Electronic Theses and Dissertation

Nyeri merupakan sensasi subjektif yang bersifat individual dan bergantung pada banyak faktor penyebabnya. Maka dari itu, klasifikasi nyeri menjadi penting guna pemberian tatalaksana yang tepat. Namun, karena nyeri bersifat subjektif, sehingga di butuhkan pengukuran nyeri yang bersifat objektif. Teknologi di bidang Kesehatan telah berkembang pesat, khususnya pada pengklasifikasian skala nyeri. Wearable Device berbasis IoT dirancang khusus untuk mengukur intensitas nyeri secara konstan yang mampu mengkombinasikan prinsip kerja pressure algometer sehingga hasil pengukuran skala nyeri lebih akurat dan terukur. Penelitian ini bertujuan untuk mengukur intensitas nyeri secara objektif dengan bantuan Wearable Device berbasis Internet of Things (IoT). Tujuan dari penelitian ini ialah untuk mengetahui perbandingan skala nyeri pada alat maupun pada responden pada bulan Juli 2024 dengan jumlah sampel sebanyak 47 responden yang merupakan residen RSUD dr. Zainoel Abidin, Banda Aceh. Penelitian menggunakan teknik Total Sampling dan merupakan penelitian deskriptif. Analisis beda median dilakukan karena data yang dimiliki termasuk data non-parametrik atau tidak berdistribusi normal sehingga uji validitas dan reliabilitas penelitian ini menggunakan Mann Whitney-U Test dan Wilcoxon Signed-Rank Test. Data terdiri dari Tekanan 1 hingga Tekanan 7. Hasil uji menemukan bahwa tekanan 4 hingga 7 merupakan tekanan yang valid dan reliabel menurut hasil uji secara statistik.
Kata Kunci: Pengukuran Skala Nyeri, Wearable Device berbasis Internet of Things, Validitas, Reliabilitas.

Pain is a subjective sensation that is individualized and dependent on many contributing factors. Therefore, pain classification is important to provide appropriate management. However, because pain is subjective, objective pain measurements are needed. Technology in the field of health has developed rapidly, especially in the classification of pain scales. IoT-based Wearable Device is specially designed to measure pain intensity constantly which is able to combine the working principles of a pressure algometer so that the results of pain scale measurements are more accurate and measurable. This study aims to measure pain intensity objectively with the help of an Internet of Things (IoT)-based Wearable Device. The purpose of this study was to determine the comparison of pain scales on the tool and on respondents in July 2024 with a total sample of 47 respondents who were residents of Dr. Zainoel Abidin Hospital, Banda Aceh. The study used the Total Sampling technique and was a descriptive study. Median difference analysis was conducted because the data included non-parametric or non-normally distributed data so that the validity and reliability tests of this study used the Mann Whitney-U Test and Wilcoxon Signed-Rank Test. The data consisted of Pressure 1 to Pressure 7. The test results found that pressures 4 to 7 were valid and reliable according to the statistical test results. Keywords: Pain Scale Measurement, Wearable Device based on Internet of Things , Validity, Reliability.