IMPROVING MADRASAH TEACHERS' COMPETENCIES IN ARTIFICIAL INTELLIGENCE-BASED LEARNING DATA PROCESSING IN BATU CITY

Authors

  • Syaiful Anam Universitas Brawijaya
  • Hilmi Aziz Bukhori
  • Avin Maulana
  • Indah Yanti
  • Anggi Gustiningsih Hapsani

DOI:

https://doi.org/10.36720/csji.v7i2.813

Keywords:

Artificial Intelligence, Batu City, Learning Data, Madrasah, Teacher Competency

Abstract

Teacher competence is a crucial factor in improving the quality of education..This community service program aimed to enhance the professional competence of madrasah teachers in processing learning data using artificial intelligence (AI)-based tools. Conducted through a one-day intensive workshop in Batu City, the program involved 18 teachers from five madrasahs at the Madrasah Aliyah and Madrasah Tsanawiyah levels. The training adopted the ADDIE instructional design model, covering needs analysis, AI-assisted data processing with Google Sheets and ChatGPT/OpenAI, reinforcement of AI ethics, and infographic creation. Quantitative evaluation showed a significant improvement in participants’ competencies, with average scores increasing from 60.3 (pre-test) to 86.3 (post-test). The most notable progress was observed in logical operations (IF function mastery) and ethical awareness in AI use, while 88% of participants reported high satisfaction with the training content and delivery. The program effectively integrated digital literacy, ethical reflection, and practical application to foster teacher professionalism. Beyond individual competence, this initiative contributed to building a sustainable collaborative network through the Subject Teachers’ Working Group (MGMP) and provided a replicable model for technology-based professional development in Islamic education.

References

Aggarwal, D., Sharma, D., & Saxena, A. B. (2023). Adoption of artificial intelligence (AI) for development of smart education as the future of a sustainable education system. Journal of Artificial Intelligence Machine Learning and Neural Network, 3(6), 23–28. https://doi.org/10.55529/jaimlnn.36.23.28

Alkan, A. (2024). Artificial intelligence: Its role and potential in education. İnsan Ve Toplum Bilimleri Araştırmaları Dergisi, 13(3), 1201–1215. https://doi.org/10.15869/itobiad.1331201

Branch, R. M. (2010). Instructional design: The ADDIE approach. Springer. https://doi.org/10.1007/978-0-387-09506-6

Chandra, N. E., Listia, R., Rosalina, E., Aprilia, R. D., Devisasmita, K. R., & Laheba, S. M. V. (2022). Pendampingan penyusunan penelitian tindakan kelas (PTK) di masa pandemi Covid-19 pada guru-guru bahasa Inggris SMA di Kota Banjarbaru. Bubungan Tinggi: Jurnal Pengabdian Masyarakat, 4(1), 34–41. https://doi.org/10.20527/btjpm.v4i1.4325

Daud, M. H., & Kaleka, M. B. U. (2020). Analisis kesulitan bagi guru IPA untuk melakukan penelitian tindakan kelas (PTK). Optika: Jurnal Pendidikan Fisika, 3(2), 41–49. https://doi.org/10.37478/optika.v3i02.502

Fitria, H., Kristiawan, M., & Rahmat, N. (2019). Upaya meningkatkan kompetensi guru melalui pelatihan penelitian tindakan kelas. Abdimas Unwahas, 4(1), 42–50. https://doi.org/10.31942/abd.v4i1.2690

Handoyono, N. A., Rabiman, R., Pribadi, P., & Purnomo, S. (2019). Improvement of learning motivation and learning outcomes by applying the problem-based learning method. Taman Vokasi, 7(2), 167–174. https://doi.org/10.30738/jtv.v7i2.6318

Harjito, H., Kadarwati, S., Nuswowati, M., Sumarni, W., & Sulistyani, M. (2022). Pendampingan guru dalam mendesain penelitian tindakan kelas berbasis teknologi informasi Trello. Jurnal Abdimas, 26(1), 45–52. https://doi.org/10.15294/abdimas.v26i1.35657

Hendriani, S., Rahmawati, R., Deswita, D., & Khairina, K. (2022). Female teacher workload, problem, and social competence: A study on secondary school teachers. Ta’dib, 25(1), 34–45. https://doi.org/10.31958/jt.v25i1.5678

Kunlasomboon, N., Wongwanich, S., & Suwanmonkha, S. (2015). Research and development of classroom action research process to enhance school learning. Procedia - Social and Behavioral Sciences, 171, 1315–1324. https://doi.org/10.1016/j.sbspro.2015.01.248

Modran, H. A., Ursuțiu, D., & Samoilă, C. (2024). Using the theoretical-experiential binomial for educating AI-literate students. Sustainability, 16(10), 4068. https://doi.org/10.3390/su16104068

Nunggalina, O. C., Muhari, M., & Setyowati, R. R. N. (2018). Quantum teaching-learning model to increase motivation and learning outcomes. In Proceedings of International Conference on Education Innovation (ICEI) (pp. 123–127). https://doi.org/10.2991/icei-18.2018.27

Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: A comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 1011–1025. https://doi.org/10.51594/ijarss.v6i4.1011

Shaik, T., et al. (2022). A review of the trends and challenges in adopting natural language processing methods for education feedback analysis. IEEE Access, 10, 3177752–3177765. https://doi.org/10.1109/access.2022.3177752

Shopia, K., Sudarmaji, I., Purnawati, P., Chairunnisa, D., & Febriliyana, N. (2022). Analysis of English teachers’ professional competence in 21st century learning. In Proceedings of EAI International Conference. https://doi.org/10.4108/eai.25-11-2021.2318834

Susanti, S., Wijayanti, A., Ernawati, T., & Indahsari, R. N. (2022). Pelatihan penelitian tindakan kelas bagi guru di masa pandemi. Jurnal Abdi Insani, 9(2), 268–275. https://doi.org/10.29303/abdiinsani.v9i2.628

Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. The Electronic Journal of E-Learning, 20(5), 259–270. https://doi.org/10.34190/ejel.20.5.2597

Wang, C., Zou, J., & Xie, Z. (2024). AI-powered educational data analysis for early identification of learning difficulties. Preprints. https://doi.org/10.20944/preprints202408.0226.v1

Zulkifli, D. (2023). The use of a collaborative learning strategy of think-pair-share by listening to English dialogues to improve learning outcomes. Sultra Educational Journal, 3(1), 25–34. https://doi.org/10.54297/seduj.v3i1.481

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Published

2025-12-24

How to Cite

Anam, S., Aziz Bukhori, H., Maulana, A., Yanti, I., & Gustiningsih Hapsani, A. (2025). IMPROVING MADRASAH TEACHERS’ COMPETENCIES IN ARTIFICIAL INTELLIGENCE-BASED LEARNING DATA PROCESSING IN BATU CITY. Community Service Journal of Indonesia, 7(2), 69–77. https://doi.org/10.36720/csji.v7i2.813