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Pengembangan “the Whispering Shelter” dengan Participatory Action Research untuk Meningkatkan SDM BUMDes Arumsari Arumsari; Saly Kurnia Octaviani; Bayu Dwi Raharja; Bachtiar Suryo Bawono
Educate: Journal of Community Service in Education Vol 6 No 1 (2026): Educate: Journal of Community Service in Education
Publisher : Universitas Veteran Bangun Nusantara

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Abstract

Kemajuan ekonomi masyarakat desa dipengaruhi oleh kualitas sumber daya manusia yang adaptif terhadap perkembangan kepariwisataan. Salah satu strategi peningkatan kesejahteraan masyarakat adalah penguatan kapasitas pengelola Badan Usaha Milik Desa (BumDes) melalui program pengabdian masyarakat. Penelitian ini bertujuan untuk meningkatkan kemampuan komunikasi Bahasa Inggris pengelola BumDes Sinergi Sidowayah sebagai bentuk layanan pemasyarakatan berbasis pemberdayaan komunitas. Hipotesis penelitian ini menyatakan bahwa pelatihan Bahasa Inggris dapat meningkatkan keterampilan berbicara dan kesiapan profesional pengelola dalam melayani wisatawan asing. Metode pelaksanaan menggunakan pendekatan partisipatif aksi penelitian dengan tahapan sosialissi, pelatihan berbasis praktik (role play), penerapan teknologi dengan website dan modul online bilingual, serta evaluasi berbasis Pre-Test dan Post-Test. Subjek penelitian terdiri dari 8 pengelola BumDes Sinergi yang dibagi ke dalam tiga kategori kemampuan: beginner, intermediate, dan advanced. Indikator utama keberhasilan diukur melalui peningkatan skor kemampuan berbicara Bahasa Inggris dan implementasi standar bilingual dalam layanan wisata.Hasil menunjukkan adanya peningkatan signifikan antara nilai rata-rata Pre-Test (78,89) dan Post-Test (86,63). Sebagai kesimpulan, pelatihan “The Whispering Shelter” terbukti efektif meningkatkan kapasitas SDM BumDes Sinergi dalam komunikasi internasional, sehingga memperkuat posisi desa wisata yang berkelanjutan. Program ini terbukti berguna sebagai model percontohan bagi pengembangan kapasitas SDM di desa wisata lain yang ingin mengintegrasikan standar bilingual dalam pelayanan wisatanya.
AI Adoption, Technostress, and Knowledge-Sharing Behaviour among University Students Cinthia Annisa Vinahapsari; Arumsari Arumsari; Maynard Zac Wibowo; Eny Rahma Zaenah; Thi Thu Hang Nguyen; Abdullahi Ndagi
TIJAB (The International Journal of Applied Business) Vol. 10 No. 2 (2026): JUNE 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/tijab.v10.I2.2026.86105

Abstract

Background: Despite growing attention to AI in education, existing studies have predominantly focused on learning outcomes and academic performance, while behavioural responses to AI adoption, particularly knowledge-sharing behaviour and the role of technostress, remain underexplored. Moreover, technostress is commonly viewed as a negative consequence of technology use, with a limited understanding of its potential role in stimulating adaptive collaborative behaviour among university students. Therefore, understanding the psychological and behavioural implications of AI adoption has become crucial to investigate in higher education contexts. Objective: This study examines the relationship between AI adoption and technostress, as well as knowledge-sharing behaviour, among university students. Method: A quantitative survey was conducted with 105 first-semester students who had experience using AI in their academic tasks. After screening, 84 valid responses were analysed using Partial Least Squares Structural Equation Modeling. Results: AI adoption significantly increases technostress. Unexpectedly, technostress is positively associated with knowledge-sharing behaviour rather than negatively, as commonly assumed. This finding aligns with the Job Demands–Resources (JD-R) perspective, in which technological demands may also stimulate adaptive collaboration. However, technostress does not significantly mediate the relationship between AI adoption and knowledge-sharing behaviour. Conclusion: By showing that technostress can serve as a context-dependent challenge that fosters, rather than suppresses, collaborative behaviour in AI-supported learning settings, this study contributes to the organizational behaviour literature. It further reveals that knowledge sharing is driven more by social adaptation than by technological pressure, offering new insight into how students respond to AI adoption in universities. Keywords: AI adoption; knowledge-sharing behaviour; organizational behaviour; technostress; university students