Garuda - Garba Rujukan Digital

The Meaning of Kāfir in the Quran: A Study of Thematic Interpretation Ruslan, Ruslan; Khalik, Muh Fihris; Bakri, Mubarak; Maskur, Maskur; Pahrul, Pahrul
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 4 (2022): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i4.7387

This study aims to examine the meaning of the ‘kāfir’ diction in the Quran thematically. The type of research is a literature review with a thematic interpretation approach. Primary data sources consist of the Quran and the book of interpretation (Tafsir Al-Misbah by M. Quraish Shihab and Tafsīr al-Qur’ān al-Aẓim by Ibn Kaṡir). Secondary data sources consist of Arabic dictionaries, books, and journals that discuss the meaning of the ‘kāfir’ diction. Data were collected using documentation techniques and then analyzed using content analysis techniques. The results show that the meaning of the ‘kāfir’ diction in the Quran are (1) denying the existence and oneness of Allah, (2) covering up what is haq (true) or batil (false) and blocking others from Allah, (3) denying to the grace that has been given by Allah, and (4) people who make religion a play. Based on the variety of the ‘kāfir’ diction, it is recommended to Muslim readers not to rush to disbelieve in other Muslims. Because the verdict has social consequences and triggers the birth of a dispute.

The Role of Artificial Intelligence-Based Recommendation Systems in Selection of Courses for Students Akbar, Zulfikri; Sopandi, Encep; Badruzzaman, Badruzzaman; Khalik, Muh Fihris
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.671

Background. Modern higher education institutions are faced with complex challenges in developing curricula that suit students’ needs and interests. To overcome this challenge, artificial intelligence-based recommendation systems are an attractive alternative. This system can help students in selecting courses, providing suggestions that suit their interests and needs. Purpose. This research aims to understand students’ experiences and views on recommendation systems in selecting courses in higher education, with a focus on system effectiveness, level of student trust, and ease of use. The main objective is to identify the impact of recommendation systems on students’ academic decisions. Method. The research used a quantitative survey method of 20 students at universities by collecting data through online questionnaires. The results of the analysis show that the majority of respondents are experienced with the recommendation system, rely on it in selecting courses, and tend to follow the recommendations, as well as showing user satisfaction and the influence of the system on academic decisions. Results. The results of the study show that artificial intelligence-based recommendation systems play an important role in guiding students in their academic decision-making. However, there is a need for a deeper understanding of the factors that influence user satisfaction and system effectiveness. The interim conclusion emphasizes the need for further development and adjustment of the course recommendation system in order to increase its responsiveness to student needs. Conclusion. This conclusion is the basis for deeper reflection and the development of a course recommendation system that can more effectively meet student expectations and needs in the ever-developing era of higher education. In this way, this research has the potential to make a significant contribution to the development of more adaptive and responsive academic decision support systems.

Development of the Edpuzzle Platform as an Audio Visual Learning Media for Arabic Language Learning at Madrasah Aliyah Rachman, Andy; Sutisna, Dede; Sopiandi, Ii; Khalik, Muh Fihris; Nitin, Mahon
Journal International of Lingua and Technology Vol. 3 No. 1 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v3i1.564

The development of technology is currently growing so rapidly, various applications and online media are becoming increasingly popular to be used as learning media, including Youtube and Edpuzzle which can be used as learning support platforms with interactive, effective and fun video media for students. Arabic language learning with audio visual is needed by madrasah Aliyah students, so that learning is not boring and more interesting. This research aims to develop the Edupuzzle platform as an audio-visual learning media for Arabic language learning in madrasah Aliyah. The method used in this research is research and development with the Kemp model. Kemp's model is a learning design model designed in the early part of education aims to provide guidance to learners to think about general problems and learning objectives. The results of this study explain that the Edpuzzle platform can be used as audio-visual learning media in learning Arabic with audio visuals that can facilitate students in learning Arabic online. The conclusion of this research is that the Edpudzzle platform can be used as a learning medium for teachers, especially in Arabic language learning. the limitation of this research is that researchers only conduct research on the Edpudzzle platform for Arabic language learning, for that researchers hope that future researchers can conduct research with the same platform but more explained to support the teaching and learning process in other subjects.

The Role of Artificial Intelligence-Based Recommendation Systems in Selection of Courses for Students Akbar, Zulfikri; Sopandi, Encep; Badruzzaman, Badruzzaman; Khalik, Muh Fihris
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.671

Background. Modern higher education institutions are faced with complex challenges in developing curricula that suit students’ needs and interests. To overcome this challenge, artificial intelligence-based recommendation systems are an attractive alternative. This system can help students in selecting courses, providing suggestions that suit their interests and needs. Purpose. This research aims to understand students’ experiences and views on recommendation systems in selecting courses in higher education, with a focus on system effectiveness, level of student trust, and ease of use. The main objective is to identify the impact of recommendation systems on students’ academic decisions. Method. The research used a quantitative survey method of 20 students at universities by collecting data through online questionnaires. The results of the analysis show that the majority of respondents are experienced with the recommendation system, rely on it in selecting courses, and tend to follow the recommendations, as well as showing user satisfaction and the influence of the system on academic decisions. Results. The results of the study show that artificial intelligence-based recommendation systems play an important role in guiding students in their academic decision-making. However, there is a need for a deeper understanding of the factors that influence user satisfaction and system effectiveness. The interim conclusion emphasizes the need for further development and adjustment of the course recommendation system in order to increase its responsiveness to student needs. Conclusion. This conclusion is the basis for deeper reflection and the development of a course recommendation system that can more effectively meet student expectations and needs in the ever-developing era of higher education. In this way, this research has the potential to make a significant contribution to the development of more adaptive and responsive academic decision support systems.

Title

Found 4 Documents
Search

Abstract

Abstract

Abstract

Abstract

Title Search

Found 4 Documents Search

Abstract

Abstract

Abstract

Abstract

Title

Found 4 Documents
Search