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All Journal Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi
Evander Banjarnahor
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Pelatihan SAP Analytics Cloud dan Pengenalan Canva di SLB Karya Murni Medan Jepronel Saragih; Ronald Belferik; Evander Banjarnahor
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 4 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i4.6853

Abstract

This community service activity is a collaborative initiative between Universitas Pelita Harapan and SLB Karya Murni Medan, aimed at enhancing digital literacy and technology skills among deaf students. The program focuses on two main areas: Data Science training using SAP Analytics Cloud (SAC) and digital banner and poster design training using Canva. In the SAC training, participants were introduced to fundamental concepts of data analytics, data modeling, data exploration, information visualization, and key features such as Smart Discovery, Designer Mode, and Data Explorer Mode. A COVID-19 dataset was used as a case study to help students understand basic data analysis processes, including how to build models, run simple machine learning algorithms, and generate interactive dashboards. All materials were designed using visual, demonstrative, and applicative approaches to ensure accessibility for students with special needs and to support a gradual learning process. In addition, the Canva training was provided to foster students’ creativity in creating informative and visually appealing digital banners and posters. The results of the program show that the students were able to create simple data models, understand basic visualizations, and produce digital design works. This program provides a meaningful contribution to the empowerment of inclusive education and strengthens sustainable collaboration between academic institutions and special education schools.
Peran Generative Artificial Intelligence dalam Meningkatkan Efisiensi Proses Pembelajaran di Tingkat Tinggi Wincent Wisely; Aurich Thedis; Roy, Roy; Alkaffy Kaffy Ramba; Evander Banjarnahor
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 6 No. 1 (2026): April 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v6i1.7542

Abstract

The development of Generative Artificial Intelligence (Gen AI) has significantly transformed the learning process, particularly in improving task completion efficiency. This study aims to analyze the effect of Gen AI usage on learning efficiency among high school students and university students. A quantitative approach was employed using a survey of 83 respondents. The variables examined include frequency of use, duration of use, and learning efficiency, which is measured based on task completion time. The results indicate that the level of Gen AI usage is relatively high, with a mean frequency of 3.51 and a mean duration of 3.53, while efficiency shows the highest mean value of 3.94. Regression analysis reveals that the model is statistically significant (p-value < 0.05) with a coefficient of determination of , indicating that 61.18% of the variance in learning efficiency is explained by the model. Partially, frequency of use has a positive and significant effect on efficiency ( ; p-value < 0.05), whereas duration of use is not statistically significant ( ; p-value > 0.05). These findings suggest that usage intensity plays a more critical role than usage duration. Overall, Gen AI is shown to enhance learning efficiency; however, its effectiveness depends on how users actively and appropriately engage with the technology.
Co-Authors Alkaffy Kaffy Ramba Aurich Thedis Jepronel Saragih Ronald Belferik Roy, Roy Wincent Wisely