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All Journal YUME : Journal of Management ABDIMASYA | Jurnal Pengabdian Pada Masyarakat
Muhammad Zikri Farhan
Universitas Merangin
Computer Science & IT Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Peran Literasi Digital dalam Meningkatkan Kinerja Guru melalui Kompetensi di SMAN 06 Merangin Bangko Muhammad Zikri Farhan; Mulia Aminurahman
YUME : Journal of Management Vol 9, No 1
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yume.v9i1.10817

Abstract

Kinerja guru menjadi salah satu indikator utama keberhasilan institusi pendidikan, sehingga faktor-faktor yang memengaruhinya menjadi perhatian penting bagi peneliti, pembuat kebijakan, dan praktisi pendidikan. Penelitian ini meneliti peran literasi digital sebagai konstruk utama yang pengaruhnya dimediasi oleh kompetensi terhadap kinerja guru  di SMAN 06 Merangin. Data dikumpulkan dari 63 guru dan dianalisis menggunakan SmartPLS versi 3.0. Hasil analisis menunjukkan bahwa literasi digital berpengaruh positif dan signifikan terhadap kinerja guru (β = 0,424; t = 3,508; p < 0,000), menandakan bahwa kemampuan guru dalam memanfaatkan teknologi digital meningkatkan efektivitas dan produktivitas pembelajaran. Selain itu, literasi digital juga memiliki pengaruh positif dan signifikan terhadap kompetensi (β = 0,742; t = 17,281; p < 0,000), kompetensi berpengaruh positif dan signifikan terhadap kinerja guru (β = 0,276; t = 2,180; p < 0,030), dan kompetensi memediasi hubungan antara literasi digital dan kinerja guru (β = 0,205; t = 2,093; p < 0,037). Temuan ini menekankan pentingnya penguatan literasi digital dan kompetensi guru untuk meningkatkan kualitas pembelajaran. Penelitian ini memberikan kontribusi pada literatur manajemen sumber daya manusia dan menawarkan implikasi praktis bagi sekolah dalam merancang intervensi terarah. Penelitian selanjutnya dapat menambahkan variabel lain seperti inovasi organisasi, komitmen kerja, kepemimpinan, dan budaya organisasi untuk pemahaman yang lebih komprehensif mengenai faktor-faktor penentu kinerja guru.
OPTIMALISASI PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM DIGITAL MARKETING UNTUK MENINGKATKAN KOMPETENSI MAHASISWA MENGHADAPI TRANSFORMASI BISNIS DIGITAL Mulia Aminurahman; Mukhlis Yunus; Muhammad Zikri Farhan; Nurul Fadila; Syarif Lovedly
AbdiMasya | Hira Institute Vol. 4 No. 1 (2026): Juli 2026
Publisher : Hira Institute

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Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly transformed digital marketing practices through automation, data analytics, and more effective content creation. However, many university students still lack adequate knowledge and practical skills to effectively utilize AI in digital marketing activities. This community service program aimed to enhance students' digital literacy and competencies in applying AI to digital marketing through an interactive online seminar conducted via Zoom Meeting. The program involved 180 participants from the Digital Business, Entrepreneurship, Economic Education, and Elementary School Teacher Education (PGSD) Study Programs at Universitas Merangin. An educational and participatory approach was employed through presentations delivered by practitioners and academics with expertise in digital marketing and artificial intelligence, followed by interactive discussions and question-and-answer sessions. The program was evaluated using a Google Forms questionnaire. The results showed that 94.1% of participants gained new insights into the application of AI in digital marketing, 91.7% felt better prepared to use AI tools to support digital marketing activities, and 89.4% perceived the online seminar as effective and interactive. These findings indicate that AI-based interactive seminars are effective in enhancing students' digital literacy, technology-based marketing competencies, and readiness to adapt to the ongoing digital transformation of the business environment.
Co-Authors Mukhlis Yunus Mulia Aminurahman Nurul Fadila Syarif Lovedly