Oct 2026· Jurnal Kreativitas dan Inovasi (Jurnal Kreanova)· Vol 6, pp. 93-99
Teaching and Learning Programming
Abstract
Akselerasi perkembangan teknologi Artificial Intelligence (AI) yang masif menuntut peningkatan kapasitas digital siswa kejuruan agar adaptif. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital dan keterampilan praktis siswa SMK Semen Gresik dalam mengembangkan website menggunakan AI serta mengevaluasi luaran kodenya secara kritis. Metode pelaksanaan diorganisasikan melalui transfer pengetahuan dan demonstrasi perumusan instruksi (prompt engineering) berbasis kerangka CRAFT (Context, Role, Action, Format, Tone). Program ini diselenggarakan pada 24 April 2026 dengan melibatkan siswa konsentrasi keahlian Rekayasa Perangkat Lunak (RPL). Hasil kegiatan mengindikasikan bahwa pemanfaatan AI mampu mengakselerasi alur perancangan antarmuka dan arsitektur halaman web secara signifikan. Siswa terbukti mampu mentransformasikan kebutuhan spesifikasi pengguna menjadi prompt terstruktur serta melakukan refinasi dan modifikasi mandiri terhadap basis kode yang dihasilkan. Integrasi AI ini terbukti memperkokoh pemahaman logika automasi proses digital tanpa mengeliminasi kendali kognitif dan daya kritis siswa (human-in-the-loop) dalam siklus pengembangan perangkat lunak.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9