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All Journal Journal of Computer System and Informatics (JoSYC) Bulletin of Information System Research
Hukendik Hutabarat
Universitas Budi Darma, Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Kinerja Algoritma Yamamoto’s Recursive Code dan Algoritma Fixed Length Binary Encoding pada Kompresi File PDF Yulrismawati Sihura; Taronisokhi Zebua; Hukendik Hutabarat
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2109

Abstract

The use of files in digital form is currently growing and requires media to store them. The more files that store, the more storage space need. This encourages the development of file reduction techniques or data compression techniques with the aim of reducing the required storage space. The compression technique has several algorithms that can be used to compress files such as Yamamoto's recursive code algorithm and Fixed Length Binary Encoding (FLBE). These algorithms have different performance to produce quality compressed results, so they need to be compared. This study describes the analysis and comparison of the performance of the two algorithms based on the exponential method as measured by the quality of the compressed pdf file. The exponential comparison method is one of the methods of the Decision Support System (DSS) to determine the priority order of decision alternatives with multiple criteria. Compression quality parameters that are measured as an alternative comparison are the value of the ratio of compression, compression ratio, space saving. Based on the results of the comparison with Exponential Comparison Method (MPE), it was found that the fixed length binary encoding algorithm has a better performance with a value of 2.55% compared to the Yamomoto's recursive code algorithm with a smaller value of 2.22%.
Data Mining Sistem Stock Opname Bahan Baku Catering Makanan Sehat Menggunakan Metode Min Max Stock Chyntia Kesuma; Efori Buulolo; Hukendik Hutabarat
Bulletin of Information System Research Vol 1 No 1 (2022): Desember 2022
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v1i1.33

Abstract

Competition in today's business world is increasing, there are more and more innovations made by every entrepreneur to increase sales of the products they make so that they can be accepted in the market and in the community. One of them is Healthy Food Medan, a company engaged in healthy food catering. In making healthy food, it is necessary to stock up on good raw materials, so that one day the company does not lack stock of raw materials. Healthy Food Medan itself will not be separated from the so-called stock taking of raw materials. Of course, it is very interesting to be used as research material. Because of this, a computer program was created to determine the stock of raw materials so that there is no shortage of raw materials. In the application with the Min-Max method, it is expected that the user will no longer have difficulties in terms of stock of raw materials. The Min-Max method itself is a method that determines the maximum amount of inventory and minimum inventory so that there are no shortages and excess goods. Aims to avoid excess and shortage of raw materials by calculating the amount of raw material inventory
Co-Authors Charles Joergensen E Munthe Chyntia Kesuma Efori Buulolo Nelly Astuti Hasibuan Taronisokhi Zebua Yulrismawati Sihura