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All Journal Jurnal Teliska Journal of System and Computer Engineering
Fadliana, Nurul
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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CNN Modeling for Classification of Bugis Traditional Cakes Iskandar, Imran; Jeffry, Jeffry; Fadliana, Nurul; Rimalia, Watty; Ahyana, Nurul
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1685

Abstract

Abstract This research aims to create a classification system that can recognize traditional Bugis cakes using the Convolutional Neural Network method. (CNN). Traditional Bugis cakes play an important role in Indonesia's culinary heritage, which is rich in diversity and flavor. However, the lack of documentation and sufficient recognition of these cakes could lead to the loss of cultural knowledge. In this study, a collection of images of traditional Bugis cakes was gathered and processed for training a CNN model. This model was created to recognize and classify various types of cakes based on their visual attributes. The evaluation results show that the CNN model can achieve a high level of accuracy in identifying these cakes, making it a useful tool in preserving and promoting traditional Bugis cakes. This research is expected to contribute to the development of image recognition technology and raise public awareness about the richness of local culinary heritage. Keywords : Convolutional Neural Network (CNN), Bugis Cake, Indonesian Cuisine
IMPLEMENTASI SOFTWARE AS A SERVICE UNTUK SISTEM E-LEARNING BERBASIS CLOUD COMPUTING MENGGUNAKAN METODE ROCCA Fadliana, Nurul; Ahyana, Nurul
JURNAL TELISKA Vol 18 No II (2025): TELISKA Juli 2025
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15856002

Abstract

The adoption of cloud computing has significantly transformed the development of interactive digital learning media by enabling more efficient creation, storage, and distribution of content. This study explores the use of Google Sites as a cloud-based platform for designing and delivering interactive learning materials. The research aims to assess its effectiveness in enhancing accessibility, collaboration, and learner engagement within the digital learning environment at Barombong Maritime Polytechnic. A qualitative approach is used, focusing on usability, functionality, and user experience. The findings reveal that Google Sites provides a flexible, cost-effective, and user-friendly solution for educators to develop and manage online learning resources. The integration of cloud computing into learning media development encourages innovation and improves digital literacy among both educators and learners. This research contributes to the body of knowledge surrounding cloud-based educational tools and offers practical insights for educators seeking to maximize the use of technology in teaching and learning.
Co-Authors Iskandar, Imran Jeffry Jeffry Nurul Ahyana Rimalia, Watty