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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer)
Dwi Asdini
Universitas Budi Darma, Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Sistem Pendukung Keputusan Penilaian Kinerja Manajer di PT. Pos Indonesia dengan Metode WASPAS Dwi Asdini; Miftahul Khairat; Dito Putro Utomo
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3767

Abstract

PT. Pos Indonesia is one of the State-Owned Enterprises (BUMN) which is engaged in shipping services. To face this business competition, a company must improve the quality of service to obtain customer satisfaction and maintain the smoothness and progress of the business. The improvement of the service process for the company cannot be separated from the role and contribution of a manager in the company. So that the feasibility of the performance of a manager must of course be considered and also assessed. To see the feasibility of a PT. Pos Indonesia manager doing a performance assessment. To get accurate performance appraisal results, a decision support system is carried out using the WASPAS method. Where the WASPAS method is considered appropriate to determine the best technician because it performs ranking based on predetermined criteria values. It is hoped that this research can help get effective results. In the study, it was found that managers were still eligible to be in the occupied positions
Analisis Perbandingan Kinerja Algoritma Huffman Dan Algoritma Levenstein Dalam Kompresi File Dokumen Format .RTF Dwi Asdini; Dito Putro Utomo
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5739

Abstract

Document files with the .RTF format are files that are quite often used but have a fairly large size. Large file sizes often experience problems when sending files where the sending process can take a long time and can consume a lot of storage space because too much large data is stored. This is certainly very difficult if there are many files that must be stored, while the storage media has a size limit. To overcome this problem it is necessary to do compression to compress the data. To choose the optimal algorithm for compressing document files, it is necessary to compare the Huffman algorithm and the Levenstein algorithm by measuring performance based on the Ratio Of Compression (RC), Compression Ratio (CR), Redundancy (Rd) and Space Saving (SS). After the calculation, the results of the most optimal algorithm in compressing document files are obtained, namely the Huffman algorithm with higher space saving and lower compression results compared to the Levenstein algorithm. This is because the greater the space saving (ss) the compression is getting better and faster.
Co-Authors Dito Putro Utomo Miftahul Khairat