Purwarupa Smart Inhaler untuk Terapi Penyakit Paru Obstruktif Kronis (PPOK) Berbasis ESP32 dan Sensor Efek Hall
Keywords:
smart inhaler, ESP32, sensor efek Hall, IoT, Blynk, terapiAbstract
Tingkat kepatuhan pasien dalam penggunaan inhaler masih menjadi tantangan dalam terapi penyakit paru obstruktif kronis (PPOK). Minimnya pemantauan dan sistem pengingat berkontribusi terhadap rendahnya efektivitas terapi inhalasi. Penelitian inimerancang purwarupa smart inhaler berbasis mikrokontroler ESP32 dan sensor efek Hall untuk mendeteksi aktuasi inhaler pada pasien Penyakit Paru Obstruktif Kronis (PPOK). Data penggunaan dikirimkan ke platform Blynk untuk ditampilkan secara real-time serta memberikan notifikasi jika pasien melewatkan jadwal terapi. Sistem ini didukung baterai Lithium-Polymer dengan modul charger TP4056 untuk mobilitas. Metode penelitian meliputi perancangan perangkat keras, pemrograman firmware ESP32 dengan integrasi IoT, dan pengujian fungsionalitas alat. Hasil rancangan menunjukkan bahwa sistem mampu mendeteksi aktivitas inhaler secara akurat dan mengirimkan data ke aplikasi pemantauan. Kesimpulannya, smart inhaler ini berpotensi meningkatkan kepatuhan pasien dalam terapi PPOK serta mempermudah pemantauan oleh tenaga medis.
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References
World Health Organization, " Chronic obstructive pulmonary disease (COPD)," WHO, 2023. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/chronic-obstructive-pulmonary-disease-(copd). [Accessed 14 April 2025].
Kemenkes, "Ayo Sehat Kemenkes," Kementrian Kesehatan, 9 Agustus 2018. [Online]. Available: https://ayosehat.kemkes.go.id/pedoman-umum-pengelolaan-posyandu. [Accessed 3 6 2025].
R.D. Restrepo, M. T. Alvarez, L. D. Wittnebel, H. Sorenso, R. Wettstein,et al. , "Medication adherence in chronic obstructive pulmonary disease patients," International Journal of COPD, vol. 3, no. 3, pp. 371-384, 2008.
C. Yin, Y. Luo, K. Shen, G. Mao, dan F. Tang, "Investigating influencing factors of medication adherence to inhalers in COPD patients: A study based on the Anderson model," vol. 1, 2024.
A. Nayan, A. Dey, K. A. Haque, dan M. G. Kibria, "IoT Based Smart Inhaler for Context-Aware Service Provisioning," in in Proc. 2nd International Conference on Advanced Information and Communication Technology (ICAICT), Dhaka, Bangladesh, 2020.
A. H. Y. Chan et al., "Digital Inhalers for Asthma or Chronic Obstructive Pulmonary Disease," Drugs & Therapy Perspectives, vol. 37, no. -, p. 223–229, 2021.
G. Greene, R. W. Costello, "Personalizing medicine - could the smart inhaler," Expert Opinion On Drug Delivery, vol. 16, no. 7, pp. 675-677, 2019.
S. J. van de Hei, J. A. M. Rikkers-Mutsaerts, R. M. van den Wijngaart, et al., "Effectiveness, usability and acceptability of a smart inhaler programme in patients with asthma: protocol of the multicentre, pragmatic, open-label, cluster randomised controlled ACCEPTANCE trial," BMJ Open Respiratory Research, vol. 9, no. 1, 2022.
Espressif Systems, ESP32 Technical Reference Manual, Espressif, 2022.
M. Egerer, A. Ristolainen, L. Piho, L. Vihman, dan M. Kruusmaa, "Hall Effect Sensor-Based Low-Cost Flow Monitoring Device: Design and Validation," IEEE SENSORS JOURNAL, 2024.
Blynk Inc., "Introduction to Blynk," Blynk Inc., 2023. [Online]. Available: https://docs.blynk.io/en. [Accessed 14 April 2025].
