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Anandita, Ida Bagus Gede
LPPM STMIK STIKOM Indonesia
Computer Science & IT

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Analisis Kinerja Dan Kualitas Hasil Kompresi Pada Citra Medis Sinar-X Menggunakan Algoritma Huffman, Lempel Ziv Welch Dan Run Length Encoding Anandita, Ida Bagus Gede; Gunadi, I Gede Aris; Indrawan, Gede
SINTECH (Science and Information Technology) Journal Vol 1 No 1 (2018): SINTECH Journal Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (766.28 KB) | DOI: 10.31598/sintechjournal.v1i1.179

Abstract

Technological progress in the medical area made medical images like X-rays stored in digital files. The medical image file is relatively large so that the image needs to be compressed. The lossless compression technique is an image compression where the decompression results are the same as the original or no information lost in the compression process. The existing algorithms on lossless compression techniques are Run Length Encoding (RLE), Huffman, and Lempel Ziv Welch (LZW). This study compared the performance of the three algorithms in compressing medical images. The result of image decompression will be compared to its performance in the objective assessment such as ratio, compression time, MSE (Mean Square Error) and PNSR (Peak Signal to Noise Ratio). MSE and PSNR are used for quantitative image quality measurement for subjective assessment assisted by three experts who will compare the original image with the decompression image. Based on the results obtained from the objective assessment of compression performance of RLE algorithm showed the best performance by yielding ratio, time, MSE and PSNR respectively 86,92%, 3,11ms, 0 and 0db. For Huffman, the results can be 12.26%, 96.94ms, 0, and 0db respectively. While LZW results can be in sequence -63.79%, 160ms, 0.3 and 58.955db. For the results of the subjective assessment, the experts argued that all images can be analyzed well.
RANCANG BANGUN APLIKASI MOBILE SISKA BERBASIS ANDROID Ceryna Dewi, Ni Kadek; Anandita, Ida Bagus Gede; Atmaja, Ketut Jaya; Aditama, Putu Wirayudi
SINTECH (Science and Information Technology) Journal Vol 1 No 2 (2018): SINTECH Journal Edition Oktober 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.607 KB) | DOI: 10.31598/sintechjournal.v1i2.291

Abstract

SISKA is an Academic Information System at Ganesha University of Education (UNDIKSHA) used for TESIS process. Starting from proposal submission, proposal seminar, pre thesis exam and thesis exam. So far the running application is still in web form. With so rapid development of Android-based applications, it will be made SISKA Android-based applications that will certainly make it easier for students and lecturers to access this application via Smartphone. In the development of this application will be used Eclipse commonly used for software development. Web-based SISKA application development into Android-based SISKA application provides a new look that is more user friendly, easy to use, and easy to access using smartphone  
Co-Authors Atmaja, Ketut Jaya Ceryna Dewi, Ni Kadek Gede Indrawan I Gede Aris Gunadi Putu Wirayudi Aditama