Pemanfaatan Kecerdasan Buatan dalam Optimalisasi Pembelajaran Praktikum Komputer untuk Meningkatkan Pemahaman Siswa Sekolah Menengah Pertama
DOI:
https://doi.org/10.47065/jpm.v6i4.3129Keywords:
Artificial Intelligence; Student Training; Digital Literacy; Computer Practicum; Community ServiceAbstract
The development of artificial intelligence-based technology is currently increasingly rapid and has an impact on various areas of life, including education. This condition requires an increase in digital literacy skills from school age so that students are able to understand the development of technology that continues to develop. But in practice, computer learning at the junior high school level is still largely focused on the use of basic applications such as word processing, presentation, and office software. As a result, students' understanding of modern technology concepts, especially artificial intelligence, is still relatively low. Similar problems were also found in students at SMP PGRI Serpong who became partners in this community service activity. This service activity aims to introduce the basic concept of artificial intelligence and improve student understanding through training activities that are integrated with computer practicum. The implementation of activities is carried out through several stages, namely needs analysis, design of training materials and evaluation instruments, implementation of training, direct practice with mentoring, and evaluation of activity results. The training activities were carried out directly in the computer laboratory involving 30 students as participants. The material provided includes an introduction to the concept of artificial intelligence, examples of its implementation in daily life, as well as simple practices using visual learning platforms such as Scratch and Teachable Machine. The results of the activity showed an increase in students' understanding of the concept of artificial intelligence as shown through the comparison of pre-test and post-test scores. In addition, during the activity, there was also an increase in student participation and interest in technology learning. This activity also produces training modules that can be used by schools as supporting materials in computer practicum activities. Thus, this service program contributes to improving students' technological literacy and supporting the development of technology-based learning in the school environment.
Downloads
References
Al-qerem, W., Eberhardt, J., Jarab, A., Qader, A., Bawab, A., Hammad, A., Alasmari, F., Alazab, B., Husein, D. A., Alazab, J., & Al-beool, S. (2023). Exploring knowledge , attitudes , and practices towards artificial intelligence among health professions ’ students in Jordan. BMC Medical Informatics and Decision Making, 23(288), 1–7. https://doi.org/https://doi.org/10.1186/s12911-023-02403-0
Alkatheiri, M. S. (2022). Artificial intelligence assisted improved human-computer interactions for computer systems ?. Computers and Electrical Engineering, 101(August 2021), 107950. https://doi.org/10.1016/j.compeleceng.2022.107950
Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., & Alshaya, A. I. (2023). Revolutionizing healthcare?: the role of artificial intelligence in clinical practice. BMC Medical Education, 23(689), 1–15. https://doi.org/https://doi.org/10.1186/s12909-023-04698-z
Buabbas, A. J., Miskin, B., Alnaqi, A. A., Ayed, A. K., Shehab, A. A., Syed-abdul, S., & Uddin, M. (2023). Investigating Students ’ Perceptions towards Artificial Intelligence in Medical Education. Healthcare, 11(1298), 1–16. https://doi.org/https://doi.org/10.3390/ healthcare11091298
Demartini, C. G., Sciascia, L., & Bosso, A. (2024). Artificial Intelligence Bringing Improvements to Adaptive Learning in Education?: A Case Study. . . Sustainability, 16(1347). https://doi.org/https://doi.org/10.3390/ su16031347
Dolean, D. D., & Prodan, N. (2023). Let ’ s eat grandma?: Awareness of punctuation and capitalization rules ’ violations predicts the development of reading comprehension. Learning and Instruction, 86(7), 101780. https://doi.org/10.1016/j.learninstruc.2023.101780
Fan, X., & Zhong, X. (2022). Computers and Electrical Engineering. 100. https://doi.org/10.1016/j.compeleceng.2022.107957
Hemachandran, K., Verma, P., Pareek, P., Arora, N., Kumar, K. V. R., Ahanger, T. A., Pise, A. A., & Ratna, R. (2022). Artificial Intelligence?: A Universal Virtual Tool to Augment Tutoring in Higher Education. Computational Intelligence and Neuroscience, 8. https://doi.org/10.1155/2022/1410448
Indrawati, S., & Futra, D. (2025). Transformasi Pendidikan Melalui Kecerdasan Buatan ( AI ) Pada Pelaksanaan Kurikulum Pendidikan Dasar. Firdaus Journal, 5(2), 1–14. https://doi.org/https://doi.org/10.37134/firdaus.
Mccoy, L. G., Yu, F., Ng, C., Sauer, C. M., Edelwina, K., Legaspi, Y., Jain, B., Gallifant, J., Mcclurkin, M., Hammond, A., Goode, D., Gichoya, J., & Celi, L. A. (2024). Understanding and training for the impact of large language models and artificial intelligence in healthcare practice?: a narrative review. BMC Medical Education, 24(1096), 2–18. https://doi.org/https://doi.org/10.1186/s12909-024-06048-z
Ouyang, F., Wu, M., Zheng, L., Zhang, L., & Jiao, P. (2023). Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. International Journal of Educational Technology in Higher Education, 20(1), 1–23. https://doi.org/10.1186/s41239-022-00372-4
Sari, R. P., Febriyanto, F., & Adi, A. C. (2023). Analysis Implementation of the Ensemble Algorithm in Predicting Customer Churn in Telco Data: A Comparative Study. Informatica, 47(7), 63–70. https://doi.org/10.31449/inf.v47i7.4797
Velander, J., Ahmed, M., & Nuno, T. (2024). Artificial Intelligence in K ? 12 Education?: eliciting and reflecting on Swedish teachers ’ understanding of AI and its implications for teaching & learning. Education and Information Technologies, 29(4), 4085–4105. https://doi.org/10.1007/s10639-023-11990-4
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education?: A systematic literature review. Expert Systems With Applications, 252(PA), 124167. https://doi.org/10.1016/j.eswa.2024.124167
Willem, J., Witsenboer, A., & Sijtsma, K. (2022). Computers & Education Measuring cyber secure behavior of elementary and high school students in the Netherlands. Computers & Education, 85(101780), 104536. https://doi.org/10.1016/j.compedu.2022.104536
Xi-Hui Jia, Tu, J.-C. (2024). Towards a New Conceptual Model of AI-Enhanced Learning for College Students?: The Roles of Artificial Intelligence. Systems, 12(2). https://doi.org/https://doi.org/10.3390/systems12020074
Yang, Q. F., Lian, L. W., & Zhao, J. H. (2023). Developing a gamified artificial intelligence educational robot to promote learning effectiveness and behavior in laboratory safety courses for undergraduate students. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-023-00391-9
Zhu, Y., & Zhou, C. (2026). BMC Medical Education Article in Press Enhancing clinical training evaluation?: leveraging artificial intelligence algorithms for effective online practicum assessment IN AR IN. BMC Medical Education, 26. https://doi.org/https://doi.org/10.1186/s12909-026-08669-y
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Pemanfaatan Kecerdasan Buatan dalam Optimalisasi Pembelajaran Praktikum Komputer untuk Meningkatkan Pemahaman Siswa Sekolah Menengah Pertama
ARTICLE HISTORY
Issue
Section
Copyright (c) 2026 Kecitaan Harefa, Rinna Rachmatika, Joko Priambodo
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
