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Analisis Tasrif Kosakata Lingkungan dalam Al-Qur’an untuk Pendidikan Keberlanjutan Solihin; Dikdik Firman Sidik
Envirology Vol. 3 No. 2 (2025): ENVIROLOGY
Publisher : Universitas Persatuan Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65483/envirology.v3i2.325

Abstract

Krisis ekologis global kontemporer akibat perubahan iklim dan degradasi lingkungan menuntut rekonstruksi paradigma etis yang melampaui sekadar solusi teknokratis. Islam memiliki fondasi teologis yang kuat terhadap pelestarian alam, namun pemaknaan teks suci sering kali terjebak dalam batas normatif tanpa menyentuh akar linguistiknya. Penelitian ini bertujuan merumuskan konsep etika ekologis dalam Islam secara komprehensif melalui analisis morfologis (tasrif) dan semantis terhadap lima kosakata kunci dalam Al-Qur'an dan Hadis. Menggunakan pendekatan kualitatif-deskriptif dengan kerangka analisis semantik Toshihiko Izutsu dan perubahan morfologi bahasa Arab, penelitian ini membedah makna fundamental dari istilah al-Arḍ (bumi), al-Mā’ (air), al-Mīzān (keseimbangan), al-Fasād (kerusakan), dan al-Isrāf (pemborosan). Hasil penelitian menunjukkan bahwa kelima kosakata tersebut membentuk satu kesatuan teologi ekosentris yang integratif. Bumi dan air diposisikan sebagai amanah transendental serta hak publik milik bersama yang secara yuridis menolak praktik privatisasi dan eksploitasi kapitalistik sepihak. Sementara itu, krisis lingkungan diidentifikasi sebagai akibat langsung dari perilaku al-fasād (kerusakan) dan al-isrāf (konsumsi berlebih) manusia yang merusak tatanan al-mīzān kosmis yang telah diciptakan Allah dalam porsi yang seimbang. Sebagai bentuk implementasi taktis, pelestarian lingkungan dalam perspektif Islam memerlukan sinergi dari dua instrumen utama, yaitu penegakan regulasi kebijakan publik pro-lingkungan berbasis prinsip maqasid syariah demi keadilan air, serta internalisasi nilai ekopedagogi spiritual ke dalam kurikulum keagamaan dan manajemen lembaga pendidikan Islam guna membangun kecerdasan ekologis (ecological literacy) kolektif bagi generasi mendatang
Digital Customer Experience of UNIPI Admission Website: A Technology Acceptance Model Analysis Dikdik Firman Sidik; Muhammad Akil Hi Umar; Ihsan; Fadhil Qonia Zulfa; Agung Febriyadi Fazrin
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 11 No. 2 (2026): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v11i2.5935

Abstract

The digital transformation of academic services requires that university admission websites not only function informatively but also provide a positive digital experience. This study aims to analyze the influence of perceived usefulness and perceived ease of use on behavioral intention, mediated by Digital Customer Experience (DCX), within the Technology Acceptance Model (TAM) framework. An explanatory quantitative approach was employed through a survey of 200 prospective students using the admission website of Universitas Persatuan Islam. Data were analyzed using SEM-PLS with SmartPLS 4.0. The results indicate that perceived usefulness (β=0.452) and perceived ease of use (β=0.381) significantly affect DCX. DCX significantly influences behavioral intention (β=0.347) and partially mediates the effects of both exogenous variables. The model exhibits strong predictive power (R² DCX=0.648, R² BI=0.701). These findings offer an applicable DCX-TAM evaluation model to improve digital admission services in higher education.
Digital Experience, Trust, and Enrollment Intention in Islamic Higher Education: An SPSS-Based Study Dikdik Firman Sidik
Fahima Vol 5 No 2 (2026): Fahima
Publisher : Program Pascasarjana UNU Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54622/fahima.v5i2.845

Abstract

This study aims to analyze the influence of digital experience on enrollment intention in Islamic Higher Education Institutions with trust as a mediating variable. The research employed a quantitative approach with a cross-sectional survey design. Data were collected from 206 prospective students who were in the process of selecting Islamic Higher Education Institutions in Indonesia through an online questionnaire adapted from validated scales. Data analysis was conducted using SPSS version 26.0 through descriptive statistics, classical assumption testing, multiple regression analysis, and the Sobel mediation test. The results showed that digital experience has a positive and significant effect on trust (β = 0.752, p < 0.001), digital experience has a positive and significant effect on enrollment intention (β = 0.238, p < 0.001), and trust has a positive and significant effect on enrollment intention (β = 0.538, p < 0.001). Furthermore, trust was proven to partially mediate the relationship between digital experience and enrollment intention (indirect effect = 0.397, z = 7.856, p < 0.001). These findings confirm that superior digital experience not only directly drives enrollment intention but also indirectly through trust-building. This study provides theoretical contributions by extending the Technology Acceptance Model in the context of Islamic higher education marketing and offers practical implications for Islamic Higher Education institution administrators to optimize digital platforms and trust-based communication strategies.
THE GOVERNANCE OF ARTIFICIAL INTELLIGENCE: A COMPARATIVE POLICY ANALYSIS OF AI ETHICAL GUIDELINES IN SOUTHEAST ASIAN NATIONS Dikdik Firman Sidik; Unggul Sagena; Mehriniso Davletova; Dildora Khodjaeva
Cognitionis Civitatis et Politicae Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v2i3.2986

Abstract

The rapid development of Artificial Intelligence (AI) presents both opportunities and challenges for Southeast Asian nations, particularly in terms of governance and ethical considerations. While AI has the potential to drive economic growth and innovation, it also raises concerns about privacy, fairness, accountability, and transparency. However, the governance frameworks across Southeast Asia remain inconsistent, with countries at varying stages of implementing AI ethical guidelines. This study aims to conduct a comparative analysis of AI ethical policies across five Southeast Asian countries: Singapore, Malaysia, Indonesia, Thailand, and the Philippines. The research explores how these nations are addressing key ethical issues in AI governance and identifies gaps in their frameworks. A qualitative research design, using document analysis and semi-structured interviews with policymakers and experts, was employed to gather data on national AI strategies, regulations, and ethical guidelines. The findings reveal that Singapore and Malaysia have developed comprehensive and advanced AI ethics frameworks, while Indonesia and the Philippines are still in early stages of policy development. Thailand presents a balanced approach, focusing on both technological growth and social equity. The study concludes that there is a need for more coordinated AI governance in Southeast Asia to ensure responsible AI deployment that aligns with international ethical standards
Empowering Teachers: “Merdeka Belajar” Implementation Insights from Education Conference – A Qualitative Study Dikdik Firman Sidik
Indonesian Journal of Education and Social Studies Vol 1, No 2 (2022)
Publisher : Nurul Jadid University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/ijess.v1i2.7216

Abstract

This study aims to evaluate the effectiveness of the Darul Hikam Education Conference (DHEC) in 2022 in improving teacher readiness in implementing the Merdeka Belajar Curriculum in junior high schools in Bandung City. The research method used is qualitative with a case study approach. Data was collected through interviews with 5 teachers who attended the conference and documentation of conference activities. Data analysis was carried out using qualitative analysis methods. The study found that the DHEC was effective in improving teacher readiness in implementing the Merdeka Belajar Curriculum. The conference provided teachers with important knowledge and skills related to the curriculum and helped them to develop a positive attitude towards the curriculum. Teachers perceived the conference as an important and effective learning opportunity that helped them to overcome various challenges in implementing the curriculum. The study also found that documentation of conference activities provided important insights into the effectiveness of the conference. These data sources provided evidence of the ways in which the conference helped to improve teacher readiness and facilitate the implementation of the curriculum. Overall, this study provides important insights into the effectiveness of the DHEC in improving teacher readiness in implementing the Merdeka Belajar Curriculum. The findings of this study have important implications for educational practitioners and policymakers who seek to improve the implementation of the curriculum in schools.
LECTURERS' ACCEPTANCE OF GENERATIVE AI FOR OBE-BASED CURRICULUM DEVELOPMENT IN ISLAMIC HIGHER EDUCATION: THE ROLES OF AI LITERACY, PERCEIVED USEFULNESS, AND TRUST Dikdik Firman Sidik
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 4, No 1 (2026): Four International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The integration of generative artificial intelligence (GenAI) into higher education has created new possibilities for supporting complex academic tasks, yet its adoption for outcome-based education (OBE) curriculum development remains underexplored, particularly within Islamic higher education contexts. This study examines the roles of AI literacy, perceived usefulness, and trust in shaping lecturers' acceptance of GenAI for OBE-based curriculum development. Drawing on an extended Technology Acceptance Model (TAM) framework, the study proposes a parallel mediation model in which AI literacy serves as an antecedent that influences behavioral intention both directly and indirectly through perceived usefulness and trust as distinct mediating mechanisms. A quantitative cross-sectional survey was conducted with 248 lecturers from Indonesian Islamic higher education institutions who were involved in curriculum development activities. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed that AI literacy significantly and positively influenced perceived usefulness (β = 0.562, p < 0.001) and trust (β = 0.527, p < 0.001). Both perceived usefulness (β = 0.353, p < 0.001) and trust (β = 0.328, p < 0.001) significantly predicted acceptance, while AI literacy also exerted a significant direct effect (β = 0.238, p < 0.001). Mediation analysis confirmed that perceived usefulness and trust function as complementary partial mediators, with the total indirect effect (β = 0.371, p < 0.001) accounting for 65.5% of AI literacy's total effect on acceptance. The model explained 47.2% of the variance in lecturers' acceptance. These findings contribute theoretically by extending TAM with AI literacy as a multidimensional antecedent and by empirically validating parallel cognitive and relational pathways to GenAI acceptance in a task-specific professional context. Practically, the study provides evidence-based recommendations for Islamic higher education institutions seeking to promote responsible GenAI adoption through comprehensive AI literacy development, simultaneous attention to utility demonstration and trust-building, and institutionalized human-in-the-loop verification protocols.