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Advanced digital competency assessment of vocational teachers': A new approach based on fuzzy-analytical hierarcy process Ramadhan Islami, Aditya; Abdullah, Ade Gafar; Widiaty, Isma; Yulia, Cica; Lukman Hakim, Dadang; Handoko, Erfan; Subekti, Eri; Rahmawati, Sherly
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp2781-2795

Abstract

Teachers need digital competence to adapt easily to the current digital era. This study tries to discover the perceptions of vocational high school (VHS) teachers in Indonesia related to advanced digital competencies, which include information, communication, content creation, digital security, and problem-solving competencies. The multi-criteria Analytical Hierarchy Process (AHP) problem-solving method is used to rank the priority digital competencies that are most mastered by the respondents, and then their performance is validated by the fuzzy AHP artificial intelligence-based method. A poll was conducted with 392 respondents, with the research instrument adopting the digital competency measurement platform from DigComp. The study's results show that the fuzzy AHP method has proven that the classical AHP method is a very good way to prioritize VHS teachers' digital skills based on several factors. The two methods gave almost identical results in determining the priority order of VHS teacher digital competencies. The survey results reveal that VHS teachers in Indonesia must immediately develop their skills in terms of digital content creation and digital security. Teachers, teacher professional organizations, and decision-makers are expected to use the findings of this study as a reference in implementing VHS teacher digital competency improvement trainings.
Pengaruh Promosi Media Sosial Terhadap Keputusan Pembelian Produk Sosis Solo Aneka Rasa Purnamasari, Pupung; Irawan, Fajrul; Rahmawati, Sherly; Holivah, Lilis
PENG: Jurnal Ekonomi dan Manajemen Vol. 2 No. 2 (2025): Juli: Development Economics and Regular Economics
Publisher : Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/vftvd137

Abstract

This study aims to analyze the effect of promotion through social media on purchasing decisions for Sosis Solo Aneka Rasa products. Promotion through social media has become one of the important marketing strategies for small and medium enterprises in increasing sales and competitiveness in the digital era. The research method used is a quantitative approach with data collection techniques in the form of questionnaires distributed to 30 respondents, namely consumers who have purchased Sosis Solo Aneka Rasa products. Data analysis was carried out using simple linear regression to test the relationship between promotional intensity on social media, attractiveness of promotional content, and trust in products with purchasing decisions.  The results showed that promotion through social media significantly influenced consumer purchasing decisions. The attractiveness factor of promotional content has the greatest contribution in influencing purchasing decisions, followed by promotional intensity and trust in products. These findings indicate the importance for businesses to design creative, attractive, and reliable social media promotion strategies to encourage consumer interest and purchasing decisions. This research contributes to the development of effective digital marketing strategies for small and medium enterprises, especially in utilizing social media to increase sales. 
Digital Skills in Technical and Vocational Education: A Data-Driven Analysis of TVET Competency Trends Rahmawati, Sherly; Abdullah, Ade Gafar; Widiaty, Isma
Journal of Vocational Education Studies Vol. 8 No. 2 (2025): Vol 8 No 2
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/joves.v8i2.13296

Abstract

In the age of digital transformation, digital competence has become crucial for vocational educators to effectively align learning practices with the changing demands of the industry. This study aims to analyze the global development and thematic trends surrounding digital competence in Technical and Vocational Education and Training (TVET) through a combined approach of bibliometric analysis and a systematic literature review, referred to as Systematic Literature Network Analysis (SLNA). Utilizing Scopus as the primary database, the research retrieved 216 articles and employed bibliometric visualization tools (Bibliometrix, Biblioshiny, VOSviewer) alongside eligibility criteria-based screening for the systematic review. The results reveal three key insights: (1) significant connections between digital competence and the advancement of AI in vocational education, (2) the emerging importance of interaction and social competence in enhancing digital literacy, and (3) the limited yet essential integration of AI literacy within current digital competence frameworks. Two selected articles from the systematic literature review suggest that the combination of digital and social competencies is vital for preparing vocational teachers and students for the demands of a technology-driven workforce. This study underscores the necessity for a forward-looking digital competence framework that addresses the interplay between digital skills, social skills, and AI readiness within vocational education contexts.
The New Educational Frontier: Agentic AI's Evolutionary Journey Through The Lens of SPAR-4-SLR Mubaroq, Sugeng Rifqi; Wicaksono, Mokhamad Arfan; Rahmawati, Sherly; Gustiana, Iyan; Dhina, Meiry Akmara
VOCATECH: Vocational Education and Technology Journal Vol 7, No 2 (2025): December
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v7i2.249

Abstract

AbstractThe emergence of Agentic Artificial Intelligence (AI) represents a fundamental transformation in educational technology, characterized by systems capable of autonomous, adaptive, and proactive operation. This systematic literature review employs the SPAR-4-SLR methodology to analyze 281 publications from Scopus, with 251 articles retained after temporal filtering (2010-2024), revealing the evolutionary trajectory of Agentic AI in education. The analysis identifies three distinct evolutionary eras: the Early Era (2010-2015) characterized by rule-based intelligent tutoring systems exhibiting proto-agentic behaviors, the Transitional Era (2016-2019) marked by enhanced adaptive systems leveraging learning analytics and machine learning, and the Agentic Era (2020-2024) distinguished by sophisticated autonomous systems powered by Large Language Models. Through integrated bibliometric, co-occurrence network, and thematic analyses, the study establishes a conceptual framework encompassing five defining characteristics of Agentic AI: learning initiative, dynamic adaptability, multi-modal interaction, persistence and memory, and collaboration with human actors. Co-citation network analysis reveals the intellectual structure connecting foundational intelligent tutoring research to contemporary generative AI applications. Despite exponential growth in publications, significant gaps persist in theoretical conceptualization of agency, longitudinal impact evidence, and implementation across diverse educational contexts, particularly at primary education levels. This study provides a comprehensive research agenda addressing theoretical, methodological, and implementation gaps to advance the effective and equitable development of Agentic AI in education. AbstrakKemunculan Agen Artificial Intelligence (AI) merepresentasikan transformasi fundamental dalam teknologi pendidikan, yang dicirikan oleh sistem yang mampu beroperasi secara otonom, adaptif, dan proaktif. Tinjauan literatur sistematis ini menggunakan metodologi SPAR-4-SLR untuk menganalisis 281 publikasi dari Scopus, dengan 251 artikel dipertahankan setelah penyaringan temporal (2010-2024), mengungkap trajektori evolusi Agen AI dalam pendidikan. Analisis mengidentifikasi tiga era evolusi yang berbeda: Era Awal (2010-2015) yang dicirikan oleh sistem tutoring cerdas berbasis aturan yang menunjukkan perilaku proto-agentik, Era Transisional (2016-2019) yang ditandai oleh sistem adaptif yang memanfaatkan analitik pembelajaran dan pembelajaran mesin, dan Era Agentik (2020-2024) yang dibedakan oleh sistem otonom yang canggih dan didukung oleh Model Bahasa Besar. Melalui analisis bibliometrik, jaringan ko-okurensi, dan tematik yang terintegrasi, studi ini menetapkan kerangka konseptual yang mencakup lima karakteristik pendefinisi Agen AI: inisiatif pembelajaran, adaptabilitas dinamis, interaksi multi-modal, persistensi dan memori, serta kolaborasi dengan aktor manusia. Analisis jaringan ko-sitasi mengungkap struktur intelektual yang menghubungkan penelitian tutoring cerdas fundamental dengan aplikasi AI generatif kontemporer. Meskipun terjadi pertumbuhan eksponensial dalam publikasi, kesenjangan signifikan masih tetap ada dalam konseptualisasi teoretis mengenai agensi, bukti dampak longitudinal, dan implementasi di berbagai konteks pendidikan, khususnya pada tingkat pendidikan dasar. Studi ini menyediakan agenda penelitian komprehensif yang mengatasi kesenjangan teoretis, metodologis, dan implementasi untuk memajukan pengembangan Agen AI yang efektif dan berkeadilan dalam pendidikan.