Development of STEM learning media: Arduino-based air pollution detection tool for biology learning

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.

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Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202564002007
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of STEM learning media: Arduino-based air pollution detection tool for biology learning

E3S Web of Conferences
Geochemistry and Geologic Mapping
article

Development of STEM learning media: Arduino-based air pollution detection tool for biology learning

article en

Abstract

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.

E3S Web of ConferencesVol. 640
Philips (Finland) (FI), State University of Semarang (ID), Universitas Negeri Surabaya (ID)
Openalex Percentile: Top 68%
Geochemistry and Geologic Mapping
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Development of STEM learning media: Arduino-based air pollution detection tool for biology learning · E3S Web of Conferences (2025) | TGRS Research Map | TGRS