Abstract
The development of technology in the 21st century is so rapid both in the field of sensor and data communication. In fact, almost all smartphones have used the technology. In addition to using cutting edge sensor technology, smartphones are also equipped with internet communication features so they can be categorized as IoT (Internet of Things) devices. However, both of these technologies have not been optimally used as a media for learning physics. This paper discusses the use of MEMs (Micro-electromechanical system) sensor (ADXL-345) to detect the oscillation of the spring-mass system. Data obtained by MEMs is read by IoT based Microcontrollers (NodeMCU EPS8266) and directly transferred to the intranet WIFI network via the UDP (User Datagram Protocol). The data transmitted in the UDP packet is received by a computer that is integrated with LabVIEW, a user-friendly software that is based on a Graphical Programming. Students were encouraged to conduct several experiments to investigate the dependence of the period of the spring-mass system on the mass, the spring constant, and the amplitude. The oscillation of the spring-mass system received by the computer recorded the amplitude and the period of oscillation. Then students will compare the data from various observational experiments to predict the relation among the variables. Finally, they tested their prediction by conducting a testing experiment. This learning model is using ISLE (Investigation Sciences Learning Environment) syntax where students constructed their knowledge about mechanics, especially about spring-mass system, and enjoyed their discoveries as scientists did. Since the learning media has used technology and also carried out engineering process stages and involved the calculation of mathematics to understand the measurement results, it can be said to have used the STEM (Sciences, Technology, Engineering, and Mathematics) approach. We observed that an atmosphere of "learning is fun" existed during the lesson.
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