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All Journal Buletin Peternakan JURNAL ILMIAH MANAJEMEN BISNIS DAN TERAPAN Al-Mustashfa MAHKAMAH: Jurnal Kajian Hukum Islam Jurnal Ilmiah Universitas Batanghari Jambi Alfaz (Arabic Literatures for Academic Zealots) J-MAS (Jurnal Manajemen dan Sains) Jurnal Neraca: Jurnal Pendidikan dan Ilmu Ekonomi Akuntansi Eksis: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Masyarakat dan Budaya Nizham Journal of Islamic Studies Al-Ittijah : Jurnal Keilmuan dan Kependidikan Bahasa Arab JURNAL AKTUAL AKUNTANSI KEUANGAN BISNIS TERAPAN (AKUNBISNIS) Informatics and Computer Engineering Journal E-JRM Science of Management and Students Research Journal (SMS) Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis Triwikrama: Jurnal Ilmu Sosial Jurnal Sains Student Research An-Nafis: Jurnal Ilmiah Keislaman dan Kemasyarakatan Santri : Jurnal Ekonomi dan Keuangan Islam Jurnal Intelek Insan Cendikia Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research) An Namatul Ausath Al-Mustashfa: Jurnal Penelitian Hukum Ekonomi Syariah Jurnal Pengabdian Masyarakat
Ubaidillah Ubaidillah
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Penerapan Metode Diskusi dan Studi Kasus dalam Pembelajaran Fikih di MAN 1 Balangan Ubaidillah Ubaidillah
An-Nafis: Jurnal Ilmiah Keislaman dan Kemasyarakatan Vol. 4 No. 2 (2025): Published in October of 2025
Publisher : STIT Syekh Muhammad Nafis Tabalong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62196/nfs.vi.107

Abstract

Fiqh learning in Islamic schools is often dominated by lectures, which leaves students passive and less actively involved in the learning process. However, fiqh material requires in-depth understanding and critical and analytical thinking skills. This study focuses on the application of discussion and case study methods in fiqh learning at MAN 1 Balangan, with the aim of determining how these methods influence students' activeness in expressing opinions, their ability to listen and respond to peers' arguments, and their involvement in collaborative problem-solving. This study used a qualitative approach with descriptive methods. Data collection techniques were carried out through observation, interviews with fiqh teachers and students, and documentation during the learning process. The results showed that discussion and case study methods were able to increase active student participation, foster courage in expressing opinions, and develop the ability to listen critically and respond to arguments constructively. In addition, students demonstrated high engagement in group work to solve fiqh problems, reflecting the development of collaborative skills and understanding of Islamic law. Although there were still obstacles such as unequal student participation and time constraints, the application of these methods was generally proven effective and relevant to the principle of deliberation in Islam and the demands of 21st-century learning. Therefore, it is recommended that discussion and case study methods be further developed in Islamic jurisprudence (fiqh) learning in madrasas.
Sistem Informasi Deteksi Deepfake Video Promosi Affiliate Menggunakan Arsitektur Inception-ResNet v2 Joko Dwi Mulyanto; Supriatiningsih Supriatiningsih; Ubaidillah Ubaidillah
Informatics and Computer Engineering Journal Vol 6 No 2 (2026): Periode Juli 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v6i2.13694

Abstract

Maraknya pemanfaatan video pendek dalam platform affiliate marketing saat ini menghadapi ancaman siber baru berupa teknologi deepfake. Manipulasi wajah tokoh publik atau influencer oleh pihak tidak bertanggung jawab untuk mengejar komisi afiliasi berpotensi merusak integritas sistem, merugikan konsumen, dan menurunkan reputasi platform e-commerce. Penelitian ini bertujuan untuk merancang sebuah subsistem tata kelola konten (Content Governance IS) otomatis guna mendeteksi dan memitigasi penyebaran video deepfake promosi produk. Metode yang diusulkan mengintegrasikan algoritma Multi-task Cascaded Convolutional Networks (MTCNN) pada tahap preprocessing untuk mengekstrak Region of Interest (ROI) wajah secara dinamis ke dalam matriks 160 X 160 piksel melalui lingkungan Google Colab. Selanjutnya, klasifikasi biner dilakukan memanfaatkan teknik Transfer Learning berbasis arsitektur Deep Learning Inception-ResNet v2 yang dikombinasikan dengan Global Average Pooling serta lapisan dropout (rate=0.5) untuk mencegah overfitting. Pengambilan keputusan pada sistem informasi ini menerapkan Three-Tier Decision Framework dengan pembagian zona otomatis (Approved, Pending untuk Audit, dan Rejected). Sesuai hipotesis, implementasi model ini mampu menghasilkan deteksi dengan tingkat akurasi yang tinggi serta efisiensi waktu pemrosesan komputasi yang sangat cepat (waktu inferensi < 1 detik per video). Hasil penelitian ini diharapkan dapat memberikan kontribusi signifikan berupa model arsitektur sistem informasi keamanan konten yang tangguh, adaptif, dan siap diintegrasikan sebagai API pada sistem manajemen konten skala besar.
Co-Authors Abdulrohman Abdulrohman Ahmad Yani Anarofida Anarofida Dawimatus Sholihah Dewi Sabita Slamet Dodi Devitriano Dwirini Dwirini Dyah Nawangsari Eko Agus Alfianto Ermadiani, Ermadiani Fadhilatul Azkiya Hayat Hayat Hepni Hepni Joko Dwi Mulyanto KHAIRUL ANWAR Komari Komari M Alpin Syahrir M. Zahari Marifati, Imam Soleh Masriah Masriah maulana saufi Meihilda Hoda Pratiwi Muhammad Koyum Muhammad Yunus N. Rachma Nur Wahyudi Rahmi Dianita Ratih Apri Utami Ratu Najwa Sa’datunnisa Revis Asra Rizan Zulfikri Rizky Bangkit Pamungkas Rohmi Fuadi Sakinah Sakinah Samsudin Samsudin Sapna Dwi Elisa Solehudin Yulianto Sudirman Sudirman Sudirman Sudirman Sugi Fitriyani Suheri Suheri Supriatiningsih, Supriatiningsih Tika Amelia Tjandrakirana, Rina Vivin Hermawati Wiranto Wiranto Yun Alwi Yuyun Rohmatul Uyuni