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SISTEM MONITORING SINYAL JANTUNG PQRST BERBASIS IOT

Yusuf, Allan (2024) SISTEM MONITORING SINYAL JANTUNG PQRST BERBASIS IOT. S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.

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Abstract

Heart disease is one of the leading causes of death in Indonesia, accounting for 45% of total mortality. Heart signal Monitoring devices like EKG are generally available in hospitals and require a substantial cost for each examination, making them less accessible to the wider community for routine check-ups. Therefore, the development of IoT-based EKG sistems is crucial to provide convenience for individuals to conduct heart signal examinations independently and more economically. This study aims to develop and test a heart signal and BPM Monitoring system using the AD8232 sensor integrated with IoT technology. The system comprises several key components: the AD8232 module for detecting heart signals, ESP8266 for data transmission, LCD TFT ILI9341 for data display, and the Thinger.IO platform for remote Monitoring. This sistem is designed to facilitate users in real-time Monitoring of their heart condition without the need to visit a hospital. The study involved 5 respondents aged 17-57 years, both male and female. The data obtained from each respondent were analyzed to determine the accuracy of the sistem in Monitoring heart signals and calculating BPM. The experimental results showed that the BPM values and measurements using an oximeter had an error rate of 1.1028% per experiment. This error rate indicates that the developed sistem has a high accuracy in reading heart signals and BPM. Additionally, the heart signal and BPM Monitoring sistem successfully read and monitored heart rates within a safe range according to normal heart rate values. This indicates that the sistem can be relied upon for daily use by the general public in Monitoring their heart conditions. Thus, this study significantly contributes to the development of more affordable and accessible IoT-based health technology for the wider community.

Item Type: Thesis (S1)
Contributors:
ContributionContributorsNIP/NIM
Thesis advisorAlfanz, Rocky198103282010121001
Thesis advisorMuhammad, Fadil199104172019031013
Additional Information: Penyakit jantung merupakan salah satu penyebab utama kematian di Indonesia, dengan kontribusi sebesar 45% dari total angka kematian. Alat pemantau sinyal jantung seperti elektrokardiogram umumnya tersedia di rumah sakit dan memerlukan biaya pemeriksaan yang cukup tinggi, sehingga tidak mudah diakses oleh masyarakat luas untuk pemeriksaan rutin. Oleh karena itu, pengembangan sistem elektrokardiogram berbasis Internet of Things menjadi sangat penting untuk memberikan kemudahan dalam melakukan pemeriksaan sinyal jantung secara mandiri dan lebih ekonomis. Penelitian ini bertujuan untuk mengembangkan dan menguji sistem monitoring sinyal jantung dan BPM (Beat Per Minutes) menggunakan sensor AD8232 yang terintegrasi dengan teknologi Internet of Things. Sistem ini terdiri dari beberapa komponen utama, yaitu modul AD8232 untuk mendeteksi sinyal jantung, ESP8266 untuk transmisi data, dan LCD TFT ILI9341 untuk tampilan data, serta platform Thinger.io untuk pemantauan jarak jauh. Sistem ini dirancang untuk mempermudah pengguna dalam memantau kondisi jantung mereka secara real-time tanpa harus pergi ke rumah sakit. Responden pada penelitian ini sebanyak 5 orang dengan rentang usia 17 s.d. 57 tahun berjenis kelamin pria dan wanita dengan hasil percobaan pada nilai BPM dan oxymeter diperoleh nilai error setiap percobaan sebesar 1,1028%. Sistem monitoring sinyal jantung dan BPM pada penelitian ini berhasil monitoring dan membaca nilai detak jantung aman sesuai dengan rentang nilai detak jantung normal.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: 03-Fakultas Teknik
03-Fakultas Teknik > 20201-Jurusan Teknik Elektro
Depositing User: Tn. Allan Yusuf
Date Deposited: 20 Sep 2024 15:36
Last Modified: 25 Sep 2024 14:58
URI: http://eprints.untirta.ac.id/id/eprint/42334

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