Abstract
This study is designed to produce an experimental device for the measurement of the kinetic friction coefficient of material through magnetic induction using Audacity application. The objects of material the kinetic friction coefficient of which is going to be measured is rough acrylic with rough acrylic and wood with rough acrylic. The experimental setup was performed on the motion system of the mass of objects m1 and m2 that were connected through a pulley on a table and three solenoids are put under a table as the Electromagnetic Field (EMF) sensor. Analysis of the calculation of kinetic friction coefficient used two concepts, i.e. the kinematics concept to identify the load acceleration and the concept of the dynamic to find the kinetic friction coefficient. The results of the measurement of kinetic friction coefficient in this study have a match with the results obtained in the other studies. Hence, the tools and experimental approaches generated in this study are excellent for use in the learning activities so that teachers can teach physics applicatively.
Highlights
Physics studies should be a very interesting study for students to learn in the learning process because the discussion is directly related to natural phenomena that are close to students’ daily lives
The setup of experimental devices for measuring the kinetic friction coefficient through magnetic induction using Audacity application consists of a trajectory table made of rough acrylic with the size of 90×15 cm (Fig. 1)
When mass m1 and magnet move across the solenoid, it will trigger the emergence of a magnetic field signal (EMF) the time data of which can be recorded by Audacity
Summary
Physics studies should be a very interesting study for students to learn in the learning process because the discussion is directly related to natural phenomena that are close to students’ daily lives. Many students, consider physics to be a difficult subject [1] This is because in general, physics discusses concepts, equations, and complex topics that make students unable to associate those physical concepts with everyday life phenomena [2,3,4,5]. One of the factors is the method of recording data manually which causes the slow process of data collection [6,7], the low level of accuracy of the data obtained, and ineffective use of time. To overcome this issue, new methods such as computer application-based data logging need to be apiJOE ‒ Vol 16, No 3, 2020
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