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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.