Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal GERAM (GERAKAN AKTIF MENULIS) International Journal of Zakat (IJAZ)
Efendi, Fathan Rizki
Unknown Affiliation
Religion Arts Education Languange, Linguistic, Communication & Media

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analisis Soal HOTS dalam Latihan Buku Teks Cerdas Cergas Berbahasa dan Bersastra Indonesia Kelas 12 Efendi, Fathan Rizki; Isnaeni, Hanifah Nurul; Saputra, Riski
GERAM (Gerakan Aktif Menulis) Vol. 13 No. 2 (2025): GERAM (Gerakan Aktif Menulis)
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia FKIP Universitas Islam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/geram.2025.22882

Abstract

This study aims to analyse the application of Higher Order Thinking Skills (HOTS) in the ‘Let's Practise’ exercises in the Cerdas Cergas Berbahasa dan Bersastra Indonesia (Smart and Agile in Indonesian Language and Literature) textbook for Year 12. The study focuses on three higher cognitive levels in Anderson's Taxonomy, namely C4 (analysis), C5 (evaluation), and C6 (creation). This study uses a descriptive qualitative approach by analysing 79 questions based on operational verbs and linguistic task contexts. The reliability of the classification is ensured through an inter-rater reliability procedure by two independent assessors. The results showed that all questions were within the HOTS domain, with the following distribution: C4 in 32 questions (40.5%), C5 in 28 questions (35.4%), and C6 in 19 questions (24.1%). This distribution indicates the dominance of analytical skills, followed by evaluative and creative skills. Conceptually, these results emphasise the importance of integrating evaluation (C5) and creation (C6) skills in Indonesian language learning to develop students' critical and expressive literacy competencies. Practically, these findings provide a basis for teachers, textbook authors, and curriculum developers to review and rewrite practice questions so that the proportion and depth of HOTS, particularly at the evaluation and creation levels, are more optimal in supporting the development of students' higher-order thinking skills.
Analisis Soal HOTS dalam Latihan Buku Teks Cerdas Cergas Berbahasa dan Bersastra Indonesia Kelas 12 Efendi, Fathan Rizki; Isnaeni, Hanifah Nurul; Saputra, Riski
GERAM (Gerakan Aktif Menulis) Vol. 13 No. 2 (2025): GERAM (Gerakan Aktif Menulis)
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia FKIP Universitas Islam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/geram.2025.22882

Abstract

This study aims to analyse the application of Higher Order Thinking Skills (HOTS) in the ‘Let's Practise’ exercises in the Cerdas Cergas Berbahasa dan Bersastra Indonesia (Smart and Agile in Indonesian Language and Literature) textbook for Year 12. The study focuses on three higher cognitive levels in Anderson's Taxonomy, namely C4 (analysis), C5 (evaluation), and C6 (creation). This study uses a descriptive qualitative approach by analysing 79 questions based on operational verbs and linguistic task contexts. The reliability of the classification is ensured through an inter-rater reliability procedure by two independent assessors. The results showed that all questions were within the HOTS domain, with the following distribution: C4 in 32 questions (40.5%), C5 in 28 questions (35.4%), and C6 in 19 questions (24.1%). This distribution indicates the dominance of analytical skills, followed by evaluative and creative skills. Conceptually, these results emphasise the importance of integrating evaluation (C5) and creation (C6) skills in Indonesian language learning to develop students' critical and expressive literacy competencies. Practically, these findings provide a basis for teachers, textbook authors, and curriculum developers to review and rewrite practice questions so that the proportion and depth of HOTS, particularly at the evaluation and creation levels, are more optimal in supporting the development of students' higher-order thinking skills.
Improving Zakat Management with SmartZiswaf: The Role of AI in Accountability and Fair Distribution Prabowo, Yuga Bayu; Efendi, Fathan Rizki
International Journal of Zakat Vol 11 No 1 (2026): International Journal of Zakat
Publisher : Center of Strategic Studies (PUSKAS) BAZNAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37706/ijaz.v11i1.769

Abstract

PurposeThis study analyzes the role of the AI-based SmartZiswaf platform developed by BAZNAS in strengthening digital accountability, improving reporting transparency, and supporting equitable zakat distribution within Indonesia’s national zakat governance system. Design/Methodology/ApproachThe study uses a qualitative descriptive approach with a case study method. It relies on secondary data from official BAZNAS publications, annual reports, zakat outlook documents, national zakat policies, and relevant academic literature published between 2021 and 2024. The analysis applies content analysis and thematic analysis to identify key governance and accountability patterns. FindingsThe findings show that SmartZiswaf improves administrative efficiency and transparency through real-time digital reporting. AI integration supports data verification, minimizes duplication of beneficiary records, and enables more systematic monitoring of zakat fund flows. These functions contribute to stronger digital accountability and a more structured approach to equitable zakat distribution. Research limitations/implicationsThe study relies on secondary data and focuses on a single institutional case. Future research should include primary data, such as interviews and user-level analysis, and conduct comparative studies across zakat institutions to assess broader governance impacts. Practical implicationsThe results provide insights for zakat institutions and policymakers on how AI-based digital platforms can strengthen governance, reporting systems, and distribution mechanisms. The SmartZiswaf model can serve as a reference for digital transformation in zakat management. Social implicationsImproved digital accountability and transparency can increase public trust in zakat institutions and support fairer distribution of zakat funds, which contributes to poverty alleviation and social welfare. Originality/valueThis study offers an institutional-level analysis of AI-supported zakat governance in Indonesia and contributes to the limited literature on digital accountability in zakat management through the use of an integrated AI-based platform.
Co-Authors Isnaeni, Hanifah Nurul Prabowo, Yuga Bayu Saputra, Riski