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All Journal JURNAL KEPEMIMPINAN DAN PENGURUSAN SEKOLAH Arabiyatuna : Jurnal Bahasa Arab Ijaz Arabi Journal of Arabic Learning Dinasti International Journal of Management Science MAQASHID : Jurnal Hukum Islam Jurnal Pengabdian Masyarakat dan Penelitian Thawalib Abdimas Polsaka: Jurnal Pengabdian Masyarakat Mutiara: Multidiciplinary Scientifict Journal Jurnal Pertanian Khairun (JPK) Al-Tadris: Jurnal Pendidikan Bahasa Arab Jurnal Ilmiah Kesehatan Sandi Husada
Mustar Mustar, Mustar
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Religion Agriculture, Biological Sciences & Forestry Arts Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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The Future of AI in Arabic Language Education: Adoption, Expectations, and Pedagogical Implications Raswan, Raswan; Mustar, Mustar; Tamami, Keysa; Isnaini, Yesinta
Al-Tadris: Jurnal Pendidikan Bahasa Arab Vol 13 No 1 (2025): Al-Tadris: Jurnal Pendidikan Bahasa Arab
Publisher : Faculty of Education and Teachers Training of UIN Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/tadris.2025.13.1.1-32

Abstract

ملخص: فتح دمج الذكاء الاصطناعي (الذكاء الاصطناعي) في تعليم اللغة العربية آفاقا جديدة في طرق التعلم، مما يوفر تخصيصا وكفاءة وإمكانية وصول غير مسبوقة. ومع ذلك، لا يزال اعتماد الذكاء الاصطناعي في هذا المجال يواجه تحديات كبيرة، بما في ذلك استعداد المستخدم، والفعالية التربوية، والفجوات بين توقعات وحقائق تنفيذ التكنولوجيا. تهدف هذه الدراسة إلى دراسة مستوى تبني الذكاء الاصطناعي في تعلم اللغة العربية، وتوقعات المستخدمين من هذه التقنية، والآثار التربوية التي تسببها. استخدمت هذه الدراسة نهجا مختلطا مع استطلاعات كمية للطلاب والمحاضرين في العديد من مؤسسات التعليم العالي والمقابلات المتعمقة لاكتساب رؤى نوعية حول تجربة المستخدم. تم إجراء تحليل البيانات باستخدام الإحصاءات الوصفية والتحليل المواضيعي لتحديد أنماط الاستخدام والفوائد الرئيسية والعقبات التي تواجه تنفيذ الذكاء الاصطناعي. تكشف النتائج الرئيسية أن الذكاء الاصطناعي قد حسن كفاءة التعلم والوصول إلى الموارد الرقمية، ولكن لا يزال لديه قيود في جوانب التفاعل البشري وفهم السياقات اللغوية المعقدة. تؤكد استنتاج هذه الدراسة أن تحسين الذكاء الاصطناعي في تعليم اللغة العربية يتطلب نهجا تربويا أكثر تكيفا بالإضافة إلى زيادة محو الأمية الرقمية بين المستخدمين. تساهم الدراسة من خلال تقديم رؤى متعمقة حول العوامل المؤثرة في اعتماد الذكاء الاصطناعي بالإضافة إلى تقديم توصيات استراتيجية لمطوري التكنولوجيا والمعلمين لإنشاء نظام بيئي تعليمي قائم على الذكاء الاصطناعي أكثر ابتكارا وشمولية. الكلمات المفتاحية: التبني، الذكاء الاصطناعي، الفعالية، تعلم اللغة، علم أصول التدريس. Abstracts: The integration of artificial intelligence (AI) in Arabic language education has opened up new horizons in learning methods, offering unprecedented personalization, efficiency, and accessibility. However, the adoption of AI in this realm still faces major challenges, including user readiness, pedagogical effectiveness, and gaps between expectations and realities of technology implementation. This study aims to examine the level of adoption of AI in Arabic language learning, user expectations of this technology, and the pedagogical implications it causes. This study used a mixed-method approach with quantitative surveys of students and lecturers at several higher education institutions and in-depth interviews to gain qualitative insights into user experience. Data analysis was carried out using descriptive statistics and thematic analysis to identify usage patterns, key benefits, and obstacles faced in AI implementation. Key findings reveal that AI has improved learning efficiency and access to digital resources, but still has limitations in aspects of human interaction and understanding complex language contexts. The conclusion of this study confirms that the optimization of AI in Arabic language education requires a more adaptive pedagogical approach as well as an increase in digital literacy among users. The study contributes by offering in-depth insights into the factors influencing AI adoption as well as providing strategic recommendations for technology developers and educators to create a more innovative and inclusive AI-based learning ecosystem. Keywords: Adoption, Artificial Intelligence, Effectiveness, Language Learning, Pedagogy Abstrak: Integrasi kecerdasan buatan (AI) dalam pendidikan bahasa Arab telah membuka cakrawala baru dalam metode pembelajaran, menawarkan personalisasi, efisiensi, dan aksesibilitas yang belum pernah ada sebelumnya. Namun, adopsi AI dalam ranah ini masih menghadapi tantangan besar, termasuk kesiapan pengguna, efektivitas pedagogis, serta kesenjangan antara ekspektasi dan realitas implementasi teknologi. Penelitian ini bertujuan untuk mengkaji tingkat adopsi AI dalam pembelajaran bahasa Arab, harapan pengguna terhadap teknologi ini, serta implikasi pedagogis yang ditimbulkannya. Studi ini menggunakan pendekatan mixed-method dengan survei kuantitatif terhadap mahasiswa dan dosen di beberapa institusi pendidikan tinggi serta wawancara mendalam untuk memperoleh wawasan kualitatif mengenai pengalaman pengguna. Analisis data dilakukan menggunakan statistik deskriptif dan analisis tematik guna mengidentifikasi pola penggunaan, manfaat utama, serta hambatan yang dihadapi dalam implementasi AI. Temuan utama mengungkapkan bahwa AI telah meningkatkan efisiensi pembelajaran dan akses terhadap sumber daya digital, tetapi masih mengalami keterbatasan dalam aspek interaksi manusiawi dan pemahaman konteks bahasa yang kompleks. Kesimpulan penelitian ini menegaskan bahwa optimalisasi AI dalam pendidikan bahasa Arab memerlukan pendekatan pedagogis yang lebih adaptif serta peningkatan literasi digital di kalangan pengguna. Studi ini berkontribusi dengan menawarkan wawasan mendalam tentang faktor-faktor yang memengaruhi adopsi AI serta memberikan rekomendasi strategis bagi pengembang teknologi dan pendidik guna menciptakan ekosistem pembelajaran yang lebih inovatif dan inklusif berbasis AI. Kata kunci: Adoption, Kecerdasan Buatan, Efektivitas, Pembelajaran Bahasa, Pedagogi
Analisis Pendapatan Usahatani Padi (Oryza Sativa) Di Lahan Sub Optimal (Studi Kasus: Lahan Kering Di Kecamatan Jerowaru Kabupaten Lombok Timur) Mustar, Mustar; Iskandar, Muhammad Joni; Prasetyowati, Rini Endang; Anwar, Muhammad
Jurnal Pertanian Khairun Vol 4, No 2: (Desember 2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jpk.v4i2.10928

Abstract

Suboptimal land use for food availability is unavoidable, alternative rice farming in dry land is the current choice. The fluctuating prices of agricultural production factors require an in-depth study of detailed price estimates and allocations. The purpose of this study is to analyze the income of dry land rice farming in Jerowaru District. The study is descriptive, with purposive location selection, in a dry land rice agro-ecosystem with rain-fed irrigation in Sekaroh Village, Jerowaru District, East Lombok Regency. Respondents were determined by quota sampling of 30 people and selected randomly. Data were collected using observation techniques, structured interviews, and documentation, then analyzed using cash flow analysis techniques and described using descriptive methods. The results of the study obtained the production cost components of dry land rice farming amounted to Rp12,479,222/LLG or Rp14,321,187/ha, dry grain production harvested 4,519 tons, land productivity capacity reached 1.32 ku/LLG or 1.72 ku/ha. The farm income value is Rp25,649,000/LLG or Rp29,373,500/ha. The study concluded that the income from dryland rice farming in Jerowaru District is Rp13,169,778/LLG or Rp15,052,313/ha.
Effect of moringa leaf consumption on milk quantity in breastfeeding mothers: A Systematic Review Sardini, Sardini; Indryani, Indryani; Mustar, Mustar; Hasnidar, Hasnidar
Jurnal Ilmiah Kesehatan Sandi Husada Vol 14 No 2 (2025): Jurnal Ilmiah Kesehatan Sandi Husada
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Akademi Keperawatan Sandi Karsa (Merger) Politeknik Sandi Karsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35816/jiskh.v14i2.1320

Abstract

Introduction: Moringa (Moringa oleifera) leaves are rich in nutrients and phytochemicals that may enhance lactation performance. Breastfeeding mothers often experience inadequate milk production, and moringa supplementation has been explored as a potential natural galactagogue. Methods: This systematic review aimed to analyze the effects of moringa leaf consumption on breast milk quantity in lactating mothers. A comprehensive search was conducted using databases such as PubMed, Scopus, and Google Scholar for studies published between 2015 and 2025. Inclusion criteria encompassed randomized controlled trials and observational studies evaluating moringa leaf preparations (powder, extract, or capsules) compared with placebo or standard care. Data extraction focused on milk volume, lactation duration, and maternal nutritional outcomes. Results: Across the included studies, supplementation with moringa leaves consistently increased milk production. Most trials reported a significant increase in milk volume during the first 2 weeks postpartum compared with control groups (p < 0.05). Phytochemical components, such as flavonoids and saponins, in moringa are believed to stimulate prolactin secretion and enhance maternal nutrition. However, variations in dosage, preparation form, and study design led to moderate heterogeneity across studies. Conclusion: Moringa leaf consumption significantly enhances breast milk quantity among lactating mothers. Its use as a natural galactagogue holds promise in improving breastfeeding success and maternal nutrition, particularly in low-resource settings. Moringa leaf supplements can be recommended as a natural galactagogue for breastfeeding mothers, in conjunction with a balanced diet and adequate hydration, to support milk production and infant health.
Co-Authors Ali Musa Lubis Ali, Sarina Chaniago, Fransisko Febriyana, Nurul Fransisko Chaniago Hasan Busri Hasnidar Hasnidar Indryani, Indryani Iskandar, Muhammad Joni Ismawati Ismawati Isnaini, Yesinta Jamaluddin Jamaluddin Kausar, Ira Martinis Yamin Moh. Hasan Muhammad Anwar Muhammad Qodri Muhbib Abdul Wahab Padol, Almu Pattola PERTIWI, NADIA INDAH Prasetyowati, Rini Endang Rahman, Zainur Raswan Raswan, Raswan Sardini, Sardini Suci Fitriani, Suci Sulfianti Surya Sukti, Surya Susilawati, Susilawati Tamami, Keysa Umasugi, Muhammad Kumaini Wahab Wahab Yuliana Yuliana Yusraini yusraini