Improving Teacher Competence through the Creation of Arduino-Based Gas Detection Media and Artificial Intelligence
Keywords:
Arduino, artificial Intelligence, Learning Media, wokwi SimulatorAbstract
The Indonesian government has begun to explicitly implement a deep learning approach through four main frameworks, namely pedagogical practices, learning environments, learning partnerships, and digital utilization. However, limitations in teacher skills and infrastructure, particularly in terms of technology, pose challenges to its implementation. This study aims to describe the process by which teachers at the Community Learning Center (PKBM) in Cibeber Subdistrict, Cianjur Regency, develop learning media based on an automated system using a simulator (Wokwi) and practical applications assisted by Arduino IDE. The creation of this media is also supported by artificial intelligence monitoring tools such as ChatGPT. This study employs a qualitative descriptive approach. Data collection was conducted through direct observation of 15 teachers from three PKBMs in Cibeber Subdistrict, Cianjur Regency. The research process focused on the development of a gas detection device by utilizing the four pillars of computational thinking: abstraction, decomposition, algorithmic thinking, and pattern recognition. Data analysis was conducted using the Miles & Huberman qualitative data analysis method, which includes data collection, data reduction, data presentation, and drawing conclusions. The research results indicate that teachers were able to follow all stages of tool development, achieving the following indicators: abstraction (70%), decomposition (85%), algorithmic thinking (78%), and pattern recognition (81%). Although most teachers come from non-science backgrounds and have no prior programming experience, they successfully designed gas detection tools (LPG, alcohol, smoke, and carbon monoxide) and adapted their experience to create a smart parking system project. This study demonstrates that the use of artificial intelligence, such as ChatGPT, along with simulators and hands-on practice, can bridge the technical limitations of teachers. This supports teachers' creativity and ability to develop technology-based contextual learning materials in a more independent and innovative manner.
References
Adzkia, M. S., Refdinal, R., & Adzkia, M. S. (2024). Teacher readiness in terms of technological skills in facing artificial intelligence in the 21st century education era. JPPI (Jurnal Penelitian Pendidikan Indonesia), 10(4), 1048–1057. https://doi.org/10.29210/020244152
Amer, A., Alvarez-Tunon, O., Ugurlu, H. I., Le Fevre Sejersen, J., Brodskiy, Y., & Kayacan, E. (2023). UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework. 2023 21st International Conference on Advanced Robotics, ICAR 2023, 4, 570–576. https://doi.org/10.1109/ICAR58858.2023.10406819
Badan Standar Kurikulum dan Asesmen pendidikan. (2025). Naskah Akademik Pembelajaran Koding dan Kecerdasan Artifisial Pada Pendidikan dasar dan Menengah. Pusat Kurikulum dan Pembelajaran & Pusat Standar dan Kebijakan Pendidikan.
Badan Standar Kurikulum dan Asesmen Pendidikan. (2025). Naskah Akademik Pembelajaran Mendalam Menuju Pendidikan bermutu Untuk Semua. Kementerian Pendidikan Dasar dan Menengah Republik Indonesia.
Bresnahan, P., Briggs, E., Davis, B., Rodriguez, A. R., Peach, C., Renner, N., Helling, H., & Merrifield, M. (2023). Ultrasonic Water Level Sensor. Oceanography, 36(1), 51–58. https://pdfs.semanticscholar.org/4d0b/f6402e9b26bac5cd4669ce0562a89beb7932.pdf
Chevalier, M., El-Hamamsy, L., Giang, C., Bruno, B., & Mondada, F. (2022). Teachers’ Perspective on Fostering Computational Thinking Through Educational Robotics (Vol. 2). Springer International Publishing. https://doi.org/10.1007/978-3-030-82544-7_17
Fadiya, S. R. N., & Satianingsih, R. (2025). Pengaruh Media Pembelajaran Digital Interaktif Terhadap Perkembangan Kesadaran Lingkungan Pada Siswa Sekolah Dasar Kelas V. Pendas: Jurnal Ilmiah Pendidikan Dasar, 10(01), 1483–1486.
Güç, F. A., & Daltaban, D. (2021). An investigation of the use of specific problem-solving strategies by mathematics teachers in lessons. Journal of Pedagogical Research, 5(1), 126–140. https://doi.org/10.33902/JPR.2021067307
Hidayati, L. N., Rahmawaty, P., Mustaqim, I., Ahmadi, C. R., & Yogyakarta, U. N. (2025). Education on the utilization of artificial intelligence technology to support the development of learning media. Community Empowerment, 10(2), 219–227. https://doi.org/10.31603/ce.12239
Kamala, I., & Ni’mah, A. (2022). Pendampingan Guru dalam Praktik Pembelajaran Berbasis ICT pada Program Pendidikan Profesi Guru. Jurnal Pengabdian dan Pemberdayaan Nusantara (JPPNu), 4(1), 28–36. https://doi.org/10.28926/jppnu.v4i1.96
Lockridge, G., & Dorgan, K. M. (2024). Developing Engineering Skills Through Project Based Learning : An Arduino Based Submersible Temperatur and Depth Sensor. Oceanography, 37(3).
Meylani, R. (2024). Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature. Journal of Computer and Education Research, 12(24), 600–637. https://doi.org/10.18009/jcer.1477709
Pratama, H. Y., & Eviyanti, A. (2024). Simulasi Cara Kerja Kapal Selam Berbasis Virtual Reality. Indonesian Journal of Applied Technology, 1(2), 13. https://doi.org/10.47134/ijat.v1i2.3039
Pratiwi, H., Riwanda, A., Hasruddin, H., Sujarwo, S., & Syamsudin, A. (2025). Transforming learning or creating dependency? Teachers’ perspectives and barriers to AI integration in education. Journal of Pedagogical Research, 9(2), 127–142. https://doi.org/10.33902/JPR.202531677
Rachmadtullah, R., Mareyke Jessy Tanod, M. J. T., Rasmitadila., R., Irawan, N., McNeilly, A., & Suharni, S. (2024). Elementary School Teachers’ Perspectives on Utilizing Artificial Intelligence for Developing Learning Media. Journal of Integrated Elementary Education, 4(1), 71–82. https://doi.org/10.21580/jieed.v4i1.21994
Rajapakse, C., Ariyarathna, W., & Selvakan, S. (2024). A Self-Efficacy Theory-Based Study on the Teachers’ Readiness to Teach Artificial Intelligence in Public Schools in Sri Lanka. ACM Transactions on Computing Education, 24(4), 1–25. https://doi.org/10.1145/3691354
Saputra, S. Y., & Putra, C. R. W. (2022). Pendampingan pengembangan media pembelajaran interaktif berbasis teknologi untuk guru-guru sd. MATAPPA: Jurnal Pengabdian Kepada Masyarakat, 5(3), 348–353.
Sugiarso, B. A., Lumenta, A. S. M., & Pratasis, P. A. K. (2024). Pelatihan dan Pendampingan Pemanfaatan Tools Artificial Intelligence untuk Guru. ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat, 2(6), 267–278. https://doi.org/10.61132/aspirasi.v2i6.1187
Wulandari, E. (2019). Teacher’s Technological Pedagogical Content Knowledge in Developing Learning Materials. Lingua Pedagogia, Journal of English Teaching Studies, 1(1), 29–45. https://doi.org/10.21831/lingped.v1i1.23983
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