Rasyidi Faiz Akbar
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Tracer Study of Faculty of Economics and Business Alumni : To What Extent Are Graduates Categorized as Qualified? Nadia Asandimitra Haryono; Febrika Yogie Hermanto; Cahya, Septyan Budy; Ladi Wajuba Perdini Fisabilillah; Khusnul Fikriyah; Vivi Pratiwi; Insyirah Putikadea; Amirusholihin Amirusholihin; Veni Rafida; Rasyidi Faiz Akbar; Fresha Kharisma
International Journal of Educational Research Vol. 2 No. 1 (2025): International Journal of Educational Research
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijer.v2i1.125

Abstract

Tracer study of Surabaya State University has been conducted in each study program in order to fulfill accreditation needs. Instrument development is still carried out independently at the study program and faculty levels so that the disparity of instruments in each faculty is very high. This study will later aim to create an effective alumni tracing model in achieving a response rate. Because in several universities throughout Indonesia, a superior model has not been found and detailed properly. The type of research used is descriptive qualitative. The population in this study were graduates of the Faculty of Economics and Business, Universitas Negeri Surabaya who had obtained diplomas throughout 2022. The sample used was a saturated sample considering that this study aims to explore graduate data related to careers. The results showed that the response rate reached 100%, with more than 67.8% of graduates getting jobs in less than six months with an income of at least 1.2 times the UMP, exceeding the institution's target. This tracer study plays an important role in evaluating the quality of graduates and the relevance of education to the world of work. These findings provide a basis for improving the curriculum and quality of education at Universitas Negeri Surabaya.
TRANSFORMFORMASI DIGITAL DALAM PENDIDIKAN TINGGI: PENGARUH PENGGUNAAN AI, SELF-EFFICACY, DAN BUDAYA ORGANISASI TERHADAP KINERJA DOSEN Kharisma, Fresha Kharisma; Irwan Adimas Ganda Saputra; Muhammad Fajar Wahyudi Rahman; Wenny Restikasari; Rasyidi Faiz Akbar; Mentari Septynaputri Widodo; Nurwinsyah Rohmaningtyas
Jurnal Bisnis Terapan Vol. 10 No. 1 (2026): Jurnal Bisnis Terapan
Publisher : Politeknik Ubaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/jbt.v10i1.8111

Abstract

Digital transformation in higher education is growing rapidly with the increasing use of Artificial Intelligence (AI) for learning and research activities. However, the success of AI implementation is greatly influenced by individual and organizational factors, including lecturer self-efficacy and organizational culture. This study aims to analyze the influence of AI use, self-efficacy, and organizational culture on lecturer performance in supporting Sustainable Development Goals (SDG) 4 on quality education. The research method uses a quantitative approach with a survey of 200 lecturers from various universities in Indonesia. Data were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results showed that AI (β = 0.342; p < 0.001), organizational culture (β = 0.248; p < 0.001), and self-efficacy (β = 0.354; p < 0.001) have a positive and significant effect on lecturer performance. However, the moderating effect of organizational culture on the relationship between AI and lecturer performance was not significant. This research emphasizes the importance of individual preparedness and organizational support in improving lecturer performance through the use of digital technology. These findings provide theoretical and practical contributions to the development of digital transformation policies in higher education.