RANCANG BANGUN ALAT PENDETEKSI TINGKAT STRES MENGGUNAKAN METODE BIOFEEDBACK BERBASIS IoT

YULIANISA ZAHRA, . (2026) RANCANG BANGUN ALAT PENDETEKSI TINGKAT STRES MENGGUNAKAN METODE BIOFEEDBACK BERBASIS IoT. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Stres merupakan kondisi psikologis yang dapat memengaruhi kesehatan fisik maupun mental apabila tidak terdeteksi sejak dini. Penelitian ini bertujuan merancang dan membangun alat pendeteksi tingkat stres berbasis Internet of Things (IoT) yang menerapkan prinsip monitoring biofeedback menggunakan parameter detak jantung, suhu tubuh, dan konduktivitas kulit. Penelitian menggunakan metode Research and Development (R&D) dengan pendekatan V-Model. Sistem dikembangkan menggunakan mikrokontroler ESP32 yang terintegrasi dengan Pulse Sensor, sensor MLX90614, dan sensor Galvanic Skin Response (GSR). Hasil pengukuran ditampilkan pada LCD dan dikirim secara real-time ke aplikasi Blynk. Hasil pengujian menunjukkan akurasi Pulse Sensor sebesar 98,70%, sensor MLX90614 99,07%, dan sensor GSR 96,33%. Pengujian terhadap empat partisipan berusia 18–24 tahun menghasilkan klasifikasi kondisi fisiologis pada kategori tenang dan cemas, sesuai dengan kondisi fisiologis masing-masing partisipan saat pengujian. Sistem juga berhasil melakukan monitoring kondisi pengguna secara real-time melalui aplikasi Blynk. Berdasarkan hasil penelitian, sistem mampu melakukan monitoring parameter fisiologis secara real-time menggunakan prinsip monitoring biofeedback, sehingga dapat dimanfaatkan sebagai pemantauan awal terhadap kondisi fisiologis yang berkaitan dengan tingkat stres. Kata kunci: Stres, Monitoring Biofeedback, Internet of Things (IoT), ESP32, Galvanic Skin Response (GSR) ***** Stress is a psychological condition that can affect physical and mental health if not detected at an early stage. This study aims to design and develop an Internet of Things (IoT)-based stress detection system that applies the biofeedback monitoring principle using heart rate, body temperature, and skin conductance parameters. This study employed the Research and Development (R&D) method with the V-Model approach. The system was developed using an ESP32 microcontroller integrated with a Pulse Sensor, an MLX90614 sensor, and a Galvanic Skin Response (GSR) sensor. Measurement results were displayed on an LCD and transmitted in real time to the Blynk application. The test results showed accuracies of 98.70% for the Pulse Sensor, 99.07% for the MLX90614 sensor, and 96.33% for the GSR sensor. Testing involving four participants aged 18–24 years classified physiological conditions into the calm and anxious categories according to each participant's physiological condition during testing. The system also successfully monitored users' physiological conditions in real time through the Blynk application. Based on the research findings, the developed system is capable of monitoring physiological parameters in real time using the biofeedback monitoring principle and can be utilized as an initial monitoring tool for physiological conditions associated with stress. Keywords: Stress, Biofeedback Monitoring, Internet of Things (IoT), ESP32, Galvanic Skin Response (GSR).

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Baso Maruddani, S.T., M.T. ; 2). Muhamad Wahyu Iqbal, S.Pd., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Yulianisa Zahra .
Date Deposited:	21 Jul 2026 02:05
Last Modified:	21 Jul 2026 02:05
URI:	http://repository.unj.ac.id/id/eprint/66793

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