Melinda MelindaVerdy SetiawanYunidar YunidarGopal SakarkarNurlida Basir2024-12-102024-12-1020242024-12-10Melinda Melinda , Verdy Setiawan , Yunidar Yunidar , Gopal Sakarkar & Nurlida Basir . (2024). Portable Stress Detection System for Autistic Children Using Fuzzy Logic. Jurnal Nasional Teknik Elektro, 13(2), 60–68. https://doi.org/10.25077/jnte.v13n2.1203.20242407-7267302-3110.25077/jnte.v13n2.1203.2024Jurnal Nasional Teknik Elektro, Volume 13 Issue 2 Page (60–68)Stress is prone to occur in children with autism. According to the study, around 85% of children who have autism suffer from anxiety disorders that can exacerbate their condition, leading to self-harm and harm to those in their vicinity. Heart rate, skin conductance, and finger temperature changes occur during stress. In this paper, we design a system to monitor heart rate, body temperature, and skin conductance to detect signs of stress. Subsequently, the measurement data is processed using the fuzzy logic (FL) method as a decision-maker algorithm. In particular, we use 64 fuzzy rules with membership functions for each parameter. Parameter measurement results will be displayed using a widget called Gauge, while stress conditions will be displayed using a label widget. The results will be displayed on the Blynk application with an IoT system and viewed remotely via Android devices. The test was conducted on five children aged 5-9 years with varying body conditions. From the test results, the mean accuracy of the heart rate sensor was 95.01%, the mean temperature sensor accuracy was 97.7%, and the mean conductance sensor accuracy was 93.75%. The stress levels range from a minimum of 25% to a maximum of 75%. These findings indicate that the developed tool has performed effectively, and it is feasible to monitor its operation remotely.en-USStressHeart rateBody temperatureSkin conductancetext::journal::journal article::research article6068132