Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Scientechno: Journal of Science and Technology Pengabdian Jurnal Abdimas
Aziz, Saifiullah
Unknown Affiliation
Religion Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pattern Recognition System for Automating Medical Diagnosis Based on Image Data Irianti, Evi; Anis, Nina; Aziz, Saifiullah
Scientechno: Journal of Science and Technology Vol. 4 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v4i1.2126

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.
Quranic Generation: Community Service Program Develops Al-Quran Education Park Putri, Lusiana Rahmadani; Kamaluddin, Kamaluddin; Aziz, Saifiullah
Pengabdian: Jurnal Abdimas Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i2.1546

Abstract

Background. The community service program in Indonesia has become an important part of efforts to build a better community, including in the context of Al-Qur'an education. community service program activities can be an effective means to develop the potential of the younger generation in understanding and practicing the Al-Qur'an.Purpose. This study aims to explore the effectiveness of the community service program program in fostering Al-Qur'an Education Parks as an effort to strengthen the understanding and practice of the Al-Qur'an among the younger generation.Methods. This study uses a qualitative approach with case studies, involving data collection through participatory observation and in-depth interviews with community service program participants and managers of Al-Qur'an Education Parks.Results. The results of the study indicate that the community service program program is effective in improving the understanding and practice of the Al-Qur'an among the younger generation, with increased active participation in learning activities and religious life.Conclusions. The community service program can be used as a useful model in fostering Al-Qur'an Education Parks, by emphasizing the integration of Al-Qur'an values in the daily lives of the younger generation.
Co-Authors Anis, Nina Irianti, Evi Kamaluddin Kamaluddin Putri, Lusiana Rahmadani