Pemanfaatan Artificial Intelligence sebagai Asisten Belajar Dalam Pembelajaran Pemrograman
DOI:
https://doi.org/10.60076/ijstech.v4i1.2101Keywords:
AI dalam Pembelajaran, Artificial Intelligence, Pembelajaran PemrogramanAbstract
Meningkatnya penggunaan Artificial Intelligence (AI) dalam pembelajaran pemrograman memunculkan berbagai temuan mengenai manfaat, risiko, dan tantangan implementasinya. Penelitian ini bertujuan mengidentifikasi jenis AI yang digunakan, tujuan penerapan, dampak, serta tantangan implementasinya dalam pembelajaran pemrograman. Penelitian menggunakan Systematic Literature Review (SLR) terhadap publikasi tahun 2022-2026, sehingga diperoleh 21 artikel yang memenuhi kriteria penelitian. Hasil kajian menunjukkan bahwa Generative AI dan Large Language Models (LLM) merupakan teknologi yang paling banyak digunakan, diikuti oleh berbagai teknologi AI lainnya. AI dimanfaatkan untuk mendukung personalisasi pembelajaran, pemberian umpan balik otomatis, pemecahan masalah, peningkatan keterlibatan belajar, serta proses pengajaran dan evaluasi. Secara umum, AI memberikan manfaat berupa peningkatan kinerja akademik, pemahaman konsep, pengalaman belajar yang lebih personal, dan efisiensi pengajar. Namun, implementasinya juga menghadirkan risiko ketergantungan, penurunan kemampuan berpikir kritis, potensi kecurangan akademik, serta isu akurasi, etika, dan privasi. Oleh karena itu, pemanfaatan AI perlu dilakukan secara bijak untuk memaksimalkan manfaat dan meminimalkan risiko yang ada
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D. Sundoro, M. Chandrawan, R. S. Tandilolo, and A. J. Lisal, “Studi Penggunaan Generative AI pada Mahasiswa Baru dengan Metode UTAUT: Studi Kasus di Perguruan Tinggi,” Prosiding Seminar Nasional Amikom Surakarta, vol. 10, no. 2, pp. 1531–1543, 2024.
Z. Efendi, M. A. F. Hanim, and A. Santoso, “Kecerdasan Buatan (AI) dalam Pendidikan: Tinjauan Literatur Sistematis tentang Peluang, Masalah Etika, dan Implikasi Pedagogis,” Jurnal Pendidikan, Kebudayaan dan Keislaman, vol. 4, no. 3, pp. 134–152, 2025, doi: 10.24260/jpkk.v4i3.5052. DOI: https://doi.org/10.24260/jpkk.v4i3.5052
A. A. Tantowi, “Literasi Kecerdasan Buatan: Dampak AI terhadap Kemajuan Pendidikan di Indonesia,” Journal of Computer Science and Information Technology (JCSIT), vol. 2, no. 4, pp. 488–493, 2025. DOI: https://doi.org/10.70248/jcsit.v2i4.3038
S. Salsabila and Sohidin, “Pemahaman Etika Akademik Mahasiswa dalam Penggunaan Artificial Intelligence (AI),” Journal of Education Research, vol. 5, no. 4, pp. 6671–6680, 2024, doi: 10.37985/jer.v5i4.1944. DOI: https://doi.org/10.37985/jer.v5i4.1944
Haris, Arsyanda, M. R. Darwis, M. R. Wahyudi JY, and M. Ilham, “Analisis Dampak Literasi AI terhadap Perubahan Norma dan Etika Akademik Mahasiwa,” Jurnal Pendidikan Terapan (Jupiter), vol. 2, no. 1, p. 66, 2024. DOI: https://doi.org/10.61255/jupiter.v2i1.200
T. Y. Palma, “Artifisial Intelligence Dalam Pendidikan: Kajian Literatur Mengenai Dampak Inovatif Dan Implikasi Moral,” Syntax Literate: Jurnal Ilmiah Indonesia, vol. 10, no. 11, pp. 9146–9154, 2025, doi: 10.36418/syntax-literate.v10i11.62284. DOI: https://doi.org/10.36418/syntax-literate.v10i11.62284
D. Vitalocca, Muridayanti, H. Ashari, E. Makmur, and N. M. Abdal, “Implementasi Unplugged Computational Thinking untuk Guru Mata Pelajaran Informatika se-Balikpapan,” ININNAWA: Jurnal Pengabdian Masyarakat, vol. 2, no. 1, pp. 91–98, 2024, doi: 10.26858/ininnawa.v2i1.2356. DOI: https://doi.org/10.26858/ininnawa.v2i1.2356
Verawati, R. Firdaus, and Herpratiwi, “Pemanfaatan Artificial Intelligence (AI) untuk Meningkatkan Kemampuan Belajar Informatika pada Siswa Sekolah Dasar Article Info,” Didaktika, vol. 4, no. 4, pp. 380–390, 2024. DOI: https://doi.org/10.17509/didaktika.v4i4.76936
R. M. Kamal, A. A. Samudra, and S. Junaidi, “Pengaruh Artificial Intelligence Terhadap Hasil Belajar Siswa Pada Mata Pelajaran Informatika di SMKN Enam Lingkung,” Jurnal Ilmu Komputer dan Bisnis, vol. 16, no. 1, pp. 35–40, May 2025, doi: 10.47927/jikb.v16i1.922. DOI: https://doi.org/10.47927/jikb.v16i1.922
I. J. Desrizal, Ta’ali, and T. S. Wahyuni, “Persepsi Guru SMK Terhadap Penerapan Kecerdasan Buatan Dalam Pembelajaran Informatika,” Pendas: Jurnal Ilmiah Pendidikan Dasar, vol. 10, no. 4, pp. 670–679, 2025, doi: 10.23969/jp.v10i4.37536.
B. Kitchenham, “Procedures for Performing Systematic Reviews,” Keele University, Keele, Staffordshire, UK, Tech. Rep. TR/SE-0401, 2004.
J. Nathaniel, S. S. Oyelere, J. Suhonen, and M. Tedre, “Literature Review on the Integration of Generative AI in Programming Education,” Int. J. Artif. Intell. Educ., vol. 35, pp. 2724–2755, Dec. 2025, doi: 10.1007/s40593-025-00524-3. DOI: https://doi.org/10.1007/s40593-025-00524-3
G. Fan, D. Liu, R. Zhang, and L. Pan, “The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches,” Int. J. STEM Educ., vol. 12, no. 1, pp. 1–17, 2025, doi: 10.1186/s40594-025-00537-3. DOI: https://doi.org/10.1186/s40594-025-00537-3
C. H. Tseng, H. C. K. Lin, A. C. W. Huang, and J. R. Lin, “Investigating the effects of PuppyCodeReview, an AI-based code review system, on students’ cognitive load,” SoftwareX, vol. 29, pp. 1–7, 2025, doi: 10.1016/j.softx.2025.102283. DOI: https://doi.org/10.2139/ssrn.5312187
M. B. Garcia, “Teaching and learning computer programming using ChatGPT: A rapid review of literature amid the rise of generative AI technologies,” Educ. Inf. Technol. (Dordr)., vol. 30, no. 12, pp. 16721–16745, Aug. 2025, doi: 10.1007/s10639-025-13452-5. DOI: https://doi.org/10.1007/s10639-025-13452-5
D. Stoyanova, S. Stoyanova-Petrova, S. Shotarova, S. Lyubomirov, and N. Mileva, “ChatGPT in Programming Education: An Empirical Study on Its Impact on Student Performance, Creativity, and Teamwork,” Educ. Sci. (Basel)., vol. 16, no. 1, p. 19, Dec. 2025, doi: 10.3390/educsci16010019. DOI: https://doi.org/10.3390/educsci16010019
R. Wang, J. Chen, J. Zhao, and H. Fu, “Exploring How to Improve Programming Learning Experience with Generative AI Tools: An Integrated Means-End Chain and fsQCA Approach,” Sage Open, vol. 16, no. 1, 2026, doi: 10.1177/21582440251413066. DOI: https://doi.org/10.1177/21582440251413066
N. Humble, “Risk Management Strategy for Generative AI in Computing Education: How to Handle the Strengths, Weaknesses, Opportunities, and Threats?,” International Journal of Educational Technology in Higher Education, vol. 21, no. 1, pp. 1–35, Dec. 2024, doi: 10.1186/s41239-024-00494-x. DOI: https://doi.org/10.1186/s41239-024-00494-x
N. Humble, J. Boustedt, H. Holmgren, G. Milutinovic, S. Seipel, and A. S. Östberg, “Cheaters or AI-Enhanced Learners: Consequences of ChatGPT for Programming Education,” Electronic Journal of e-Learning, vol. 22, no. 2 Special Issue, pp. 16–29, 2024, doi: 10.34190/ejel.21.5.3154. DOI: https://doi.org/10.34190/ejel.21.5.3154
J. C. Paiva, J. P. Leal, and Á. Figueira, “Automated Assessment in Computer Science Education: A State-of-the-Art Review,” ACM Transactions on Computing Education, vol. 22, no. 3, pp. 1–40, Jun. 2022, doi: 10.1145/3513140. DOI: https://doi.org/10.1145/3513140
K. Y. Lin, M. H. Li, F. ying Lo, H. C. Huang, K. Matsuno, and R. Watanabe, “Adaptive learning with human factors and Artificial Intelligence: Associations with Training Effectiveness in Programming Education,” Int. J. Ind. Ergon., vol. 110, Nov. 2025, doi: 10.1016/j.ergon.2025.103834. DOI: https://doi.org/10.1016/j.ergon.2025.103834
C. C. Y. Yang, M. J. Li, and A. Y. Q. Huang, “Leveraging Large Language Models to Enhance Self-Regulated Learning in Programming Education With Explainable AI,” J. Comput. Assist. Learn., vol. 42, no. 2, 2026, doi: 10.1002/jcal.70206. DOI: https://doi.org/10.1002/jcal.70206
A. Lathigara, N. Bhatt, P. Tanna, and C. Shingadiya, “From Passive to Participatory by Leveraging Artificial Intelligence for Active Learning Environments,” Journal of Engineering Education Transformations, vol. 39, no. 2, 2026. (Catatan: Jurnal cetak/penerbitan regional JEET belum melampirkan indeksasi DOI unik untuk edisi ini). DOI: https://doi.org/10.16920/jeet/2026/v39is2/26074
E. Dritsas and M. Trigka, “Data-centric Artificial Intelligence in Computing Education: Integrating Databases, Machine Learning, and Scalable Systems,” Computing, vol. 108, no. 82, pp. 1–32, Jun. 2026, doi: 10.1007/s00607-026-01675-4. DOI: https://doi.org/10.1007/s00607-026-01675-4
R. Chugh et al., “The Promise and Pitfalls: A Literature Review of Generative Artificial Intelligence as a Learning Assistant in ICT Education,” Computer Applications in Engineering Education, vol. 33, no. 2, pp. 1–18, Mar. 2025, doi: 10.1002/cae.70002. DOI: https://doi.org/10.1002/cae.70002
S. S. Kumar, M. A. Lones, M. Maarek, and H. Zantout, “Navigating the Landscape of Automated Feedback Generation Techniques for Programming Exercises,” ACM Transactions on Computing Education, vol. 25, no. 4, pp. 1–29, Oct. 2025, doi: 10.1145/3764593. DOI: https://doi.org/10.1145/3764593
X. Ye, W. Zhang, Y. Zhou, X. Li, and Q. Zhou, “Improving students’ programming performance: an integrated mind mapping and generative AI chatbot learning approach,” Humanit. Soc. Sci. Commun., vol. 12, no. 1, pp. 1–13, 2025, doi: 10.1057/s41599-025-04846-4. DOI: https://doi.org/10.1057/s41599-025-04846-4
J. Llerena-Izquierdo, J. Mendez-Reyes, R. Ayala-Carabajo, and C. Andrade-Martinez, “Innovations in Introductory Programming Education: The Role of AI with Google Colab and Gemini,” Educ. Sci. (Basel)., vol. 14, no. 12, pp. 1–19, 2024, doi: 10.3390/educsci14121330. DOI: https://doi.org/10.3390/educsci14121330
M. Shoaib, G. Husnain, N. Sayed, Y. Yasin Ghadi, M. Alajmi, and A. Qahmash, “Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks,” IEEE Access, vol. 13, pp. 16697–16715, 2025, doi: 10.1109/ACCESS.2025.3530474. DOI: https://doi.org/10.1109/ACCESS.2025.3530474
P. Bassner, B. Lenk-Ostendorf, R. Beinstingel, T. Wasner, and S. Krusche, “Less stress, better scores, same learning: The dissociation of performance and learning in AI-supported programming education,” Computers and Education: Artificial Intelligence, vol. 10, p. 100537, Jun. 2026, doi: 10.1016/j.caeai.2025.100537. DOI: https://doi.org/10.1016/j.caeai.2025.100537
A. Tlili, “Can artificial intelligence (AI) help in computer science education? A meta-analysis approach,” Revista Espanola de Pedagogia, vol. 82, no. 289, pp. 469–490, 2024, doi: 10.22550/2174-0909.4172. DOI: https://doi.org/10.22550/2174-0909.4172
T. Kosar, D. Ostojić, Y. D. Liu, and M. Mernik, “Computer Science Education in ChatGPT Era: Experiences from an Experiment in a Programming Course for Novice Programmers,” Mathematics, vol. 12, no. 5, pp. 1–22, 2024, doi: 10.3390/math12050629 DOI: https://doi.org/10.3390/math12050629
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