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All Journal Asian Journal of Community Services (AJCS) Journal of Applied Artificial Intelligence in Education
Mustamin
Universitas Negeri Makassar
Computer Science & IT Education Social Sciences

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Galesong Youth Startup Training Based on Waste Management through the Less Contact Economy Hendra Jaya; Sapto Haryoko; Sutarsi Suhaeb; Sabran; Mustamin; Purnamawati; Riana T. Mangesa; Anita C. Dewi; Ridwansyah
Asian Journal of Community Services Vol. 2 No. 5 (2023): May, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajcs.v2i5.4256

Abstract

The objectives of the PKM activities are: 1) Carry out the waste processing (Collect, Recycle, Utilize); 2) waste management, marketing, and packaging materials. The PKM activity is Management Improvement through Waste management) starting with a Website-based Marketing system. Modules and Implementation Manual Provided to Partners to make it easier to understand. To measure the effectiveness of training activities by evaluating the implementation of training. The PKM training program through the DRPM grant can run well in post-pandemic situations and conditions in Takalar District, North Galesong District, and Aeng Batu-batu Village. Several programs have been adjusted, such as Mentoring activities, Technical Guidance, and face-to-face training, which are conditioned according to the post-Covid-19 health protocol. Partners already know about: (1). Implementing the management of fuel oil products originating from plastic waste; and (2). They are implementing handicraft products from plastic waste with high selling value
Explaining AI Anxiety Among University Students: The Roles of Career Anxiety, Dehumanization, and Algorithmic Fairness Mustamin; Ahmad Syarif Hidayatullah; Putri Nirmala; Akhmad Affandi; Della Fadhilatunisa
Journal of Applied Artificial Intelligence in Education Vol 1, No 2 (2026): January 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/jaaie.v1i2.10

Abstract

Beyond its instructional benefits, AI in higher education can evoke anxiety when students perceive AI as diminishing human uniqueness, disrupting career trajectories, or operating in ways that feel difficult to evaluate or contest. This study aims to examine the effects of career anxiety, dehumanization, and perceived algorithmic fairness on students’ AI anxiety in the context of AI-supported learning. Using an explanatory quantitative survey design, data were collected from 70 university students who actively used AI-based learning tools, and the proposed relationships were tested using PLS-SEM. The results indicate that career anxiety positively predicts AI anxiety (β = 0.234, t = 1.691, p = 0.045) and dehumanization is the strongest predictor (β = 0.415, t = 2.958, p = 0.002), whereas perceived algorithmic fairness is not significant (β = 0.103, t = 0.740, p = 0.230), with the model explaining 48.2% of the variance in AI anxiety (R² = 0.482). These findings imply that AI anxiety is driven more by emotional and identity-related threats than by fairness evaluations, suggesting that institutions should adopt human-centered AI integration, strengthen AI literacy, and provide career-focused and psychological support to reduce student anxiety in AI-supported learning environments.
Co-Authors Ahmad Syarif Hidayatullah Akhmad Affandi Anita C. Dewi Della Fadhilatunisa Hendra Jaya Purnamawati Putri Nirmala Riana T. Mangesa Ridwansyah Ridwansyah Sabran Sapto Haryoko Suhaeb, Sutarsi