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All Journal Jurnal Informatika dan Teknik Elektro Terapan International Journal of Advanced Science Computing and Engineering Jurnal Kecerdasan Buatan dan Teknologi Informasi
Sudirman, San
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Systematic Literature Review on Software Requirement Engineering in 5.0 Industry: Current Practices and Future Challenges Pujiharto, Eka Wahyu; Tikasni, Elisa; Lewu, Retzi; Sudirman, San; Utami, Ema
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 3 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.3.152

Abstract

The advancements in technology within the industrial era 5.0 are swiftly progressing, particularly in software research and development, exerting a profound influence on various facets of software engineering, notably known as requirements engineering. This research undertakes a systematic literature study from 2020 to 2023, focusing on software system requirements engineering publications and exploring diverse methodologies and implementations. Most are journals and proceedings within these years. This SLR identifies, evaluates and interprets the prevailing practices in Requirements Engineering within the domain of 5.0 Industry. Specifically, it sheds light on the basic method used recently, highlighting adopting agile methodologies, model-based engineering, and interdisciplinary collaboration as auspicious trends. Initially, a pool of 137 articles from Scopus discussing software requirements engineering was identified and refined to 53 final articles based on predefined keywords. This result shows that current methodologies and trends are lacking in meeting new difficulties, which was raised as the side effect of 5.0. It implies the importance of a greater emphasis on cybersecurity, agile development processes, interoperability, and the smooth integration of IoT and AI technologies. The needs are the formidable challenges stemming from the intricacies of system architectures, and the absence of standardization looms large, necessitating concerted efforts for resolution. System architecture must be made in a compact form without any bargain while, at the same time, international standards should be proposed to meet the evolution of software requirement engineering. These findings underscore the imperative for innovation, data security, and an integrative approach to navigating the dynamic landscape of Industry 5.0.
PERBANDINGAN SEGMENTASI CITRA SENI TARI PENDET DAN SENI BELA DIRI PENCAK SILAT: PENDEKATAN DENGAN MULTIRES UNET Sudirman, San; Setyanto, Arief; Kusnawi, Kusnawi
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4331

Abstract

This research compares image segmentation of the Pendet dance art and the Pencak Silat martial art using the MultiRes U-Net approach. Research methods include data collection, data pre-processing, data sharing, evaluation, and results. Evaluation results using the Dice coefficient, Jaccard index, and Mean Squared Error (MSE) metrics show the best scores for each dataset. The results of this research can increase understanding of these two arts and cultures through deeper visual analysis. The results of the image segmentation evaluation between Pendet dance and Pencak Silat martial arts using the MultiRes UNET approach show the best scores for Dice Coefficient (DC), Jaccard index, and Mean Squared Error (MSE). The best scores for the Pendet dance dataset are 98.47, 99.23, and 8.20E-04, while for the Pencak Silat dataset they are 88.29, 85.98, and 4.52E-04. Evaluation shows a good level of similarity between the segmented image and the original image.
A SECURE DIGITAL TRADING PLATFORM FOR ONLINE GAME ACCOUNTS USING DUAL AUTHENTICATION AND SMART PAYMENT INTEGRATION Nurkholis, Lalu Moh.; Sudirman, San; Maspaeni; Said, Muhammad
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 1 (2026): January 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i1.422

Abstract

The rapid growth of online gaming has increased the economic value of game accounts, leading to the emergence of online game account trading. However, most transactions are still conducted through informal channels, such as social media and online forums, which lack security, transparency, and reliable transaction records. This study aims to design and implement a web-based information system for online game account buying and selling by integrating OTP-based dual authentication and a payment gateway to improve security and transaction efficiency. The system was developed using the Waterfall method, consisting of requirement analysis, system design, implementation, testing, and maintenance stages. UML diagrams and an Entity Relationship Diagram were used to model system functionality and database structure. The system was implemented using PHP and MySQL and supports key features such as user management, game account management, secure login with OTP, transaction processing, payment gateway integration, reviews, and complaints. Black-box testing results indicate that all system functions operate according to the defined requirements. The implementation of OTP-based authentication improves access security by reducing the risk of unauthorized account use, while payment gateway integration ensures accurate and automated payment verification. The system also enhances transaction transparency through digital transaction records and purchase history. The results show that the proposed system provides a secure, efficient, and practical solution for online game account trading in a local business environment, supporting digital transformation and service professionalism for small-scale enterprises.
EFFICIENT HYBRID CNN-VISION TRANSFORMER FOR MEDICAL IMAGE CLASSIFICATION WITH LIMITED ANNOTATIONS Sudirman, San; Yani, Ahmad; Darmawan Bakti, Lalu
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 4 No. 3 (2025): September 2025
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v4i3.453

Abstract

Medical image classification is a critical component of computer-aided diagnosis systems, yet its performance is often hindered by the scarcity of annotated data. This situation is common in the medical domain due to ethical, cost, and labeling constraints. Convolutional Neural Networks (CNNs) are effective at extracting local features but are suboptimal at capturing global context. Conversely, Vision Transformers (ViTs) excel at modeling long-range dependencies but require large amounts of training data. To address these limitations, this study proposes a hybrid CNN–Vision Transformer model that integrates the strengths of both to improve classification performance under limited annotation conditions. The model was tested using the OrganAMNIST dataset, consisting of 53,339 two-dimensional abdominal CT images with 11 organ classes. Experimental results show that the model achieves an accuracy of 92.3%, an F1-score of 91.8%, and an AUC of 99.5%, with only 3.67 million parameters. Compared to ResNet50, this model reduces the number of parameters by 84% and increases inference speed by up to 2.4 times. Additionally, the model demonstrates better training stability compared to baseline models such as ResNet50 and ViT-Small. The results of the study show that the integration of local and global features in a hybrid architecture can simultaneously improve accuracy and efficiency. This approach has the potential to be applied to medical diagnosis systems with limited data and computational resources.
Co-Authors ahmad yani Arief Setyanto Darmawan Bakti, Lalu Ema Utami Kusnawi Kusnawi Lewu, Retzi Maspaeni MUHAMMAD SAID Nurkholis, Lalu Moh. pujiharto, eka wahyu Tikasni, Elisa