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In this study, using the fuzzy logic method, a stress detection tool was created with body temperature and blood pressure parameters as indicators to determine a person's stress level. This tool uses the LM35DZ sensor to detect body temperature, the MPX5100GP sensor to read blood pressure values, and Arduino Uno as a data processor from sensor readings which are then calculated using the fuzzy logic method as a stress level decisionmaker. The resulting output measures blood pressure, body temperature, and the stress level experienced by a person, which will be displayed on the liquid crystal display. Based on the results of testing the body temperature parameter, the highest error generated was 1.17%, and for the blood pressure parameter, the highest error was 2.5% for systole and 0.93% for diastole. Furthermore, testing the stress level displayed on the tool is compared to the depression, anxiety, and stress scales 42 (DASS 42), a psychological stress measuring instrument. From the results of testing the tool with the questionnaire, the average conformity level is 74%.

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At the forefront of technological innovation and scholarly discourse, the Journal of Electrical Systems (JES) is a peer-reviewed publication dedicated to advancing the understanding and application of electrical systems, communication systems and information science. With a commitment to excellence, we provide a platform for researchers, academics, and professionals to contribute to the ever-evolving field of electrical engineering, communication technology and Information Systems. The mission of JES is to foster the exchange of knowledge and ideas in electrical and communication systems, promoting cutting-edge research and facilitating discussions that drive progress in the field. We aim to be a beacon for those seeking to explore, challenge, and revolutionize the way we harness, distribute, and utilize electrical energy and information systems..

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