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Simulation of the Influence of Wind Speed on the Power Output of a Vertical Axis Wind Turbine Novan Habiburrahman Habiburahman; Novie Ary Priyanti; M. Zainul Muttaqin; Ari sam Primadiarta; Agung Hariadi
⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities Vol. 2 No. 2 (2025)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/vs7g2k63

Abstract

This study aims to analyze the effect of varying wind speeds on the power output generated by a Vertical Axis Wind Turbine (VAWT). This type of turbine holds great potential for harnessing wind energy in both urban and rural areas, particularly due to its ability to operate under fluctuating wind directions. The methodology employed is numerical simulation based on Computational Fluid Dynamics (CFD), which models fluid flow around the turbine rotor at wind speeds ranging from 2 m/s to 12 m/s. Key parameters analyzed include power coefficient (Cp), torque, and mechanical power output. The simulation results indicate a nonlinear relationship between wind speed and power output, where increasing wind speed significantly enhances power up to a certain optimum point, beyond which turbulence and energy losses become more dominant. These findings provide a foundation for optimizing VAWT design and selecting suitable installation sites according to local wind conditions. This research also supports the development of sustainable and environmentally friendly renewable energy technologies, particularly for small- to medium-scale applications.
Advanced Assistance in Scientific Manuscript Preparation Using Artificial Intelligence (AI), Google Scholar, and Reference Management Tools to Strengthen Students’ Academic Literacy and Publication Moch. Amrodji; Agung Hariadi; Hendrik Richard; Tries Edy Wahyono
⁠International Journal of Asia Pacific Community Service Vol. 3 No. 1 (2026)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/1v47tk27

Abstract

This community service program aimed to strengthen students’ academic literacy and improve the quality of scientific publications through advanced assistance in scientific manuscript preparation using Artificial Intelligence (AI), Google Scholar, and reference management tools. The activity involved undergraduate students and was conducted through training sessions, guided practice, and intensive mentoring focused on literature searching, citation management, academic paraphrasing, and manuscript organization. AI-based tools were introduced to support idea development, language refinement, and academic writing efficiency while maintaining research ethics and originality. The implementation results indicated increased student understanding of scientific writing techniques, improved ability to manage references systematically, and higher confidence in preparing publication-oriented manuscripts. Participants were also able to utilize digital academic resources more effectively in supporting evidence-based writing. Overall, the program contributed positively to enhancing students’ academic competencies and fostering a sustainable culture of scholarly writing in higher education.