| dc.description.abstract | Many conduction rate experiments are carried out using analog tools which makes the experiment less effective. The development of increasingly advanced technology also has an impact in the world of education, one of which is practicum tools that are turning digital. So this research focuses on the design of experimental tools for the difference in heat conduction rates based on arduino uno and ds18b20. The goal is to create an experimental tool for the difference in heat conduction rates whose use is automatic with accurate results so that practicum implementation becomes more effective. This research uses descriptive research with a quantitative approach. The stages carried out include literature study, provision of tools and materials, design stage, limited trials, experimental equipment trials, evaluation and revision, data collection, to data analysis. The results obtained from the limited trial on sensor calibration against the thermogun obtained a value on each sensor with the highest error in order, namely 7.26%, 7.24%, 6.18%, 7.26%, 7.53%, and 7.78%, with the condition that if it is less than 10%, the experimental tool is said to be valid and can be used according to its function. Based on linear regression analysis, it is obtained that the R square of each sensor is sequentially worth 0.9881, 0.9897, 0.9890, 0.9895, 0.9872, and 0.9873 with the condition that if R Square is between 0.80-1.00, it has a very strong relationship level. The test results of experimental tools on copper, aluminum, and iron metals obtained the highest heat conduction rate value found in copper with an error of 0.55%, second aluminum with an error of 0.23%, and the lowest iron with an error of 0.24%. It can be concluded that the conduction rate experimental tool can be operated properly and correctly in calculating the difference in conduction rate values in metals. | en_US |
