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Muhammad Akhif
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Implementation of a Decision Support System for Contract Employee Recruitment Selection using the Simple Multi Attribute Rating Technique (SMART) Method Muhammad Akhif; Silfia Andini; Dinul Akhiyar
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.82

Abstract

LPMP West Sumatra is a company in the technical implementation department of the Ministry of Education and is led by leadership and is responsible to the Director General for Improving the Quality of Educators and Education Personnel (PMPTK). The selection process for hiring contract employees has difficulties because the system is still manual where all the processes from the initial stage of registration selection to the final stage of registration selection are all done manually so it takes quite a long time and is troublesome and drains a lot of energy and energy for the company management. . So there is a need for an online selection information system for contract employee recruitment at LPMP West Sumatra such as a decision support system. This Decision Support System (DSS) uses the Simple Multi Attribute Rating Technique (SMART) method. The SMART method is a decision-making method for handling multi-criteria problems based on calculating the criteria weights for each alternative. The aim of this decision support system was to be able to assist the selection process for hiring contract employees at LPMP West Sumatra quickly, precisely and accurately. The results obtained by the alternative with the name of the prospective contract employee were Ririn Novrianti with a score of 0.755. This helps West Sumatra LPMP leaders in determining prospective contract employees who meet the requirements for employment
Co-Authors Dinul Akhiyar Silfia Andini