Asmuri Asmuri
Universitas Islam Negeri Sultan Syarif Kasim Riau

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Hacking The Geneology and Typology of Reforming Malay-Nusantara Islamic Thought In Singapore's Al-Imam Magazine (1906-1908) Alimuddin Hassan Palawa; Agus Miftakus Surur; Dardiri Husni; Masbukin A Rajab; Asmuri Asmuri
NALAR Vol 7, No 1 (2023): Islamic Thought and Qur'anic Studies
Publisher : NALAR: Jurnal Peradaban dan Pemikiran Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/njppi.v7i1.6420

Abstract

Al-Imam is the first magazine in Persada Alam Melayu-Nusantara that promotes the renewal of Islamic thought and voices the awakening of the backwardness and stagnation of Muslims in this region in the first decade of the 20th century. The managers of Al-Imam magazine claim to be students of Sheikh al-Imam Muhammad Abduh and Rashid Ridha. Thus, in terms of spirit, material, and publishing format, Al-Imam magazine is a "duplication" and "extension" of Al-Manar magazine, which was published by Muhammad Abduh and Rashid Ridha in Cairo, Egypt, from 1898 to 1935. On this basis, the genealogy and typology of the renewal of thought voiced by Al-Imam magazine in the Malay-Nusantara region are based on and get a strong influence from the rational-progressive renewal of Islamic thought by Muhammad Abduh and Rashid Ridha, especially as stated in Al-Manar. Although Al-Imam magazine was only published for two years (19061908), its role and influence were large and wide in this region. The most obvious influence of Al-Imam Magazine is seen in the publication of Al-Munir magazine by Abdullah Ahmad in Padang in 19111915.Keywords:Al-Imam Magazine;Renewal of Islamic Thought;Malay-Nusantara
Hacking The Geneology and Typology Of Reforming Malay-Nusantara Islamic Thought In Singapore's Al-Imam Magazine (1906-1908) Alimuddin Hassan Palawa; Agus Miftakus Surur; Dardiri Husni; Masbukin A Rajab; Asmuri Asmuri
NALAR Vol 7 No 1 (2023): Islamic Thought and Qur'anic Studies
Publisher : Faculty of Ushuluddin, Adab, and Da'wah, State Islamic University of Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/njppi.v7i1.6420

Abstract

Al-Imam is the first magazine in Persada Alam Melayu-Nusantara that promotes the renewal of Islamic thought and voices the awakening of the backwardness and stagnation of Muslims in this region in the first decade of the 20th century. The managers of Al-Imam magazine claim to be students of Sheikh al-Imam Muhammad Abduh and Rashid Ridha. Thus, in terms of spirit, material, and publishing format, Al-Imam magazine is a "duplication" and "extension" of Al-Manar magazine, which was published by Muhammad Abduh and Rashid Ridha in Cairo, Egypt, from 1898 to 1935. On this basis, the genealogy and typology of the renewal of thought voiced by Al-Imam magazine in the Malay-Nusantara region are based on and get a strong influence from the rational-progressive renewal of Islamic thought by Muhammad Abduh and Rashid Ridha, especially as stated in Al-Manar. Although Al-Imam magazine was only published for two years (1906–1908), its role and influence were very large and wide in this region. The most obvious influence of Al-Imam Magazine is seen in the publication of Al-Munir magazine by Abdullah Ahmad in Padang in 1911–1915.
Strategy for Implementing Artificial Intelligence in the Lecturer Performance Evaluation System in Higher Education Roosita Cindrakasih; Jahara Jahara; Ita Soegiarto; Hadiansyah Ma’sum; Asmuri Asmuri
International Journal of Educational Narratives Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v2i2.822

Abstract

Background. Universities face challenges in improving the effectiveness of lecturer performance evaluation to support education and research development. Purpose. Artificial Intelligence (AI) offers the potential to optimize the evaluation process through automation, big data analysis, and smarter decision-making. Method. This research aims to identify and implement strategies for the implementation of artificial intelligence in lecturer performance evaluation systems in higher education. The main focus is to improve the objectivity, accuracy, and efficiency of the evaluation process, so as to provide more meaningful feedback to lecturers. This research uses qualitative and quantitative approaches. Data were obtained through literature studies, interviews with education and technology experts, and analysis of existing lecturer performance evaluation data. An AI system was developed to process and analyze evaluation data by utilizing machine learning algorithms to provide more accurate evaluation recommendations. Results. The result of this research is that implementing artificial intelligence in the lecturer performance evaluation system succeeded in improving the accuracy of the evaluation. The system is able to provide recommendations for lecturer development based on a thorough analysis of their performance. In addition, the time efficiency of the evaluation process was also significantly improved. Conclusion. The conclusion of this study shows that artificial intelligence implementation strategies can be successfully applied in lecturer performance evaluation systems in higher education. With increased objectivity, accuracy, and efficiency, this system makes a positive contribution to human resource management in the academic environment. It also encourages further implementation of AI technology in lecturer performance evaluation to improve the quality of higher education.