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Penguatan kompetensi mahasiswa melalui integrasi scite.AI dalam analisis literatur karya ilmiah Yunus, Santi; Yunus, Rita; Akbar, Muhammad; Albetris, Albetris; Sari, Nurfadilah Sindika
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i2.38569

Abstract

Abstrak Perkembangan Artificial Intelligence (AI) di pendidikan tinggi menghadirkan peluang dalam penguatan literasi akademik, khususnya pada kemampuan analisis literatur mahasiswa. Kegiatan pengabdian ini bertujuan meningkatkan kompetensi mahasiswa melalui integrasi Scite.AI sebagai pendukung analisis literatur dalam karya ilmiah. Program dilaksanakan pada 16 Agustus 2025 di Ruang BTE 21 dengan melibatkan 33 mahasiswa yang sedang atau akan menyusun tugas akhir. Metode yang digunakan adalah pelatihan berbasis pendampingan dengan desain workshop praktik dan pendekatan experiential learning. Kegiatan meliputi pemaparan konsep citation context, demonstrasi fitur Scite.AI, praktik analisis fungsi sitasi (mentioning, supporting, contrasting), serta diskusi dan refleksi. Hasil menunjukkan bahwa penggunaan Scite.AI membantu mahasiswa memahami konteks sitasi secara lebih kritis dan tidak lagi bergantung pada jumlah sitasi semata. Integrasi AI yang dipadukan dengan pendampingan terstruktur terbukti mendukung peningkatan ketelitian analisis literatur dan kualitas argumentasi ilmiah. Dengan demikian, pemanfaatan Scite.AI berbasis pendampingan dapat menjadi strategi efektif dalam memperkuat kompetensi literasi akademik mahasiswa di era digital. Kata kunci: artificial intelligence; scite.AI; analisis literatur; citation context; pendampingan. Abstract The development of Artificial Intelligence (AI) in higher education offers opportunities to strengthen students’ academic literacy, particularly in literature analysis skills. This community service program aimed to enhance students’ competencies by integrating Scite.AI as a tool to support literature analysis in academic writing. The program was conducted on August 16, 2025, in Room BTE 21 and involved 33 students preparing their undergraduate theses or scientific articles. The method employed was mentoring-based training combined with a practice-oriented workshop and an experiential learning approach. Activities included introducing citation context concepts, demonstrating Scite.AI features, practicing citation function analysis (mentioning, supporting, contrasting), and conducting guided discussions and reflections. The results indicate that Scite.AI helped students interpret citation contexts more critically and move beyond relying solely on citation counts. The integration of AI with structured mentoring contributed to improved rigor in literature analysis and stronger scientific argumentation. Therefore, mentoring-based integration of Scite.AI represents an effective strategy for strengthening academic literacy competencies in the digital era. Keywords: artificial intelligence; scite.AI; literature analysis; citation context; mentoring.
Strategic Capabilities and Muslim Entrepreneurial Behavior: The Mediating Role of Competitive Advantage on MSME Performance Sari, Nurfadilah Sindika; Akbar, Muhammad; Iskandar, Rizkiani; Utami, Ayu Putri; Wulandari, Efriza Pahlevi
Indonesian Journal of Business and Entrepreneurship Research Vol. 4 No. 1 (2026): Vol. 4, No. 1, February 2026: Indonesian Journal of Business and Entrepreneursh
Publisher : Department of Business and Entrepreneurship, Faculty of Economics and Business, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62794/ijober.v4i1.192

Abstract

This study examines the effects of product innovation, digital marketing, and Muslim entrepreneurial behavior on the performance of Sharia-based MSMEs, with competitive advantage serving as a mediating variable within the Resource-Based View (RBV) framework. A quantitative explanatory approach was employed using a census of 153 fashion-sector MSMEs. Data was collected through Likert-scale questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that product innovation and Muslim entrepreneurial behavior have a positive and significant effect on MSME performance, while digital marketing does not show a significant direct effect. Competitive advantage positively influences performance but only mediates the relationship between Muslim entrepreneurial behavior and performance; it does not mediate the effects of product innovation and digital marketing. These findings suggest that Muslim entrepreneurial behavior functions as an intangible strategic resource that builds Sharia-based reputational capital and enhances firm performance. This study extends the RBV framework within the Islamic economics context by highlighting the strategic role of Islamic values in shaping MSME capabilities and performance.