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Contact Name
Efraim Ferdinan Giri
Contact Email
efraim.giri@stieykpn.ac.id
Phone
+6285743404483
Journal Mail Official
jebstieykpn@gmail.com
Editorial Address
The Institutions of Research and Community Service (IRCS) YKPN School of Business Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Sekolah Tinggi Ilmu Ekonomi YKPN Yogyakarta Jalan Seturan, Sleman, DIY 55281 Telp. (0274) 486160, 486321 Fax. (0274) 486155
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Ekonomi dan Bisnis
ISSN : 19783116     EISSN : 26217880     DOI : https://doi.org/10.53916/jeb.v18i1
Jurnal Ekonomi dan Bisnis is a scientific journal published by the Institute Community Service Institute YKPN School of Business Research. JEB publishing is intended as a medium for presenting scientific works, both in the form of scientific studies and research results in the fields of economics and business. In addition, the issuance of JEB is also intended to complement the publication of the Journal of Accounting & Management (JAM) STIE YKPN Yogyakarta. Manuscripts of scientific studies and research results in accounting, management, and economics can be sent to the JEB Editorial Office Jalan Seturan, Yogyakarta 55281 or OJS jeb.stieykpn.ac.id or via e-mail jeb@stieykpn.ac.id. JEB is issued 3 (three) times in 1 year, namely in March, July, and November. To subscribe to JEB STIE YKPN Yogyakarta, please contact the JEB editorial office address.
Articles 72 Documents
LITERASI AI SEBAGAI KOMPETENSI ABAD KE-21: ANALISIS KONSEPTUAL DAN IMPLIKASI PENDIDIKAN Bambang Suripto
Jurnal Ekonomi Dan Bisnis Vol 20 No 1 (2026): Vol. 20 No.1 (2026): JEB Vol 20 No 1 Maret 2026
Publisher : LPPM STIE YKPN Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53916/jeb.v20i1.128

Abstract

The rapid advancement of artificial intelligence (AI) technology requires individuals to be prepared to understand, use, and critically evaluate its impacts. AI literacy has become a strategic key in fostering a society that is adaptive to digital transformation. However, conceptual understanding and the implementation of AI literacy remain diverse and uneven, particularly in developing countries. This study aims to systematically review the literature addressing the definitions, dimensions, learning approaches, as well as the challenges and implications of AI literacy development. The method employed is a systematic review of 20 scholarly articles published between 2018 and 2024, sourced from reputable databases such as Scopus and Google Scholar. The findings indicate that AI literacy encompasses cognitive, affective, and sociocultural dimensions, along with increasingly relevant technical and ethical aspects. The lack of explicit curricula, teacher training, and policy integration constitutes major barriers. This study emphasizes the importance of synergy among governments, educational institutions, and industry sectors in enhancing AI literacy capacity in a contextual and inclusive manner. The theoretical and practical implications of this review provide a foundation for the development of policies, curricula, and assessment instruments that support AI-based education.
FAKTOR – FAKTOR PENDORONG MAHASISWA MEMILIH BERKARIR SEBAGAI KONSULTAN PAJAK (Studi Empiris Mahasiswa S1 Akuntansi) Intan Rahma Sari; Aura Zahra Al Januar; Nayla Regita Cahyani; Sri Putri Winingrum W.A; Muliyani
Jurnal Ekonomi Dan Bisnis Vol 20 No 1 (2026): Vol. 20 No.1 (2026): JEB Vol 20 No 1 Maret 2026
Publisher : LPPM STIE YKPN Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53916/jeb.v20i1.129

Abstract

This study aims to examine the influence of motivation, self-efficacy, and taxation knowledge on accounting students’ interest in pursuing a career as tax consultants. This research employs a quantitative approach with purposive sampling. Data were collected through questionnaires distributed to 100 accounting students. The independent variables in this study are motivation, self-efficacy, and taxation knowledge, while the dependent variable is career interest as a tax consultant. Multiple linear regression analysis is used to assess the relationship between the independent and dependent variables. The findings indicate that motivation, self-efficacy, and taxation knowledge significantly and positively affect students’ interest in pursuing a career as tax consultants.