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Journal : Journal of Electrical Technology UMY

Human-Robot Interaction Based GUI Rahmat Fauzi Siregar; Ramadoni Syahputra; Muhamad Yusvin Mustar
Journal of Electrical Technology UMY Vol 1, No 1 (2017)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.1102

Abstract

Nowadays, technological developments interactions in general, couldn't be separated from the rapid development of computer technology and human interaction. So that, supporting the user to be able to develop various models of interactions, especially the interactions between humans and robots. This study proposes a model of design and manufacture of human and robot interaction, in the form of a visual display on a computer controlling the robot motion. Object interaction in this study is using 4WD Smart Car Robot. Some of the tools used to build a robot control system at the time of interaction, including Netbeans IDE, based on JAVA and Arduino. The control algorithm is applied to build an optimal control system to model an interaction between humans and robots. Model of human interaction and robot is fully carried by the user in control of robot motion. The proposed interaction model can be implemented in real terms, in designing and making a model of human interaction and robot. 
IoT Smart Control System: Smoke and Fire Detection Using SIM900A Module Rahmat Fauzi Siregar; Affandi Affandi; Rohana Rohana; Arya Rudi Nasution; Iqbal Tanjung
Journal of Electrical Technology UMY Vol 7, No 2 (2023): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jet.v7i2.19908

Abstract

The main focus of this system is to detect smoke and fire effectively in potential hazard situations. This system utilizes sensor technology to monitor changes in environmental conditions, with the aim of providing quick responses and notifications to users or relevant authorities via a cellular connection. This approach combines feedback signals from sensors and cellular connectivity using the SIM900A module processed with a microcontroller to increase the efficiency and reliability of hazard detection. This system was designed with the aim of providing an efficient and affordable solution for detecting potential fires or other hazardous situations in various environments, including homes, offices and industrial areas. Trial results show that this system is capable of detecting smoke and fire with high accuracy, as well as providing instant notifications via text messages or digital notifications. This innovation is expected to make a positive contribution in improving safety and security in various sectors, while leveraging the potential of IoT connectivity to provide smarter solutions in hazard detection.