing heart attacks that is often not realized by the elderly. However, independent heart rate checks by the elderly have not utilized technology, especially Android. This study design a heart rate detector using the Max30102 Oximeter Sensor integrated with Android device from the elderly aged 60 to 75 years and displays the results of the heart rate per minute (BPM) along with normal or abnormal status on the Android application. The prototype method involves the stages of development, testing, and evaluation of the tool. The results of the study showed that this heart rate detector was able to provide data on heart rate per minute (BPM) that was accurate and easily accessible to the elderly, so that the elderly could check their health independently. The test results indicate a detection accuracy of 97% with a standard deviation of 1.19 BPM, which is higher compared to studies using the Max30100. Thus, this tool is expected to help increase the independence of the elderly in monitoring heart health and reduce the risk of heart attack through routine monitoring
Unduhan
Referensi
M. Aldi, A. Mochamad, R. Widiarto, and R. S. Kusumadiarti, “Health Monitoring System Dengan Indikator Suhu Tubuh , Detak Jantung Dan Saturasi Oksigen Berbasis Internet of Things ( IoT ),” vol. 7, no. 2, pp. 108–118, 2021.
D. Wahjudi, E. Sudaryanto, T. Suprayitno, and N. Darmawan, “Monitoring Level Kesehatan melalui Detak Jantung dan Kadar Oksigen dengan Internet of Things berbasis Android,” J. Electron. Electr. Power Appl., 2023.
A. A. Azari and M. I. Sururi, “Faktor-Faktor Yang Berhubungan Dengan Depresi Pada Lansia,” Med. J. Al Qodiri, vol. 6, no. 2, pp. 66–72, 2021, doi: 10.52264/jurnal_stikesalqodiri.v6i2.94.
A. Efendi et al., “IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing,” Heal. Sci. Reports, vol. 8, no. 3, Mar. 2025, doi: 10.1002/hsr2.70498.
D. A. Ryfai, N. Hidayat, and E. Santoso, “Klasifikasi Tingkat Resiko Serangan Penyakit Jantung Menggunakan Metode K-Nearest Neighbor,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 10, pp. 4701–4707, 2022, [Online]. Available: https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/11662
D. Pradana, M. Luthfi Alghifari, M. Farhan Juna, and D. Palaguna, “Klasifikasi Penyakit Jantung Menggunakan Metode Artificial Neural Network,” Indones. J. Data Sci., vol. 3, no. 2, pp. 55–60, Jul. 2022, doi: 10.56705/ijodas.v3i2.35.
R. Dhar, A. Kumar, and Subhradip Karmakar, “Smart wearable devices for real-time health monitoring,” Asian J. Med. Sci., vol. 14, no. 12, pp. 1–3, 2023, doi: 10.3126/ajms.v14i12.58664.
S. R. Sunarto, “Prototype Pengukur Detak Jantung, Saturasi Oksigen, Dan Suhu Tubuh Manusia Secara Portable,” J. Tek. dan Sci., vol. 3, no. 2, pp. 84–93, May 2024, doi: 10.56127/jts.v3i2.1535.
I. Rosima and U. Suwardoyo, “Monitoring Detak Jantung Berbasis Internet Of Things,” J. Sintaks Log., vol. 2, no. 3, pp. 17–22, Oct. 2022, doi: 10.31850/jsilog.v2i3.1847.
R. Arunachalam, G. Sunitha, S. K. Shukla, S. N. Pandey, S. Urooj, and S. Rawat, “A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach,” Knowl. Inf. Syst., vol. 65, no. 12, pp. 5561–5599, Dec. 2023, doi: 10.1007/s10115-023-01890-x.
S. Ashraf, S. P. Khattak, and M. T. Iqbal, “Design and Implementation of an Open-Source and Internet-of-Things-Based Health Monitoring System,” J. Low Power Electron. Appl., vol. 13, no. 4, 2023, doi: 10.3390/jlpea13040057.
F. Ferawati, D. Setiyadi, and E. Retnoningsih, “Self-Medication Application (Swamedikasi) Based on Mobile,” J. Mantik, vol. 5, no. 4, pp. 2430–2437, 2022, [Online]. Available: https://iocscience.org/ejournal/index.php/mantik/article/view/2001
J. Dian, F. D. Silalahi, and N. D. Setiawan, “A Heartbeat Monitoring System To Detect Internet Of Things-Based Heart Health Levels Using Android,” JUPITER (Jurnal Penelit. Ilmu dan Teknol. Komputer), vol. 13, no. 2, pp. 69–75, 2021, [Online]. Available: https://jurnal.polsri.ac.id/index.php/jupiter/article/view/3669
U. N. Hashim, L. Salahuddin, R. Rina, and R. Ikram, “The Design and Implementation of Mobile Heart Monitoring Applications using Wearable Heart Rate Sensor,” Int. J. Adv. Comput. Sci. Appl., vol. 12, no. 1, pp. 168–173, 2021, doi: 10.14569/IJACSA.2021.0120120.
M. I. Pure, A. Ma’arif, and A. Yudhana, “Alat Deteksi Detak Jantung Pada Atlet Maraton Menggunakan Raspberry Pi 3B,” JTEV (Jurnal Tek. Elektro dan Vokasional), vol. 7, no. 2, p. 282, 2021, doi: 10.24036/jtev.v7i2.113526.
M. K. M. Naeim, G. C. Chung, I. E. Lee, J. J. Tiang, and S. F. Tan, “A Mobile IoT-based Elderly Monitoring System for Senior Safety,” Int. J. Technol., vol. 14, no. 6, pp. 1185–1195, 2023, doi: 10.14716/ijtech.v14i6.6634.
C.-M. Rosca and A. Stancu, “Anomaly Detection in Elderly Health Monitoring via IoT for Timely Interventions,” Appl. Sci., vol. 15, no. 13, p. 7272, Jun. 2025, doi: 10.3390/app15137272.
Muthmainnah, D. B. Tabriawan, and I. Tazi, “Karakterisasi Sensor MAX30102 Sebagai Alat Ukur Detak Jantung dan Suhu Tubuh Berbasis Photoplethysmograph,” J. Pendidik. Mipa, vol. 12, no. 3, pp. 726–731, 2022, doi: 10.37630/jpm.v12i3.655.
I. G. T. Isa, M. I. Ammarullah, A. Efendi, Y. S. Nugroho, H. Nasrullah, and M. P. Sari, “Constructing an elderly health monitoring system using fuzzy rules and Internet of Things,” AIP Adv., vol. 14, no. 5, 2024, doi: 10.1063/5.0195107.
H. F. Jawad, A. Al-Askery, and A. H. Ali, “Design and Implementation of a Healthcare Monitoring System Based on LoRa,” J. Tech., vol. 4, no. 4, pp. 80–94, 2022, doi: 10.51173/jt.v4i4.792.
Muthmainnah and D. B. Tabriawan, “Prototipe Alat Ukur Detak Jantung Menggunakan Sensor MAX30102 Berbasis Internet of Things (IoT) ESP8266 dan Blynk,” JISKA (Jurnal Inform. Sunan Kalijaga), vol. 7, no. 3, pp. 163–176, 2022, doi: 10.14421/jiska.2022.7.3.163-176.
M. U. Jannah, A. C. Nur’aidha, and D. Y. H. Kumarajati, “Sistem Deteksi Detak Jantung Berbasis Sensor Max30102, Arduino Uno, Dan Oled Display Untuk Pemantauan Detak Jantung Secara Real-Time,” J. Inform. dan Tek. Elektro Terap., vol. 12, no. 3, 2024, doi: 10.23960/jitet.v12i3.4528.
F. A. Pratama, A. I. Pradana, and D. Hartanti, “Pengembangan Aplikasi Mobile Untuk Monitoring Detak Jantung, Saturasi Oksigen Darah, Dan Suhu Tubuh Dengan Integrasi Iot Menggunakan Esp32,” Infotech J. Technol. Inf., vol. 10, no. 1, pp. 27–36, Jun. 2024, doi: 10.37365/jti.v10i1.244.
T. A. D. P. Subianto, J. Wiratama, and F. A. Halim, “The Development of web-based Cashier and Inventory Information Systems using Prototyping Model on Micro, Small, and Medium Enterprise (MSMEs) in Indonesia,” JOINS (Journal Inf. Syst., vol. 8, no. 1, pp. 80–89, 2023, doi: 10.33633/joins.v8i1.7983.
I. D. G. H. Wisana, P. C. Nugraha, Ma’murotun, and F. Amrinsani, “The Monitoring of Oxygen Saturation and Heart Rate Using a Telemedicine Smartphone System (TMSS) as a New Innovation in the Health Sector,” J. Biomimetics, Biomater. Biomed. Eng., vol. 55, pp. 250–261, 2022, doi: 10.4028/p-9h27p5.
N. Q. Maclean and T. O. Egerton, “Automated Health Monitoring System for the Elderly using Internet of Things,” Int. J. Comput. Sci. Eng., vol. 11, no. 6, pp. 37–44, Jun. 2023, doi: 10.26438/ijcse/v11i6.3744.
Z. El Khoury, A. E. L. Karkafi, A. Choucair, R. A. Z. Daou, and J. J. S. Olmedo, “Design and Implementation of a Smart Health Monitoring Device using a Wearable Vest,” in 2022 International Conference on Smart Systems and Power Management, IC2SPM 2022, 2022, pp. 6–10. doi: 10.1109/IC2SPM56638.2022.9988903.
C. D. Saputra and A. Yudhana, “Android-based heart rate and blood oxygen level monitoring system (oximeter),” Signal Image Process. Lett., vol. 3, no. 1, pp. 21–26, 2021, doi: https://doi.org/10.31763/simple.v3i1.34.
S. D. Machado, J. E. da R. Tavares, and J. L. V. Barbosa, “Technologies for monitoring patients with Alzheimer’s disease: A systematic mapping study and taxonomy,” J. Ambient Intell. Smart Environ., vol. 16, no. 1, pp. 3–22, 2023, doi: doi.org/10.3233/AIS-220.
I. M. A. A. Dwipayana, I. N. Pramaita, and W. Setiawan, “Rancang Bangun Pengukur Jumlah Denyut Jantung, Kadar Oksigen Dalam Darah Dan Suhu Tubuh Berbasis Internet Of Things (IoT),” J. Ilm. Tek. Desain Mek., vol. 11, no. 4, pp. 1910–1917, 2022, [Online]. Available: https://ojs.unud.ac.id/index.php/mekanika/article/view/97254
##submission.downloads##
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2025 Endang Retnoningsih, Syahbaniar Rofiah, Sendi Rifa Arofah
Artikel ini berlisensi Creative Commons Attribution-NonCommercial 4.0 International License.
-a.jpg)
-b.jpg)
