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Konsep Mahar dalam Surah An-Nisa Ayat 4: Pendekatan Maqasid Al-Qur’an dalam Perspektif Rasyid Ridha Sulfa, Nafilah; Khair, Nafilatul
Al Karima : Jurnal Studi Ilmu Al Quran dan Tafsir Vol. 9 No. 1 (2025): Al Karima : Jurnal Studi Ilmu Al-Quran dan Tafsir
Publisher : Sekolah Tinggi Ilmu Al-Quran Isy Karima Karanganyar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58438/alkarima.v9i1.303

Abstract

This research is motivated by the attention of researchers to the current dowry problem which according to researchesrs is very irrelevant to sharia recommendation and provisions. Which at the time the dowryis more emphasized on the basis of interest and profit. This type of researchesr uses library researchesr or library researchesr. The data collection method used is the documentation method. Meanwhile, the analytical method used is the maudhui/thematic method, namely examining verses that have the same discussion and then compiling them into a discussion. The result of researchesr conducted by researchesrs on surah an-nisa verse 4 are: according to Rashid Ridha, dowry is something that is given by a man to a woman sincerely without any element of coercion and is an obligation due to marriage. A husband may not take anything from a wife except for the pleasure of a wife. Mahar is something tha is the right of a wife as compentation for the pleasure that wil be felt by a husband after they do the marriage.
Mastering the Teaching of Morphology Through Images Aided by Artificial Intelligence Qadir, Ach Mahfudz Abd; Khair, Nafilatul
Al-Irfan : Journal of Arabic Literature and Islamic Studies Vol. 8 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Darul Ulum Banyuanyar Pamekasan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58223/al-irfan.v8i1.301

Abstract

The problem of learning morphology, especially in Arabic, can be addressed by using AI-based images in a more visual and interactive way. Learning Using AI-based images makes learning problems can be solved in a more visual and interesting way, which makes learning sharaf easier to understand and more enjoyable. These images not only help students understand sharaf theory, but also see its application in a more real and relevant context. This study aims to analyze sharf learning using AI-based images. The method used is a Case Study with a Qualitative approach. Data collection techniques use interviews and observations with descriptive data analysis at darul Lughah wad Dirasitil Islmiyah Seninan Akkor Pamekasan. The results of the study show that the sharf learning process using AI-based images is very effective and makes learning not boring and tends to be fun