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All Journal World Psychology International Journal of Educational Narratives Journal of Computer Science Advancements Journal of Noesantara Islamic Studies International Journal of Educatio Elementaria and Psychologia Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Cognitionis Civitatis et Politicae Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Humanities Research Sustainability Islamic Studies in the World Journal of Advanced Pharmaceutical Research Sciences and Sustainability Scientechno: Journal of Science and Technology
Nina Anis
Monash University
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Education Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Social Sciences Other

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ISLAMIC ART AND ARCHITECTURE: THE INTERSECTION OF THEOLOGY, CULTURE, AND AESTHETICS IN THE MUSLIM WORLD Rashid Rahman; Nina Anis; Muchlis Daroini
Journal of Noesantara Islamic Studies Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v3i1.3462

Abstract

Islamic art and architecture represent a profound manifestation of the spiritual, cultural, and intellectual traditions of the Muslim world. Throughout history, artistic and architectural expressions in Islamic civilization have not only served aesthetic purposes but have also embodied theological principles and cultural identities. This study aims to analyze how theological concepts, cultural contexts, and aesthetic philosophies interact in shaping Islamic art and architecture across the Muslim world. The study employs a qualitative research design using an interdisciplinary analytical approach that integrates perspectives from Islamic studies, art history, cultural studies, and architectural theory. Data were collected through document analysis of architectural records, historical sources, and scholarly literature, followed by thematic interpretation and comparative analysis of selected Islamic architectural examples. The findings reveal that Islamic art and architecture consistently reflect theological concepts such as tawhid, harmony, and transcendence through geometric ornamentation, calligraphic decoration, and balanced spatial structures. Cultural diversity across regions contributes to stylistic variation while maintaining shared symbolic principles rooted in Islamic belief. The study concludes that Islamic art and architecture function as integrated expressions of theology, culture, and aesthetics, illustrating how religious worldview and cultural identity shape artistic creativity within the Muslim world.
PATTERN RECOGNITION SYSTEM FOR AUTOMATING MEDICAL DIAGNOSIS BASED ON IMAGE DATA Evi Irianti; Nina Anis; Saifiullah Aziz
Scientechno: Journal of Science and Technology Vol. 4 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i3.2126

Abstract

The increasing volume and complexity of medical image data have presented significant challenges for healthcare professionals in delivering timely and accurate diagnoses. Traditional diagnostic processes are often time-consuming and prone to human error, underscoring the need for automated solutions. This study aims to develop a pattern recognition system to automate medical diagnosis using image data, thereby improving diagnostic accuracy and efficiency. A hybrid methodology was employed, combining image preprocessing, feature extraction using convolutional neural networks (CNNs), and classification through deep learning algorithms. The system was trained and validated using publicly available medical image datasets across various disease types. The results demonstrate high diagnostic accuracy, with the system achieving over 92% precision in identifying disease patterns from image inputs. Furthermore, the model exhibited robustness across different imaging modalities, such as X-rays, MRIs, and CT scans. These findings suggest that the proposed pattern recognition system can serve as a reliable support tool for medical practitioners. In conclusion, the integration of image-based pattern recognition in medical diagnostics holds significant promise in enhancing clinical decision-making processes and reducing diagnostic errors.
Co-Authors Aiman Fariq Alaa Chahine Alal Chahine Amina Azhigali Asep Kusmawan Chen Mei Deni Iqbal Elliya Sestri Evi Irianti Haidar Bilaleya Hazmi, Muhammad Hendro Wijiantoro Indriani MR Hutagalung Loso Judijanto Luluk Alfiya Makhrus Ali Manurung, Edison Hatoguan Mirza Ilhami Muchlis Daroini Muh. Ilham Usman, Muh. Ilham Muh. Nur Mujiburrohman Munirah Nong Chai Nurul Huda Nurul Huda Opan Arifudin Pong Krit Rashid Rahman Rifa Andriana Rina Farah Rinovian Rais Ruri Angelia Kusuma Saifiullah Aziz Syarifatul Hayati Zarfi Zain Nizam