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Dakwah di Tengah Keragaman Masyarakat: Hakikat dan Strategi Nuwairah, Nahed
Alhadharah: Jurnal Ilmu Dakwah Vol 13, No 25 (2014)
Publisher : UIN Antasari Banjarmasin

Creating an atmosphere of harmony in extremely diverse Indonesian society requires togetherness of various parties, including the preacher, who bear the responsibility to reflect the values of kindness in all aspects of human life. Dakwah creative and innovative approach is a challenge for the preachers who are required to observe and understand the reality of the diversity of Indonesia. This paper attempts to examine the nature of dakwah, namely freedom, rationality, and universalism within the framework of the diversity of the community in Indonesia. In addition, it also offers a model of dakwah strategies in the effort to build religiousity in the middle of the growing diversity of Indonesia, with hope in the future there are efforts to elaborate more systematically

DAKWAH DI TENGAH KERAGAMAN MASYARAKAT: HAKIKAT DAN STRATEGI Nuwairah, Nahed
Alhadharah: Jurnal Ilmu Dakwah Vol 13, No 25 (2014)
Publisher : UIN Antasari Banjarmasin

Creating an atmosphere of harmony in extremely diverse Indonesian society requires togetherness of various parties, including the preacher, who bear the responsibility to reflect the values of kindness in all aspects of human life. Dakwah creative and innovative approach is a challenge for the preachers who are required to observe and understand the reality of the diversity of Indonesia. This paper attempts to examine the nature of dakwah, namely freedom, rationality, and universalism within the framework of the diversity of the community in Indonesia. In addition, it also offers a model of dakwah strategies in the effort to build religiousity in the middle of the growing diversity of Indonesia, with hope in the future there are efforts to elaborate more systematically

STRATEGI DAKWAH MELALUI MEDIA TELEVISI (TINJAUAN METODE PENGEMBANGAN DAKWAH) Nuwairah, Nahed
Khazanah: Jurnal Studi Islam dan Humaniora Vol 3, No 1 (2005)
Publisher : UIN Antasari Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/khazanah.v3i1.3163

Sebagai medium informasi kebenaran, dakwah sudah semestinya memiliki penguasaan terhadap jaringan komunikasi dan informasi. Saat ini, di tengah maraknya dunia pertelevisian di tanah air perlu dikembangkan sistem dakwah melalui media televisi yang menggunakan teknologi informasi yang efisien. Manfaat televisi sebagai media penerangan, pendidikan dan penghibur dengan bobot Islami mestinya menyatu dan mengalir pada setiap program televisi sehingga bermuatan dakwah, dengan tampilan yang dinamis, aktual dan menarik. Melalui tulisan ini, penulis mencoba membahas bagaimana strategi dakwah melalui media televisi sehingga diharapkan ia menjadi pengisi nilai spiritual bagi pemirsa, khususnya masyarakat muslim

AI and Islamic Communication: Technological Innovations for Dakwah Broadcasting in the Digital Era Priyatna, Surya; Nuwairah, Nahed
Proceedings of International Conference on Da'wa and Communication Vol. 6 No. 1 (2024): The Future of Digital Communication Prediction: Personalized Communication with
Publisher : Da’wa and Communication Faculty of the Sunan Ampel State Islamic University, Surabaya, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/icondac.v6i1.1887

The advent of Artificial Intelligence (AI) has ushered in transformative changes across various sectors, including religious communication and broadcasting. This paper explores the integration of AI within the realm of Islamic communication, specifically focusing on technological innovations that enhance the effectiveness and reach of dakwah (Islamic preaching) in the digital era. By leveraging AI, Islamic communicators can automate content creation, analyze audience engagement, and personalize communication strategies, thereby making dakwah more relevant and impactful. The study delves into the theoretical foundations of AI in communication, presenting a comprehensive overview of how AI technologies can be harnessed to revolutionize dakwah practices. Through the implementation of natural language processing, machine learning, and data analytics, AI provides tools for crafting engaging and personalized Islamic messages that resonate with diverse audiences. Furthermore, the paper examines case studies where AI has successfully been integrated into dakwah initiatives, showcasing the practical benefits and challenges encountered. By adopting AI-driven approaches, Islamic broadcasters can achieve greater engagement, efficient content dissemination, and insightful audience analysis. This research underscores the potential of AI to not only modernize dakwah but also ensure its alignment with contemporary digital communication trends, ultimately contributing to the sustained propagation of Islamic teachings in the modern world.

Klasifikasi Konten Pada Situs Web Dakwah Indonesia Menggunakan Text Mining Untuk Deteksi Paham Islam Radikal Nuwairah, Nahed; Munsyi, Munsyi; Amrullah, Amrullah; Ariani, Anita; Aslamiah, Rabiatul
Technologia : Jurnal Ilmiah Vol 15, No 4 (2024): Technologia (Oktober)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v15i4.16333

Konten radikalisme Islam dalam konteks prosedural merujuk pada konten yang memprovokasi kekerasan, menyebarkan kebencian, dan menentang nasionalisme melalui dakwah Islam di situs web Indonesia. Definisi radikalisme berbeda di setiap negara, dan di Indonesia, radikalisme diidentifikasi dengan isu provokasi serta kebencian terhadap SARA (Suku, Agama, Ras, Antargolongan). Deteksi konten SARA sangat menantang karena jumlahnya yang besar, sistem yang tidak terstruktur, dan banyaknya gangguan yang disebabkan oleh beragam interpretasi. Masalah ini dapat mengancam persatuan dan keharmonisan agama di Indonesia. Berdasarkan kondisi ini, diperlukan sistem untuk membedakan apakah suatu konten bersifat radikal atau tidak. Kami mengusulkan pendekatan text mining menggunakan ambang DF dan ekstraksi fitur berbasis otak manusia. Sistem ini terdiri dari beberapa langkah, termasuk pengumpulan data, pra-pemrosesan, text mining, seleksi fitur, klasifikasi untuk pengelompokan data berdasarkan label kelas, perhitungan kesamaan untuk pemrosesan data pelatihan, dan visualisasi untuk menentukan apakah konten tersebut radikal atau tidak. Penelitian ini diharapkan dapat memberikan literasi kepada pengguna yang mengakses situs web yang terpapar paham radikal, sehingga dapat menekan penyebaran provokasi di situs web di Indonesia. Hasil eksperimen menunjukkan bahwa kombinasi validasi silang 10 kali lipat dan metode k-Nearest Neighbor (kNN) sebagai metode klasifikasi mencapai akurasi sebesar 66,37% dengan nilai k sebesar 7, berdasarkan data yang dikumpulkan menggunakan web scrapping dari situs yang diblokir oleh Kementerian Komunikasi dan Informatika Indonesia (Menkominfo).

Implementasi Akreditasi Dayah Dalam Peningkatan Mutu Pendidikan di Aceh (Studi Kasus Dayah Darul Wustha Labuhan Haji Aceh Selatan) Mirsal, Ilham; Fuadi, Anwar; Rani, Samsul; Nuwairah, Nahed
Jurnal Pendidikan Indonesia : Teori, Penelitian, dan Inovasi Vol 5, No 2 (2025): Jurnal pendidikan Indonesia: Teori, Penelitian, dan Inovasi
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpi.v5i2.1433

Dayah / boarding school accreditation in Aceh is a comprehensive assessment process of the feasibility of dayah education units based on 8 standards set by the Aceh Dayah Accreditation Board (BADA), in order to realize the form of recognition and feasibility rating (typology) of dayah issued by the Aceh Government. This research was conducted to find out and describe the implementation of Aceh Dayah Accreditation in improving the quality of dayah education by using the system and mechanism of dayah accreditation in 2022-2023. The method used is descriptive qualitative with interview, observation, and documentation techniques. The results show that the implementation of accreditation is in accordance with the SOP, with the acquisition of typology A+ at Dayah Darul Wustha Labuhaji.ABSTRAKAkreditasi dayah/pesantren di Aceh merupakan suatu proses penilaian secara komprehensif terhadap kelayakan satuan pendidikan dayah berdasarkan 8 standar yang telah ditetapkan oleh Badan Akreditasi Dayah Aceh (BADA), guna mewujudkan bentuk pengakuan dan peringkat kelayakan (tipologi) dayah yang dikeluarkan oleh Pemerintah Aceh. Penelitian ini dilakukan guna mengetahui dan mendeskripsikan pelaksanaan Akreditasi Dayah Aceh dalam meningkatkan mutu pendidikan dayah dengan menggunakan sistem dan mekanisme akreditasi dayah tahun 2022-2023. Metode yang digunakan adalah kualitatif deskriptif dengan teknik wawancara, observasi, dan dokumentasi. Hasil menunjukkan bahwa pelaksanaan akreditasi sesuai dengan SOP, dengan perolehan tipologi A+ pada Dayah Darul Wustha Labuhaji.

Culturally Responsive AI: Designing Emotion Recognition Systems that Account for Diverse Non-Verbal Communication Styles. fuadi, Anwar; Nuwairah, Nahed; Rani , Samsul; Ilham, Ilham; Herlita, Jumi
International Journal of Research in Counseling Vol. 4 No. 1 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/ijrc.v4i1.274

Emotion recognition systems powered by artificial intelligence (AI) have rapidly gained prominence in mental health, education, and human-computer interaction. However, many existing models are built on limited, often Western-centric datasets, which overlook the rich diversity of non-verbal communication across cultures. This paper proposes a culturally responsive AI framework for designing emotion recognition systems that are inclusive of varied facial expressions, gestures, gaze behaviors, and prosodic cues observed in different cultural contexts. Using an interdisciplinary methodology that combines affective computing, cross-cultural psychology, and sociolinguistics, this study analyzes discrepancies in emotional signaling and examines how AI systems can be trained to interpret emotional data in a contextually appropriate way. Findings reveal that culturally insensitive models risk misinterpretation, leading to ethical and practical challenges in real-world applications. The paper offers design principles, ethical considerations, and implementation strategies for developing AI systems that are not only accurate but also equitable and socially aware. This work contributes to ongoing efforts in human-centered AI and highlights the importance of cultural sensitivity in next-generation affective technologies.

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