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Journal : Jurnal Ilmu Komputer

Usage analysis of SVD, DWT and JPEG compression methods for image compression Dewa Ayu Indah Cahya Dewi; I Made Oka Widyantara
Jurnal Ilmu Komputer Vol 14 No 2 (2021): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2021.v14.i02.p04

Abstract

Through image compression, can save bandwidth usage on telecommunication networks, accelerate image file sending time and can save memory in image file storage. Technique to reduce image size through compression techniques is needed. Image compression is one of the image processing techniques performed on digital images with the aim of reducing the redundancy of the data contained in the image so that it can be stored or transmitted efficiently. This research analyzed the results of image compression and measure the error level of the image compression results. The analysis to be carried out is in the form of an analysis of JPEG compression techniques with various types of images. The method of measuring the compression results uses the MSE and PSNR methods. Meanwhile, to determine the percentage level of compression using the compression ratio calculation. The average ratio for JPEG compression was 0.08605, the compression rate was 91.39%. The average compression ratio for the DWT method was 0.133090833, the compression rate was 86.69%. The average compression ratio of the SVD method was 0.101938833 and the compression rate was 89.80%.
Grouping of Electricity Regions with K-Medoid Algorithm Cahya Dewi, Dewa Ayu Indah
Jurnal Ilmu Komputer Vol 17 No 1 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIK.2024.v17.i01.p04

Abstract

All human activities are inseparable from the current use of electricity. Electricity sourced from renewable energy is an alternative for areas that have difficulty accessing electricity from PLN. This research gathers data on electricity consumers in Indonesia by utilizing the K-Medoid algorithm and the Davies-Bouldin Index (DBI). The DBI is used to test the quality of clustering so that the optimal cluster in this study is obtained with the lowest DBI value of 0.386 with 3 clusters. The cluster analysis results reveal that fewer areas utilize electricity sourced from PLN compared to non-PLN or renewable energy sources. Based on this, recommendations can be proposed to enhance development, making it more accessible for villages to be electrified from PLN or to increase the electrification of villages currently not using electricity. source of electricity from non-PLN to realize the Bright Indonesia Program.