Researchers develop an Arduino-based air pollution detection tool to enhance biology learning, indicating strong feasibility for educational use.
This research aims to develop STEM learning media in the form of Arduino-based air pollution detection devices in biology learning to determine the feasibility of the tools development. This research focuses on the use of the 4-D development model. The research subjects were biology students of class X SMAS Kartika IV-3 Surabaya, a many of 25 students. Based on the validation results conducted by validators, it was found that the quality of STEM media was in very good category, with a percentage of 96.7% to be used in biology learning. The trial was conducted by conducting a practicum using an Arduino-based air pollution detection device in biology learning, and obtained the results of a response questionnaire with a percentage of 93.3%, or very good criteria. Thus, STEM media in the form of Arduino-based air pollution detection devices are very feasible to use in biology learning.
No takes yet. Share an insight, caveat, or question.
Purnomo et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: