Alimin, Nadya Natasha (2021) Komparasi fitur smartwatch sebagai alat perekam medis terintegrasi PHR berbasis web = Comparison of smartwatch features as a web-based PHR integrated medical recording device. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Penggunaan kartu pasien online atau yang dikenal dengan Patient Health Record (PHR) menjadi sangat penting dalam kondisi dunia saat ini dalam risiko dan kemungkinan terburuk terhadap kesehatan yang mungkin akan dihadapi. PHR ini membutuhkan data real-time yang diambil dari pemanfaatan smartwatch. Seiring dengan kemajuan teknologi, banyak bermunculan smartwatch dengan berbagai brand. Berdasarkan hal tersebut, dibuatlah komparasi penggunaan fitur smartwatch untuk mengetahui fitur-fitur dan spesifikasi yang dibutuhkan untuk penggunaan jam tangan pintar ini serta aplikasi pengiriman data kesehatan ke PHR online. Penelitian ini menggunakan dua jenis smartwatch, yaitu yang memiliki brand dan yang tidak memiliki brand dengan tipe iWatch 3 dan H9 ECG. Pengumpulan data yang dilakukan adalah data SpO2, heart rate, blood pressure, dan sleep monitoring yang dilakukan pada tiga partisipan sebanyak 30 data SpO2 dan heart rate, 10 data blood pressure, dan sleep monitoring selama satu minggu. Data yang terkumpul ini diolah dengan metode paired t-test untuk menguji kebenaran atau kepalsuan hipotesis mengenai adanya perbedaan yang signifikan atau tidak. Dilanjutkan dengan perhitungan dengan MAPE untuk mendapatkan besar perbedaan nilai yang dihasilkan serta digunakan untuk kalibrasi. Selain itu, aplikasi yang dirancang untuk mengirim data dari smartwatch ke Firebase dan ditampilkan di PHR berbasis web. Hasil yang didapatkan dari penelitian berdasarkan metode paired t-test adalah smartwatch non-brand tidak dapat mengukur seakurat yang dilakukan smartwatch dengan brand. Dari pengukuran MAPE didapatkan hasil pengukuran heart rate pada smartwatch yang berbeda adalah sangat baik dengan persentase rata-rata di bawah 10%. Sedangkan persentase pengukuran blood pressure adalah 12,7% yang termasuk dalam pengukuran yang baik dengan rata-rata 10,73% pengukuran sistolik dan 14,69% pengukuran diastolik. Berbeda halnya dengan pengukuran sleep monitoring, smartwatch non-brand kurang mampu bekerja dengan baik karena pengukuran yang tidak akurat dan tampilan pada aplikasi yang tidak jelas. Hal ini membuktikan bahwa smartwatch non- brand masih mampu bekerja dengan baik walaupun membutuhkan waktu jeda saat pengukuran dan hasil yang didapatkan kurang maksimal. / The use of patient cards online or known as Patient Health Record (PHR) becomes very important in the current state of the world at risk and the worst possible health risks that may be faced. This PHR requires real-time data taken from the utilization of the smartwatch. Along with the advancement of technology, many created smartwatches with various brands. Based on this, a comparison of smartwatch features is made to determine the features and specifications required for the use of this smartwatch as well as the application of sending health data to PHR online. This study used two types of smartwatches, namely those that have a brand and that do not have a brand with iWatch 3 and H9 ECG. Data collection conducted is SpO2, heart rate, blood pressure, and sleep monitoring conducted on three participants as many as 30 sample data of SpO2 and heart rate, 10 sample data of blood pressure, and sleep monitoring for one week. The collected data is processed by paired t-test method to evaluate the means of populations using hypothesis whether the data have significant differences or not. Next is data will be calculated by using MAPE to get the percentage value and for calibration. In addition, the app is designed to send data from the smartwatch to Firebase and is displayed in web-based PHR. The results obtained from this study shown that based on paired t-test, smartwatch non-brand could not measure accurately enough but smartwatch with brand can. Meanwhile with MAPE, got the result that measurement of heart rate from both smartwatches are a very good measurement with mean percentage below 10%. Besides, there are 10,73% of systolic and 14,69% of diastolic blood pressure with 12,7% mean percentage which is included a good measurement. Unlike sleep monitoring measurements, non-brand smartwatches are less able to work properly due to inaccurate measurements and unclear displays in apps. This explains that non-brand smartwatches are still able to work well even though it takes a while to pause when the measurements and results are not maximized.
Item Type: | Thesis (Bachelor) | ||||||||||||
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Uncontrolled Keywords: | PHR; smartwatch; paired t-test; MAPE; Flutter; data transmission | ||||||||||||
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science | ||||||||||||
Divisions: | University Subject > Current > Faculty/School - UPH Karawaci > School of Information Science and Technology > Informatics Current > Faculty/School - UPH Karawaci > School of Information Science and Technology > Informatics |
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Depositing User: | Users 9595 not found. | ||||||||||||
Date Deposited: | 10 Aug 2021 06:51 | ||||||||||||
Last Modified: | 13 Aug 2021 02:38 | ||||||||||||
URI: | http://repository.uph.edu/id/eprint/41481 |
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