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Faculty Policy Management in Improving Accreditation: A Study of Three Leading Study Programs at IAIN Ternate Annisah Naela Pake; Minggusta Juliadarma; Ramli Yusuf
Golden Ratio of Social Science and Education Vol. 6 No. 1.1 (2026): Special Issue: Transformation of Islamic and General Education in the Era of
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grsse.v6i1.1.2322

Abstract

Study program accreditation is a key indicator of higher education quality and requires systematic and sustainable policy management. This study aims to analyze the policy management of the Faculty of Islamic Education and Teacher Training (FTIK) of IAIN Ternate to improve the accreditation of superior study programs. The study used a light mixed methods approach with data collection techniques in the form of accreditation document studies, in-depth interviews with faculty leaders and study program heads, and strengthening descriptive quantitative data related to accreditation. The results show that planned, collaborative, and quality-oriented faculty policies play a significant role in improving the accreditation status of the Islamic Education Management Study Program, Islamic Religious Education, and Madrasah Ibtidaiyah Teacher Education programs. These policies are implemented through intensive mentoring, strengthening the culture of quality, and integrating Islamic education management values. This study confirms that the faculty is a strategic actor in the quality assurance system and accreditation improvement in Islamic higher education.
Analysis of the Influence of AI on Student Learning Motivation in the Digital Era Rosdiana Im; Mohtar Umasugi; Hamzah Umasugi; Adiyana Adam; Sahabuddin Lumbessy; Minggusta Juliadarma
Electronic Journal of Education, Social Economics and Technology Vol 6, No 1 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i1.384

Abstract

This study aims to analyze the influence of the application of artificial intelligence (AI) on students' learning motivation in the digital era, focusing on the local context in North Maluku. Using a descriptive quantitative approach, data was collected through a survey involving 150 respondents from various educational institutions in Ternate. The results of the study show that the integration of AI in learning can increase student motivation through an interactive and adaptive approach, as well as enable personalization of the learning experience. AI-based applications, such as Grammarly and Turnitin, have been shown to improve student learning outcomes by between 15-25%. However, challenges such as over-reliance on technology and limited infrastructure in the region were also identified. This study recommends the development of technology-based education policies, continuous training for educators, and equitable access to technology infrastructure to maximize the benefits of AI in education. These findings are expected to contribute significantly to the development of educational policies that are relevant to contemporary needs.
Mathematics Anxiety And Stress Coping Strategies Among Preservice Mathematics Teachers Ikrimah Ikrimah; Minggusta Juliadarma; Siti Fatima Abubakar; Abida Kisman
JTMT: Journal Tadris Matematika Vol 6 No 2 (2025): Volume 6, Issue 2, Desember 2025
Publisher : Universitas Islam Ahmad Dahlan (UIAD)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47435/jtmt.v6i2.4189

Abstract

Although numerous studies have examined mathematics anxiety among preservice teachers, research focusing on its association with stress coping strategies remains limited. This study collected data on mathematics anxiety and stress coping from 211 preservice mathematics teachers to investigate whether differences in mathematics anxiety exist based on the coping strategies they employed. A quantitative approach with a cross-sectional design was applied. The instruments included the Revised Mathematics Anxiety Survey (R-MANX) to assess mathematics anxiety and a stress coping questionnaire based on Lazarus and Folkman’s theory, categorized into Problem-Focused Coping (PFC) and Emotion-Focused Coping (EFC). Data were analyzed using descriptive statistics, cross-tabulation, and the Kruskal–Wallis H test. The findings revealed that most preservice mathematics teachers experienced moderate levels of mathematics anxiety. The majority of respondents predominantly relied on Emotion-Focused Coping (EFC) to manage stress, and this tendency was consistent across all levels of anxiety—low, moderate, and high. Although descriptive results indicated differences in coping preferences, statistical analysis showed no significant differences in mathematics anxiety across coping strategy types. Therefore, it can be concluded that coping strategies did not emerge as significant differentiating factors for mathematics anxiety among preservice mathematics teachers in this study