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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
Nainggolan, Dian Wichita
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Penerapan Metode MOOSRA Pada Sistem Pendukung Keputusan Pemilihan Leader Produksi Nainggolan, Dian Wichita; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 7, No 1 (2024): Transformasi Komputasi Kuantum Untuk Percepatan Teknologi Baru
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v7i1.8049

Abstract

The selection of production leaders at PT. Sagami Indonesia is determined based on the scores obtained from each criterion set by the company. However, choosing a leader is not easy due to the presence of many candidates meeting the criteria, and the results obtained are still less effective because there is no strong regulation in the process. To address this issue, there is a need for an assessment using a Decision Support System application to assist in decision-making for selecting production leaders. Subsequently, the analysis is conducted using the MOOSRA method to obtain rankings based on the final scores of alternatives. Based on the test results, it can be concluded that the Decision Support System application for leader selection, using the MOOSRA method, can help prevent fraud in the production leader selection process.
Co-Authors Dito Putro Utomo