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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Journal Electrical and Computer Experiences
Qur’ana, Tri Wahyu
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Library & Information Science Public Health

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Journal : Journal Electrical and Computer Experiences

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Implementation of Fuzzy C-Means Algorithm with Lossy Method for Sasirangan Image Compression Qur’ana, Tri Wahyu; M. Dedy Rosyadi
Journal Electrical and Computer Experiences Vol. 2 No. 1 (2024): January-June
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v2i1.222

Abstract

Sasirangan as the Banjar people's creative work is a typical icon of South Kalimantan and Widely known for its patterns and uniqueness which highly demanded by local, national and foreign people. Sasirangan textile marketing using the marketplace, Sasirangan image with patterns of different colours have large storage capacity, as well as uploading images of Sasirangan patterns in e-commerce requires large bandwidth, while the constraints on MSME entrepreneurs have limited Internet bandwidth access. Image compression aims to convert data files into smaller files for efficient storage and effective data transmission. The vector quantization method is a mapping of image data in the form of irregular bits, so the mapping uses the fuzzy C-mean algorithm. The achieved compression kulat kurikit.jpg is higher than that of other images, with a compression ratio of 88.5233600% and a file size of 566 KB. a better quality than the others due to its more uniform grey scale colour composition for the same block vector and codebook.
Co-Authors Anwar, Rezky Izzatul Yazidah Arminarahmah, Nur Dharmawati, Adani Kholdani, Al Fath Riza M. Dedy Rosyadi Rosyadi, M. Dedy