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All Journal Owner : Riset dan Jurnal Akuntansi Jurnal Penelitian dan Pengabdian Masyarakat
Amalina Nur Arifah
Universitas Siber Muhammadiyah
Humanities Economics, Econometrics & Finance Environmental Science Social Sciences Other

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Workshop Literasi AI untuk Pembuatan Bahan Ajar Digital bagi Guru SD hingga SMA/SMK Muhammad Fauzan Gustafi; Amalina Nur Arifah; Muhammad Haedar Zhafran Hidayatulloh
Jurnal Penelitian dan Pengabdian Masyarakat Vol. 4 No. 1 (2026): February 2026
Publisher : Yayasan Pondok Pesantren Sunan Bonang Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61231/evcn1241

Abstract

Digital literacy among educators in Indonesia, particularly regarding the use of Artificial Intelligence (AI) as an instructional tool, remains a critical challenge. This community service program aimed to improve AI literacy and practical skills in creating AI-based digital teaching materials among educators across educational levels, from elementary to senior high school (SD to SMA/SMK). The program was implemented through a series of workshops covering the use of Generative AI, Augmented Reality (AR), and Virtual Reality (VR) in learning design, conducted in Yogyakarta. Participants included 161 educators: 49 junior teachers (experience < 5 years) and 112 senior teachers (experience > 5 years). Data were collected through observation and documented through thematic analysis. Results showed that 100% of junior teachers and 72.32% of senior teachers (81 out of 112) had been exposed to generative AI tools prior to the workshop. Post-workshop evaluations indicated increased understanding of AI tools and improved ability to design AI-integrated teaching materials. Key barriers to AI adoption identified include limited digital infrastructure, low self-efficacy, and absence of structured AI training programs. The primary output of this program is a set of AI-based digital teaching materials produced by participants during the workshop. These findings contribute practical recommendations for designing scalable AI literacy training programs for educators in Indonesia.
Digital Transformation of Mosque Finance Through ERP System Implementation Amalina Nur Arifah; Ana Rimbasari; Nur Irsyad Musthafa
Owner : Riset dan Jurnal Akuntansi Vol. 10 No. 3 (2026): Periode Juli 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v10i3.3259

Abstract

As Islamic philanthropic initiatives expand, the digitalization of mosque financial management is becoming increasingly vital for ensuring transparency and accountability in the management of Zakat, Infaq, and Waqf (ZISWAF) funds. This research evaluates how four specific Enterprise Resource Planning (ERP) systems SIPZIS, Ikhlas App, Maslam, and a dedicated web-based platform perform in terms of transparency, efficiency, and user acceptance. We utilized a quantitative cross-sectional approach, gathering data from 40 respondents across four mosques in Indonesia. The sample consisted of 5 administrative staff and 5 congregants from each mosque, though actual distribution per mosque ranged from 9 to 11 respondents due to field conditions. Data were analyzed using one-way ANOVA and multiple regression analysis. The results indicate significant performance variations among the systems regarding transparency (F = 3.120, p = 0.037) and efficiency (F = 2.890, p = 0.049). Furthermore, the regression model (R² = 0.681) suggests that while both factors are important, transparency is the primary driver of user perception (? = 0.450, p = 0.001). These outcomes underscore that for financial technology to be accepted in Islamic institutions, the ability to report transparently is crucial for building trust among the congregation. This study fills a gap in the literature by comparing different ERPs in a faith-based setting and offers actionable insights for developers and mosque administrators aiming to improve digital governance.
Co-Authors Ana Rimbasari Muhammad Fauzan Gustafi Muhammad Haedar Zhafran Hidayatulloh Nur Irsyad Musthafa