Pengenalan Pemrograman dan Kecerdasan Buatan bagi Masyarakat di Surabaya: dalam Kehidupan Sehari-hari dan pada Pendidikan Anak
Abstract
Perkembangan dan kepopuleran kecerdasan buatan (artificial intelligence) di Indonesia membuat masyarakat tertarik untuk mengetahui bagaimana kecerdasan buatan dapat membantu kehidupan sehari-hari mereka, serta bagaimana mereka dapat mengenalkan kecerdasan buatan kepada anak-anak mereka. Untuk menjawab ketertarikan tersebut, dilaksanakan pengabdian masyarakat dalam bentuk webinar mengenai penggunaan kecerdasan buatan dalam kehidupan sehari-hari, serta mengenai cara pengenalan kecerdasan buatan kepada anak-anak. Kegiatan pengabdian masyarakat ini dibagi menjadi dua tahapan yang dilakukan pada bulan Oktober 2024 serta Mei 2025. Pada kedua tahapan kegiatan pengabdian masyarakat ini, peserta dari masing-masing webinar diminta untuk mengisi survei. Dari hasil survei, dapat dilihat bahwa pengisi survei pada kegiatan pengabdian masyarakat tahap pertama memiliki kepercayaan diri yang cukup tinggi dalam menggunakan teknologi berbasis kecerdasan buatan. Dari kegiatan pengabdian masyarakat tahap kedua, dapat dilihat bahwa pengisi survei memandang penting untuk memasukkan pengenalan pemograman (coding) serta kecerdasan buatan pada kurikulum pendidikan dasar dan menengah.
The rise and popularity of artificial intelligence in Indonesia have heightened the enthusiasm among Indonesians to learn how to utilize artificial intelligence into their everyday lives and to teach it to their children. In response, a community service was conducted through webinars on the use of artificial intelligence into daily life and on teaching artificial intelligence concepts to children. This community service consisted of two phases, which took place in October 2024 and May 2025. At both stages, attendees from each webinar were asked to complete a survey. The survey finding indicate that respondents in the first phase of community service possess a strong level of self-confidence in utilizing artificial intelligence-based technology. In the second phase of community service, survey respondents consider it important to include an introduction to coding and artificial intelligence in the elementary and secondary education curriculum.
Full Text:
PDFReferences
Barus, O. P., Pangaribuan, J. J., Romindo, R., Anggara, A., dan William, W., 2023, Penyuluhan mengenai artificial intelligence untuk siswa-siswi SMP dan SMA Sekolah Lentera Harapan Medan, ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains Dan Teknologi, vol. 2, no. 4, hal. 486–494, https://doi.org/10.55123/abdikan.v2i4.2281
Chen, L., Chen, P., dan Lin, Z., 2020, Artificial intelligence in education: A review, IEEE Access, vol. 8, hal. 75264-75278, https://doi.org/10.1109/ACCESS.2020.2988510
Dirgantara, A. dan Ramadhan, A, Gibran Sebut Pelajaran AI Masuk Kurikulum Sekolah Mulai Tahun Ajaran Baru, Kompas, https://nasional.kompas.com/read/2025/05/02/16160271/gibran-sebut-pelajaran-ai-masuk-kurikulum-sekolah-mulai-tahun-ajaran-baru, diakses tanggal 2 Mei 2025.
Elasri, M., Elharrouss, O., Al-Maadeed, S., dan Tairi, H., 2022, Image generation: A review, Neural Processing Letter, vol. 54, hal. 4609–4646, https://doi.org/10.1007/s11063-022-10777-x
Fajri, D.A., Mendikdasmen: Coding dan AI Akan Masuk Kurikulum Sekolah Mulai Semester Depan, Tempo, https://www.tempo.co/politik/mendikdasmen-coding-dan-ai-akan-masuk-kurikulum-sekolah-mulai-semester-depan-1201780, diakses tanggal 1 Mei 2025.
Farmita, A.R., 2024, Mengenal “halusinasi” AI generatif, Tempo, https://newsletter.tempo.co/read/1921643/cekfakta-279-mengenal-halusinasi-ai-generatif, diakses tanggal 28 September 2024.
Gupta, P., Ding, B., Guan, C., dan Ding, D., 2024, Generative AI: A systematic review using topic modelling techniques. Data and Information Management, vol. 8, no. 2, 100066, https://doi.org/10.1016/j.dim.2024.100066
Haenlein, M., dan Kaplan, A., 2019, A brief history of artificial intelligence: On the past, present, and future of artificial intelligence, California Management Review, vol. 61, no. 4, hal. 5-14, https://doi.org/10.1177/0008125619864925
Hamarashid, H.K., Saeed, S.A. dan Rashid, T.A., 2022, A comprehensive review and evaluation on text predictive and entertainment systems, Soft Computing, vol. 26, hal. 1541–1562, https://doi.org/10.1007/s00500-021-06691-4
Hao, K., 2019, AI is sending people to jail—and getting it wrong, MIT Technology Review, https://www.technologyreview.com/2019/01/21/137783/algorithms-criminal-justice-ai/, diakses tanggal 20 Agustus 2024.
Harris, D.E., dan Willner, D., 2024, Was an AI image generator taken down for making child porn? An inquiry into models that can create child sexual abuse material may have yielded results, IEEE Spectrum, https://spectrum.ieee.org/stable-diffusion, diakses tanggal 20 Agustus 2024.
Hicks, M.T., Humphries, J., dan Slater, J., 2024, ChatGPT is bullshit, Ethics and Information Technology, vol. 26, no. 38, https://doi.org/10.1007/s10676-024-09775-5
Hoy, M. B., 2018, Alexa, Siri, Cortana, and more: An introduction to voice assistants, Medical Reference Services Quarterly, vol. 37, no. 1, hal. 81–88, https://doi.org/10.1080/02763869.2018.1404391
Ipsos, 2023, Global view on A.I. 2023, https://www.ipsos.com/sites/default/files/ct/ news/documents/2023-07/Ipsos%20Global%20AI%202023%20Report-WEB_0.pdf, diakses tanggal 20 Agustus 2024.
Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., dan Kuusk, A., 2023, Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities, Expert Systems with Applications, vol. 216, 119456, https://doi.org/10.1016/j.eswa.2022.119456
Kalyan, K.S., 2024, A survey of GPT-3 family large language models including ChatGPT and GPT-4, Natural Language Processing Journal, vol. 6, 100048, https://doi.org/10.1016/j.nlp.2023.100048
Lambert, S.I., Madi, M., Sopka, S., Lenes, A., Stange, H., Buszello, C.-P., dan Stephan, A., 2023, An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals, npj Digital Medicine, vol. 6, no. 111, https://doi.org/10.1038/s41746-023-00852-5
LeCun, Y., Bengio, Y. dan Hinton, G., 2015, Deep learning, Nature, vol. 521, hal. 436–444, https://doi.org/10.1038/nature14539
Limna, P., 2023, Artificial Intelligence (AI) in the hospitality industry: A review article, International Journal of Computing Sciences Research, vol. 7, hal. 1306-1317, https://doi.org/10.25147/ijcsr.2017.001.1.103
Mohamed, Y.A., Khanan, A., Bashir, M., Mohamed, A.H.H.M., Adiel, M.A.E., dan Elsadig, M.A., 2024, The impact of artificial intelligence on language translation: A review, IEEE Access, vol. 12, hal. 25553-25579, https://doi.org/10.1109/ACCESS.2024.3366802
Mwenda, E., 2023, AI fails basic tests as students using it get answers wrong, Business Daily, https://www.businessdailyafrica.com/bd/corporate/technology/ai-fails-basic-tests-as-students-using-it-get-answers-wrong--4431696, diakses tanggal 20 Agustus 2024.
Nobles, A.L., Leas, E.C., Caputi, T.L., Zhu, S-H., Strathdee, S.A., dan Ayers, J.W., 2020, Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants, npj Digital Medicine, vol. 3, no. 11, https://doi.org/10.1038/s41746-019-0215-9
Nurani, S.K., 2024, 6 Juta Data NPWP Diduga Bocor Termasuk Joko Widodo, Gibran dan 23 Pejabat Lain, Respons Jokowi dan Sri Mulyani, Tempo, https://www.tempo.co/ ekonomi/6-juta-data-npwp-diduga-bocor-termasuk-joko-widodo-gibran-dan-23-pejabat-lain-respons-jokowi-dan-sri-mulyani-7360, diakses 10 November 2024.
Odeh, A., Odeh, N., dan Mohammed, A.S., 2024, A comparative review of AI techniques for automated code generation in software development: Advancements, challenges, and future directions, TEM Journal, vol. 13, no. 1, hal. 726-739, https://doi.org/10.18421/TEM131-76
Philipp, B., Alexander, H., Ralf, P., dan Martina, Z., 2023, What does the public think about artificial intelligence?—A criticality map to understand bias in the public perception of AI, Frontiers in Computer Science, vol. 5, https://doi.org/10.3389/fcomp.2023.1113903
Ray, P.P., 2023, ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope, Internet of Things and Cyber-Physical Systems, vol. 3, hal. 121-154, https://doi.org/10.1016/j.iotcps.2023.04.003
Roy, D. dan Dutta, M., 2022, A systematic review and research perspective on recommender systems. Journal of Big Data, vol. 9, no. 59, https://doi.org/10.1186/s40537-022-00592-5
Saifudin, I. dan Widiyaningtyas, T., 2024, Systematic literature review on recommender system: approach, problem, evaluation techniques, datasets, IEEE Access, vol. 12, hal. 19827-19847, https://doi.org/10.1109/ACCESS.2024.3359274
Sarabia, J., Marcano M., Pérez, J., Zubizarreta, A., dan Diaz, S., 2023, A review of shared control in automated vehicles: System evaluation, Frontiers in Control Engineering, vol. 3, https://doi.org/10.3389/fcteg.2022.1058923
Singh, P.K., Pramanik, P.K.D., Dey, A.K. dan Choudhury, P., 2021, Recommender systems: an overview, research trends, and future directions, International Journal of Business and Systems Research, vol. 15, no. 1, hal. 14-52.
Soori, M., Arezoo, B., dan Dastres, R., 2023, Artificial intelligence, machine learning and deep learning in advanced robotics, a review, Cognitive Robotics, vol. 3, hal. 54-70. https://doi.org/10.1016/j.cogr.2023.04.001
Strickland, E., 2024, 15 Graphs That Explain the State of AI in 2024 The AI Index tracks the generative AI boom, model costs, and responsible AI use, IEEE Spectrum. https://spectrum.ieee.org/ai-index-2024, diakses tanggal 20 Agustus 2024.
Turing, A.M., 1950, Computing machinery and intelligence, Mind, vol. 59, no. 236, hal. 433-460.
Valentino, V.H., Trinoto, A.A., dan Putra, D.S., 2021. Penyuluhan kecerdasan buatan (AI) pada kehidupan kita kepada warga villa Casablanca Depok, Jurnal PKM: Pengabdian kepada Masyarakat, vol. 4, no. 4, hal. 406-409.
Wicaksono, P., 2025, Ganjar Kritik Rencana AI Masuk Kurikulum, Tempo, https://www.tempo.co/digital/ganjar-kritik-rencana-ai-masuk-kurikulum-1875075, diakses 2 Juli 2025.
Zhang, Z., Liu, H., Lei, M., Yan, X., Wang, M., dan Hu, J., 2023, Review on the impacts of cooperative automated driving on transportation and environment, Transportation Research Part D: Transport and Environment, vol. 115, 103607, https://doi.org/10.1016/j.trd.2023.103607
Refbacks
- There are currently no refbacks.
