Currently, medical experts use psychophysiological questionnaires to evaluate human stress levels during counseling or interviews. Typically, biochemical samples use urine, saliva, and blood samples to identify the effects of stress on the human body. This research explains that stress detection can be done by analyzing psychological signals and the importance of monitoring stress levels. The authors develop research on stress detection based on psychological signals. The system then processes the recorded data; the android application displays the calculation results. The database can also be accessed as a spreadsheet via a web application. The design of real-time stress detection and monitoring using internet of things (IoT) can work well.

This intelligent system is made as the application of teaching materials in lighting system for Hospital hallway. Hospital as a public health facilities is commonly visited by people thus it must have a lighting system to make people feel save and comfort. The purpose of this research is to test the intelligent system modeling module by integrating series of parallelseries lamps and infrared sensors as a single moving object detector. The research employ series of activity from literature review process of various sources, designing the integrastion system, programing, component test, and testing the whole function of program and tool. The progran was conducted by arranging three groups of lights with different lit order, referring to four Infra Red sensors. Each light poweredfixed power valueusingnamely 25 Watt in parallel circuit and the power used changed into 10 Watt when in the series. The bounce state is found when the lamp circuit is connected to a voltage source. The results of this study indicate that the regulation of ligth power value by intelligent system, which is illuminated in parallel circuit is 25 Watt, can be decreased to 10 Watt in series circuit. Decrease of light power by 60% either per ligth or in group of ligth can be controlled by intelligent system without reducing the comfort of lighting the hallway.

Background: Inventory systems are very numerous and require a long time when rechecking. In doing a shortcut time for checking, it can be done the application of augmented reality.Methods: This research can be applied to all types and brands of smartphones. The testing was carried out using three different types and brands of smartphones in three conditions: dark rooms, bright room and open spaces for three times for each smartphone. It examines the suitability of displaying asset objects such as Infusion Device Analyzer (IDA-1), Electrical Safety Analyzer (ISA) and Piranha radiology high voltage tester with target objects using existing inventory labels also Barbarian with the target a book cover with the distance 10, 15, 20, 25 and 30 cm. Results: By using three different types and brands of smartphones: A, B and C, the incompatibility result percentage of the asset object with the target object is obtained. The average of incompatibility result of Smartphone A, B, and C for the ISA asset object is 83%. The average of incompatibility result of Smartphone A, B, and C for the IDA asset object is 71%, The average of incompatibility result of Smartphone A, B, and C for the Piranha asset object is 36%, For the whole result for Barbarian object asset is 100%.Conclusions: Making augmented reality has been successfully carried out with 3D models but there is a discrepancy between the appearance of asset objects with the target object except for the book cover and barbarian.