Distance learning used in physics teaching and learning activities is indeed difficult to apply properly, this is caused by the many formulas and theories that must be explained well and in detail and the difficulty of explaining to students so that students are not able to understand concepts, materials and theories properly. good. Based on the background described previously, the purpose of this study is to test the feasibility of web-based physics learning media using google sites on sound wave material in helping students to learn easily and independently during distance learning. Learning media using Google sites aims to help students learn physics independently, especially in learning physics with sound wave material. In this study, research and development (R&D) methods were used. Website-based learning media developed using Google Sites on the subject of Sound Waves received an average validation score of 50.50% by media experts and 63.50% by material experts. Both the average score results by media experts and material experts are included in the "feasible" criteria to be used and tested for students, and can develop Google Sites and disseminate the results of Google Sites development.

Fish is a source of protein that is widely consumed by indonesians, easy to obtain, and cheap. This foodstuff, quickly undergoes a process of decay caused by the growth of microorganisms, fish producers often use preservatives so that this product is not quickly damaged, especially preservatives that are not allowed formaldehyde. Therefore, a tool is needed that can easily detect the content of formaldehyde. We make a tool called smart nose that is a detection of harmful preservatives in fish. This research aims to create a smart nose tool design that can detect the content of formaldehyde in fish. The tools and materials used to assemble the components are the Arduino, jumper cable, HCHO sensor, LED, resistor, LCD and Bluetooth HC-05 module, as well as arduino IDE software to program the circuit. After the components are assembled, a smart nose tool is obtained that can detect the content of formaldehyde in PPM units.