Peran Artificial Intelligence dalam Menunjang Kebutuhan SDGs dan Kemampuan Abad 21: A Systemic Literature Review Using Prisma

Rohim Rohim, Maimon Sumo, Moch. Haikal

Abstract

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis tren penelitian tentang peran artificial intelligence dalam menunjang kebutuhan SDGs dan kemampuan abad 21, sekaligus menjajaki peluang untuk pengembangan penelitian lebih lanjut, dikarenakan penelitian yang secara langsung membahas AI dengan SDGs dan Kemampuan abad 21 masih jarang dan belum dilakukan. Selain itu, penelitian ini menggunakan metode systemaic literature review yang menggunakan pedoman prisma. Dengan menggunakan pedoman prisma ditemukan 270 artikel yang relevan di database publish or perish, google scholar, scopus dan sinta, dengan 30 artikel yang publish pada tahun 2021-2025 pada database scopus dan sinta yang memenuhi kriteria inklusi dan ekslusi. Sedangkan untuk analisis data hasil penelitian digunakan metode bibliometrik dengan bantuan aplikasi Vosviewer. Hasil penelitian menunjukkan bahwa integrasi AI dengan SDGs dan kemampuan abad 21 masih belum diteliti secara langsung, sehingga ditemukan suatu peluang untuk dilakukan penelitian lanjutan yang secara langsung mengintegrasikan ketiganya. Untuk itu, peneliti menyarankan untuk penelitian lanjutan tentang integrasi ketiganya.

This study aims to identify and analyze research trends on the role of artificial intelligence in supporting the needs of SDGs and 21st century capabilities, as well as exploring opportunities for further research development, because research that directly discusses AI with SDGs and 21st century capabilities is still rare and has not been done. In addition, this study uses a systematic literature review method using the prism guideline. By using the prism guideline, 270 relevant articles were found in the publish or perish, google scholar, scopus and sinta databases, with 30 articles published in 2021-2025 in the scopus and sinta databases that met the inclusion and exclusion criteria. Meanwhile, for the analysis of research data, a bibliometric method was used with the help of the Vosviewer application. The results of the study indicate that the integration of AI with SDGs and 21st century capabilities has not been studied directly, so that an opportunity was found for further research that directly integrates the three. For this reason, the researcher suggests further research on the integration of the three.

Keywords

Artificial intelligence, SDGs, Kemampuan abad 21

Full Text:

PDF

References

Berikut saya rapikan ke format APA 7th edition (judul artikel sentence case, nama jurnal Title Case + italic, volume(issue) italic, halaman, lalu DOI/URL yang rapi).

Ahsan, N. (2023). Empowering tomorrow: A systematic approach to STEM education pedagogy for achieving sustainable development goals and students’ conceptual understanding. International Journal of Trends and Innovations in Business & Social Sciences, 1(4), 146–155. https://doi.org/10.48112/tibss.v1i4.676

Aji, D. P., Akhsan, H., & Marlina, L. (2025). Development of augmented reality-based and artificial intelligence-assisted e-modules on global warming materials to improve critical thinking skills of high school learners. Jurnal Penelitian Pendidikan IPA, 11(2), 702–713. https://doi.org/10.29303/jppipa.v11i2.9993

Al Husaeni, D. F., Haristiani, N., Wahyudin, W., & Rasim, R. (2024). Chatbot artificial intelligence as educational tools in science and engineering education: A literature review and bibliometric mapping analysis with its advantages and disadvantages. ASEAN Journal of Science and Engineering, 4(1), 93–118. https://doi.org/10.17509/ajse.v4i1.67429

Alamäki, A., Nyberg, C., Kimberley, A., & Salonen, A. O. (2024). Artificial intelligence literacy in sustainable development: A learning experiment in higher education. Frontiers in Education, 1–10. https://doi.org/10.3389/feduc.2024.1343406

Apriyanti, E., Fatria, E., Priadi, A., & Wilti, I. R. (2025). 21st century environmental education: A strategy for transforming community behavior in facing the environmental crisis. Indonesian Journal of Integrated Science Education, 7(1), 1–39. https://doi.org/10.29300/ijisedu.v7i1.4755

Arini, D., & Nursa’ban, M. (2024). Contribution of artificial intelligence (AI) in education to support the achievement of sustainable development goals (SDGs) 2030. Jurnal Penelitian Pendidikan IPA, 10(Special Issue), 39–45. https://doi.org/10.29303/jppipa.v10ispecialissue.8321

Bachmann, N., Tripathi, S., Brunner, M., & Jodlbauer, H. (2022). The contribution of data-driven technologies in achieving the sustainable development goals. Sustainability, 14(247), 1–33. https://doi.org/10.3390/su14052497

Benvenuti, M., Cangelosi, A., Weinberger, A., Mazzoni, E., Benassi, M., Barbaresi, M., & Orsoni, M. (2023). Artificial intelligence and human behavioral development: A perspective on new skills and competences acquisition for the educational context. Computers in Human Behavior, 148, Article 107903. https://doi.org/10.1016/j.chb.2023.107903

Cathrin, S., & Wikandaru, R. (2023). The future of character education in the era of artificial intelligence. Humanika, 23(1), 91–100. https://doi.org/10.21831/hum.v23i1.59741

Cowls, J., Tsamados, A., Taddeo, M., & Floridi, L. (2023). The AI gambit: Leveraging artificial intelligence to combat climate change—Opportunities, challenges, and recommendations. AI & Society, 38(1), 283–307. https://doi.org/10.1007/s00146-021-01294-x

Eka Andriani, A., Sri Sulistyorini, Arini Estiastuti, Siti Maryatul Kiptiyah, & Andarini Permata Chayaningtyas. (2023). Utilization of artificial intelligence as automatic assessment to improve the digital literacy of elementary school teacher. Jurnal SOLMA, 12(3), 1602–1610. https://doi.org/10.22236/solma.v12i3.13053

Galaz, V., Centeno, M. A., Callahan, P. W., Causevic, A., Patterson, T., Brass, I., Baum, S., Farber, D., Fischer, J., Garcia, D., McPhearson, T., Jimenez, D., King, B., Larcey, P., & Levy, K. (2021). Artificial intelligence, systemic risks, and sustainability. Technology in Society, 67, Article 101741. https://doi.org/10.1016/j.techsoc.2021.101741

Gupta, S., & Motlagh, M. (2020). The digitalization sustainability matrix: A participatory research tool for investigating digitainability. Sustainability, 12, Article 9283. https://doi.org/10.3390/su12219283

Hujjatusnaini, N., Corebima, A. D., Prawiro, S. R., & Gofur, A. (2022). The effect of blended project-based learning integrated with 21st-century skills on pre-service biology teachers’ higher-order thinking skills. Jurnal Pendidikan IPA Indonesia, 11(1), 104–118. https://doi.org/10.15294/jpii.v11i1.27148

Irwandani, Solviana, M. D., & Novitasari, A. (2024). Peran teknologi dalam manajemen inventarisasi laboratorium di SMP dan SMA: Systematic literature review dengan metode PRISMA. Jurnal Pendidikan Biologi, 13(2), 275–285.

Kurniawan, A., Khuzaini, & Shaddiq, S. (2024). Application of artificial intelligence in increasing the effectiveness of HR behavior in the era of Industry 4.0: Systematic literature review method. In 1st Al Banjari Postgraduate International Conference: Multidisciplinary Perspective on Sustainable Development 2024 (pp. 352–361).

Lestari, N. A. (2024). Profile of high school student’s scientific literacy to support SDGs’ 13 (climate action) on the global warming phenomenon. Jurnal Ilmiah Kependidikan, 13(2), 291–311. http://dx.doi.org/10.18592/tarbiyah.v13i2.13787

Marouli, C. (2021). Sustainability education for the future? Challenges and implications for education and pedagogy in the 21st century. Sustainability, 13(5), 1–15. https://doi.org/10.3390/su13052901

Nabila, N., Tapilouw, M. C., & Sucahyo, S. (2023). Biology learning innovation in the water pollution sub material based on sustainable development goals (SDGs) using the problem-based learning. BIO-INOVED: Jurnal Biologi-Inovasi Pendidikan, 5(3), 297. https://doi.org/10.20527/bino.v5i3.16718

Okagbue, E. F., Ezeachikulo, U. P., Akintunde, T. Y., Tsakuwa, M. B., Ilokanulo, S. N., Obiasoanya, K. M., Ilodibe, C. E., & Ouattara, C. A. T. (2023). A comprehensive overview of artificial intelligence and machine learning in education pedagogy: 21 years (2000–2021) of research indexed in the Scopus database. Social Sciences & Humanities Open, 8(1), 100655. https://doi.org/10.1016/j.ssaho.2023.100655

Okulich-Kazarin, V., Artyukhov, A., Skowron, Ł., Artyukhova, N., & Wołowiec, T. (2024). Will AI become a threat to higher education sustainability? A study of students’ views. Sustainability, 16, Article 4596. https://doi.org/10.3390/su16114596

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E., Mayo-Wilson, E., McDonald, S., & Moher, D. (2022). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Revista Panamericana de Salud Pública/Pan American Journal of Public Health, 46, e112. https://doi.org/10.26633/RPSP.2022.112

Purnell, P. J. (2022). A comparison of different methods of identifying publications related to the United Nations Sustainable Development Goals: Case study of SDG 13—Climate action. Quantitative Science Studies, 3(4), 976–1002. https://doi.org/10.1162/qss_a_00215

Rochman, S., Rustaman, N., Ramalis, T. R., Amri, K., & Zukmadini, A. Y. (2024). How bibliometric analysis using VOSviewer based on artificial intelligence data (using ResearchRabbit data): Explore research trends in hydrology content. ASEAN Journal of Science and Engineering, 4(2), 251–294. https://doi.org/10.175509/ajse.v4i2.71567

Sachyani, D., & Gal, A. (2025). Artificial intelligence tools in environmental education: Facilitating creative learning about complex interaction in nature. European Journal of Educational Research, 14(2), 395–413. https://doi.org/10.12973/eu-jer.14.2.395

Singh, A., Kanaujia, A., Singh, V. K., & Vinuesa, R. (2023). Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories. Sustainable Development, 1–31. https://doi.org/10.1002/sd.2706

Snejana, D. (2022). Applying artificial intelligence (AI) for mitigation climate change consequences of the natural disasters. Research Journal of Ecology and Environmental Sciences, 2(4), 211–218. https://doi.org/10.31586/rjees.2022.343

Sposato, M. (2025). A call for caution and evidence-based research on the impact of artificial intelligence in education. Quality Education for All, 2(1), 158–170. https://doi.org/10.1108/QEA-09-2024-0087

Tabaku, E., Vyshka, E., Kapçiu, R., Shehi, A., & Smajli, E. (2025). Utilizing artificial intelligence in energy management systems to improve carbon emission reduction and sustainability. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(1), 393–405. https://doi.org/10.22437/jiituj.v9i1.38665

Tareze, M., Astuti, I., & Afandi. (2022). Model pembelajaran kolaborasi SDGs dalam pendidikan formal sebagai pengenalan isu global untuk meningkatkan kesadaran sosial peserta didik. Visipena, 13(1), 42–53. https://doi.org/10.46244/visipena.v13i1.1978

Warastuti, W., Prayitno, H. J., & Rahmawati, L. E. (2025). Penerapan literasi digital dalam membangun kemampuan berpikir kritis siswa di sekolah dasar. Cetta: Jurnal Ilmu Pendidikan, 8(2), 350–365. https://jayapanguspress.penerbit.org/index.php/cetta

Wijaya, T. T., Yu, Q., Cao, Y., He, Y., & Leung, F. K. S. (2024). Latent profile analysis of AI literacy and trust in mathematics teachers and their relations with AI dependency and 21st-century skills. Behavioral Sciences, 14(11), Article 1008. https://doi.org/10.3390/bs14111008

Yeh, S., Wu, A., Yu, H., Wu, H. C., Kuo, Y., & Chen, P. (2021). Public perception of artificial intelligence and its connections to the Sustainable Development Goals. Sustainability, 13(16), Article 9165. https://doi.org/10.3390/su13169165

Kalau Mas Willy mau, saya bisa samakan gaya penulisan nama jurnal Indonesia (mis. “Jurnal Penelitian Pendidikan IPA” tetap italic, konsisten kapitalisasi), sekaligus cek yang masih “kosong” detailnya (mis. artikel “Irwandani…” belum ada DOI/URL di data awal).

DOI: https://doi.org/10.20961/inkuiri.v14i3.106138

Refbacks

  • There are currently no refbacks.