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Implementasi Metode Waspas Dalam Menyeleksi Posisi Chief Staff Pada Pt. Codinglab Dengan Metode Pembobotan Roc Amanudin Harahap
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.v6i1.5691

Abstract

PT. CodingLab Medan within a certain period of time always evaluates the performance of its employees. The results of the performance appraisal will then be processed in the selection of promotions, including the position of Chief Staff. However, in evaluating the performance appraisal of PT. CodingLab employees, the process is still done manually (based on the owner's assessment). So that the results of the assessment can result in an inaccurate and subjective assessment. Based on the problems described above, a Decision Support System (DSS) is needed which is expected to help existing problems because of the weight of the values used, the selection process can be more effective and optimal. In addition, SPK makes it easier to evaluate employee performance. The ROC and WASPAS methods are very suitable to be used in the process of selecting employees by developing a website-based information system that makes it easier for users to carry out their activities. The results of this study indicate that with the decision support system (DSS) which was built with a combination of the ROC and WASPAS methods, PT. Codinglab Medan can conduct an assessment of employees so that they can select the position of chief staff more quickly, precisely and objectively.
Sistem Pendukung Keputusan Pemilihan Aplikasi Chat Terbaik Dalam Mendukung Pembelajaran Daring di Masa Pandemi Covid Menggunakan Metode Multi Attribute Utility Theory Mesran Mesran; Amanudin Harahap; Fifto Nugroho
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 3 (2023): Maret 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5991

Abstract

The Chating application is a virtual communication service either through messages, voice calls, or video calls that can assist in conducting online lectures during a pandemic. There are many types of applications that can be used to communicate during online lectures. Such as the Telegram application, Whatsapp application, Discord, KaKaoTalk, Line or WeChat and other social media applications that can be used to communicate personally or in groups. However, these applications have their own advantages and disadvantages that can affect the comfort and optimization of learning. Therefore, to determine the best Chating application, each alternative must have its own criteria as a requirement for the optimization of the application. As in this study, the authors added some data as criteria, namely Group Support, Member Capacity, Security, Account Privacy and Services provided by the application. Which, each criterion has a predetermined weight and is carried out with a settlement process using the Multi Attribute Utility Theory (MAUT) method for the ranking process. From calculations using the Multi Attribute Utility Theory (MAUT) method, it will produce sequential alternatives from the highest to the lowest. The alternative value which is Qi or the highest ranking will be used as an alternative recommendation for chat applications that will be used as a tool to support online learning during the Covid pandemic.