Indonesia frequently experiences earthquakes and tsunami since Indonesia is geologically located in the ring of fire and sits along three major tectonic plates of the world thus this natural phenomena have the potential to continuously occur for example a notable tsunami that hit Aceh in 2004 and killed 160,000 people. This condition is not yet supported by adequate means of disaster mitigation and a tsunami early warning system. The objective of this study was to create an automatic tsunami early warning system that utilizes tsunami potential data from the Indonesian Agency for Meteorological, Climatological and Geophysics’ website to be conveyed through loudspeakers in places of worship whose area will be affected by the tsunami. This study used the Research and Development (RnD) method with the ADDIE (Analyze, Design, Development, Implementation and Evaluate) procedure. This study developed a tsunami early warning system that works effectively with a fast average response time of 13.48 seconds to download tsunami potential information on the BMKG website and proceed it to trigger the loudspeaker at places of worship.

3D printing is one of the most important tools of Industry 4.0. 3D printing technology has an advantage over traditional manufacturing processes, as it has the ability to convert 3D designs/models into ready-to-use products. The world of education needs to continue to adapt to technological developments. Making a mechanical prototype of a robotic arm is one of the main things to do to develop learning media in an educational environment. The mechanical prototype of the robotic arm can be made using 3D printing, so it will provide real implementation for education. The purpose of this study is to develop a custom 3D Printer learning media which is expected to facilitate the installation process and development of a mechanical prototype of a robotic arm as a form of implementation in the Mechatronics Engineering Education Study Program, FT UNY. This research was carried out based on the ADDIE model, namely Analysis, Design, Development, Implementation and Evaluation. The results of this study are a custom 3D printer based on FDM, both Cartesian and CoreXY types that can be used in learning in the Mechatronic Engineering Education Study Program. The test results show the average value of the measurement error of printing results is less than 2% so that it can be used in the learning process and supports the selected learning content. 3D printers can print robotic arm mechanical components with good results and low tolerances for printing precision.