ABSTRACT
The purpose of this study was to describe the validity of authentic learning-based electronic thermodynamic teaching materials to train students' problem-solving skills during the covid-19 pandemic. The model used in this study was the ASSURE development model, which only reached the third stage, namely Selection of Media and Materials. The validation of teaching materials was assessed by three validators consisting of two physics education academics and one practitioner. Based on the validation results, it was found that the authentic learning-based electronic thermodynamic teaching material for training students' problem-solving skills was declared valid with a value of 3.14. Appropriate teaching materials can then be used in schools' teaching and learning processes and tested for practicality and effectiveness. © 2021 Institute of Physics Publishing. All rights reserved.
ABSTRACT
The student internet data assistance program is an effort by educational institutions to support online learning from home during the Covid-19 pandemic. A series of tests are applied to determine the optimization of decision making on the social assistance program performance. This study aims to evaluate the performance of students' internet data assistance programs using a confusion matrix approach, in particular on the performance of simple, linear and vector normalized data analysistechniques. The representation normalized techniques performance for simple data using SAW, linear data is VIKOR and vector using the MOORA method. The study results found that there were differences in performance in the process of selecting preferences for ranking potential social assistance recipients, as well as a differential in the confusion matrix performance values on the accuracy, precision, recall and error rate values on each method. © 2020 IEEE.