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All Journal The IJICS (International Journal of Informatics and Computer Science) Building of Informatics, Technology and Science
Zahri Hubby Ramadhani
Universitas Budi Darma, Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Implementation of TOPSIS Method in the Selection of Candidates for the Student Skills Competition in Technical Competence Drawing Building Juanda Hakim Lubis; Mesran Mesran; Garuda Ginting; Zahri Hubby Ramadhani; Delvi Syahfitri
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 3 (2021): November 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i3.3405

Abstract

The selection of prospective participants in the student skills competition is a prestigious event for all students who attend Vocational High Schools throughout Indonesia, a prospective LKS is tasked with providing the results of a job in the competence of the competition being contested.The selection of the expected LKS candidates is not easy, because the decision to accept or not LKS candidates is still carried out in the old way, namely based on the selection of teachers in the competency areas being contested. This results in inaccurate selection decision making and the results are not appropriate and not on target, for that a decision support system is needed that will later assist decision making. Decision support system with application of methodTechnique for Others Reference by Similarity to Ideal Solution (TOPSIS) It is very much needed in order to be able to help make the right decisions in determining the selection of prospective student skills competitions (LKS) on building drawing engineering competencies. Technique For Others Reference by Similarity to Ideal Solution is a multi-criteria decision-making method or alternative choice which is an alternative that has the smallest distance from the positive ideal solution and the largest distance from the negative ideal solution from a geometric point of view by using distance.TOPSIS is known that from 3 three students the higher preference value is 0.8846, so that the result of the best student selection decision is the 2nd student. and accurate so that the resulting information can be used as decision support.
Implementasi Metode MOORA Dengan Pembobotan Rank Order Centroid (ROC) dalam Seleksi Penerimaan Staff Gudang PT. Royal Abadi Sejahtera Zahri Hubby Ramadhani; Nelly Astuti Hasibuan; Dito Putro Utomo
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2073

Abstract

Warehouse staff is a job related to the storage of goods for production or production. Therefore, the person who occupies the position is required to have certain criteria. However, during this time, the warehouse head of PT. Royal Abadi Sejahtera has experienced difficulties in the process of accepting warehouse staff, because there are many applicants who come to apply and do not meet the expected criteria. The problem faced in this research is that the company is still doing the selection by looking at prospective staff willing to work, the work does not only require a level of willingness to work, but has skills, education, work experience, attitude in work and good communication. Decision Support System is a system that is used to assist in the decision-making process in an organization. In the process the Decision Support System uses several methods used in the decision-making process and one of them is the MOORA (Multi Objective Optimization on the Basis of Ratio Analysis) method and the ROC (Rank Order Centroid) method for the weighting process. The benefits that the author wants to achieve in this study are to assist the company in facilitating the process of accepting warehouse staff as input for companies in making decisions using a decision support system to provide a more objective assessment resulting from the Decision Support System.
Co-Authors Delvi Syahfitri Garuda Ginting Juanda Hakim Lubis Mesran, Mesran Nelly Astuti Hasibuan