There is no doubt that in the midst of the COVID-19 pandemic several approaches to technological ideas have been taken. On the other hand, Industry 4.0 is increasingly being heard. Even with the derivatives of these products in the form of robotics, internet of things (IoT), and AI (artificial intelligence). It seems that this idea was also adopted in the theme of the Intelligent Mechanical Anti-Pandemic International Competition which was packaged in the Top International Robotics Tournament (TIRT) 2020 in Taoyuan, Taiwan (21/11). TIRT is an annual event that is attended by several countries and the types of competitions range from AI robots, drone racing, to robot battles of various levels.
Dwi Sudarno Putra, lecturer in Automotive Engineering Education, Padang State University participated in this event as well as collaborating with Muslikhin and Ahmad Awaluddin Baiti, lecturers of the Department of Electronics Engineering and Informatics, Yogyakarta State University representing the Indonesian team. Incidentally, the three of them are currently studying S3 at Southern Taiwan University of Science and Technology, Taiwan. Interestingly, from this event all the supporting components are provided by the committee through the CageBot vendor, including the microcontroller and sensors. However, some developments are allowed, for example if you want to customize with 3D printing or simply use laser cutting / CNC. So that in this competition process, the idea and basis of programming will determine.
In connection with the idea, from the start it can be said that he did not intentionally participate in this TIRT2020, said Muslikhin. Starting from Prof. Roger Li, he persuaded that my research on deep learning (part of AI) was inline with the theme TIRT2020. But at that time the idea had not yet crossed paths because combining artificial intelligence (AI) with COVID-19 was a good idea and needed an empirical approach. Almost two weeks, finally the idea occurred, namely about quarantine. We studied several sources about the quarantine process, and came to the conclusion that quarantine has a psychological effect and boredom on certain food menus. The use of online messaging applications is not possible because patients are prohibited from contacting the courier. Not only that, transmission from fellow quarantine patients and paramedics is often reported. Meanwhile, the idea of combining an online shop, AI, robotic arm, and Automatic Guided Vehicle (AGV) will answer the problem of being bored with eating menus during quarantine. As an illustration, if someone from Indonesia comes to Taiwan, they need a two-week quarantine, all the food is local (Taiwanese) taste and of course tasteless for most of us. For vending machines or offline shops, I can provide instant noodles, snacks, or ASEAN products. The idea above brings a consequence that the system being built is comprehensive enough, for that we need some tools.
The team tried to use MATLAB, PHP 7, MySQLi, Python, and Arduino IDE in the form of QUAiBOT (Quarantine AI + Robot). On the offline shop side, the process of picking up groceries is automatically taken by the robotic arm and delivered to the patient’s room using AGV, presented in the following link https://youtu.be/9tMquPes988.
Sure enough, this idea was appreciated by the jury through a process of interviews and demonstrations at the competition location. At the closing ceremony, the red and white occupied the first podium. “Before being screened into five finalists, there was an award for favorite video through Facebook, but we lost, maybe because we were passive on Facebook in recent years,” said Awaluddin. In addition, the TIRT2020 event opens up insights that hegemony about Industry 4.0 should be accompanied by education and rewarding ideas. We were very touched because we were able to fly the dual colors higher than other flags as well as being a National Teacher’s Day gift (25/11), said Dwi proudly. 
Dwi Sudarno Putra (UNP), Muslikhin (UNY) dan Ahmad Awaluddin Baiti (UNY)
