@thesis{thesis,
		author={ },
		title ={Analisis Perbandingan Kompresi Citra Menggunakan Lempel-Ziv-Markov Chain Algorithm (LZMA) dan Run Length Encoding},
		year={2022},
		url={},
		abstract={This study aims to design a computer application that can compress bmp or png
image. Bmp or png image can be compressed using the Lempel-Ziv-Markov chain
algorithm (LZMA) and using Run Length Encoding . The output of this application is
a new compressed file with the extension ERL. Average compression ratio between
the input file with the output file to bmp image using the Lempel-Ziv-Markov chain
Algorithm is 81.763% with an average time of 3315.3 milliseconds , while the average
compression ratio between the input file with the output file to bmp image using Run
Length Encoding is 34.670% with an average time of 5434.8 milliseconds . Average
compression ratio between the input file with the output file to png image using the
Lempel-Ziv-Markov chain Algorithm is 26.900% with an average time of 1169.3
milliseconds, while the average compression ratio between the input file with the
output file to png image using Run Length Encoding is -0.446% with an average time
of 1057.3 milliseconds.}
		}