Adjie, Dinar Nurmantara (2020) RANCANG BANGUN ALAT PENGUKUR PARAMETER DEPRESI MENGGUNAKAN INPUT DETAK JANTUNG GSR DAN SUHU BERBASIS INTERNET OF THINGS (IoT). Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
Depression is a psychological problem that occurs in humans. The problem is characterized by deep feelings that will impact to the social interaction. Depression is often not detected at humans because it is considered as an aging process and chronic diseases experienced by humans. While early detection and appropriate treatment of recovery can relieve and improve the quality of humans life. This research builds a detection that measures the parameters of human depression level using Galvanic Skin Responce, Body Temperature, and Heartbeat based on Internet of Things (IoT). The data is then processed by a microcontroller and displayed on a Liquid Cristal Display (LCD) to display the value which then will be executed by Android to determine the level of depression. This tool works with three sensors namely the pulse sensor as a measure of heart rate, the temperature sensor as a gauge of body temperature, and the Galvanic Skin Response sensor as a skin moisture sensor. The test results shows that this tool works well. However the testing results of the DASS 42 questionnaire and stress level detection tool using the fuzzy inference system (FIS) method based on validation gained the succeed results of 50% and errors of 50%. Keywords : Depression, Galvanic Skin Sensor, Internet of Things (IoT), Android, Liquid Cristal Display (LCD), DASS 42, fuzzy inference system (FIS)
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Teknik Komputer |
| Depositing User: | Kaprodi S1 Sistem Komputer UTY |
| Date Deposited: | 23 Mar 2020 02:38 |
| Last Modified: | 23 Mar 2020 02:38 |
| URI: | http://eprints.uty.ac.id/id/eprint/4795 |
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